# Telegraf Configuration
#
# Telegraf is entirely plugin driven. All metrics are gathered from the
# declared inputs, and sent to the declared outputs.
#
# Plugins must be declared in here to be active.
# To deactivate a plugin, comment out the name and any variables.
#
# Use 'telegraf -config telegraf.conf -test' to see what metrics a config
# file would generate.
#
# Environment variables can be used anywhere in this config file, simply surround
# them with ${}. For strings the variable must be within quotes (ie, "${STR_VAR}"),
# for numbers and booleans they should be plain (ie, ${INT_VAR}, ${BOOL_VAR})


# Global tags can be specified here in key="value" format.
[global_tags]
  # dc = "us-east-1" # will tag all metrics with dc=us-east-1
  # rack = "1a"
  ## Environment variables can be used as tags, and throughout the config file
  # user = "$USER"

# Configuration for telegraf agent
[agent]
  ## Default data collection interval for all inputs
  interval = "10s"
  ## Rounds collection interval to 'interval'
  ## ie, if interval="10s" then always collect on :00, :10, :20, etc.
  round_interval = true

  ## Telegraf will send metrics to outputs in batches of at most
  ## metric_batch_size metrics.
  ## This controls the size of writes that Telegraf sends to output plugins.
  metric_batch_size = 1000

  ## Maximum number of unwritten metrics per output.  Increasing this value
  ## allows for longer periods of output downtime without dropping metrics at the
  ## cost of higher maximum memory usage.
  metric_buffer_limit = 10000

  ## Collection jitter is used to jitter the collection by a random amount.
  ## Each plugin will sleep for a random time within jitter before collecting.
  ## This can be used to avoid many plugins querying things like sysfs at the
  ## same time, which can have a measurable effect on the system.
  collection_jitter = "0s"

  ## Collection offset is used to shift the collection by the given amount.
  ## This can be be used to avoid many plugins querying constraint devices
  ## at the same time by manually scheduling them in time.
  # collection_offset = "0s"

  ## Default flushing interval for all outputs. Maximum flush_interval will be
  ## flush_interval + flush_jitter
  flush_interval = "10s"
  ## Jitter the flush interval by a random amount. This is primarily to avoid
  ## large write spikes for users running a large number of telegraf instances.
  ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
  flush_jitter = "0s"

  ## Collected metrics are rounded to the precision specified. Precision is
  ## specified as an interval with an integer + unit (e.g. 0s, 10ms, 2us, 4s).
  ## Valid time units are "ns", "us" (or "µs"), "ms", "s".
  ##
  ## By default or when set to "0s", precision will be set to the same
  ## timestamp order as the collection interval, with the maximum being 1s:
  ##   ie, when interval = "10s", precision will be "1s"
  ##       when interval = "250ms", precision will be "1ms"
  ##
  ## Precision will NOT be used for service inputs. It is up to each individual
  ## service input to set the timestamp at the appropriate precision.
  precision = "0s"

  ## Log at debug level.
  # debug = false
  ## Log only error level messages.
  # quiet = false

  ## Log format controls the way messages are logged and can be one of "text",
  ## "structured" or, on Windows, "eventlog".
  # logformat = "text"

  ## Message key for structured logs, to override the default of "msg".
  ## Ignored if `logformat` is not "structured".
  # structured_log_message_key = "message"

  ## Name of the file to be logged to or stderr if unset or empty. This
  ## setting is ignored for the "eventlog" format.
  # logfile = ""

  ## The logfile will be rotated after the time interval specified.  When set
  ## to 0 no time based rotation is performed.  Logs are rotated only when
  ## written to, if there is no log activity rotation may be delayed.
  # logfile_rotation_interval = "0h"

  ## The logfile will be rotated when it becomes larger than the specified
  ## size.  When set to 0 no size based rotation is performed.
  # logfile_rotation_max_size = "0MB"

  ## Maximum number of rotated archives to keep, any older logs are deleted.
  ## If set to -1, no archives are removed.
  # logfile_rotation_max_archives = 5

  ## Pick a timezone to use when logging or type 'local' for local time.
  ## Example: America/Chicago
  # log_with_timezone = ""

  ## Override default hostname, if empty use os.Hostname()
  # hostname = ""
  ## If set to true, do no set the "host" tag in the telegraf agent.
  # omit_hostname = false

  ## Method of translating SNMP objects. Can be "netsnmp" (deprecated) which
  ## translates by calling external programs snmptranslate and snmptable,
  ## or "gosmi" which translates using the built-in gosmi library.
  # snmp_translator = "netsnmp"

  ## Name of the file to load the state of plugins from and store the state to.
  ## If uncommented and not empty, this file will be used to save the state of
  ## stateful plugins on termination of Telegraf. If the file exists on start,
  ## the state in the file will be restored for the plugins.
  # statefile = ""

  ## Flag to skip running processors after aggregators
  ## By default, processors are run a second time after aggregators. Changing
  ## this setting to true will skip the second run of processors.
  # skip_processors_after_aggregators = false

###############################################################################
#                            SECRETSTORE PLUGINS                              #
###############################################################################


# # Secret-store to access Docker Secrets
# [[secretstores.docker]]
#   ## Unique identifier for the secretstore.
#   ## This id can later be used in plugins to reference the secrets
#   ## in this secret-store via @{<id>:<secret_key>} (mandatory)
#   id = "docker_secretstore"
#
#   ## Default Path to directory where docker stores the secrets file
#   ## Current implementation in docker compose v2 only allows the following
#   ## value for the path where the secrets are mounted at runtime
#   # path = "/run/secrets"
#
#   ## Allow dynamic secrets that are updated during runtime of telegraf
#   ## Dynamic Secrets work only with `file` or `external` configuration
#   ## in `secrets` section of the `docker-compose.yml` file
#   # dynamic = false


# ## Fetch tokens from Google Cloud Authentication
# [[secretstores.googlecloud]]
#   ## Unique identifier for the secret-store.
#   ## This id can later be used in plugins to reference the secrets
#   ## in this secret-store via @{<id>:token}(mandatory)
#   id = "googlecloud_secret"
#
#   ## Path to the service account credentials file
#   credentials_file = "./testdata/gdch.json"
#
#   ## Audience sent to when retrieving an STS token.
#   ## Currently only used for GDCH auth flow
#   sts_audience = "https://{AUDIENCE_URL}"


# # Read secrets from a HTTP endpoint
# [[secretstores.http]]
#   ## Unique identifier for the secret-store.
#   ## This id can later be used in plugins to reference the secrets
#   ## in this secret-store via @{<id>:<secret_key>} (mandatory)
#   id = "secretstore"
#
#   ## URLs from which to read the secrets
#   url = "http://localhost/secrets"
#
#   ## Optional HTTP headers
#   # headers = {"X-Special-Header" = "Special-Value"}
#
#   ## Optional Token for Bearer Authentication via
#   ## "Authorization: Bearer <token>" header
#   # token = "your-token"
#
#   ## Optional Credentials for HTTP Basic Authentication
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Amount of time allowed to complete the HTTP request
#   # timeout = "5s"
#
#   ## HTTP connection settings
#   # idle_conn_timeout = "0s"
#   # max_idle_conn = 0
#   # max_idle_conn_per_host = 0
#   # response_timeout = "0s"
#
#   ## Optional proxy settings
#   # use_system_proxy = false
#   # http_proxy_url = ""
#
#   ## Optional TLS settings
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable =
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Password for the key file if it is encrypted
#   # tls_key_pwd = ""
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Minimal TLS version to accept by the client
#   # tls_min_version = "TLS12"
#   ## List of ciphers to accept, by default all secure ciphers will be accepted
#   ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
#   ## Use "all", "secure" and "insecure" to add all support ciphers, secure
#   ## suites or insecure suites respectively.
#   # tls_cipher_suites = ["secure"]
#   ## Renegotiation method, "never", "once" or "freely"
#   # tls_renegotiation_method = "never"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## OAuth2 Client Credentials. The options 'client_id', 'client_secret', and 'token_url' are required to use OAuth2.
#   # client_id = "clientid"
#   # client_secret = "secret"
#   # token_url = "https://indentityprovider/oauth2/v1/token"
#   # audience = ""
#   # scopes = ["urn:opc:idm:__myscopes__"]
#
#   ## Optional Cookie authentication
#   # cookie_auth_url = "https://localhost/authMe"
#   # cookie_auth_method = "POST"
#   # cookie_auth_username = "username"
#   # cookie_auth_password = "pa$$word"
#   # cookie_auth_headers = { Content-Type = "application/json", X-MY-HEADER = "hello" }
#   # cookie_auth_body = '{"username": "user", "password": "pa$$word", "authenticate": "me"}'
#   ## cookie_auth_renewal not set or set to "0" will auth once and never renew the cookie
#   # cookie_auth_renewal = "0s"
#
#   ## List of success status codes
#   # success_status_codes = [200]
#
#   ## JSONata expression to transform the server response into a
#   ##   { "secret name": "secret value", ... }
#   ## form. See https://jsonata.org for more information and a playground.
#   # transformation = ''
#
#   ## Cipher used to decrypt the secrets.
#   ## In case your secrets are transmitted in an encrypted form, you need
#   ## to specify the cipher used and provide the corresponding configuration.
#   ## Please refer to https://github.com/influxdata/telegraf/blob/master/plugins/secretstores/http/README.md
#   ## for supported values.
#   # cipher = "none"
#
#   ## AES cipher parameters
#   # [secretstores.http.aes]
#   #   ## Key (hex-encoded) and initialization-vector (IV) for the decryption.
#   #   ## In case the key (and IV) is derived from a password, the values can
#   #   ## be omitted.
#   #   key = ""
#   #   init_vector = ""
#   #
#   #   ## Parameters for password-based-key derivation.
#   #   ## These parameters must match the encryption side to derive the same
#   #   ## key on both sides!
#   #   # kdf_algorithm = "PBKDF2-HMAC-SHA256"
#   #   # password = ""
#   #   # salt = ""
#   #   # iterations = 0


# # File based Javascript Object Signing and Encryption based secret-store
# [[secretstores.jose]]
#   ## Unique identifier for the secret-store.
#   ## This id can later be used in plugins to reference the secrets
#   ## in this secret-store via @{<id>:<secret_key>} (mandatory)
#   id = "secretstore"
#
#   ## Directory for storing the secrets
#   path = "/etc/telegraf/secrets"
#
#   ## Password to access the secrets.
#   ## If no password is specified here, Telegraf will prompt for it at startup time.
#   # password = ""


# # Secret-store to retrieve and maintain tokens from various OAuth2 services
# [[secretstores.oauth2]]
#   ## Unique identifier for the secret-store.
#   ## This id can later be used in plugins to reference the secrets
#   ## in this secret-store via @{<id>:<secret_key>} (mandatory)
#   id = "secretstore"
#
#   ## Service to retrieve the token(s) from
#   ## Currently supported services are "custom", "auth0" and "AzureAD"
#   # service = "custom"
#
#   ## Setting to overwrite the queried token-endpoint
#   ## This setting is optional for some services but mandatory for others such
#   ## as "custom" or "auth0". Please check the documentation at
#   ## https://github.com/influxdata/telegraf/blob/master/plugins/secretstores/oauth2/README.md
#   # token_endpoint = ""
#
#   ## Tenant ID for the AzureAD service
#   # tenant_id = ""
#
#   ## Minimal remaining time until the token expires
#   ## If a token expires less than the set duration in the future, the token is
#   ## renewed. This is useful to avoid race-condition issues where a token is
#   ## still valid, but isn't when the request reaches the API endpoint of
#   ## your service using the token.
#   # token_expiry_margin = "1s"
#
#   ## Section for defining a token secret
#   [[secretstores.oauth2.token]]
#     ## Unique secret-key used for referencing the token via @{<id>:<secret_key>}
#     key = ""
#     ## Client-ID and secret for the 2-legged OAuth flow
#     client_id = ""
#     client_secret = ""
#     ## Scopes to send in the request
#     # scopes = []
#
#     ## Additional (optional) parameters to include in the token request
#     ## This might for example include the "audience" parameter required for
#     ## auth0.
#     # [secretstores.oauth2.token.parameters]
#     #     audience = ""


# # Operating System native secret-store
# [[secretstores.os]]
#   ## Unique identifier for the secret-store.
#   ## This id can later be used in plugins to reference the secrets
#   ## in this secret-store via @{<id>:<secret_key>} (mandatory)
#   id = "secretstore"
#
#   ## Keyring Name & Collection
#   ## * Linux: keyring name used for the secrets, collection is unused
#   ## * macOS: keyring specifies the macOS' Keychain name and collection is an
#   ##     optional Keychain service name
#   ## * Windows: keys follow a fixed pattern in the form
#   ##     `<collection>:<keyring>:<key_name>`. Please keep this in mind when
#   ##     creating secrets with the Windows credential tool.
#   # keyring = "telegraf"
#   # collection = ""
#
#   ## macOS Keychain password
#   ## If no password is specified here, Telegraf will prompt for it at startup
#   ## time.
#   # password = ""
#
#   ## Allow dynamic secrets that are updated during runtime of telegraf
#   # dynamic = false


# # Secret-store to access systemd secrets
# [[secretstores.systemd]]
#   ## Unique identifier for the secretstore.
#   ## This id can later be used in plugins to reference the secrets
#   ## in this secret-store via @{<id>:<secret_key>} (mandatory)
#   id = "systemd"
#
#   ## Path to systemd credentials directory
#   ## This should not be required as systemd indicates this directory
#   ## via the CREDENTIALS_DIRECTORY environment variable.
#   # path = "${CREDENTIALS_DIRECTORY}"
#
#   ## Prefix to remove from systemd credential-filenames to derive secret names
#   # prefix = "telegraf."
#


# # Secret-store to access Vault Secrets
# [[secretstores.vault]]
#   ## Unique identifier for the secretstore.
#   ## This id can later be used in plugins to reference the secrets
#   ## in this secret-store via @{<id>:<secret_key>} (mandatory)
#   id = "vault_secretstore"
#
#   ## Address of the Vault server
#   address = "localhost:8200"
#
#   ## Mount path of the KV secrets engine.
#   ## This is the path where the KV secrets engine is enabled. For example, if
#   ## your full secret path in the Vault CLI is "secret/data/myapp/database",
#   ## then mount_path = "secret".
#   mount_path = ""
#
#   ## Path to the secret within the KV secrets engine.
#   ## This is the path to your specific secret under the mount point. For example,
#   ## if your full secret path is "secret/data/myapp/database", then
#   ## secret_path = "myapp/database". Note that the "/data/" segment in KV v2
#   ## paths is handled automatically and should not be included.
#   secret_path = ""
#
#   ## Secret store engine to use.
#   ## Supports 'kv-v1' and 'kv-v2' engines.
#   ## By default will use the kv-v2 engine.
#   # engine = "kv-v2"
#
#   [secretstores.vault.approle]
#     ## The Role ID for AppRole Authentication, a UUID string
#     role_id = ""
#
#     ## Whether the Secret ID is configured to be response wrapped or not
#     # response_wrapped = false
#
#     ## The Secret ID for AppRole Authentication
#     secret = ""


###############################################################################
#                            OUTPUT PLUGINS                                   #
###############################################################################


# # Configuration for sending metrics to InfluxDB 2.0
# [[outputs.influxdb_v2]]
#   ## The URLs of the InfluxDB cluster nodes.
#   ##
#   ## Multiple URLs can be specified for a single cluster, only ONE of the
#   ## urls will be written to each interval.
#   ##   ex: urls = ["https://us-west-2-1.aws.cloud2.influxdata.com"]
#   urls = ["http://127.0.0.1:8086"]
#
#   ## Local address to bind when connecting to the server
#   ## If empty or not set, the local address is automatically chosen.
#   # local_address = ""
#
#   ## Token for authentication.
#   token = ""
#
#   ## Organization is the name of the organization you wish to write to.
#   organization = ""
#
#   ## Destination bucket to write into.
#   bucket = ""
#
#   ## The value of this tag will be used to determine the bucket.  If this
#   ## tag is not set the 'bucket' option is used as the default.
#   # bucket_tag = ""
#
#   ## If true, the bucket tag will not be added to the metric.
#   # exclude_bucket_tag = false
#
#   ## Timeout for HTTP messages.
#   # timeout = "5s"
#
#   ## Additional HTTP headers
#   # http_headers = {"X-Special-Header" = "Special-Value"}
#
#   ## HTTP Proxy override, if unset values the standard proxy environment
#   ## variables are consulted to determine which proxy, if any, should be used.
#   # http_proxy = "http://corporate.proxy:3128"
#
#   ## HTTP User-Agent
#   # user_agent = "telegraf"
#
#   ## Content-Encoding for write request body, can be set to "gzip" to
#   ## compress body or "identity" to apply no encoding.
#   # content_encoding = "gzip"
#
#   ## Enable or disable uint support for writing uints influxdb 2.0.
#   # influx_uint_support = false
#
#   ## When true, Telegraf will omit the timestamp on data to allow InfluxDB
#   ## to set the timestamp of the data during ingestion. This is generally NOT
#   ## what you want as it can lead to data points captured at different times
#   ## getting omitted due to similar data.
#   # influx_omit_timestamp = false
#
#   ## HTTP/2 Timeouts
#   ## The following values control the HTTP/2 client's timeouts. These settings
#   ## are generally not required unless a user is seeing issues with client
#   ## disconnects. If a user does see issues, then it is suggested to set these
#   ## values to "15s" for ping timeout and "30s" for read idle timeout and
#   ## retry.
#   ##
#   ## Note that the timer for read_idle_timeout begins at the end of the last
#   ## successful write and not at the beginning of the next write.
#   # ping_timeout = "0s"
#   # read_idle_timeout = "0s"
#
#   ## Optional TLS Config for use on HTTP connections.
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Rate limits for sending data (disabled by default)
#   ## Available, uncompressed payload size e.g. "5MB"
#   # rate_limit = "unlimited"
#   ## Fixed time-window for the available payload size e.g. "5m"
#   # rate_limit_period = "0s"
#
#   ## Number of concurrent writes to the output
#   ## When set to one sequential sending is used (default).
#   ## NOTE: When using two or more concurrent writes the sending order of
#   ##       metrics is not guaranteed!
#   # concurrent_writes = 1


# ## DEPRECATED: The "amon" plugin is deprecated in version 1.37.0 and will be removed in 1.40.0, service doesn't exist anymore and platform code is unmaintained.
# # Configuration for Amon Server to send metrics to.
# [[outputs.amon]]
#   ## Amon Server Key
#   server_key = "my-server-key" # required.
#
#   ## Amon Instance URL
#   amon_instance = "https://youramoninstance" # required
#
#   ## Connection timeout.
#   # timeout = "5s"


# # Publishes metrics to an AMQP broker
# [[outputs.amqp]]
#   ## Brokers to publish to.  If multiple brokers are specified a random broker
#   ## will be selected anytime a connection is established.  This can be
#   ## helpful for load balancing when not using a dedicated load balancer.
#   brokers = ["amqp://localhost:5672/influxdb"]
#
#   ## Maximum messages to send over a connection.  Once this is reached, the
#   ## connection is closed and a new connection is made.  This can be helpful for
#   ## load balancing when not using a dedicated load balancer.
#   # max_messages = 0
#
#   ## Exchange to declare and publish to.
#   exchange = "telegraf"
#
#   ## Exchange type; common types are "direct", "fanout", "topic", "header", "x-consistent-hash".
#   # exchange_type = "topic"
#
#   ## If true, exchange will be passively declared.
#   # exchange_passive = false
#
#   ## Exchange durability can be either "transient" or "durable".
#   # exchange_durability = "durable"
#
#   ## Additional exchange arguments.
#   # exchange_arguments = { }
#   # exchange_arguments = {"hash_property" = "timestamp"}
#
#   ## Authentication credentials for the PLAIN auth_method.
#   # username = ""
#   # password = ""
#
#   ## Auth method. PLAIN and EXTERNAL are supported
#   ## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as
#   ## described here: https://www.rabbitmq.com/plugins.html
#   # auth_method = "PLAIN"
#
#   ## Metric tag to use as a routing key.
#   ##   ie, if this tag exists, its value will be used as the routing key
#   # routing_tag = "host"
#
#   ## Static routing key.  Used when no routing_tag is set or as a fallback
#   ## when the tag specified in routing tag is not found.
#   # routing_key = ""
#   # routing_key = "telegraf"
#
#   ## Delivery Mode controls if a published message is persistent.
#   ##   One of "transient" or "persistent".
#   # delivery_mode = "transient"
#
#   ## Static headers added to each published message.
#   # headers = { }
#   # headers = {"database" = "telegraf", "retention_policy" = "default"}
#
#   ## Connection timeout.  If not provided, will default to 5s.  0s means no
#   ## timeout (not recommended).
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Optional Proxy Configuration
#   # use_proxy = false
#   # proxy_url = "localhost:8888"
#
#   ## If true use batch serialization format instead of line based delimiting.
#   ## Only applies to data formats which are not line based such as JSON.
#   ## Recommended to set to true.
#   # use_batch_format = false
#
#   ## Content encoding for message payloads, can be set to "gzip" to or
#   ## "identity" to apply no encoding.
#   ##
#   ## Please note that when use_batch_format = false each amqp message contains only
#   ## a single metric, it is recommended to use compression with batch format
#   ## for best results.
#   # content_encoding = "identity"
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = "influx"


# # Send metrics to Azure Application Insights
# [[outputs.application_insights]]
#   ## Instrumentation key of the Application Insights resource.
#   instrumentation_key = "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxx"
#
#   ## Regions that require endpoint modification https://docs.microsoft.com/en-us/azure/azure-monitor/app/custom-endpoints
#   # endpoint_url = "https://dc.services.visualstudio.com/v2/track"
#
#   ## Timeout for closing (default: 5s).
#   # timeout = "5s"
#
#   ## Enable additional diagnostic logging.
#   # enable_diagnostic_logging = false
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   ## Context Tag Sources add Application Insights context tags to a tag value.
#   ##
#   ## For list of allowed context tag keys see:
#   ## https://github.com/microsoft/ApplicationInsights-Go/blob/master/appinsights/contracts/contexttagkeys.go
#   # [outputs.application_insights.context_tag_sources]
#   #   "ai.cloud.role" = "kubernetes_container_name"
#   #   "ai.cloud.roleInstance" = "kubernetes_pod_name"


# # Arc Time-Series Database Output Plugin
# [[outputs.arc]]
#   ## Arc MessagePack API URL
#   url = "http://localhost:8000/api/v1/write/msgpack"
#
#   ## API Key for authentication (required, auth is enabled by default)
#   api_key = ""
#
#   ## Database name for multi-database architecture
#   ## Defaults to the server configured DB if not specified or empty
#   # database = ""
#
#   ## Content encoding for request body
#   ## Options: "gzip" (default), "identity"
#   # content_encoding = "gzip"
#
#   ## Timeout for HTTP writes
#   # timeout = "5s"
#
#   ## Additional HTTP headers
#   # [outputs.arc.headers]
#   #   X-Custom-Header = "custom-value"


# # Sends metrics to Azure Data Explorer
# [[outputs.azure_data_explorer]]
#   ## The URI property of the Azure Data Explorer resource on Azure
#   ## ex: endpoint_url = https://myadxresource.australiasoutheast.kusto.windows.net
#   endpoint_url = ""
#
#   ## The Azure Data Explorer database that the metrics will be ingested into.
#   ## The plugin will NOT generate this database automatically, it's expected that this database already exists before ingestion.
#   ## ex: "exampledatabase"
#   database = ""
#
#   ## Timeout for Azure Data Explorer operations
#   # timeout = "20s"
#
#   ## Type of metrics grouping used when pushing to Azure Data Explorer.
#   ## Default is "TablePerMetric" for one table per different metric.
#   ## For more information, please check the plugin README.
#   # metrics_grouping_type = "TablePerMetric"
#
#   ## Name of the single table to store all the metrics (Only needed if metrics_grouping_type is "SingleTable").
#   # table_name = ""
#
#   ## Creates tables and relevant mapping if set to true(default).
#   ## Skips table and mapping creation if set to false, this is useful for running Telegraf with the lowest possible permissions (table ingestor role).
#   # create_tables = true
#
#   ##  Ingestion method to use.
#   ##  Available options are
#   ##    - managed  --  streaming ingestion with fallback to batched ingestion or the "queued" method below
#   ##    - queued   --  queue up metrics data and process sequentially
#   # ingestion_type = "queued"


# # Send aggregate metrics to Azure Monitor
# [[outputs.azure_monitor]]
#   ## Timeout for HTTP writes.
#   # timeout = "20s"
#
#   ## Set the namespace prefix, defaults to "Telegraf/<input-name>".
#   # namespace_prefix = "Telegraf/"
#
#   ## Azure Monitor doesn't have a string value type, so convert string
#   ## fields to dimensions (a.k.a. tags) if enabled. Azure Monitor allows
#   ## a maximum of 10 dimensions so Telegraf will only send the first 10
#   ## alphanumeric dimensions.
#   # strings_as_dimensions = false
#
#   ## Both region and resource_id must be set or be available via the
#   ## Instance Metadata service on Azure Virtual Machines.
#   #
#   ## Azure Region to publish metrics against.
#   ##   ex: region = "southcentralus"
#   # region = ""
#   #
#   ## The Azure Resource ID against which metric will be logged, e.g.
#   ##   ex: resource_id = "/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.Compute/virtualMachines/<vm_name>"
#   # resource_id = ""
#
#   ## Optionally, if in Azure US Government, China, or other sovereign
#   ## cloud environment, set the appropriate REST endpoint for receiving
#   ## metrics. (Note: region may be unused in this context)
#   # endpoint_url = "https://monitoring.core.usgovcloudapi.net"
#
#   ## Time limitations of metric to send
#   ## Documentation can be found here:
#   ##   https://learn.microsoft.com/en-us/azure/azure-monitor/essentials/metrics-store-custom-rest-api?tabs=rest#timestamp
#   ## However, the returned (400) error message might document more strict or
#   ## relaxed settings. By default, only past metrics witin the limit are sent.
#   # timestamp_limit_past = "30m"


# # Configuration for Google Cloud BigQuery to send entries
# [[outputs.bigquery]]
#   ## Credentials File
#   credentials_file = "/path/to/service/account/key.json"
#
#   ## Google Cloud Platform Project
#   # project = ""
#
#   ## The namespace for the metric descriptor
#   dataset = "telegraf"
#
#   ## Timeout for BigQuery operations.
#   # timeout = "5s"
#
#   ## Character to replace hyphens on Metric name
#   # replace_hyphen_to = "_"
#
#   ## Write all metrics in a single compact table
#   # compact_table = ""


# ## Configuration to publish Telegraf metrics to Clarify
# [[outputs.clarify]]
#   ## Credentials File (Oauth 2.0 from Clarify integration)
#   credentials_file = "/path/to/clarify/credentials.json"
#
#   ## Clarify username password (Basic Auth from Clarify integration)
#   username = "i-am-bob"
#   password = "secret-password"
#
#   ## Timeout for Clarify operations
#   # timeout = "20s"
#
#   ## Optional tags to be included when generating the unique ID for a signal in Clarify
#   # id_tags = []
#   # clarify_id_tag = 'clarify_input_id'


# # Publish Telegraf metrics to a Google Cloud PubSub topic
# [[outputs.cloud_pubsub]]
#   ## Required. Name of Google Cloud Platform (GCP) Project that owns
#   ## the given PubSub topic.
#   project = "my-project"
#
#   ## Required. Name of PubSub topic to publish metrics to.
#   topic = "my-topic"
#
#   ## Content encoding for message payloads, can be set to "gzip" or
#   ## "identity" to apply no encoding.
#   # content_encoding = "identity"
#
#   ## Required. Data format to consume.
#   ## Each data format has its own unique set of configuration options.
#   ## Read more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"
#
#   ## Optional. Filepath for GCP credentials JSON file to authorize calls to
#   ## PubSub APIs. If not set explicitly, Telegraf will attempt to use
#   ## Application Default Credentials, which is preferred.
#   # credentials_file = "path/to/my/creds.json"
#
#   ## Optional. If true, will send all metrics per write in one PubSub message.
#   # send_batched = true
#
#   ## The following publish_* parameters specifically configures batching
#   ## requests made to the GCP Cloud PubSub API via the PubSub Golang library. Read
#   ## more here: https://godoc.org/cloud.google.com/go/pubsub/v2#PublishSettings
#
#   ## Optional. Send a request to PubSub (actually publish a batch)
#   ## when it has this many PubSub messages. If send_batched is true,
#   ## this is ignored and treated as if it were 1.
#   # publish_count_threshold = 1000
#
#   ## Optional. Send a request to PubSub (actually publish a batch)
#   ## when it has this many PubSub messages. If send_batched is true,
#   ## this is ignored and treated as if it were 1
#   # publish_byte_threshold = 1000000
#
#   ## Optional. Specifically configures requests made to the PubSub API.
#   # publish_num_go_routines = 2
#
#   ## Optional. Specifies a timeout for requests to the PubSub API.
#   # publish_timeout = "30s"
#
#   ## Optional. If true, published PubSub message data will be base64-encoded.
#   # base64_data = false
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   ## Optional. PubSub attributes to add to metrics.
#   # [outputs.cloud_pubsub.attributes]
#   #   my_attr = "tag_value"


# # Configuration for AWS CloudWatch output.
# [[outputs.cloudwatch]]
#   ## Amazon REGION
#   region = "us-east-1"
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Web identity provider credentials via STS if role_arn and
#   ##    web_identity_token_file are specified
#   ## 2) Assumed credentials via STS if role_arn is specified
#   ## 3) explicit credentials from 'access_key' and 'secret_key'
#   ## 4) shared profile from 'profile'
#   ## 5) environment variables
#   ## 6) shared credentials file
#   ## 7) EC2 Instance Profile
#   #access_key = ""
#   #secret_key = ""
#   #token = ""
#   #role_arn = ""
#   #web_identity_token_file = ""
#   #role_session_name = ""
#   #profile = ""
#   #shared_credential_file = ""
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = "http://localhost:8000"
#   # endpoint_url = ""
#
#   ## Set http_proxy
#   # use_system_proxy = false
#   # http_proxy_url = "http://localhost:8888"
#
#   ## Namespace for the CloudWatch MetricDatums
#   namespace = "InfluxData/Telegraf"
#
#   ## If you have a large amount of metrics, you should consider to send
#   ## statistic values instead of raw metrics which could not only improve
#   ## performance but also save AWS API cost. If enable this flag, this plugin
#   ## would parse the required CloudWatch statistic fields (count, min, max, and
#   ## sum) and send them to CloudWatch. You could use basicstats aggregator to
#   ## calculate those fields. If not all statistic fields are available, all
#   ## fields would still be sent as raw metrics.
#   # write_statistics = false
#
#   ## Enable high resolution metrics of 1 second (if not enabled, standard
#   ## resolution are of 60 seconds precision)
#   # high_resolution_metrics = false


# # Configuration for AWS CloudWatchLogs output.
# [[outputs.cloudwatch_logs]]
#   ## The region is the Amazon region that you wish to connect to.
#   ## Examples include but are not limited to:
#   ## - us-west-1
#   ## - us-west-2
#   ## - us-east-1
#   ## - ap-southeast-1
#   ## - ap-southeast-2
#   ## ...
#   region = "us-east-1"
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Web identity provider credentials via STS if role_arn and
#   ##    web_identity_token_file are specified
#   ## 2) Assumed credentials via STS if role_arn is specified
#   ## 3) explicit credentials from 'access_key' and 'secret_key'
#   ## 4) shared profile from 'profile'
#   ## 5) environment variables
#   ## 6) shared credentials file
#   ## 7) EC2 Instance Profile
#   #access_key = ""
#   #secret_key = ""
#   #token = ""
#   #role_arn = ""
#   #web_identity_token_file = ""
#   #role_session_name = ""
#   #profile = ""
#   #shared_credential_file = ""
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default, e.g endpoint_url = "http://localhost:8000"
#   # endpoint_url = ""
#
#   ## Cloud watch log group. Must be created in AWS cloudwatch logs upfront!
#   ## For example, you can specify the name of the k8s cluster here to group logs
#   ## from all cluster in oine place
#   log_group = "my-group-name"
#
#   ## Log stream in log group
#   ## Either log group name or reference to metric attribute, from which it can
#   ## be parsed, tag:<TAG_NAME> or field:<FIELD_NAME>. If the log stream is not
#   ## exist, it will be created. Since AWS is not automatically delete logs
#   ## streams with expired logs entries (empty log streams), you need to put
#   ## in place appropriate house-keeping (https://forums.aws.amazon.com/thread.jspa?threadID=178855)
#   log_stream = "tag:location"
#
#   ## Source of log data - metric name
#   ## specify the name of the metric, from which the log data should be
#   ## retrieved. I.e., if you are using docker_log plugin to stream logs from
#   ## container, then specify log_data_metric_name = "docker_log"
#   log_data_metric_name  = "docker_log"
#
#   ## Specify from which metric attribute the log data should be retrieved:
#   ## tag:<TAG_NAME> or field:<FIELD_NAME>.
#   ## I.e., if you are using docker_log plugin to stream logs from container,
#   ## then specify log_data_source = "field:message"
#   log_data_source  = "field:message"


# # Configuration for CrateDB to send metrics to.
# [[outputs.cratedb]]
#   ## Connection parameters for accessing the database see
#   ##   https://pkg.go.dev/github.com/jackc/pgx/v4#ParseConfig
#   ## for available options
#   url = "postgres://user:password@localhost/schema?sslmode=disable"
#
#   ## Timeout for all CrateDB queries.
#   # timeout = "5s"
#
#   ## Name of the table to store metrics in.
#   # table = "metrics"
#
#   ## If true, and the metrics table does not exist, create it automatically.
#   # table_create = false
#
#   ## The character(s) to replace any '.' in an object key with
#   # key_separator = "_"


# # Configuration for DataDog API to send metrics to.
# [[outputs.datadog]]
#   ## Datadog API key
#   apikey = "my-secret-key"
#
#   ## Connection timeout.
#   # timeout = "5s"
#
#   ## Write URL override; useful for debugging.
#   ## This plugin only supports the v1 API currently due to the authentication
#   ## method used.
#   # url = "https://app.datadoghq.com/api/v1/series"
#
#   ## Set http_proxy
#   # use_system_proxy = false
#   # http_proxy_url = "http://localhost:8888"
#
#   ## Override the default (none) compression used to send data.
#   ## Supports: "zlib", "none"
#   # compression = "none"
#
#   ## When non-zero, converts count metrics submitted by inputs.statsd
#   ## into rate, while dividing the metric value by this number.
#   ## Note that in order for metrics to be submitted simultaenously alongside
#   ## a Datadog agent, rate_interval has to match the interval used by the
#   ## agent - which defaults to 10s
#   # rate_interval = 0s


# # Send metrics to nowhere at all
# [[outputs.discard]]
#   # no configuration


# # Send telegraf metrics to a Dynatrace environment
# [[outputs.dynatrace]]
#   ## For usage with the Dynatrace OneAgent you can omit any configuration,
#   ## the only requirement is that the OneAgent is running on the same host.
#   ## Only setup environment url and token if you want to monitor a Host without the OneAgent present.
#   ##
#   ## Your Dynatrace environment URL.
#   ## For Dynatrace OneAgent you can leave this empty or set it to "http://127.0.0.1:14499/metrics/ingest" (default)
#   ## For Dynatrace SaaS environments the URL scheme is "https://{your-environment-id}.live.dynatrace.com/api/v2/metrics/ingest"
#   ## For Dynatrace Managed environments the URL scheme is "https://{your-domain}/e/{your-environment-id}/api/v2/metrics/ingest"
#   url = ""
#
#   ## Your Dynatrace API token.
#   ## Create an API token within your Dynatrace environment, by navigating to Settings > Integration > Dynatrace API
#   ## The API token needs data ingest scope permission. When using OneAgent, no API token is required.
#   api_token = ""
#
#   ## Optional prefix for metric names (e.g.: "telegraf")
#   prefix = "telegraf"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Optional flag for ignoring tls certificate check
#   # insecure_skip_verify = false
#
#   ## Connection timeout, defaults to "5s" if not set.
#   timeout = "5s"
#
#   ## If you want metrics to be treated and reported as delta counters, add the metric names here
#   additional_counters = [ ]
#
#   ## In addition or as an alternative to additional_counters, if you want metrics to be treated and
#   ## reported as delta counters using regular expression pattern matching
#   additional_counters_patterns = [ ]
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   ## Optional dimensions to be added to every metric
#   # [outputs.dynatrace.default_dimensions]
#   # default_key = "default value"


# # Configuration for Elasticsearch to send metrics to.
# [[outputs.elasticsearch]]
#   ## The full HTTP endpoint URL for your Elasticsearch instance
#   ## Multiple urls can be specified as part of the same cluster,
#   ## this means that only ONE of the urls will be written to each interval
#   urls = [ "http://node1.es.example.com:9200" ] # required.
#   ## Elasticsearch client timeout, defaults to "5s" if not set.
#   timeout = "5s"
#   ## Set to true to ask Elasticsearch a list of all cluster nodes,
#   ## thus it is not necessary to list all nodes in the urls config option
#   enable_sniffer = false
#   ## Set to true to enable gzip compression
#   enable_gzip = false
#   ## Set the interval to check if the Elasticsearch nodes are available
#   ## Setting to "0s" will disable the health check (not recommended in production)
#   health_check_interval = "10s"
#   ## Set the timeout for periodic health checks.
#   # health_check_timeout = "1s"
#   ## HTTP basic authentication details.
#   ## HTTP basic authentication details
#   # username = "telegraf"
#   # password = "mypassword"
#   ## HTTP bearer token authentication details
#   # auth_bearer_token = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9"
#
#   ## Index Config
#   ## The target index for metrics (Elasticsearch will create if it not exists).
#   ## You can use the date specifiers below to create indexes per time frame.
#   ## The metric timestamp will be used to decide the destination index name
#   # %Y - year (2016)
#   # %y - last two digits of year (00..99)
#   # %m - month (01..12)
#   # %d - day of month (e.g., 01)
#   # %H - hour (00..23)
#   # %V - week of the year (ISO week) (01..53)
#   ## Additionally, you can specify a tag name using the notation {{tag_name}}
#   ## which will be used as part of the index name. If the tag does not exist,
#   ## the default tag value will be used.
#   # index_name = "telegraf-{{host}}-%Y.%m.%d"
#   # default_tag_value = "none"
#   index_name = "telegraf-%Y.%m.%d" # required.
#
#   ## Optional Index Config
#   ## Set to true if Telegraf should use the "create" OpType while indexing
#   # use_optype_create = false
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Template Config
#   ## Set to true if you want telegraf to manage its index template.
#   ## If enabled it will create a recommended index template for telegraf indexes
#   manage_template = true
#   ## The template name used for telegraf indexes
#   template_name = "telegraf"
#   ## Set to true if you want telegraf to overwrite an existing template
#   overwrite_template = false
#   ## If set to true a unique ID hash will be sent as sha256(concat(timestamp,measurement,series-hash)) string
#   ## it will enable data resend and update metric points avoiding duplicated metrics with different id's
#   force_document_id = false
#
#   ## Specifies the handling of NaN and Inf values.
#   ## This option can have the following values:
#   ##    none    -- do not modify field-values (default); will produce an error if NaNs or infs are encountered
#   ##    drop    -- drop fields containing NaNs or infs
#   ##    replace -- replace with the value in "float_replacement_value" (default: 0.0)
#   ##               NaNs and inf will be replaced with the given number, -inf with the negative of that number
#   # float_handling = "none"
#   # float_replacement_value = 0.0
#
#   ## Pipeline Config
#   ## To use a ingest pipeline, set this to the name of the pipeline you want to use.
#   # use_pipeline = "my_pipeline"
#   ## Additionally, you can specify a tag name using the notation {{tag_name}}
#   ## which will be used as part of the pipeline name. If the tag does not exist,
#   ## the default pipeline will be used as the pipeline. If no default pipeline is set,
#   ## no pipeline is used for the metric.
#   # use_pipeline = "{{es_pipeline}}"
#   # default_pipeline = "my_pipeline"
#   #
#   ## Custom HTTP Headers
#   ## To pass custom HTTP headers please define it in a given below section
#   # [outputs.elasticsearch.headers]
#   #    "X-Custom-Header" = ["custom-value1", "custom-value2"]
#
#   ## Template Index Settings
#   ## Overrides the template settings.index section with any provided options.
#   ## Defaults provided here in the config
#   # template_index_settings = {
#   #   refresh_interval = "10s",
#   #   mapping.total_fields.limit = 5000,
#   #   auto_expand_replicas = "0-1",
#   #   codec = "best_compression"
#   # }


# # Configuration for Event Hubs output plugin
# [[outputs.event_hubs]]
#   ## Full connection string to the Event Hub instance. The shared access key
#   ## must have "Send" permissions on the target Event Hub.
#   connection_string = "Endpoint=sb://namespace.servicebus.windows.net/;SharedAccessKeyName=RootManageSharedAccessKey;SharedAccessKey=superSecret1234=;EntityPath=hubName"
#
#   ## Partition key to use for the event
#   ## Metric tag or field name to use for the event partition key. The value of
#   ## this tag or field is set as the key for events if it exists. If both, tag
#   ## and field, exist the tag is preferred.
#   # partition_key = ""
#
#   ## Set the maximum batch message size in bytes
#   ## The allowable size depends on the Event Hub tier, see
#   ##   https://learn.microsoft.com/azure/event-hubs/event-hubs-quotas#basic-vs-standard-vs-premium-vs-dedicated-tiers
#   ## for details. If unset the default size defined by Azure Event Hubs is
#   ## used (currently 1,000,000 bytes)
#   # max_message_size = "1MB"
#
#   ## Timeout for sending the data
#   # timeout = "30s"
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = "json"


# # Send metrics to command as input over stdin
# [[outputs.exec]]
#   ## Command to ingest metrics via stdin.
#   command = ["tee", "-a", "/dev/null"]
#
#   ## Environment variables
#   ## Array of "key=value" pairs to pass as environment variables
#   ## e.g. "KEY=value", "USERNAME=John Doe",
#   ## "LD_LIBRARY_PATH=/opt/custom/lib64:/usr/local/libs"
#   # environment = []
#
#   ## Timeout for command to complete.
#   # timeout = "5s"
#
#   ## Whether the command gets executed once per metric, or once per metric batch
#   ## The serializer will also run in batch mode when this is true.
#   # use_batch_format = true
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = "influx"


# # Run executable as long-running output plugin
# [[outputs.execd]]
#   ## One program to run as daemon.
#   ## NOTE: process and each argument should each be their own string
#   command = ["my-telegraf-output", "--some-flag", "value"]
#
#   ## Environment variables
#   ## Array of "key=value" pairs to pass as environment variables
#   ## e.g. "KEY=value", "USERNAME=John Doe",
#   ## "LD_LIBRARY_PATH=/opt/custom/lib64:/usr/local/libs"
#   # environment = []
#
#   ## Delay before the process is restarted after an unexpected termination
#   restart_delay = "10s"
#
#   ## Flag to determine whether execd should throw error when part of metrics is unserializable
#   ## Setting this to true will skip the unserializable metrics and process the rest of metrics
#   ## Setting this to false will throw error when encountering unserializable metrics and none will be processed
#   ## This setting does not apply when use_batch_format is set.
#   # ignore_serialization_error = false
#
#   ## Use batch serialization instead of per metric. The batch format allows for the
#   ## production of batch output formats and may more efficiently encode and write metrics.
#   # use_batch_format = false
#
#   ## Data format to export.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = "influx"


# # Send telegraf metrics to file(s)
# [[outputs.file]]
#   ## Files to write to, "stdout" is a specially handled file.
#   files = ["stdout", "/tmp/metrics.out"]
#
#   ## Use batch serialization format instead of line based delimiting.  The
#   ## batch format allows for the production of non line based output formats and
#   ## may more efficiently encode and write metrics.
#   # use_batch_format = false
#
#   ## The file will be rotated after the time interval specified.  When set
#   ## to 0 no time based rotation is performed.
#   # rotation_interval = "0h"
#
#   ## The logfile will be rotated when it becomes larger than the specified
#   ## size.  When set to 0 no size based rotation is performed.
#   # rotation_max_size = "0MB"
#
#   ## Maximum number of rotated archives to keep, any older logs are deleted.
#   ## If set to -1, no archives are removed.
#   # rotation_max_archives = 5
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = "influx"
#
#   ## Compress output data with the specified algorithm.
#   ## If empty, compression will be disabled and files will be plain text.
#   ## Supported algorithms are "zstd", "gzip" and "zlib".
#   # compression_algorithm = ""
#
#   ## Compression level for the algorithm above.
#   ## Please note that different algorithms support different levels:
#   ##   zstd  -- supports levels 1, 3, 7 and 11.
#   ##   gzip -- supports levels 0, 1 and 9.
#   ##   zlib -- supports levels 0, 1, and 9.
#   ## By default the default compression level for each algorithm is used.
#   # compression_level = -1


# # Configuration for Graphite server to send metrics to
# [[outputs.graphite]]
#   ## TCP endpoint for your graphite instance.
#   ## If multiple endpoints are configured, the output will be load balanced.
#   ## Only one of the endpoints will be written to with each iteration.
#   servers = ["localhost:2003"]
#
#   ## Local address to bind when connecting to the server
#   ## If empty or not set, the local address is automatically chosen.
#   # local_address = ""
#
#   ## Prefix metrics name
#   prefix = ""
#
#   ## Graphite output template
#   ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   template = "host.tags.measurement.field"
#
#   ## Strict sanitization regex
#   ## This is the default sanitization regex that is used on data passed to the
#   ## graphite serializer. Users can add additional characters here if required.
#   ## Be aware that the characters, '/' '@' '*' are always replaced with '_',
#   ## '..' is replaced with '.', and '\' is removed even if added to the
#   ## following regex.
#   # graphite_strict_sanitize_regex = '[^a-zA-Z0-9-:._=\p{L}]'
#
#   ## Enable Graphite tags support
#   # graphite_tag_support = false
#
#   ## Applied sanitization mode when graphite tag support is enabled.
#   ## * strict - uses the regex specified above
#   ## * compatible - allows for greater number of characters
#   # graphite_tag_sanitize_mode = "strict"
#
#   ## Character for separating metric name and field for Graphite tags
#   # graphite_separator = "."
#
#   ## Graphite templates patterns
#   ## 1. Template for cpu
#   ## 2. Template for disk*
#   ## 3. Default template
#   # templates = [
#   #  "cpu tags.measurement.host.field",
#   #  "disk* measurement.field",
#   #  "host.measurement.tags.field"
#   #]
#
#   ## timeout in seconds for the write connection to graphite
#   # timeout = "2s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Send telegraf metrics to graylog
# [[outputs.graylog]]
#   ## Endpoints for your graylog instances.
#   servers = ["udp://127.0.0.1:12201"]
#
#   ## Connection timeout.
#   # timeout = "5s"
#
#   ## The field to use as the GELF short_message, if unset the static string
#   ## "telegraf" will be used.
#   ##   example: short_message_field = "message"
#   # short_message_field = ""
#
#   ## According to GELF payload specification, additional fields names must be prefixed
#   ## with an underscore. Previous versions did not prefix custom field 'name' with underscore.
#   ## Set to true for backward compatibility.
#   # name_field_no_prefix = false
#
#   ## Connection retry options
#   ## Attempt to connect to the endpoints if the initial connection fails.
#   ## If 'false', Telegraf will give up after 3 connection attempt and will
#   ## exit with an error. If set to 'true', the plugin will retry to connect
#   ## to the unconnected endpoints infinitely.
#   # connection_retry = false
#   ## Time to wait between connection retry attempts.
#   # connection_retry_wait_time = "15s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Send telegraf metrics to GroundWork Monitor
# [[outputs.groundwork]]
#   ## URL of your groundwork instance.
#   url = "https://groundwork.example.com"
#
#   ## Agent uuid for GroundWork API Server.
#   agent_id = ""
#
#   ## Username and password to access GroundWork API.
#   username = ""
#   password = ""
#
#   ## Default application type to use in GroundWork client
#   # default_app_type = "TELEGRAF"
#
#   ## Default display name for the host with services(metrics).
#   # default_host = "telegraf"
#
#   ## Default service state.
#   # default_service_state = "SERVICE_OK"
#
#   ## The name of the tag that contains the hostname.
#   # resource_tag = "host"
#
#   ## The name of the tag that contains the host group name.
#   # group_tag = "group"


# # Configurable HTTP health check resource based on metrics
# [[outputs.health]]
#   ## Address and port to listen on.
#   ##   ex: service_address = "http://localhost:8080"
#   ##       service_address = "unix:///var/run/telegraf-health.sock"
#   # service_address = "http://:8080"
#
#   ## The maximum duration for reading the entire request.
#   # read_timeout = "5s"
#   ## The maximum duration for writing the entire response.
#   # write_timeout = "5s"
#
#   ## Username and password to accept for HTTP basic authentication.
#   # basic_username = "user1"
#   # basic_password = "secret"
#
#   ## Allowed CA certificates for client certificates.
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## TLS server certificate and private key.
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Maximum expected time between metrics being written
#   ## Enforces an unhealthy state if there was no new metric seen for at least
#   ## the specified time. The check is disabled by default and only used if a
#   ## positive time is specified.
#   # max_time_between_metrics = "0s"
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   ## One or more check sub-tables should be defined, it is also recommended to
#   ## use metric filtering to limit the metrics that flow into this output.
#   ##
#   ## When using the default buffer sizes, this example will fail when the
#   ## metric buffer is half full.
#   ##
#   ## namepass = ["internal_write"]
#   ## tagpass = { output = ["influxdb"] }
#   ##
#   ## [[outputs.health.compares]]
#   ##   field = "buffer_size"
#   ##   lt = 5000.0
#   ##
#   ## [[outputs.health.contains]]
#   ##   field = "buffer_size"


# # A plugin that can transmit heartbeats over HTTP
# [[outputs.heartbeat]]
#   ## URL of heartbeat endpoint
#   url = "http://monitoring.example.com/heartbeat"
#
#   ## Unique identifier to submit for the Telegraf instance (required)
#   instance_id = "agent-123"
#
#   ## Token for bearer authentication
#   # token = ""
#
#   ## Interval for sending heartbeat messages
#   # interval = "1m"
#
#   ## Information to include in the message, available options are
#   ##   hostname   -- hostname of the instance running Telegraf
#   ##   statistics -- number of metrics, logged errors and warnings, etc
#   ##   configs    -- redacted list of configs loaded by this instance
#   # include = ["hostname"]
#
#   ## Additional HTTP headers
#   # [outputs.heartbeat.headers]
#   #   User-Agent = "telegraf"


# # A plugin that can transmit metrics over HTTP
# [[outputs.http]]
#   ## URL is the address to send metrics to
#   url = "http://127.0.0.1:8080/telegraf"
#
#   ## HTTP method, one of: "POST" or "PUT" or "PATCH"
#   # method = "POST"
#
#   ## HTTP Basic Auth credentials
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Goole API Auth
#   # google_application_credentials = "/etc/telegraf/example_secret.json"
#
#   ## Amount of time allowed to complete the HTTP request
#   # timeout = "5s"
#
#   ## HTTP connection settings
#   # idle_conn_timeout = "0s"
#   # max_idle_conn = 0
#   # max_idle_conn_per_host = 0
#   # response_timeout = "0s"
#
#   ## Optional proxy settings
#   # use_system_proxy = false
#   # http_proxy_url = ""
#
#   ## Optional TLS settings
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable =
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Password for the key file if it is encrypted
#   # tls_key_pwd = ""
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Minimal TLS version to accept by the client
#   # tls_min_version = "TLS12"
#   ## List of ciphers to accept, by default all secure ciphers will be accepted
#   ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
#   ## Use "all", "secure" and "insecure" to add all support ciphers, secure
#   ## suites or insecure suites respectively.
#   # tls_cipher_suites = ["secure"]
#   ## Renegotiation method, "never", "once" or "freely"
#   # tls_renegotiation_method = "never"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## OAuth2 Client Credentials. The options 'client_id', 'client_secret', and 'token_url' are required to use OAuth2.
#   # client_id = "clientid"
#   # client_secret = "secret"
#   # token_url = "https://indentityprovider/oauth2/v1/token"
#   # audience = ""
#   # scopes = ["urn:opc:idm:__myscopes__"]
#
#   ## Optional Cookie authentication
#   # cookie_auth_url = "https://localhost/authMe"
#   # cookie_auth_method = "POST"
#   # cookie_auth_username = "username"
#   # cookie_auth_password = "pa$$word"
#   # cookie_auth_headers = { Content-Type = "application/json", X-MY-HEADER = "hello" }
#   # cookie_auth_body = '{"username": "user", "password": "pa$$word", "authenticate": "me"}'
#   ## cookie_auth_renewal not set or set to "0" will auth once and never renew the cookie
#   # cookie_auth_renewal = "0s"
#
#   ## Data format to output.
#   ## Each data format has it's own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = "influx"
#
#   ## Use batch serialization format (default) instead of line based format.
#   ## Batch format is more efficient and should be used unless line based
#   ## format is really needed.
#   # use_batch_format = true
#
#   ## HTTP Content-Encoding for write request body, can be set to "gzip" to
#   ## compress body or "identity" to apply no encoding.
#   # content_encoding = "identity"
#
#   ## Amazon Region
#   #region = "us-east-1"
#
#   ## Amazon Credentials
#   ## Amazon Credentials are not built unless the following aws_service
#   ## setting is set to a non-empty string. It may need to match the name of
#   ## the service output to as well
#   #aws_service = "execute-api"
#
#   ## Credentials are loaded in the following order
#   ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
#   ## 2) Assumed credentials via STS if role_arn is specified
#   ## 3) explicit credentials from 'access_key' and 'secret_key'
#   ## 4) shared profile from 'profile'
#   ## 5) environment variables
#   ## 6) shared credentials file
#   ## 7) EC2 Instance Profile
#   #access_key = ""
#   #secret_key = ""
#   #token = ""
#   #role_arn = ""
#   #web_identity_token_file = ""
#   #role_session_name = ""
#   #profile = ""
#   #shared_credential_file = ""
#
#   ## Optional list of statuscodes (<200 or >300) upon which requests should not be retried
#   # non_retryable_statuscodes = [409, 413]
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   ## Additional HTTP headers
#   # [outputs.http.headers]
#   #   ## Should be set manually to "application/json" for json data_format
#   #   Content-Type = "text/plain; charset=utf-8"


# # Configuration for sending metrics to InfluxDB
# [[outputs.influxdb]]
#   ## The full HTTP or UDP URL for your InfluxDB instance.
#   ##
#   ## Multiple URLs can be specified for a single cluster, only ONE of the
#   ## urls will be written to each interval.
#   # urls = ["unix:///var/run/influxdb.sock"]
#   # urls = ["udp://127.0.0.1:8089"]
#   # urls = ["http://127.0.0.1:8086"]
#
#   ## Local address to bind when connecting to the server
#   ## If empty or not set, the local address is automatically chosen.
#   # local_address = ""
#
#   ## The target database for metrics; will be created as needed.
#   ## For UDP url endpoint database needs to be configured on server side.
#   # database = "telegraf"
#
#   ## The value of this tag will be used to determine the database.  If this
#   ## tag is not set the 'database' option is used as the default.
#   # database_tag = ""
#
#   ## If true, the 'database_tag' will not be included in the written metric.
#   # exclude_database_tag = false
#
#   ## If true, no CREATE DATABASE queries will be sent.  Set to true when using
#   ## Telegraf with a user without permissions to create databases or when the
#   ## database already exists.
#   # skip_database_creation = false
#
#   ## Name of existing retention policy to write to.  Empty string writes to
#   ## the default retention policy.  Only takes effect when using HTTP.
#   # retention_policy = ""
#
#   ## The value of this tag will be used to determine the retention policy.  If this
#   ## tag is not set the 'retention_policy' option is used as the default.
#   # retention_policy_tag = ""
#
#   ## If true, the 'retention_policy_tag' will not be included in the written metric.
#   # exclude_retention_policy_tag = false
#
#   ## Write consistency (clusters only), can be: "any", "one", "quorum", "all".
#   ## Only takes effect when using HTTP.
#   # write_consistency = "any"
#
#   ## Timeout for HTTP messages.
#   # timeout = "5s"
#
#   ## HTTP Basic Auth
#   # username = "telegraf"
#   # password = "metricsmetricsmetricsmetrics"
#
#   ## HTTP User-Agent
#   # user_agent = "telegraf"
#
#   ## UDP payload size is the maximum packet size to send.
#   # udp_payload = "512B"
#
#   ## Optional TLS Config for use on HTTP connections.
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## HTTP Proxy override, if unset values the standard proxy environment
#   ## variables are consulted to determine which proxy, if any, should be used.
#   # http_proxy = "http://corporate.proxy:3128"
#
#   ## Additional HTTP headers
#   # http_headers = {"X-Special-Header" = "Special-Value"}
#
#   ## HTTP Content-Encoding for write request body, can be set to "gzip" to
#   ## compress body or "identity" to apply no encoding.
#   # content_encoding = "gzip"
#
#   ## When true, Telegraf will output unsigned integers as unsigned values,
#   ## for example "42u".  You will need a version of InfluxDB supporting unsigned
#   ## integer values.  Enabling this option will result in field type errors if
#   ## existing data has been written.
#   # influx_uint_support = false
#
#   ## When true, Telegraf will omit the timestamp on data to allow InfluxDB
#   ## to set the timestamp of the data during ingestion. This is generally NOT
#   ## what you want as it can lead to data points captured at different times
#   ## getting omitted due to similar data.
#   # influx_omit_timestamp = false


# # Send telegraf metrics to Apache Inlong
# [[outputs.inlong]]
#   ## Manager URL to obtain the Inlong data-proxy IP list for sending the data
#   url = "http://127.0.0.1:8083"
#
#   ## Unique identifier for the data-stream group
#   group_id = "telegraf"
#
#   ## Unique identifier for the data stream within its group
#   stream_id = "telegraf"
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = "influx"


# # Configuration for sending metrics to an Instrumental project
# [[outputs.instrumental]]
#   ## Project API Token (required)
#   api_token = "API Token"  # required
#   ## Prefix the metrics with a given name
#   prefix = ""
#   ## Stats output template (Graphite formatting)
#   ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite
#   template = "host.tags.measurement.field"
#   ## Timeout in seconds to connect
#   timeout = "2s"
#   ## Debug true - Print communication to Instrumental
#   debug = false


# # Save metrics to an IoTDB Database
# [[outputs.iotdb]]
#   ## Configuration of IoTDB server connection
#   host = "127.0.0.1"
#   # port = "6667"
#
#   ## Configuration of authentication
#   # user = "root"
#   # password = "root"
#
#   ## Timeout to open a new session.
#   ## A value of zero means no timeout.
#   # timeout = "5s"
#
#   ## Configuration of type conversion for 64-bit unsigned int
#   ## IoTDB currently DOES NOT support unsigned integers (version 13.x).
#   ## 32-bit unsigned integers are safely converted into 64-bit signed integers by the plugin,
#   ## however, this is not true for 64-bit values in general as overflows may occur.
#   ## The following setting allows to specify the handling of 64-bit unsigned integers.
#   ## Available values are:
#   ##   - "int64"       --  convert to 64-bit signed integers and accept overflows
#   ##   - "int64_clip"  --  convert to 64-bit signed integers and clip the values on overflow to 9,223,372,036,854,775,807
#   ##   - "text"        --  convert to the string representation of the value
#   # uint64_conversion = "int64_clip"
#
#   ## Configuration of TimeStamp
#   ## TimeStamp is always saved in 64bits int. timestamp_precision specifies the unit of timestamp.
#   ## Available value:
#   ## "second", "millisecond", "microsecond", "nanosecond"(default)
#   # timestamp_precision = "nanosecond"
#
#   ## Handling of tags
#   ## Tags are not fully supported by IoTDB.
#   ## A guide with suggestions on how to handle tags can be found here:
#   ##     https://iotdb.apache.org/UserGuide/Master/API/InfluxDB-Protocol.html
#   ##
#   ## Available values are:
#   ##   - "fields"     --  convert tags to fields in the measurement
#   ##   - "device_id"  --  attach tags to the device ID
#   ##
#   ## For Example, a metric named "root.sg.device" with the tags `tag1: "private"`  and  `tag2: "working"` and
#   ##  fields `s1: 100`  and `s2: "hello"` will result in the following representations in IoTDB
#   ##   - "fields"     --  root.sg.device, s1=100, s2="hello", tag1="private", tag2="working"
#   ##   - "device_id"  --  root.sg.device.private.working, s1=100, s2="hello"
#   # convert_tags_to = "device_id"
#
#   ## Handling of unsupported characters
#   ## Some characters in different versions of IoTDB are not supported in path name
#   ## A guide with suggetions on valid paths can be found here:
#   ## for iotdb 0.13.x           -> https://iotdb.apache.org/UserGuide/V0.13.x/Reference/Syntax-Conventions.html#identifiers
#   ## for iotdb 1.x.x and above  -> https://iotdb.apache.org/UserGuide/V1.3.x/User-Manual/Syntax-Rule.html#identifier
#   ##
#   ## Available values are:
#   ##   - "1.0", "1.1", "1.2", "1.3"  -- use backticks to enclose tags with forbidden characters
#   ##                                    such as @$#:[]{}() and space
#   ##   - "0.13"                      -- use backticks to enclose tags with forbidden characters
#   ##                                    such as space
#   ## Keep this section commented if you don't want to sanitize the path
#   # sanitize_tag = "1.3"


# # Configuration for the Kafka server to send metrics to
# [[outputs.kafka]]
#   ## URLs of kafka brokers
#   ## The brokers listed here are used to connect to collect metadata about a
#   ## cluster. However, once the initial metadata collect is completed, telegraf
#   ## will communicate solely with the kafka leader and not all defined brokers.
#   brokers = ["localhost:9092"]
#
#   ## Kafka topic for producer messages
#   topic = "telegraf"
#
#   ## Tag value to be used as the topic. If not set or the tag does not exist,
#   ## the 'topic' option is used.
#   # topic_tag = ""
#
#   ## If true, the 'topic_tag' will be removed from to the metric.
#   # exclude_topic_tag = false
#
#   ## Optional Client id
#   # client_id = "Telegraf"
#
#   ## Set the minimal supported Kafka version.  Setting this enables the use of new
#   ## Kafka features and APIs.  Of particular interested, lz4 compression
#   ## requires at least version 0.10.0.0.
#   ##   ex: version = "1.1.0"
#   # version = ""
#
#   ## The routing tag specifies a tagkey on the metric whose value is used as
#   ## the message key.  The message key is used to determine which partition to
#   ## send the message to.  This tag is preferred over the routing_key option.
#   routing_tag = "host"
#
#   ## The routing key is set as the message key and used to determine which
#   ## partition to send the message to.  This value is only used when no
#   ## routing_tag is set or as a fallback when the tag specified in routing tag
#   ## is not found.
#   ##
#   ## If set to "random", a random value will be generated for each message.
#   ##
#   ## When unset, no message key is added and each message is routed to a random
#   ## partition.
#   ##
#   ##   ex: routing_key = "random"
#   ##       routing_key = "telegraf"
#   # routing_key = ""
#
#   ## Compression codec represents the various compression codecs recognized by
#   ## Kafka in messages.
#   ##  0 : None
#   ##  1 : Gzip
#   ##  2 : Snappy
#   ##  3 : LZ4
#   ##  4 : ZSTD
#   # compression_codec = 0
#
#   ## Idempotent Writes
#   ## If enabled, exactly one copy of each message is written.
#   # idempotent_writes = false
#
#   ##  RequiredAcks is used in Produce Requests to tell the broker how many
#   ##  replica acknowledgements it must see before responding
#   ##   0 : the producer never waits for an acknowledgement from the broker.
#   ##       This option provides the lowest latency but the weakest durability
#   ##       guarantees (some data will be lost when a server fails).
#   ##   1 : the producer gets an acknowledgement after the leader replica has
#   ##       received the data. This option provides better durability as the
#   ##       client waits until the server acknowledges the request as successful
#   ##       (only messages that were written to the now-dead leader but not yet
#   ##       replicated will be lost).
#   ##   -1: the producer gets an acknowledgement after all in-sync replicas have
#   ##       received the data. This option provides the best durability, we
#   ##       guarantee that no messages will be lost as long as at least one in
#   ##       sync replica remains.
#   # required_acks = -1
#
#   ## The maximum number of times to retry sending a metric before failing
#   ## until the next flush.
#   # max_retry = 3
#
#   ## The maximum permitted size of a message. Should be set equal to or
#   ## smaller than the broker's 'message.max.bytes'.
#   # max_message_bytes = 1000000
#
#   ## Producer timestamp
#   ## This option sets the timestamp of the kafka producer message, choose from:
#   ##   * metric: Uses the metric's timestamp
#   ##   * now: Uses the time of write
#   # producer_timestamp = metric
#
#   ## Add metric name as specified kafka header if not empty
#   # metric_name_header = ""
#
#   ## Optional TLS Config
#   # enable_tls = false
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Period between keep alive probes.
#   ## Defaults to the OS configuration if not specified or zero.
#   # keep_alive_period = "15s"
#
#   ## Optional SOCKS5 proxy to use when connecting to brokers
#   # socks5_enabled = true
#   # socks5_address = "127.0.0.1:1080"
#   # socks5_username = "alice"
#   # socks5_password = "pass123"
#
#   ## Optional SASL Config
#   # sasl_username = ""
#   # sasl_password = ""
#
#   ## Optional SASL, one of:
#   ##   OAUTHBEARER, PLAIN, SCRAM-SHA-256, SCRAM-SHA-512, GSSAPI, AWS-MSK-IAM
#   # sasl_mechanism = ""
#
#   ## Used if sasl_mechanism is GSSAPI
#   # sasl_gssapi_service_name = ""
#   # ## One of: KRB5_USER_AUTH and KRB5_KEYTAB_AUTH
#   # sasl_gssapi_auth_type = "KRB5_USER_AUTH"
#   # sasl_gssapi_kerberos_config_path = "/"
#   # sasl_gssapi_realm = "realm"
#   # sasl_gssapi_key_tab_path = ""
#   # sasl_gssapi_disable_pafxfast = false
#
#   ## Access token used if sasl_mechanism is OAUTHBEARER
#   # sasl_access_token = ""
#
#   ## Used if sasl_mechanism is AWS-MSK-IAM
#   # sasl_aws_msk_iam_region = ""
#   ## for profile based auth
#   ## sasl_aws_msk_iam_profile = ""
#   ## for role based auth
#   ## sasl_aws_msk_iam_role = ""
#   ## sasl_aws_msk_iam_session = ""
#
#   ## Arbitrary key value string pairs to pass as a TOML table. For example:
#   ## {logicalCluster = "cluster-042", poolId = "pool-027"}
#   # sasl_extensions = {}
#
#   ## SASL protocol version.  When connecting to Azure EventHub set to 0.
#   # sasl_version = 1
#
#   ## Disable Kafka metadata full fetch
#   # metadata_full = false
#
#   ## Maximum number of retries for metadata operations including
#   ## connecting. Sets Sarama library's Metadata.Retry.Max config value. If 0 or
#   ## unset, use the Sarama default of 3,
#   # metadata_retry_max = 0
#
#   ## Type of retry backoff. Valid options: "constant", "exponential"
#   # metadata_retry_type = "constant"
#
#   ## Amount of time to wait before retrying. When metadata_retry_type is
#   ## "constant", each retry is delayed this amount. When "exponential", the
#   ## first retry is delayed this amount, and subsequent delays are doubled. If 0
#   ## or unset, use the Sarama default of 250 ms
#   # metadata_retry_backoff = 0
#
#   ## Maximum amount of time to wait before retrying when metadata_retry_type is
#   ## "exponential". Ignored for other retry types. If 0, there is no backoff
#   ## limit.
#   # metadata_retry_max_duration = 0
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = "influx"
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   ## Optional topic suffix configuration.
#   ## If the section is omitted, no suffix is used.
#   ## Following topic suffix methods are supported:
#   ##   measurement - suffix equals to separator + measurement's name
#   ##   tags        - suffix equals to separator + specified tags' values
#   ##                 interleaved with separator
#
#   ## Suffix equals to "_" + measurement name
#   # [outputs.kafka.topic_suffix]
#   #   method = "measurement"
#   #   separator = "_"
#
#   ## Suffix equals to "__" + measurement's "foo" tag value.
#   ## If there's no such a tag, suffix equals to an empty string
#   # [outputs.kafka.topic_suffix]
#   #   method = "tags"
#   #   keys = ["foo"]
#   #   separator = "__"
#
#   ## Suffix equals to "_" + measurement's "foo" and "bar"
#   ## tag values, separated by "_". If there is no such tags,
#   ## their values treated as empty strings.
#   # [outputs.kafka.topic_suffix]
#   #   method = "tags"
#   #   keys = ["foo", "bar"]
#   #   separator = "_"


# # Configuration for the AWS Kinesis output.
# [[outputs.kinesis]]
#   ## Amazon REGION of kinesis endpoint.
#   region = "ap-southeast-2"
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
#   ## 2) Assumed credentials via STS if role_arn is specified
#   ## 3) explicit credentials from 'access_key' and 'secret_key'
#   ## 4) shared profile from 'profile'
#   ## 5) environment variables
#   ## 6) shared credentials file
#   ## 7) EC2 Instance Profile
#   #access_key = ""
#   #secret_key = ""
#   #token = ""
#   #role_arn = ""
#   #web_identity_token_file = ""
#   #role_session_name = ""
#   #profile = ""
#   #shared_credential_file = ""
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = "http://localhost:8000"
#   # endpoint_url = ""
#
#   ## Kinesis StreamName must exist prior to starting telegraf.
#   streamname = "StreamName"
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = "influx"
#
#   ## debug will show upstream aws messages.
#   debug = false
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   ## The partition key can be calculated using one of several methods:
#   ##
#   ## Use a static value for all writes:
#   #  [outputs.kinesis.partition]
#   #    method = "static"
#   #    key = "howdy"
#   #
#   ## Use a random partition key on each write:
#   #  [outputs.kinesis.partition]
#   #    method = "random"
#   #
#   ## Use the measurement name as the partition key:
#   #  [outputs.kinesis.partition]
#   #    method = "measurement"
#   #
#   ## Use the value of a tag for all writes, if the tag is not set the empty
#   ## default option will be used. When no default, defaults to "telegraf"
#   #  [outputs.kinesis.partition]
#   #    method = "tag"
#   #    key = "host"
#   #    default = "mykey"


# # Configuration for Librato API to send metrics to.
# [[outputs.librato]]
#   ## Librato API Docs
#   ## http://dev.librato.com/v1/metrics-authentication
#   ## Librato API user
#   api_user = "telegraf@influxdb.com" # required.
#   ## Librato API token
#   api_token = "my-secret-token" # required.
#   ## Debug
#   # debug = false
#   ## Connection timeout.
#   # timeout = "5s"
#   ## Output source Template (same as graphite buckets)
#   ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite
#   ## This template is used in librato's source (not metric's name)
#   template = "host"


# # A plugin that can send metrics over HTTPs to Logz.io
# [[outputs.logzio]]
#   ## Connection timeout, defaults to "5s" if not set.
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Logz.io account token
#   token = "your logz.io token" # required
#
#   ## Use your listener URL for your Logz.io account region.
#   # url = "https://listener.logz.io:8071"


# # A plugin that can transmit logs to Loki
# [[outputs.loki]]
#   ## The domain of Loki
#   domain = "https://loki.domain.tld"
#
#   ## Endpoint to write api
#   # endpoint = "/loki/api/v1/push"
#
#   ## Connection timeout, defaults to "5s" if not set.
#   # timeout = "5s"
#
#   ## Basic auth credential
#   # username = "loki"
#   # password = "pass"
#
#   ## Additional HTTP headers
#   # http_headers = {"X-Scope-OrgID" = "1"}
#
#   ## If the request must be gzip encoded
#   # gzip_request = false
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Sanitize Tag Names
#   ## If true, all tag names will have invalid characters replaced with
#   ## underscores that do not match the regex: ^[a-zA-Z_][a-zA-Z0-9_]*.
#   # sanitize_label_names = false
#
#   ## Metric Name Label
#   ## Label to use for the metric name to when sending metrics. If set to an
#   ## empty string, this will not add the label. This is NOT suggested as there
#   ## is no way to differentiate between multiple metrics.
#   # metric_name_label = "__name"


# # Sends metrics to Microsoft Fabric
# [[outputs.microsoft_fabric]]
#   ## The URI property of the resource on Microsoft Fabric
#   connection_string = "https://trd-abcd.xx.kusto.fabric.microsoft.com;Database=kusto_eh;Table Name=telegraf_dump;Key=value"
#
#   ## Client timeout
#   # timeout = "30s"


# # A plugin that can transmit logs to mongodb
# [[outputs.mongodb]]
#   # connection string examples for mongodb
#   dsn = "mongodb://localhost:27017"
#   # dsn = "mongodb://mongod1:27017,mongod2:27017,mongod3:27017/admin&replicaSet=myReplSet&w=1"
#
#   # overrides serverSelectionTimeoutMS in dsn if set
#   # timeout = "30s"
#
#   # default authentication, optional
#   # authentication = "NONE"
#
#   # for SCRAM-SHA-256 authentication
#   # authentication = "SCRAM"
#   # username = "root"
#   # password = "***"
#
#   ## for PLAIN authentication (e.g., LDAP)
#   ## IMPORTANT: PLAIN authentication sends credentials in plaintext during the
#   ## authentication handshake. Always use TLS to encrypt credentials in transit.
#   # authentication = "PLAIN"
#   # username = "myuser"
#   # password = "***"
#
#   # for x509 certificate authentication
#   # authentication = "X509"
#   # tls_ca = "ca.pem"
#   # tls_key = "client.pem"
#   # # tls_key_pwd = "changeme" # required for encrypted tls_key
#   # insecure_skip_verify = false
#
#   # database to store measurements and time series collections
#   # database = "telegraf"
#
#   # granularity can be seconds, minutes, or hours.
#   # configuring this value will be based on your input collection frequency.
#   # see https://docs.mongodb.com/manual/core/timeseries-collections/#create-a-time-series-collection
#   # granularity = "seconds"
#
#   # optionally set a TTL to automatically expire documents from the measurement collections.
#   # ttl = "360h"


# # Configuration for MQTT server to send metrics to
# [[outputs.mqtt]]
#   ## MQTT Brokers
#   ## The list of brokers should only include the hostname or IP address and the
#   ## port to the broker. This should follow the format `[{scheme}://]{host}:{port}`. For
#   ## example, `localhost:1883` or `mqtt://localhost:1883`.
#   ## Scheme can be any of the following: tcp://, mqtt://, tls://, mqtts://
#   ## non-TLS and TLS servers can not be mix-and-matched.
#   servers = ["localhost:1883", ] # or ["mqtts://tls.example.com:1883"]
#
#   ## Protocol can be `3.1.1` or `5`. Default is `3.1.1`
#   # protocol = "3.1.1"
#
#   ## MQTT Topic for Producer Messages
#   ## MQTT outputs send metrics to this topic format:
#   ## prefix/{{ .Tag "host" }}/{{ .Name }}/{{ .Tag "tag_key" }}
#   ## (e.g. prefix/web01.example.com/mem/some_tag_value)
#   ## Each path segment accepts either a template placeholder, an environment variable, or a tag key
#   ## of the form `{{.Tag "tag_key_name"}}`. All the functions provided by the Sprig library
#   ## (http://masterminds.github.io/sprig/) are available. Empty path elements as well as special MQTT
#   ## characters (such as `+` or `#`) are invalid to form the topic name and will lead to an error.
#   ## In case a tag is missing in the metric, that path segment omitted for the final topic.
#   topic = 'telegraf/{{ .Tag "host" }}/{{ .Name }}'
#
#   ## QoS policy for messages
#   ## The mqtt QoS policy for sending messages.
#   ## See https://www.ibm.com/support/knowledgecenter/en/SSFKSJ_9.0.0/com.ibm.mq.dev.doc/q029090_.htm
#   ##   0 = at most once
#   ##   1 = at least once
#   ##   2 = exactly once
#   # qos = 2
#
#   ## Keep Alive
#   ## Defines the maximum length of time that the broker and client may not
#   ## communicate. Defaults to 0 which turns the feature off.
#   ##
#   ## For version v2.0.12 and later mosquitto there is a bug
#   ## (see https://github.com/eclipse/mosquitto/issues/2117), which requires
#   ## this to be non-zero. As a reference eclipse/paho.mqtt.golang defaults to 30.
#   # keep_alive = 0
#
#   ## username and password to connect MQTT server.
#   # username = "telegraf"
#   # password = "metricsmetricsmetricsmetrics"
#
#   ## client ID
#   ## The unique client id to connect MQTT server. If this parameter is not set
#   ## then a random ID is generated.
#   # client_id = ""
#
#   ## Timeout for write operations. default: 5s
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## When true, metric will have RETAIN flag set, making broker cache entries until someone
#   ## actually reads it
#   # retain = false
#
#   ## Layout of the topics published.
#   ## The following choices are available:
#   ##   non-batch -- send individual messages, one for each metric
#   ##   batch     -- send all metric as a single message per MQTT topic
#   ## NOTE: The following options will ignore the 'data_format' option and send single values
#   ##   field     -- send individual messages for each field, appending its name to the metric topic
#   ##   homie-v4  -- send metrics with fields and tags according to the 4.0.0 specs
#   ##                see https://homieiot.github.io/specification/
#   # layout = "non-batch"
#
#   ## HOMIE specific settings
#   ## The following options provide templates for setting the device name
#   ## and the node-ID for the topics. Both options are MANDATORY and can contain
#   ## {{ .Name }} (metric name), {{ .Tag "key"}} (tag reference to 'key') or
#   ## constant strings. The templates MAY NOT contain slashes!
#   # homie_device_name = ""
#   # homie_node_id = ""
#
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = "influx"
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   ## Optional MQTT 5 publish properties
#   ## These setting only apply if the "protocol" property is set to 5. This must
#   ## be defined at the end of the plugin settings, otherwise TOML will assume
#   ## anything else is part of this table. For more details on publish properties
#   ## see the spec:
#   ## https://docs.oasis-open.org/mqtt/mqtt/v5.0/os/mqtt-v5.0-os.html#_Toc3901109
#   # [outputs.mqtt.v5]
#   #   content_type = ""
#   #   response_topic = ""
#   #   message_expiry = "0s"
#   #   topic_alias = 0
#   # [outputs.mqtt.v5.user_properties]
#   #   "key1" = "value 1"
#   #   "key2" = "value 2"


# # Send telegraf measurements to NATS
# [[outputs.nats]]
#   ## URLs of NATS servers
#   servers = ["nats://localhost:4222"]
#
#   ## Optional client name
#   # name = ""
#
#   ## Optional credentials
#   # username = ""
#   # password = ""
#
#   ## Optional NATS 2.0 and NATS NGS compatible user credentials
#   # credentials = ""
#
#   ## Optional authentication with nkey seed file (NATS 2.0)
#   # nkey_seed = "/etc/telegraf/seed.txt"
#
#   ## NATS subject for producer messages.
#   ## This field can be a static string or a Go template, see README for details.
#   ## Incompatible with `use_batch_format
#   subject = "telegraf"
#
#   ## Use Transport Layer Security
#   # secure = false
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Use batch serialization instead of per metric. The batch format allows for the
#   ## production of batch output formats and may more efficiently encode and write metrics.
#   # use_batch_format = false
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = "influx"
#
#   ## Jetstream specific configuration. If not nil, it will assume Jetstream context.
#   ## Since this is a table, it should be present at the end of the plugin section. Else you can use inline table format.
#   # [outputs.nats.jetstream]
#     ## Name of the stream, required when using jetstream.
#     # name = ""
#     ## List of subjects to register on the stream
#     # subjects = []
#
#     ## Use asynchronous publishing for higher throughput, but note that it does not guarantee order within batches.
#     # async_publish = false
#
#     ## Timeout for wating on acknowledgement on asynchronous publishing
#     ## String with valid units "ns", "us" (or "µs"), "ms", "s", "m", "h".
#     # async_ack_timeout = "5s"
#
#     ## Full jetstream create stream config, refer: https://docs.nats.io/nats-concepts/jetstream/streams
#     # retention = "limits"
#     # max_consumers = -1
#     # max_msgs_per_subject = -1
#     # max_msgs = -1
#     # max_bytes = -1
#     # max_age = 0
#     # max_msg_size = -1
#     # storage = "file"
#     # discard = "old"
#     # num_replicas = 1
#     # duplicate_window = 120000000000
#     # sealed = false
#     # deny_delete = false
#     # deny_purge = false
#     # allow_rollup_hdrs = false
#     # allow_direct = true
#     # mirror_direct = false
#
#     ## Disable creating the stream but assume the stream is managed externally
#     ## and already exists. This will make the plugin fail if the steam does not exist.
#     # disable_stream_creation = false


# # Send aggregated metrics to Nebius.Cloud Monitoring
# [[outputs.nebius_cloud_monitoring]]
#   ## Timeout for HTTP writes.
#   # timeout = "20s"
#
#   ## Nebius.Cloud monitoring API endpoint. Normally should not be changed


# # Send metrics to New Relic metrics endpoint
# [[outputs.newrelic]]
#   ## The 'insights_key' parameter requires a NR license key.
#   ## New Relic recommends you create one
#   ## with a convenient name such as TELEGRAF_INSERT_KEY.
#   ## reference: https://docs.newrelic.com/docs/apis/intro-apis/new-relic-api-keys/#ingest-license-key
#   # insights_key = "New Relic License Key Here"
#
#   ## Prefix to add to add to metric name for easy identification.
#   ## This is very useful if your metric names are ambiguous.
#   # metric_prefix = ""
#
#   ## Timeout for writes to the New Relic API.
#   # timeout = "15s"
#
#   ## HTTP Proxy override. If unset use values from the standard
#   ## proxy environment variables to determine proxy, if any.
#   # http_proxy = "http://corporate.proxy:3128"
#
#   ## Metric URL override to enable geographic location endpoints.
#   # If not set use values from the standard
#   # metric_url = "https://metric-api.newrelic.com/metric/v1"


# # Send telegraf measurements to NSQD
# [[outputs.nsq]]
#   ## Location of nsqd instance listening on TCP
#   server = "localhost:4150"
#   ## NSQ topic for producer messages
#   topic = "telegraf"
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = "influx"


# # Configuration for OpenSearch to send metrics to.
# [[outputs.opensearch]]
#   ## URLs
#   ## The full HTTP endpoint URL for your OpenSearch instance. Multiple URLs can
#   ## be specified as part of the same cluster, but only one URLs is used to
#   ## write during each interval.
#   urls = ["http://node1.os.example.com:9200"]
#
#   ## Index Name
#   ## Target index name for metrics (OpenSearch will create if it not exists).
#   ## This is a Golang template (see https://pkg.go.dev/text/template)
#   ## You can also specify
#   ## metric name (`{{.Name}}`), tag value (`{{.Tag "tag_name"}}`), field value (`{{.Field "field_name"}}`)
#   ## If the tag does not exist, the default tag value will be empty string "".
#   ## the timestamp (`{{.Time.Format "xxxxxxxxx"}}`).
#   ## For example: "telegraf-{{.Time.Format \"2006-01-02\"}}-{{.Tag \"host\"}}" would set it to telegraf-2023-07-27-HostName
#   index_name = ""
#
#   ## Timeout
#   ## OpenSearch client timeout
#   # timeout = "5s"
#
#   ## Sniffer
#   ## Set to true to ask OpenSearch a list of all cluster nodes,
#   ## thus it is not necessary to list all nodes in the urls config option
#   # enable_sniffer = false
#
#   ## GZIP Compression
#   ## Set to true to enable gzip compression
#   # enable_gzip = false
#
#   ## Health Check Interval
#   ## Set the interval to check if the OpenSearch nodes are available
#   ## Setting to "0s" will disable the health check (not recommended in production)
#   # health_check_interval = "10s"
#
#   ## Set the timeout for periodic health checks.
#   # health_check_timeout = "1s"
#   ## HTTP basic authentication details.
#   # username = ""
#   # password = ""
#   ## HTTP bearer token authentication details
#   # auth_bearer_token = ""
#
#   ## Optional TLS Config
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable =
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Template Config
#   ## Manage templates
#   ## Set to true if you want telegraf to manage its index template.
#   ## If enabled it will create a recommended index template for telegraf indexes
#   # manage_template = true
#
#   ## Template Name
#   ## The template name used for telegraf indexes
#   # template_name = "telegraf"
#
#   ## Overwrite Templates
#   ## Set to true if you want telegraf to overwrite an existing template
#   # overwrite_template = false
#
#   ## Document ID
#   ## If set to true a unique ID hash will be sent as
#   ## sha256(concat(timestamp,measurement,series-hash)) string. It will enable
#   ## data resend and update metric points avoiding duplicated metrics with
#   ## different id's
#   # force_document_id = false
#
#   ## Value Handling
#   ## Specifies the handling of NaN and Inf values.
#   ## This option can have the following values:
#   ##    none    -- do not modify field-values (default); will produce an error
#   ##               if NaNs or infs are encountered
#   ##    drop    -- drop fields containing NaNs or infs
#   ##    replace -- replace with the value in "float_replacement_value" (default: 0.0)
#   ##               NaNs and inf will be replaced with the given number, -inf with the negative of that number
#   # float_handling = "none"
#   # float_replacement_value = 0.0
#
#   ## Pipeline Config
#   ## To use a ingest pipeline, set this to the name of the pipeline you want to use.
#   # use_pipeline = "my_pipeline"
#
#   ## Pipeline Name
#   ## Additionally, you can specify a tag name using the notation (`{{.Tag "tag_name"}}`)
#   ## which will be used as the pipeline name (e.g. "{{.Tag "os_pipeline"}}").
#   ## If the tag does not exist, the default pipeline will be used as the pipeline.
#   ## If no default pipeline is set, no pipeline is used for the metric.
#   # default_pipeline = ""


# # Send OpenTelemetry metrics over gRPC
# [[outputs.opentelemetry]]
#   ## Override the default (localhost:4317) OpenTelemetry gRPC service
#   ## address:port
#   # service_address = "localhost:4317"
#
#   ## Override the default (5s) request timeout
#   # timeout = "5s"
#
#   ## Optional TLS Config.
#   ##
#   ## Root certificates for verifying server certificates encoded in PEM format.
#   # tls_ca = "/etc/telegraf/ca.pem"
#   ## The public and private key pairs for the client encoded in PEM format.
#   ## May contain intermediate certificates.
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS, but skip TLS chain and host verification.
#   # insecure_skip_verify = false
#   ## Send the specified TLS server name via SNI.
#   # tls_server_name = "foo.example.com"
#
#   ## Override the default (gzip) compression used to send data.
#   ## Supports: "gzip", "none"
#   # compression = "gzip"
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   ## Configuration options for the Coralogix dialect
#   ## Enable the following section of you use this plugin with a Coralogix endpoint
#   # [outputs.opentelemetry.coralogix]
#   #   ## Your Coralogix private key (required).
#   #   ## Please note that this is sensitive data!
#   #   private_key = "your_coralogix_key"
#   #
#   #   ## Application and subsystem names for the metrics (required)
#   #   application = "$NAMESPACE"
#   #   subsystem = "$HOSTNAME"
#
#   ## Additional OpenTelemetry resource attributes
#   # [outputs.opentelemetry.attributes]
#   # "service.name" = "demo"
#
#   ## Additional gRPC request metadata
#   # [outputs.opentelemetry.headers]
#   # key1 = "value1"


# # Configuration for OpenTSDB server to send metrics to
# [[outputs.opentsdb]]
#   ## prefix for metrics keys
#   prefix = "my.specific.prefix."
#
#   ## DNS name of the OpenTSDB server
#   ## Using "opentsdb.example.com" or "tcp://opentsdb.example.com" will use the
#   ## telnet API. "http://opentsdb.example.com" will use the Http API.
#   host = "opentsdb.example.com"
#
#   ## Port of the OpenTSDB server
#   port = 4242
#
#   ## Number of data points to send to OpenTSDB in Http requests.
#   ## Not used with telnet API.
#   http_batch_size = 50
#
#   ## URI Path for Http requests to OpenTSDB.
#   ## Used in cases where OpenTSDB is located behind a reverse proxy.
#   http_path = "/api/put"
#
#   ## Debug true - Prints OpenTSDB communication
#   debug = false
#
#   ## Separator separates measurement name from field
#   separator = "_"


# # A plugin that writes metrics to parquet files
# [[outputs.parquet]]
#   ## Directory to write parquet files in. If a file already exists the output
#   ## will attempt to continue using the existing file.
#   # directory = "."
#
#   ## Files are rotated after the time interval specified. When set to 0 no time
#   ## based rotation is performed.
#   # rotation_interval = "0h"
#
#   ## Timestamp field name
#   ## Field name to use to store the timestamp. If set to an empty string, then
#   ## the timestamp is omitted.
#   # timestamp_field_name = "timestamp"


# # Publishes metrics to a postgresql database
# [[outputs.postgresql]]
#   ## Specify connection address via the standard libpq connection string:
#   ##   host=... user=... password=... sslmode=... dbname=...
#   ## Or a URL:
#   ##   postgres://[user[:password]]@localhost[/dbname]?sslmode=[disable|verify-ca|verify-full]
#   ## See https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-CONNSTRING
#   ##
#   ## All connection parameters are optional. Environment vars are also supported.
#   ## e.g. PGPASSWORD, PGHOST, PGUSER, PGDATABASE
#   ## All supported vars can be found here:
#   ##  https://www.postgresql.org/docs/current/libpq-envars.html
#   ##
#   ## Non-standard parameters:
#   ##   pool_max_conns (default: 1) - Maximum size of connection pool for parallel (per-batch per-table) inserts.
#   ##   pool_min_conns (default: 0) - Minimum size of connection pool.
#   ##   pool_max_conn_lifetime (default: 0s) - Maximum connection age before closing.
#   ##   pool_max_conn_idle_time (default: 0s) - Maximum idle time of a connection before closing.
#   ##   pool_health_check_period (default: 0s) - Duration between health checks on idle connections.
#   # connection = ""
#
#   ## Postgres schema to use.
#   # schema = "public"
#
#   ## Store tags as foreign keys in the metrics table. Default is false.
#   # tags_as_foreign_keys = false
#
#   ## Suffix to append to table name (measurement name) for the foreign tag table.
#   # tag_table_suffix = "_tag"
#
#   ## Deny inserting metrics if the foreign tag can't be inserted.
#   # foreign_tag_constraint = false
#
#   ## Store all tags as a JSONB object in a single 'tags' column.
#   # tags_as_jsonb = false
#
#   ## Store all fields as a JSONB object in a single 'fields' column.
#   # fields_as_jsonb = false
#
#   ## Name of the timestamp column
#   ## NOTE: Some tools (e.g. Grafana) require the default name so be careful!
#   # timestamp_column_name = "time"
#
#   ## Type of the timestamp column
#   ## Currently, "timestamp without time zone" and "timestamp with time zone"
#   ## are supported
#   # timestamp_column_type = "timestamp without time zone"
#
#   ## Templated statements to execute when creating a new table.
#   # create_templates = [
#   #   '''CREATE TABLE {{ .table }} ({{ .columns }})''',
#   # ]
#
#   ## Templated statements to execute when adding columns to a table.
#   ## Set to an empty list to disable. Points containing tags for which there is
#   ## no column will be skipped. Points containing fields for which there is no
#   ## column will have the field omitted.
#   # add_column_templates = [
#   #   '''ALTER TABLE {{ .table }} ADD COLUMN IF NOT EXISTS {{ .columns|join ", ADD COLUMN IF NOT EXISTS " }}''',
#   # ]
#
#   ## Templated statements to execute when creating a new tag table.
#   # tag_table_create_templates = [
#   #   '''CREATE TABLE {{ .table }} ({{ .columns }}, PRIMARY KEY (tag_id))''',
#   # ]
#
#   ## Templated statements to execute when adding columns to a tag table.
#   ## Set to an empty list to disable. Points containing tags for which there is
#   ## no column will be skipped.
#   # tag_table_add_column_templates = [
#   #   '''ALTER TABLE {{ .table }} ADD COLUMN IF NOT EXISTS {{ .columns|join ", ADD COLUMN IF NOT EXISTS " }}''',
#   # ]
#
#   ## The postgres data type to use for storing unsigned 64-bit integer values
#   ## (Postgres does not have a native unsigned 64-bit integer type).
#   ## The value can be one of:
#   ##   numeric - Uses the PostgreSQL "numeric" data type.
#   ##   uint8 - Requires pguint extension (https://github.com/petere/pguint)
#   # uint64_type = "numeric"
#
#   ## When using pool_max_conns > 1, and a temporary error occurs, the query is
#   ## retried with an incremental backoff. This controls the maximum duration.
#   # retry_max_backoff = "15s"
#
#   ## Approximate number of tag IDs to store in in-memory cache (when using
#   ## tags_as_foreign_keys). This is an optimization to skip inserting known
#   ## tag IDs. Each entry consumes approximately 34 bytes of memory.
#   # tag_cache_size = 100000
#
#   ## Cut column names at the given length to not exceed PostgreSQL's
#   ## 'identifier length' limit (default: no limit)
#   ## (see https://www.postgresql.org/docs/current/limits.html)
#   ## Be careful to not create duplicate column names!
#   # column_name_length_limit = 0
#
#   ## Enable & set the log level for the Postgres driver.
#   # log_level = "warn" # trace, debug, info, warn, error, none


# # Configuration for the Prometheus client to spawn
# [[outputs.prometheus_client]]
#   ## Address to listen on.
#   ##   ex:
#   ##     listen = ":9273"
#   ##     listen = "vsock://:9273"
#   listen = ":9273"
#
#   ## Maximum duration before timing out read of the request
#   # read_timeout = "10s"
#   ## Maximum duration before timing out write of the response
#   # write_timeout = "10s"
#
#   ## Metric version controls the mapping from Prometheus metrics into Telegraf metrics.
#   ## See "Metric Format Configuration" in plugins/inputs/prometheus/README.md for details.
#   ## Valid options: 1, 2
#   # metric_version = 1
#
#   ## Use HTTP Basic Authentication.
#   # basic_username = "Foo"
#   # basic_password = "Bar"
#
#   ## If set, the IP Ranges which are allowed to access metrics.
#   ##   ex: ip_range = ["192.168.0.0/24", "192.168.1.0/30"]
#   # ip_range = []
#
#   ## Path to publish the metrics on.
#   # path = "/metrics"
#
#   ## Expiration interval for each metric. 0 == no expiration
#   # expiration_interval = "60s"
#
#   ## Collectors to enable, valid entries are "gocollector" and "process".
#   ## If unset, both are enabled.
#   # collectors_exclude = ["gocollector", "process"]
#
#   ## Send string metrics as Prometheus labels.
#   ## Unless set to false all string metrics will be sent as labels.
#   # string_as_label = true
#
#   ## If set, enable TLS with the given certificate.
#   # tls_cert = "/etc/ssl/telegraf.crt"
#   # tls_key = "/etc/ssl/telegraf.key"
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Export metric collection time.
#   # export_timestamp = false
#
#   ## Set custom headers for HTTP responses.
#   # http_headers = {"X-Special-Header" = "Special-Value"}
#
#   ## Specify the metric type explicitly.
#   ## This overrides the metric-type of the Telegraf metric. Globbing is allowed.
#   # [outputs.prometheus_client.metric_types]
#   #   counter = []
#   #   gauge = []


# # Send metrics to a Quix data processing pipeline
# [[outputs.quix]]
#   ## Endpoint for providing the configuration
#   # url = "https://portal-api.platform.quix.io"
#
#   ## Workspace and topics to send the metrics to
#   workspace = "your_workspace"
#   topic = "your_topic"
#
#   ## Authentication token created in Quix
#   token = "your_auth_token"
#
#   ## Amount of time allowed to complete the HTTP request for fetching the config


# # Publishes metrics to a redis timeseries server
# [[outputs.redistimeseries]]
#   ## The address of the RedisTimeSeries server.
#   address = "127.0.0.1:6379"
#
#   ## Redis ACL credentials
#   # username = ""
#   # password = ""
#   # database = 0
#
#   ## Timeout for operations such as ping or sending metrics
#   # timeout = "10s"
#
#   ## Enable attempt to convert string fields to numeric values
#   ## If "false" or in case the string value cannot be converted the string
#   ## field will be dropped.
#   # convert_string_fields = true
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   # insecure_skip_verify = false


# # Send telegraf metrics to file(s) in a remote filesystem
# [[outputs.remotefile]]
#   ## Remote location according to https://rclone.org/#providers
#   ## Check the backend configuration options and specify them in
#   ##   <backend type>[,<param1>=<value1>[,...,<paramN>=<valueN>]]:[root]
#   ## for example:
#   ##   remote = 's3,provider=AWS,access_key_id=...,secret_access_key=...,session_token=...,region=us-east-1:mybucket'
#   ## By default, remote is the local current directory
#   # remote = "local:"
#
#   ## Files to write in the remote location
#   ## Each file can be a Golang template for generating the filename from metrics.
#   ## See https://pkg.go.dev/text/template for a reference and use the metric
#   ## name (`{{.Name}}`), tag values (`{{.Tag "name"}}`), field values
#   ## (`{{.Field "name"}}`) or the metric time (`{{.Time}}) to derive the
#   ## filename.
#   ## The 'files' setting may contain directories relative to the root path
#   ## defined in 'remote'.
#   files = ['{{.Name}}-{{.Time.Format "2006-01-02"}}']
#
#   ## Use batch serialization format instead of line based delimiting.
#   ## The batch format allows for the production of non-line-based output formats
#   ## and may more efficiently encode metrics.
#   # use_batch_format = false
#
#   ## Cache settings
#   ## Time to wait for all writes to complete on shutdown of the plugin.
#   # final_write_timeout = "10s"
#
#   ## Time to wait between writing to a file and uploading to the remote location
#   # cache_write_back = "5s"
#
#   ## Maximum size of the cache on disk (infinite by default)
#   # cache_max_size = -1
#
#   ## Forget files after not being touched for longer than the given time
#   ## This is useful to prevent memory leaks when using time-based filenames
#   ## as it allows internal structures to be cleaned up.
#   ## Note: When writing to a file after is has been forgotten, the file is
#   ##       treated as a new file which might cause file-headers to be appended
#   ##       again by certain serializers like CSV.
#   ## By default files will be kept indefinitely.
#   # forget_files_after = "0s"
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = "influx"
#
#   ## Compress output data with the specified algorithm.
#   ## If empty, compression will be disabled and files will be plain text.
#   ## Supported algorithms are "zstd", "gzip" and "zlib".
#   # compression_algorithm = ""
#
#   ## Compression level for the algorithm above.
#   ## Please note that different algorithms support different levels:
#   ##   zstd  -- supports levels 1, 3, 7 and 11.
#   ##   gzip -- supports levels 0, 1 and 9.
#   ##   zlib -- supports levels 0, 1, and 9.
#   ## By default the default compression level for each algorithm is used.
#   # compression_level = -1


# # Configuration for Riemann to send metrics to
# [[outputs.riemann]]
#   ## The full TCP or UDP URL of the Riemann server
#   url = "tcp://localhost:5555"
#
#   ## Riemann event TTL, floating-point time in seconds.
#   ## Defines how long that an event is considered valid for in Riemann
#   # ttl = 30.0
#
#   ## Separator to use between measurement and field name in Riemann service name
#   ## This does not have any effect if 'measurement_as_attribute' is set to 'true'
#   separator = "/"
#
#   ## Set measurement name as Riemann attribute 'measurement', instead of prepending it to the Riemann service name
#   # measurement_as_attribute = false
#
#   ## Send string metrics as Riemann event states.
#   ## Unless enabled all string metrics will be ignored
#   # string_as_state = false
#
#   ## A list of tag keys whose values get sent as Riemann tags.
#   ## If empty, all Telegraf tag values will be sent as tags
#   # tag_keys = ["telegraf","custom_tag"]
#
#   ## Additional Riemann tags to send.
#   # tags = ["telegraf-output"]
#
#   ## Description for Riemann event
#   # description_text = "metrics collected from telegraf"
#
#   ## Riemann client write timeout, defaults to "5s" if not set.
#   # timeout = "5s"


# # Send aggregate metrics to Sensu Monitor
# [[outputs.sensu]]
#   ## BACKEND API URL is the Sensu Backend API root URL to send metrics to
#   ## (protocol, host, and port only). The output plugin will automatically
#   ## append the corresponding backend API path
#   ## /api/core/v2/namespaces/:entity_namespace/events/:entity_name/:check_name).
#   ##
#   ## Backend Events API reference:
#   ## https://docs.sensu.io/sensu-go/latest/api/events/
#   ##
#   ## AGENT API URL is the Sensu Agent API root URL to send metrics to
#   ## (protocol, host, and port only). The output plugin will automatically
#   ## append the correspeonding agent API path (/events).
#   ##
#   ## Agent API Events API reference:
#   ## https://docs.sensu.io/sensu-go/latest/api/events/
#   ##
#   ## NOTE: if backend_api_url and agent_api_url and api_key are set, the output
#   ## plugin will use backend_api_url. If backend_api_url and agent_api_url are
#   ## not provided, the output plugin will default to use an agent_api_url of
#   ## http://127.0.0.1:3031
#   ##
#   # backend_api_url = "http://127.0.0.1:8080"
#   # agent_api_url = "http://127.0.0.1:3031"
#
#   ## API KEY is the Sensu Backend API token
#   ## Generate a new API token via:
#   ##
#   ## $ sensuctl cluster-role create telegraf --verb create --resource events,entities
#   ## $ sensuctl cluster-role-binding create telegraf --cluster-role telegraf --group telegraf
#   ## $ sensuctl user create telegraf --group telegraf --password REDACTED
#   ## $ sensuctl api-key grant telegraf
#   ##
#   ## For more information on Sensu RBAC profiles & API tokens, please visit:
#   ## - https://docs.sensu.io/sensu-go/latest/reference/rbac/
#   ## - https://docs.sensu.io/sensu-go/latest/reference/apikeys/
#   ##
#   # api_key = "${SENSU_API_KEY}"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Timeout for HTTP message
#   # timeout = "5s"
#
#   ## HTTP Content-Encoding for write request body, can be set to "gzip" to
#   ## compress body or "identity" to apply no encoding.
#   # content_encoding = "identity"
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   ## Sensu Event details
#   ##
#   ## Below are the event details to be sent to Sensu.  The main portions of the
#   ## event are the check, entity, and metrics specifications. For more information
#   ## on Sensu events and its components, please visit:
#   ## - Events - https://docs.sensu.io/sensu-go/latest/reference/events
#   ## - Checks -  https://docs.sensu.io/sensu-go/latest/reference/checks
#   ## - Entities - https://docs.sensu.io/sensu-go/latest/reference/entities
#   ## - Metrics - https://docs.sensu.io/sensu-go/latest/reference/events#metrics
#   ##
#   ## Check specification
#   ## The check name is the name to give the Sensu check associated with the event
#   ## created. This maps to check.metadata.name in the event.
#   [outputs.sensu.check]
#     name = "telegraf"
#
#   ## Entity specification
#   ## Configure the entity name and namespace, if necessary. This will be part of
#   ## the entity.metadata in the event.
#   ##
#   ## NOTE: if the output plugin is configured to send events to a
#   ## backend_api_url and entity_name is not set, the value returned by
#   ## os.Hostname() will be used; if the output plugin is configured to send
#   ## events to an agent_api_url, entity_name and entity_namespace are not used.
#   # [outputs.sensu.entity]
#   #   name = "server-01"
#   #   namespace = "default"
#
#   ## Metrics specification
#   ## Configure the tags for the metrics that are sent as part of the Sensu event
#   # [outputs.sensu.tags]
#   #   source = "telegraf"
#
#   ## Configure the handler(s) for processing the provided metrics
#   # [outputs.sensu.metrics]
#   #   handlers = ["influxdb","elasticsearch"]


# # Send metrics and events to SignalFx
# [[outputs.signalfx]]
#   ## SignalFx Org Access Token
#   access_token = "my-secret-token"
#
#   ## The SignalFx realm that your organization resides in
#   signalfx_realm = "us9"  # Required if ingest_url is not set
#
#   ## You can optionally provide a custom ingest url instead of the
#   ## signalfx_realm option above if you are using a gateway or proxy
#   ## instance.  This option takes precedence over signalfx_realm.
#   ingest_url = "https://my-custom-ingest/"
#
#   ## Event typed metrics are omitted by default,
#   ## If you require an event typed metric you must specify the
#   ## metric name in the following list.
#   included_event_names = ["plugin.metric_name"]


# # Generic socket writer capable of handling multiple socket types.
# [[outputs.socket_writer]]
#   ## URL to connect to
#   # address = "tcp://127.0.0.1:8094"
#   # address = "tcp://example.com:http"
#   # address = "tcp4://127.0.0.1:8094"
#   # address = "tcp6://127.0.0.1:8094"
#   # address = "tcp6://[2001:db8::1]:8094"
#   # address = "udp://127.0.0.1:8094"
#   # address = "udp4://127.0.0.1:8094"
#   # address = "udp6://127.0.0.1:8094"
#   # address = "unix:///tmp/telegraf.sock"
#   # address = "unixgram:///tmp/telegraf.sock"
#   # address = "vsock://cid:port"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Period between keep alive probes.
#   ## Only applies to TCP sockets.
#   ## 0 disables keep alive probes.
#   ## Defaults to the OS configuration.
#   # keep_alive_period = "5m"
#
#   ## Content encoding for message payloads, can be set to "gzip" or to
#   ## "identity" to apply no encoding.
#   ##
#   # content_encoding = "identity"
#
#   ## Data format to generate.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = "influx"


# # Save metrics to an SQL Database
# [[outputs.sql]]
#   ## Database driver
#   ## Valid options: mssql (Microsoft SQL Server), mysql (MySQL), pgx (Postgres),
#   ##  sqlite (SQLite3), snowflake (snowflake.com) clickhouse (ClickHouse)
#   driver = ""
#
#   ## Data source name
#   ## The format of the data source name is different for each database driver.
#   ## See the plugin readme for details.
#   data_source_name = ""
#
#   ## Timestamp column name, set to empty to ignore the timestamp
#   # timestamp_column = "timestamp"
#
#   ## Table creation template
#   ## Available template variables:
#   ##  {TABLE} - table name as a quoted identifier
#   ##  {TABLELITERAL} - table name as a quoted string literal
#   ##  {COLUMNS} - column definitions (list of quoted identifiers and types)
#   ##  {TAG_COLUMN_NAMES} - tag column definitions (list of quoted identifiers)
#   ##  {TIMESTAMP_COLUMN_NAME} - the name of the time stamp column, as configured above
#   # table_template = "CREATE TABLE {TABLE}({COLUMNS})"
#   ## NOTE: For the clickhouse driver the default is:
#   # table_template = "CREATE TABLE {TABLE}({COLUMNS}) ORDER BY ({TAG_COLUMN_NAMES}, {TIMESTAMP_COLUMN_NAME})"
#
#   ## Table existence check template
#   ## Available template variables:
#   ##  {TABLE} - tablename as a quoted identifier
#   # table_exists_template = "SELECT 1 FROM {TABLE} LIMIT 1"
#
#   ## Table update template, available template variables:
#   ##  {TABLE} - table name as a quoted identifier
#   ##  {COLUMN} - column definition (quoted identifier and type)
#   ## NOTE: Ensure the user (you're using to write to the database) has necessary permissions
#   ##
#   ## Use the following setting for automatically adding columns:
#   ## table_update_template = "ALTER TABLE {TABLE} ADD COLUMN {COLUMN}"
#   # table_update_template = ""
#
#   ## Initialization SQL
#   # init_sql = ""
#
#   ## Send metrics with the same columns and the same table as batches using prepared statements
#   # batch_transactions = false
#
#   ## Maximum amount of time a connection may be idle. "0s" means connections are
#   ## never closed due to idle time.
#   # connection_max_idle_time = "0s"
#
#   ## Maximum amount of time a connection may be reused. "0s" means connections
#   ## are never closed due to age.
#   # connection_max_lifetime = "0s"
#
#   ## Maximum number of connections in the idle connection pool. 0 means unlimited.
#   # connection_max_idle = 2
#
#   ## Maximum number of open connections to the database. 0 means unlimited.
#   # connection_max_open = 0
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   ## Metric type to SQL type conversion
#   ## The values on the left are the data types Telegraf has and the values on
#   ## the right are the data types Telegraf will use when sending to a database.
#   ##
#   ## The database values used must be data types the destination database
#   ## understands. It is up to the user to ensure that the selected data type is
#   ## available in the database they are using. Refer to your database
#   ## documentation for what data types are available and supported.
#   #[outputs.sql.convert]
#   #  integer              = "INT"
#   #  real                 = "DOUBLE"
#   #  text                 = "TEXT"
#   #  timestamp            = "TIMESTAMP"
#   #  defaultvalue         = "TEXT"
#   #  unsigned             = "UNSIGNED"
#   #  bool                 = "BOOL"
#   #  ## This setting controls the behavior of the unsigned value. By default the
#   #  ## setting will take the integer value and append the unsigned value to it. The other
#   #  ## option is "literal", which will use the actual value the user provides to
#   #  ## the unsigned option. This is useful for a database like ClickHouse where
#   #  ## the unsigned value should use a value like "uint64".
#   #  # conversion_style = "unsigned_suffix"


# # Configuration for Google Cloud Stackdriver to send metrics to
# [[outputs.stackdriver]]
#   ## GCP Project
#   project = "erudite-bloom-151019"
#
#   ## Quota Project
#   ## Specifies the Google Cloud project that should be billed for metric ingestion.
#   ## If omitted, the quota is charged to the service account’s default project.
#   ## This is useful when sending metrics to multiple projects using a single service account.
#   ## The caller must have the `serviceusage.services.use` permission on the specified project.
#   # quota_project = ""
#
#   ## The namespace for the metric descriptor
#   ## This is optional and users are encouraged to set the namespace as a
#   ## resource label instead. If omitted it is not included in the metric name.
#   namespace = "telegraf"
#
#   ## Metric Type Prefix
#   ## The DNS name used with the metric type as a prefix.
#   # metric_type_prefix = "custom.googleapis.com"
#
#   ## Metric Name Format
#   ## Specifies the layout of the metric name, choose from:
#   ##  * path: 'metric_type_prefix_namespace_name_key'
#   ##  * official: 'metric_type_prefix/namespace_name_key/kind'
#   # metric_name_format = "path"
#
#   ## Metric Data Type
#   ## By default, telegraf will use whatever type the metric comes in as.
#   ## However, for some use cases, forcing int64, may be preferred for values:
#   ##   * source: use whatever was passed in
#   ##   * double: preferred datatype to allow queries by PromQL.
#   # metric_data_type = "source"
#
#   ## Tags as resource labels
#   ## Tags defined in this option, when they exist, are added as a resource
#   ## label and not included as a metric label. The values from tags override
#   ## the values defined under the resource_labels config options.
#   # tags_as_resource_label = []
#
#   ## Custom resource type
#   # resource_type = "generic_node"
#
#   ## Override metric type by metric name
#   ## Metric names matching the values here, globbing supported, will have the
#   ## metric type set to the corresponding type.
#   # metric_counter = []
#   # metric_gauge = []
#   # metric_histogram = []
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   ## Additional resource labels
#   # [outputs.stackdriver.resource_labels]
#   #   node_id = "$HOSTNAME"
#   #   namespace = "myapp"
#   #   location = "eu-north0"


# # Configuration for active mq with stomp protocol to send metrics to
# [[outputs.stomp]]
#   host = "localhost:61613"
#
#   ## Queue name for producer messages
#   queueName = "telegraf"
#
#   ## Username and password if required by the Active MQ server.
#   # username = ""
#   # password = ""
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Data format to output.
#   data_format = "json"


# # A plugin that can send metrics to Sumo Logic HTTP metric collector.
# [[outputs.sumologic]]
#   ## Unique URL generated for your HTTP Metrics Source.
#   ## This is the address to send metrics to.
#   # url = "https://events.sumologic.net/receiver/v1/http/<UniqueHTTPCollectorCode>"
#
#   ## Data format to be used for sending metrics.
#   ## This will set the "Content-Type" header accordingly.
#   ## Currently supported formats:
#   ## * graphite - for Content-Type of application/vnd.sumologic.graphite
#   ## * carbon2 - for Content-Type of application/vnd.sumologic.carbon2
#   ## * prometheus - for Content-Type of application/vnd.sumologic.prometheus
#   ##
#   ## More information can be found at:
#   ## https://help.sumologic.com/03Send-Data/Sources/02Sources-for-Hosted-Collectors/HTTP-Source/Upload-Metrics-to-an-HTTP-Source#content-type-headers-for-metrics
#   ##
#   ## NOTE:
#   ## When unset, telegraf will by default use the influx serializer which is currently unsupported
#   ## in HTTP Source.
#   data_format = "carbon2"
#
#   ## Timeout used for HTTP request
#   # timeout = "5s"
#
#   ## Max HTTP request body size in bytes before compression (if applied).
#   ## By default 1MB is recommended.
#   ## NOTE:
#   ## Bear in mind that in some serializer a metric even though serialized to multiple
#   ## lines cannot be split any further so setting this very low might not work
#   ## as expected.
#   # max_request_body_size = 1000000
#
#   ## Additional, Sumo specific options.
#   ## Full list can be found here:
#   ## https://help.sumologic.com/03Send-Data/Sources/02Sources-for-Hosted-Collectors/HTTP-Source/Upload-Metrics-to-an-HTTP-Source#supported-http-headers
#
#   ## Desired source name.
#   ## Useful if you want to override the source name configured for the source.
#   # source_name = ""
#
#   ## Desired host name.
#   ## Useful if you want to override the source host configured for the source.
#   # source_host = ""
#
#   ## Desired source category.
#   ## Useful if you want to override the source category configured for the source.
#   # source_category = ""
#
#   ## Comma-separated key=value list of dimensions to apply to every metric.
#   ## Custom dimensions will allow you to query your metrics at a more granular level.
#   # dimensions = ""


# # Configuration for Syslog server to send metrics to
# [[outputs.syslog]]
#   ## URL to connect to
#   ## ex: address = "tcp://127.0.0.1:8094"
#   ## ex: address = "tcp4://127.0.0.1:8094"
#   ## ex: address = "tcp6://127.0.0.1:8094"
#   ## ex: address = "tcp6://[2001:db8::1]:8094"
#   ## ex: address = "udp://127.0.0.1:8094"
#   ## ex: address = "udp4://127.0.0.1:8094"
#   ## ex: address = "udp6://127.0.0.1:8094"
#   address = "tcp://127.0.0.1:8094"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Period between keep alive probes.
#   ## Only applies to TCP sockets.
#   ## 0 disables keep alive probes.
#   ## Defaults to the OS configuration.
#   # keep_alive_period = "5m"
#
#   ## The framing technique with which it is expected that messages are
#   ## transported (default = "octet-counting").  Whether the messages come
#   ## using the octet-counting (RFC5425#section-4.3.1, RFC6587#section-3.4.1),
#   ## or the non-transparent framing technique (RFC6587#section-3.4.2).  Must
#   ## be one of "octet-counting", "non-transparent".
#   # framing = "octet-counting"
#
#   ## The trailer to be expected in case of non-transparent framing (default = "LF").
#   ## Must be one of "LF", or "NUL".
#   # trailer = "LF"
#
#   ## SD-PARAMs settings
#   ## Syslog messages can contain key/value pairs within zero or more
#   ## structured data sections.  For each unrecognized metric tag/field a
#   ## SD-PARAMS is created.
#   ##
#   ## Example:
#   ##   [[outputs.syslog]]
#   ##     sdparam_separator = "_"
#   ##     default_sdid = "default@32473"
#   ##     sdids = ["foo@123", "bar@456"]
#   ##
#   ##   input => xyzzy,x=y foo@123_value=42,bar@456_value2=84,something_else=1
#   ##   output (structured data only) => [foo@123 value=42][bar@456 value2=84][default@32473 something_else=1 x=y]
#
#   ## SD-PARAMs separator between the sdid and tag/field key (default = "_")
#   # sdparam_separator = "_"
#
#   ## Default sdid used for tags/fields that don't contain a prefix defined in
#   ## the explicit sdids setting below If no default is specified, no SD-PARAMs
#   ## will be used for unrecognized field.
#   # default_sdid = "default@32473"
#
#   ## List of explicit prefixes to extract from tag/field keys and use as the
#   ## SDID, if they match (see above example for more details):
#   # sdids = ["foo@123", "bar@456"]
#
#   ## Default severity value. Severity and Facility are used to calculate the
#   ## message PRI value (RFC5424#section-6.2.1).  Used when no metric field
#   ## with key "severity_code" is defined.  If unset, 5 (notice) is the default
#   # default_severity_code = 5
#
#   ## Default facility value. Facility and Severity are used to calculate the
#   ## message PRI value (RFC5424#section-6.2.1).  Used when no metric field with
#   ## key "facility_code" is defined.  If unset, 1 (user-level) is the default
#   # default_facility_code = 1
#
#   ## Default APP-NAME value (RFC5424#section-6.2.5)
#   ## Used when no metric tag with key "appname" is defined.
#   ## If unset, "Telegraf" is the default
#   # default_appname = "Telegraf"


# # Configuration for sending metrics to Amazon Timestream.
# [[outputs.timestream]]
#   ## Amazon Region
#   region = "us-east-1"
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order:
#   ## 1) Web identity provider credentials via STS if role_arn and
#   ##    web_identity_token_file are specified
#   ## 2) Assumed credentials via STS if role_arn is specified
#   ## 3) explicit credentials from 'access_key' and 'secret_key'
#   ## 4) shared profile from 'profile'
#   ## 5) environment variables
#   ## 6) shared credentials file
#   ## 7) EC2 Instance Profile
#   #access_key = ""
#   #secret_key = ""
#   #token = ""
#   #role_arn = ""
#   #web_identity_token_file = ""
#   #role_session_name = ""
#   #profile = ""
#   #shared_credential_file = ""
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = "http://localhost:8000"
#   # endpoint_url = ""
#
#   ## Timestream database where the metrics will be inserted.
#   ## The database must exist prior to starting Telegraf.
#   database_name = "yourDatabaseNameHere"
#
#   ## Specifies if the plugin should describe the Timestream database upon
#   ## starting to validate if it has access, necessary permissions, connection,
#   ## etc., as a safety check. If the describe operation fails, the plugin will
#   ## not start and therefore the Telegraf agent will not start.
#   describe_database_on_start = false
#
#   ## Specifies how the data is organized in Timestream.
#   ## Valid values are: single-table, multi-table.
#   ## When mapping_mode is set to single-table, all of the data is stored in a
#   ## single table. When mapping_mode is set to multi-table, the data is
#   ## organized and stored in multiple tables. The default is multi-table.
#   mapping_mode = "multi-table"
#
#   ## Specifies if the plugin should create the table, if it doesn't exist.
#   create_table_if_not_exists = true
#
#   ## Specifies the Timestream table magnetic store retention period in days.
#   ## Check Timestream documentation for more details.
#   ## NOTE: This property is valid when create_table_if_not_exists = true.
#   create_table_magnetic_store_retention_period_in_days = 365
#
#   ## Specifies the Timestream table memory store retention period in hours.
#   ## Check Timestream documentation for more details.
#   ## NOTE: This property is valid when create_table_if_not_exists = true.
#   create_table_memory_store_retention_period_in_hours = 24
#
#   ## Specifies how the data is written into Timestream.
#   ## Valid values are: true, false
#   ## When use_multi_measure_records is set to true, all of the tags and fields
#   ## are stored as a single row in a Timestream table.
#   ## When use_multi_measure_record is set to false, Timestream stores each field
#   ## in a separate table row, thereby storing the tags multiple times (once for
#   ## each field). The recommended setting is true. The default is false.
#   use_multi_measure_records = "false"
#
#   ## Specifies the measure_name to use when sending multi-measure records.
#   ## NOTE: This property is valid when use_multi_measure_records=true and
#   ## mapping_mode=multi-table
#   measure_name_for_multi_measure_records = "telegraf_measure"
#
#   ## Specifies the name of the table to write data into
#   ## NOTE: This property is valid when mapping_mode=single-table.
#   # single_table_name = ""
#
#   ## Specifies the name of dimension when all of the data is being stored in a
#   ## single table and the measurement name is transformed into the dimension
#   ## value (see Mapping data from Influx to Timestream for details)
#   ## NOTE: This property is valid when mapping_mode=single-table.
#   # single_table_dimension_name_for_telegraf_measurement_name = "namespace"
#
#   ## Only valid and optional if create_table_if_not_exists = true
#   ## Specifies the Timestream table tags.
#   ## Check Timestream documentation for more details
#   # create_table_tags = { "foo" = "bar", "environment" = "dev"}
#
#   ## Specify the maximum number of parallel go routines to ingest/write data
#   ## If not specified, defaulted to 1 go routines
#   max_write_go_routines = 25


# # Write metrics to Warp 10
# [[outputs.warp10]]
#   # Prefix to add to the measurement.
#   prefix = "telegraf."
#
#   # URL of the Warp 10 server
#   warp_url = "http://localhost:8080"
#
#   # Write token to access your app on warp 10
#   token = "Token"
#
#   # Warp 10 query timeout
#   # timeout = "15s"
#
#   ## Print Warp 10 error body
#   # print_error_body = false
#
#   ## Max string error size
#   # max_string_error_size = 511
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# [[outputs.wavefront]]
#   ## URL for Wavefront API or Wavefront proxy instance
#   ## Direct Ingestion via Wavefront API requires authentication. See below.
#   url = "https://metrics.wavefront.com"
#
#   ## Maximum number of metrics to send per HTTP request. This value should be
#   ## higher than the `metric_batch_size`. Values higher than 40,000 are not
#   ## recommended.
#   # http_maximum_batch_size = 10000
#
#   ## Prefix for metrics keys
#   # prefix = "my.specific.prefix."
#
#   ## Use "value" for name of simple fields
#   # simple_fields = false
#
#   ## character to use between metric and field name
#   # metric_separator = "."
#
#   ## Convert metric name paths to use metricSeparator character
#   ## When true will convert all _ (underscore) characters in final metric name.
#   # convert_paths = true
#
#   ## Use Strict rules to sanitize metric and tag names from invalid characters
#   ## When enabled forward slash (/) and comma (,) will be accepted
#   # use_strict = false
#
#   ## Use Regex to sanitize metric and tag names from invalid characters
#   ## Regex is more thorough, but significantly slower.
#   # use_regex = false
#
#   ## Tags to use as the source name for Wavefront ("host" if none is found)
#   # source_override = ["hostname", "address", "agent_host", "node_host"]
#
#   ## Convert boolean values to numeric values, with false -> 0.0 and true -> 1.0
#   # convert_bool = true
#
#   ## Truncate metric tags to a total of 254 characters for the tag name value
#   ## Wavefront will reject any data point exceeding this limit if not truncated
#   ## Defaults to 'false' to provide backwards compatibility.
#   # truncate_tags = false
#
#   ## Flush the internal buffers after each batch. This effectively bypasses the
#   ## background sending of metrics normally done by the Wavefront SDK. This can
#   ## be used if you are experiencing buffer overruns. The sending of metrics
#   ## will block for a longer time, but this will be handled gracefully by
#   ## internal buffering in Telegraf.
#   # immediate_flush = true
#
#   ## Send internal metrics (starting with `~sdk.go`) for valid, invalid, and
#   ## dropped metrics
#   # send_internal_metrics = true
#
#   ## Optional TLS Config
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable =
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## HTTP Timeout
#   # timeout="10s"
#
#   ## MaxIdleConns controls the maximum number of idle (keep-alive) connections
#   ## across all hosts. Zero means unlimited.
#   # max_idle_conn = 0
#
#   ## MaxIdleConnsPerHost, if non-zero, controls the maximum idle (keep-alive)
#   ## connections to keep per-host. If zero, DefaultMaxIdleConnsPerHost is used.
#   # max_idle_conn_per_host = 2
#
#   ## Idle (keep-alive) connection timeout
#   # idle_conn_timeout = 0
#
#   ## Authentication for Direct Ingestion.
#   ## Direct Ingestion requires one of: `token`,`auth_csp_api_token`, or
#   ## `auth_csp_client_credentials` (see https://docs.wavefront.com/csp_getting_started.html)
#   ## to learn more about using CSP credentials with Wavefront.
#   ## Not required if using a Wavefront proxy.
#
#   ## Wavefront API Token Authentication, ignored if using a Wavefront proxy
#   ## 1. Click the gear icon at the top right in the Wavefront UI.
#   ## 2. Click your account name (usually your email)
#   ## 3. Click *API access*.
#   # token = "YOUR_TOKEN"
#
#   ## Base URL used for authentication, ignored if using a Wavefront proxy or a
#   ## Wavefront API token.
#   # auth_csp_base_url=https://console.cloud.vmware.com
#
#   ## CSP API Token Authentication, ignored if using a Wavefront proxy
#   # auth_csp_api_token=CSP_API_TOKEN_HERE
#
#   ## CSP Client Credentials Authentication Information, ignored if using a
#   ## Wavefront proxy.
#   ## See also: https://docs.wavefront.com/csp_getting_started.html#whats-a-server-to-server-app
#   # [outputs.wavefront.auth_csp_client_credentials]
#   #  app_id=CSP_APP_ID_HERE
#   #  app_secret=CSP_APP_SECRET_HERE
#   #  org_id=CSP_ORG_ID_HERE


# # A plugin that can transmit metrics over WebSocket.
# [[outputs.websocket]]
#   ## URL is the address to send metrics to. Make sure ws or wss scheme is used.
#   url = "ws://127.0.0.1:3000/telegraf"
#
#   ## Timeouts (make sure read_timeout is larger than server ping interval or set to zero).
#   # connect_timeout = "30s"
#   # write_timeout = "30s"
#   # read_timeout = "30s"
#
#   ## Optionally turn on using text data frames (binary by default).
#   # use_text_frames = false
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Optional SOCKS5 proxy to use
#   # socks5_enabled = true
#   # socks5_address = "127.0.0.1:1080"
#   # socks5_username = "alice"
#   # socks5_password = "pass123"
#
#   ## Optional HTTP proxy to use
#   # use_system_proxy = false
#   # http_proxy_url = "http://localhost:8888"
#
#   ## Data format to output.
#   ## Each data format has it's own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = "influx"
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   ## Additional HTTP Upgrade headers
#   # [outputs.websocket.headers]
#   #   Authorization = "Bearer <TOKEN>"


# # Send aggregated metrics to Yandex.Cloud Monitoring
# [[outputs.yandex_cloud_monitoring]]
#   ## Timeout for HTTP writes.
#   # timeout = "20s"
#
#   ## Yandex.Cloud monitoring API endpoint. Normally should not be changed
#   # endpoint_url = "https://monitoring.api.cloud.yandex.net/monitoring/v2/data/write"
#
#   ## All user metrics should be sent with "custom" service specified. Normally should not be changed
#   # service = "custom"


# # Send metrics to Zabbix
# [[outputs.zabbix]]
#   ## Address and (optional) port of the Zabbix server
#   address = "zabbix.example.com:10051"
#
#   ## Send metrics as type "Zabbix agent (active)"
#   # agent_active = false
#
#   ## Add prefix to all keys sent to Zabbix.
#   # key_prefix = "telegraf."
#
#   ## Name of the tag that contains the host name. Used to set the host in Zabbix.
#   ## If the tag is not found, use the hostname of the system running Telegraf.
#   # host_tag = "host"
#
#   ## Skip measurement prefix to all keys sent to Zabbix.
#   # skip_measurement_prefix = false
#
#   ## This field will be sent as HostMetadata to Zabbix Server to autoregister the host.
#   ## To enable this feature, this option must be set to a value other than "".
#   # autoregister = ""
#
#   ## Interval to resend auto-registration data to Zabbix.
#   ## Only applies if autoregister feature is enabled.
#   ## This value is a lower limit, the actual resend should be triggered by the next flush interval.
#   # autoregister_resend_interval = "30m"
#
#   ## Interval to send LLD data to Zabbix.
#   ## This value is a lower limit, the actual resend should be triggered by the next flush interval.
#   # lld_send_interval = "10m"
#
#   ## Interval to delete stored LLD known data and start capturing it again.
#   ## This value is a lower limit, the actual resend should be triggered by the next flush interval.
#   # lld_clear_interval = "1h"


###############################################################################
#                            PROCESSOR PLUGINS                                #
###############################################################################


# # Attach AWS EC2 metadata to metrics
# [[processors.aws_ec2]]
#   ## Instance identity document tags to attach to metrics.
#   ## For more information see:
#   ## https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instance-identity-documents.html
#   ##
#   ## Available tags:
#   ## * accountId
#   ## * architecture
#   ## * availabilityZone
#   ## * billingProducts
#   ## * imageId
#   ## * instanceId
#   ## * instanceType
#   ## * kernelId
#   ## * pendingTime
#   ## * privateIp
#   ## * ramdiskId
#   ## * region
#   ## * version
#   # imds_tags = []
#
#   ## EC2 instance tags retrieved with DescribeTags action.
#   ## In case tag is empty upon retrieval it's omitted when tagging metrics.
#   ## Note that in order for this to work, role attached to EC2 instance or AWS
#   ## credentials available from the environment must have a policy attached, that
#   ## allows ec2:DescribeTags.
#   ##
#   ## For more information see:
#   ## https://docs.aws.amazon.com/AWSEC2/latest/APIReference/API_DescribeTags.html
#   # ec2_tags = []
#
#   ## Paths to instance metadata information to attach to the metrics.
#   ## Specify the full path without the base-path e.g. `tags/instance/Name`.
#   ##
#   ## For more information see:
#   ## https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-instance-metadata.html
#   # metadata_paths = []
#
#   ## Allows to convert metadata tag-names to canonical names representing the
#   ## full path with slashes ('/') being replaces with underscores. By default,
#   ## only the last path element is used to name the tag.
#   # canonical_metadata_tags = false
#
#   ## Timeout for http requests made by against aws ec2 metadata endpoint.
#   # timeout = "10s"
#
#   ## ordered controls whether or not the metrics need to stay in the same order
#   ## this plugin received them in. If false, this plugin will change the order
#   ## with requests hitting cached results moving through immediately and not
#   ## waiting on slower lookups. This may cause issues for you if you are
#   ## depending on the order of metrics staying the same. If so, set this to true.
#   ## Keeping the metrics ordered may be slightly slower.
#   # ordered = false
#
#   ## max_parallel_calls is the maximum number of AWS API calls to be in flight
#   ## at the same time.
#   ## It's probably best to keep this number fairly low.
#   # max_parallel_calls = 10
#
#   ## cache_ttl determines how long each cached item will remain in the cache before
#   ## it is removed and subsequently needs to be queried for from the AWS API. By
#   ## default, no items are cached.
#   # cache_ttl = "0s"
#
#   ## tag_cache_size determines how many of the values which are found in imds_tags
#   ## or ec2_tags will be kept in memory for faster lookup on successive processing
#   ## of metrics. You may want to adjust this if you have excessively large numbers
#   ## of tags on your EC2 instances, and you are using the ec2_tags field. This
#   ## typically does not need to be changed when using the imds_tags field.
#   # tag_cache_size = 1000
#
#   ## log_cache_stats will emit a log line periodically to stdout with details of
#   ## cache entries, hits, misses, and evacuations since the last time stats were
#   ## emitted. This can be helpful in determining whether caching is being effective
#   ## in your environment. Stats are emitted every 30 seconds. By default, this
#   ## setting is disabled.


# ## Batch metrics into separate batches by adding a tag indicating the batch index.
# [[processors.batch]]
#   ## The name of the tag to use for adding the batch index
#   batch_tag = "my_batch"
#
#   ## The number of batches to create
#   batches = 16
#
#   ## Do not assign metrics with an existing batch assignment to a
#   ## different batch.
#   # skip_existing = false


# # Apply metric modifications using override semantics.
# [[processors.clone]]
#   ## All modifications on inputs and aggregators can be overridden:
#   # name_override = "new_name"
#   # name_prefix = "new_name_prefix"
#   # name_suffix = "new_name_suffix"
#
#   ## Tags to be added (all values must be strings)
#   # [processors.clone.tags]
#   #   additional_tag = "tag_value"


# # Convert values to another metric value type
# [[processors.converter]]
#   ## Tags to convert
#   ##
#   ## The table key determines the target type, and the array of key-values
#   ## select the keys to convert.  The array may contain globs.
#   ##   <target-type> = [<tag-key>...]
#   [processors.converter.tags]
#     measurement = []
#     string = []
#     integer = []
#     unsigned = []
#     boolean = []
#     float = []
#
#     ## Optional tag to use as metric timestamp
#     # timestamp = []
#
#     ## Format of the timestamp determined by the tag above. This can be any of
#     ## "unix", "unix_ms", "unix_us", "unix_ns", or a valid Golang time format.
#     ## It is required, when using the timestamp option.
#     # timestamp_format = ""
#
#   ## Fields to convert
#   ##
#   ## The table key determines the target type, and the array of key-values
#   ## select the keys to convert.  The array may contain globs.
#   ##   <target-type> = [<field-key>...]
#   [processors.converter.fields]
#     measurement = []
#     tag = []
#     string = []
#     integer = []
#     unsigned = []
#     boolean = []
#     float = []
#
#     ## Optional field to use for converting base64 encoding of IEEE 754 Float32 values
#     ## (for example, data_json_content_state_openconfig-platform-psu:output-power":"RKeAAA==")
#     ## into a float32 value 1340
#     # base64_ieee_float32 = []
#
#     ## Optional field to use as metric timestamp
#     # timestamp = []
#
#     ## Format of the timestamp determined by the field above. This can be any
#     ## of "unix", "unix_ms", "unix_us", "unix_ns", or a valid Golang time
#     ## format. It is required, when using the timestamp option.
#     # timestamp_format = ""


# # Compute the cumulative sum of the given fields
# [[processors.cumulative_sum]]
#   ## Numerical fields to be processed (accepting wildcards)
#   # fields = ["*"]
#
#   ## Interval after which metrics are evicted from the cache and the
#   ## sum values are reset to zero. A zero or unset value will keep the
#   ## metric forever.
#   ## It is strongly recommended to set an expiry interval to avoid
#   ## growing memory usage when varying metric series are processed.


# # Dates measurements, tags, and fields that pass through this filter.
# [[processors.date]]
#   ## New tag to create
#   tag_key = "month"
#
#   ## New field to create (cannot set both field_key and tag_key)
#   # field_key = "month"
#
#   ## Date format string, must be a representation of the Go "reference time"
#   ## which is "Mon Jan 2 15:04:05 -0700 MST 2006".
#   date_format = "Jan"
#
#   ## If destination is a field, date format can also be one of
#   ## "unix", "unix_ms", "unix_us", or "unix_ns", which will insert an integer field.
#   # date_format = "unix"
#
#   ## Offset duration added to the date string when writing the new tag.
#   # date_offset = "0s"
#
#   ## Timezone to use when creating the tag or field using a reference time
#   ## string.  This can be set to one of "UTC", "Local", or to a location name
#   ## in the IANA Time Zone database.
#   ##   example: timezone = "America/Los_Angeles"
#   # timezone = "UTC"


# # Filter metrics with repeating field values
# [[processors.dedup]]
#   ## Maximum time to suppress output
#   dedup_interval = "600s"


# ## Set default fields and tags on your metric(s) when they are nil or empty
# [[processors.defaults]]
#   ## Ensures a set of fields or tags always exists on your metric(s) with their
#   ## respective default value.
#   ## For any given field/tag pair (key = default), if it's not set, a field/tag
#   ## is set on the metric with the specified default.
#   ##
#   ## A field is considered not set if it is nil on the incoming metric;
#   ## or it is not nil but its value is an empty string or is a string
#   ## of one or more spaces.
#   ##   <target-field> = <value>
#   [processors.defaults.fields]
#     field_1 = "bar"
#     time_idle = 0
#     is_error = true
#   ## A tag is considered not set if it is nil on the incoming metric;
#   ## or it is not nil but it is empty string or a string of one or
#   ## more spaces.
#   ## <target-tag> = <value>
#   [processors.defaults.tags]
#     tag_1 = "foo"


# # Map enum values according to given table.
# [[processors.enum]]
#   [[processors.enum.mapping]]
#     ## Names of the fields to map. Globs accepted.
#     fields = ["status"]
#
#     ## Name of the tags to map. Globs accepted.
#     # tags = ["status"]
#
#     ## Destination tag or field to be used for the mapped value.  By default the
#     ## source tag or field is used, overwriting the original value.
#     dest = "status_code"
#
#     ## Default value to be used for all values not contained in the mapping
#     ## table.  When unset and no match is found, the original field will remain
#     ## unmodified and the destination tag or field will not be created.
#     # default = 0
#
#     ## Table of mappings
#     [processors.enum.mapping.value_mappings]
#       green = 1
#       amber = 2
#       red = 3


# # Run executable as long-running processor plugin
# [[processors.execd]]
#   ## One program to run as daemon.
#   ## NOTE: process and each argument should each be their own string
#   ## eg: command = ["/path/to/your_program", "arg1", "arg2"]
#   command = ["cat"]
#
#   ## Environment variables
#   ## Array of "key=value" pairs to pass as environment variables
#   ## e.g. "KEY=value", "USERNAME=John Doe",
#   ## "LD_LIBRARY_PATH=/opt/custom/lib64:/usr/local/libs"
#   # environment = []
#
#   ## Delay before the process is restarted after an unexpected termination
#   # restart_delay = "10s"
#
#   ## Serialization format for communicating with the executed program
#   ## Please note that the corresponding data-format must exist both in
#   ## parsers and serializers
#   # data_format = "influx"


# # Performs file path manipulations on tags and fields
# [[processors.filepath]]
#   ## Treat the tag value as a path and convert it to its last element, storing the result in a new tag
#   # [[processors.filepath.basename]]
#   #   tag = "path"
#   #   dest = "basepath"
#
#   ## Treat the field value as a path and keep all but the last element of path, typically the path's directory
#   # [[processors.filepath.dirname]]
#   #   field = "path"
#
#   ## Treat the tag value as a path, converting it to its the last element without its suffix
#   # [[processors.filepath.stem]]
#   #   tag = "path"
#
#   ## Treat the tag value as a path, converting it to the shortest path name equivalent
#   ## to path by purely lexical processing
#   # [[processors.filepath.clean]]
#   #   tag = "path"
#
#   ## Treat the tag value as a path, converting it to a relative path that is lexically
#   ## equivalent to the source path when joined to 'base_path'
#   # [[processors.filepath.rel]]
#   #   tag = "path"
#   #   base_path = "/var/log"
#
#   ## Treat the tag value as a path, replacing each separator character in path with a '/' character. Has only
#   ## effect on Windows
#   # [[processors.filepath.toslash]]
#   #   tag = "path"


# # Filter metrics by the given criteria
# [[processors.filter]]
#     ## Default action if no rule applies
#     # default = "pass"
#
#     ## Rules to apply on the incoming metrics (multiple rules are possible)
#     ## The rules are evaluated in order and the first matching rule is applied.
#     ## In case no rule matches the "default" is applied.
#     ## All filter criteria in a rule must apply for the rule to match the metric.
#     ## The criteria are combined by a logical AND. If a criterion is
#     ## omitted, it is NOT applied at all and ignored.
#     [[processors.filter.rule]]
#         ## List of metric names to match including glob expressions
#         # name = []
#
#         ## List of tag key/values pairs to match including glob expressions
#         ## ALL given tags keys must exist and at least one value must match
#         ## for the metric to match the rule.
#         # tags = {}
#
#         ## List of field keys to match including glob expressions
#         ## At least one field must exist for the metric to match the rule.
#         # fields = []
#
#         ## Action to apply for this rule
#         ## "pass" will keep the metric and pass it on, while "drop" will remove
#         ## the metric
#         # action = "drop"


# # Add a tag of the network interface name looked up over SNMP by interface number
# [[processors.ifname]]
#   ## Name of tag holding the interface number
#   # tag = "ifIndex"
#
#   ## Name of output tag where service name will be added
#   # dest = "ifName"
#
#   ## Name of tag of the SNMP agent to request the interface name from
#   ##   example: agent = "source"
#   # agent = "agent"
#
#   ## Timeout for each request.
#   # timeout = "5s"
#
#   ## SNMP version; can be 1, 2, or 3.
#   # version = 2
#
#   ## SNMP community string.
#   # community = "public"
#
#   ## Number of retries to attempt.
#   # retries = 3
#
#   ## The GETBULK max-repetitions parameter.
#   # max_repetitions = 10
#
#   ## SNMPv3 authentication and encryption options.
#   ##
#   ## Security Name.
#   # sec_name = "myuser"
#   ## Authentication protocol; one of "MD5", "SHA", or "".
#   # auth_protocol = "MD5"
#   ## Authentication password.
#   # auth_password = "pass"
#   ## Security Level; one of "noAuthNoPriv", "authNoPriv", or "authPriv".
#   # sec_level = "authNoPriv"
#   ## Context Name.
#   # context_name = ""
#   ## Privacy protocol used for encrypted messages; one of "DES", "AES" or "".
#   # priv_protocol = ""
#   ## Privacy password used for encrypted messages.
#   # priv_password = ""
#
#   ## max_parallel_lookups is the maximum number of SNMP requests to
#   ## make at the same time.
#   # max_parallel_lookups = 100
#
#   ## ordered controls whether or not the metrics need to stay in the
#   ## same order this plugin received them in. If false, this plugin
#   ## may change the order when data is cached.  If you need metrics to
#   ## stay in order set this to true.  keeping the metrics ordered may
#   ## be slightly slower
#   # ordered = false
#
#   ## cache_ttl is the amount of time interface names are cached for a
#   ## given agent.  After this period elapses if names are needed they
#   ## will be retrieved again.
#   # cache_ttl = "8h"


# # Lookup a key derived from metrics in a static file
# [[processors.lookup]]
#   ## List of files containing the lookup-table
#   files = ["path/to/lut.json", "path/to/another_lut.json"]
#
#   ## Format of the lookup file(s)
#   ## Available formats are:
#   ##    json               -- JSON file with 'key: {tag-key: tag-value, ...}' mapping
#   ##    csv_key_name_value -- CSV file with 'key,tag-key,tag-value,...,tag-key,tag-value' mapping
#   ##    csv_key_values     -- CSV file with a header containing tag-names and
#   ##                          rows with 'key,tag-value,...,tag-value' mappings
#   # format = "json"
#
#   ## Template for generating the lookup-key from the metric.
#   ## This is a Golang template (see https://pkg.go.dev/text/template) to
#   ## access the metric name (`{{.Name}}`), a tag value (`{{.Tag "name"}}`) or
#   ## a field value (`{{.Field "name"}}`).
#   key = '{{.Tag "host"}}'


# # Adds noise to numerical fields
# [[processors.noise]]
#   ## Specified the type of the random distribution.
#   ## Can be "laplacian", "gaussian" or "uniform".
#   # type = "laplacian
#
#   ## Center of the distribution.
#   ## Only used for Laplacian and Gaussian distributions.
#   # mu = 0.0
#
#   ## Scale parameter for the Laplacian or Gaussian distribution
#   # scale = 1.0
#
#   ## Upper and lower bound of the Uniform distribution
#   # min = -1.0
#   # max = 1.0
#
#   ## Apply the noise only to numeric fields matching the filter criteria below.
#   ## Excludes takes precedence over includes.
#   # include_fields = []
#   # exclude_fields = []


# # Apply metric modifications using override semantics.
# [[processors.override]]
#   ## All modifications on inputs and aggregators can be overridden:
#   # name_override = "new_name"
#   # name_prefix = "new_name_prefix"
#   # name_suffix = "new_name_suffix"
#
#   ## Tags to be added (all values must be strings)
#   # [processors.override.tags]
#   #   additional_tag = "tag_value"


# # Parse a value in a specified field(s)/tag(s) and add the result in a new metric
# [[processors.parser]]
#   ## The name of the fields whose value will be parsed.
#   parse_fields = ["message"]
#
#   ## Fields to base64 decode.
#   ## These fields do not need to be specified in parse_fields.
#   ## Fields specified here will have base64 decode applied to them.
#   # parse_fields_base64 = []
#
#   ## The name of the tags whose value will be parsed.
#   # parse_tags = []
#
#   ## If true, incoming metrics are not emitted.
#   # drop_original = false
#
#   ## Merge Behavior
#   ## Only has effect when drop_original is set to false. Possible options
#   ## include:
#   ##  * override: emitted metrics are merged by overriding the original metric
#   ##    using the newly parsed metrics, but retains the original metric
#   ##    timestamp.
#   ##  * override-with-timestamp: the same as "override", but the timestamp is
#   ##    set based on the new metrics if present.
#   # merge = ""
#
#   ## The dataformat to be read from files
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Rotate a single valued metric into a multi field metric
# [[processors.pivot]]
#   ## Tag to use for naming the new field.
#   tag_key = "name"
#   ## Field to use as the value of the new field.
#   value_key = "value"


# # Given a tag/field of a TCP or UDP port number, add a tag/field of the service name looked up in the system services file
# [[processors.port_name]]
#   ## Name of tag holding the port number
#   # tag = "port"
#   ## Or name of the field holding the port number
#   # field = "port"
#
#   ## Name of output tag or field (depending on the source) where service name will be added
#   # dest = "service"
#
#   ## Default tcp or udp
#   # default_protocol = "tcp"
#
#   ## Tag containing the protocol (tcp or udp, case-insensitive)
#   # protocol_tag = "proto"
#
#   ## Field containing the protocol (tcp or udp, case-insensitive)
#   # protocol_field = "proto"


# # Print all metrics that pass through this filter.
# [[processors.printer]]
#   ## Maximum line length in bytes.  Useful only for debugging.
#   # influx_max_line_bytes = 0
#
#   ## When true, fields will be output in ascending lexical order.  Enabling
#   ## this option will result in decreased performance and is only recommended
#   ## when you need predictable ordering while debugging.
#   # influx_sort_fields = false
#
#   ## When true, Telegraf will output unsigned integers as unsigned values,
#   ## for example `42u`.  You will need a version of InfluxDB supporting unsigned
#   ## integer values.  Enabling this option will result in field type errors if
#   ## existing data has been written.
#   # influx_uint_support = false
#
#   ## When true, Telegraf will omit the timestamp on data to allow InfluxDB
#   ## to set the timestamp of the data during ingestion. This is generally NOT
#   ## what you want as it can lead to data points captured at different times
#   ## getting omitted due to similar data.
#   # influx_omit_timestamp = false


# # Transforms tag and field values as well as measurement, tag and field names with regex pattern
# [[processors.regex]]
#   namepass = ["nginx_requests"]
#
#   ## Tag value conversion(s). Multiple instances are allowed.
#   [[processors.regex.tags]]
#     ## Tag(s) to process with optional glob expressions such as '*'.
#     key = "resp_code"
#     ## Regular expression to match the tag value. If the value doesn't
#     ## match the tag is ignored.
#     pattern = "^(\\d)\\d\\d$"
#     ## Replacement expression defining the value of the target tag. You can
#     ## use regexp groups or named groups e.g. ${1} references the first group.
#     replacement = "${1}xx"
#     ## Name of the target tag defaulting to 'key' if not specified.
#     ## In case of wildcards being used in `key` the currently processed
#     ## tag-name is used as target.
#     # result_key = "method"
#     ## Appends the replacement to the target tag instead of overwriting it when
#     ## set to true.
#     # append = false
#
#   ## Field value conversion(s). Multiple instances are allowed.
#   [[processors.regex.fields]]
#     ## Field(s) to process with optional glob expressions such as '*'.
#     key = "request"
#     ## Regular expression to match the field value. If the value doesn't
#     ## match or the field doesn't contain a string the field is ignored.
#     pattern = "^/api(?P<method>/[\\w/]+)\\S*"
#     ## Replacement expression defining the value of the target field. You can
#     ## use regexp groups or named groups e.g. ${method} references the group
#     ## named "method".
#     replacement = "${method}"
#     ## Name of the target field defaulting to 'key' if not specified.
#     ## In case of wildcards being used in `key` the currently processed
#     ## field-name is used as target.
#     # result_key = "method"
#
#   ## Rename metric fields
#   [[processors.regex.field_rename]]
#     ## Regular expression to match on the field name
#     pattern = "^search_(\\w+)d$"
#     ## Replacement expression defining the name of the new field
#     replacement = "${1}"
#     ## If the new field name already exists, you can either "overwrite" the
#     ## existing one with the value of the renamed field OR you can "keep"
#     ## both the existing and source field.
#     # result_key = "keep"
#
#   ## Rename metric tags
#   [[processors.regex.tag_rename]]
#     ## Regular expression to match on a tag name
#     pattern = "^search_(\\w+)d$"
#     ## Replacement expression defining the name of the new tag
#     replacement = "${1}"
#     ## If the new tag name already exists, you can either "overwrite" the
#     ## existing one with the value of the renamed tag OR you can "keep"
#     ## both the existing and source tag.
#     # result_key = "keep"
#
#   ## Rename metrics
#   [[processors.regex.metric_rename]]
#     ## Regular expression to match on an metric name
#     pattern = "^search_(\\w+)d$"
#     ## Replacement expression defining the new name of the metric
#     replacement = "${1}"


# # Rename measurements, tags, and fields that pass through this filter.
# [[processors.rename]]
#   ## Specify one sub-table per rename operation.
#   [[processors.rename.replace]]
#     measurement = "network_interface_throughput"
#     dest = "throughput"
#
#   [[processors.rename.replace]]
#     tag = "hostname"
#     dest = "host"
#
#   [[processors.rename.replace]]
#     field = "lower"
#     dest = "min"
#
#   [[processors.rename.replace]]
#     field = "upper"
#     dest = "max"


# # ReverseDNS does a reverse lookup on IP addresses to retrieve the DNS name
# [[processors.reverse_dns]]
#   ## For optimal performance, you may want to limit which metrics are passed to this
#   ## processor. eg:
#   ## namepass = ["my_metric_*"]
#
#   ## cache_ttl is how long the dns entries should stay cached for.
#   ## generally longer is better, but if you expect a large number of diverse lookups
#   ## you'll want to consider memory use.
#   cache_ttl = "24h"
#
#   ## lookup_timeout is how long should you wait for a single dns request to respond.
#   ## this is also the maximum acceptable latency for a metric travelling through
#   ## the reverse_dns processor. After lookup_timeout is exceeded, a metric will
#   ## be passed on unaltered.
#   ## multiple simultaneous resolution requests for the same IP will only make a
#   ## single rDNS request, and they will all wait for the answer for this long.
#   lookup_timeout = "3s"
#
#   ## max_parallel_lookups is the maximum number of dns requests to be in flight
#   ## at the same time. Requesting hitting cached values do not count against this
#   ## total, and neither do mulptiple requests for the same IP.
#   ## It's probably best to keep this number fairly low.
#   max_parallel_lookups = 10
#
#   ## ordered controls whether or not the metrics need to stay in the same order
#   ## this plugin received them in. If false, this plugin will change the order
#   ## with requests hitting cached results moving through immediately and not
#   ## waiting on slower lookups. This may cause issues for you if you are
#   ## depending on the order of metrics staying the same. If so, set this to true.
#   ## keeping the metrics ordered may be slightly slower.
#   ordered = false
#
#   [[processors.reverse_dns.lookup]]
#     ## get the ip from the field "source_ip", and put the result in the field "source_name"
#     field = "source_ip"
#     dest = "source_name"
#
#   [[processors.reverse_dns.lookup]]
#     ## get the ip from the tag "destination_ip", and put the result in the tag
#     ## "destination_name".
#     tag = "destination_ip"
#     dest = "destination_name"
#
#     ## If you would prefer destination_name to be a field instead, you can use a
#     ## processors.converter after this one, specifying the order attribute.


# # Round numerical fields
# [[processors.round]]
#   ## Precision to round to.
#   ## A positive number indicates rounding to the right of the decimal separator (the fractional part).
#   ## A negative number indicates rounding to the left of the decimal separator.
#   # precision = 0
#
#   ## Round only numeric fields matching the filter criteria below.
#   ## Excludes takes precedence over includes.
#   # include_fields = ["*"]
#   # exclude_fields = []


# # Add the S2 Cell ID as a tag based on latitude and longitude fields
# [[processors.s2geo]]
#   ## The name of the lat and lon fields containing WGS-84 latitude and
#   ## longitude in decimal degrees.
#   # lat_field = "lat"
#   # lon_field = "lon"
#
#   ## New tag to create
#   # tag_key = "s2_cell_id"
#
#   ## Cell level (see https://s2geometry.io/resources/s2cell_statistics.html)
#   # cell_level = 9


# # Scale values with a predefined range to a different output range.
# [[processors.scale]]
#     ## It is possible to define multiple different scaling that can be applied
#     ## do different sets of fields. Each scaling expects the following
#     ## arguments:
#     ##   - input_minimum: Minimum expected input value
#     ##   - input_maximum: Maximum expected input value
#     ##   - output_minimum: Minimum desired output value
#     ##   - output_maximum: Maximum desired output value
#     ## alternatively you can specify a scaling with factor and offset
#     ##   - factor: factor to scale the input value with
#     ##   - offset: additive offset for value after scaling
#     ##   - fields: a list of field names (or filters) to apply this scaling to
#
#     ## Example: Scaling with minimum and maximum values
#     # [[processors.scale.scaling]]
#     #    input_minimum = 0.0
#     #    input_maximum = 1.0
#     #    output_minimum = 0.0
#     #    output_maximum = 100.0
#     #    fields = ["temperature1", "temperature2"]
#
#     ## Example: Scaling with factor and offset
#     # [[processors.scale.scaling]]
#     #    factor = 10.0
#     #    offset = -5.0
#     #    fields = ["voltage*"]


# # Lookup extra tags via SNMP based on the table index
# [[processors.snmp_lookup]]
#   ## Name of tag of the SNMP agent to do the lookup on
#   # agent_tag = "source"
#
#   ## Name of tag holding the table row index
#   # index_tag = "index"
#
#   ## Timeout for each request.
#   # timeout = "5s"
#
#   ## SNMP version; can be 1, 2, or 3.
#   # version = 2
#
#   ## SNMP community string.
#   # community = "public"
#
#   ## Number of retries to attempt.
#   # retries = 3
#
#   ## The GETBULK max-repetitions parameter.
#   # max_repetitions = 10
#
#   ## SNMPv3 authentication and encryption options.
#   ##
#   ## Security Name.
#   # sec_name = "myuser"
#   ## Authentication protocol; one of "MD5", "SHA", or "".
#   # auth_protocol = "MD5"
#   ## Authentication password.
#   # auth_password = "pass"
#   ## Security Level; one of "noAuthNoPriv", "authNoPriv", or "authPriv".
#   # sec_level = "authNoPriv"
#   ## Context Name.
#   # context_name = ""
#   ## Privacy protocol used for encrypted messages; one of "DES", "AES" or "".
#   # priv_protocol = ""
#   ## Privacy password used for encrypted messages.
#   # priv_password = ""
#
#   ## The maximum number of SNMP requests to make at the same time.
#   # max_parallel_lookups = 16
#
#   ## The amount of agents to cache entries for. If limit is reached,
#   ## oldest will be removed first. 0 means no limit.
#   # max_cache_entries = 100
#
#   ## Control whether the metrics need to stay in the same order this plugin
#   ## received them in. If false, this plugin may change the order when data is
#   ## cached. If you need metrics to stay in order set this to true. Keeping the
#   ## metrics ordered may be slightly slower.
#   # ordered = false
#
#   ## The amount of time entries are cached for a given agent. After this period
#   ## elapses if tags are needed they will be retrieved again.
#   # cache_ttl = "8h"
#
#   ## Minimum time between requests to an agent in case an index could not be
#   ## resolved. If set to zero no request on missing indices will be triggered.
#   # min_time_between_updates = "5m"
#
#   ## List of tags to be looked up.
#   [[processors.snmp_lookup.tag]]
#     ## Object identifier of the variable as a numeric or textual OID.
#     oid = "IF-MIB::ifName"
#
#     ## Name of the tag to create.  If not specified, it defaults to the value of 'oid'.
#     ## If 'oid' is numeric, an attempt to translate the numeric OID into a textual OID
#     ## will be made.
#     # name = ""
#
#     ## Apply one of the following conversions to the variable value:
#     ##   ipaddr:      Convert the value to an IP address.
#     ##   enum:        Convert the value according to its syntax in the MIB.
#     ##   displayhint: Format the value according to the textual convention in the MIB.
#     ##
#     # conversion = ""


# # Split a metric into one or more metrics with the specified field(s)/tag(s)
# [[processors.split]]
#   ## Keeps the original metric by default
#   # drop_original = false
#
#   ## Template for an output metric
#   ## Users can define multiple templates to split the original metric into
#   ## multiple, potentially overlapping, metrics.
#   [[processors.split.template]]
#     ## New metric name
#     name = ""
#
#     ## List of tag keys for this metric template, accepts globs, e.g. "*"
#     tags = []
#
#     ## List of field keys for this metric template, accepts globs, e.g. "*"
#     fields = []


# # Process metrics using a Starlark script
# [[processors.starlark]]
#   ## The Starlark source can be set as a string in this configuration file, or
#   ## by referencing a file containing the script.  Only one source or script
#   ## should be set at once.
#
#   ## Source of the Starlark script.
#   source = '''
# def apply(metric):
#   return metric
# '''
#
#   ## File containing a Starlark script.
#   # script = "/usr/local/bin/myscript.star"
#
#   ## The constants of the Starlark script.
#   # [processors.starlark.constants]
#   #   max_size = 10
#   #   threshold = 0.75
#   #   default_name = "Julia"
#   #   debug_mode = true


# # Perform string processing on tags, fields, and measurements
# [[processors.strings]]
#   ## Convert a field value to lowercase and store in a new field
#   # [[processors.strings.lowercase]]
#   #   field = "uri_stem"
#   #   dest = "uri_stem_normalised"
#
#   ## Convert a tag value to uppercase
#   # [[processors.strings.uppercase]]
#   #   tag = "method"
#
#   ## Convert a field value to titlecase
#   # [[processors.strings.titlecase]]
#   #   field = "status"
#
#   ## Trim leading and trailing whitespace using the default cutset
#   # [[processors.strings.trim]]
#   #   field = "message"
#
#   ## Trim leading characters in cutset
#   # [[processors.strings.trim_left]]
#   #   field = "message"
#   #   cutset = "\t"
#
#   ## Trim trailing characters in cutset
#   # [[processors.strings.trim_right]]
#   #   field = "message"
#   #   cutset = "\r\n"
#
#   ## Trim the given prefix from the field
#   # [[processors.strings.trim_prefix]]
#   #   field = "my_value"
#   #   prefix = "my_"
#
#   ## Trim the given suffix from the field
#   # [[processors.strings.trim_suffix]]
#   #   field = "read_count"
#   #   suffix = "_count"
#
#   ## Replace all non-overlapping instances of old with new
#   # [[processors.strings.replace]]
#   #   measurement = "*"
#   #   old = ":"
#   #   new = "_"
#
#   ## Trims strings based on width
#   # [[processors.strings.left]]
#   #   field = "message"
#   #   width = 10
#
#   ## Decode a base64 encoded utf-8 string
#   # [[processors.strings.base64decode]]
#   #   field = "message"
#
#   ## Sanitize a string to ensure it is a valid utf-8 string
#   ## Each run of invalid UTF-8 byte sequences is replaced by the replacement string, which may be empty
#   # [[processors.strings.valid_utf8]]
#   #   field = "message"
#   #   replacement = ""


# # Restricts the number of tags that can pass through this filter and chooses which tags to preserve when over the limit.
# [[processors.tag_limit]]
#   ## Maximum number of tags to preserve
#   limit = 3
#
#   ## List of tags to preferentially preserve
#   keep = ["environment", "region"]


# # Uses a Go template to create a new tag
# [[processors.template]]
#   ## Go template used to create the tag name of the output. In order to
#   ## ease TOML escaping requirements, you should use single quotes around
#   ## the template string.
#   tag = "topic"
#
#   ## Go template used to create the tag value of the output. In order to
#   ## ease TOML escaping requirements, you should use single quotes around
#   ## the template string.
#   template = '{{ .Tag "hostname" }}.{{ .Tag "level" }}'


# # Convert a timestamp field to other timestamp format
# [[processors.timestamp]]
#   ## Timestamp key to convert
#   ## Specify the field name that contains the timestamp to convert. The result
#   ## will replace the current field value.
#   field = ""
#
#   ## Timestamp Format
#   ## This defines the time layout used to interpret the source timestamp field.
#   ## The time must be `unix`, `unix_ms`, `unix_us`, `unix_ns`, or a time in Go
#   ## "reference time". For more information on Go "reference time". For more
#   ## see: https://golang.org/pkg/time/#Time.Format
#   source_timestamp_format = ""
#
#   ## Timestamp Timezone
#   ## Source timestamp timezone. If not set, assumed to be in UTC.
#   ## Options are as follows:
#   ##   1. UTC                 -- or unspecified will return timestamp in UTC
#   ##   2. Local               -- interpret based on machine localtime
#   ##   3. "America/New_York"  -- Unix TZ values like those found in
#   ##        https://en.wikipedia.org/wiki/List_of_tz_database_time_zones
#   # source_timestamp_timezone = ""
#
#   ## Target timestamp format
#   ## This defines the destination timestamp format. It also can accept either
#   ## `unix`, `unix_ms`, `unix_us`, `unix_ns`, or a time in Go "reference time".
#   destination_timestamp_format = ""
#
#   ## Target Timestamp Timezone
#   ## Source timestamp timezone. If not set, assumed to be in UTC.
#   ## Options are as follows:
#   ##   1. UTC                 -- or unspecified will return timestamp in UTC
#   ##   2. Local               -- interpret based on machine localtime
#   ##   3. "America/New_York"  -- Unix TZ values like those found in
#   ##        https://en.wikipedia.org/wiki/List_of_tz_database_time_zones
#   # destination_timestamp_timezone = ""


# # Print all metrics that pass through this filter.
# [[processors.topk]]
#   ## How many seconds between aggregations
#   # period = 10
#
#   ## How many top buckets to return per field
#   ## Every field specified to aggregate over will return k number of results.
#   ## For example, 1 field with k of 10 will return 10 buckets. While 2 fields
#   ## with k of 3 will return 6 buckets.
#   # k = 10
#
#   ## Over which tags should the aggregation be done. Globs can be specified, in
#   ## which case any tag matching the glob will aggregated over. If set to an
#   ## empty list is no aggregation over tags is done
#   # group_by = ['*']
#
#   ## The field(s) to aggregate
#   ## Each field defined is used to create an independent aggregation. Each
#   ## aggregation will return k buckets. If a metric does not have a defined
#   ## field the metric will be dropped from the aggregation. Considering using
#   ## the defaults processor plugin to ensure fields are set if required.
#   # fields = ["value"]
#
#   ## What aggregation function to use. Options: sum, mean, min, max
#   # aggregation = "mean"
#
#   ## Instead of the top k largest metrics, return the bottom k lowest metrics
#   # bottomk = false
#
#   ## The plugin assigns each metric a GroupBy tag generated from its name and
#   ## tags. If this setting is different than "" the plugin will add a
#   ## tag (which name will be the value of this setting) to each metric with
#   ## the value of the calculated GroupBy tag. Useful for debugging
#   # add_groupby_tag = ""
#
#   ## These settings provide a way to know the position of each metric in
#   ## the top k. The 'add_rank_field' setting allows to specify for which
#   ## fields the position is required. If the list is non empty, then a field
#   ## will be added to each and every metric for each string present in this
#   ## setting. This field will contain the ranking of the group that
#   ## the metric belonged to when aggregated over that field.
#   ## The name of the field will be set to the name of the aggregation field,
#   ## suffixed with the string '_topk_rank'
#   # add_rank_fields = []
#
#   ## These settings provide a way to know what values the plugin is generating
#   ## when aggregating metrics. The 'add_aggregate_field' setting allows to
#   ## specify for which fields the final aggregation value is required. If the
#   ## list is non empty, then a field will be added to each every metric for
#   ## each field present in this setting. This field will contain
#   ## the computed aggregation for the group that the metric belonged to when
#   ## aggregated over that field.
#   ## The name of the field will be set to the name of the aggregation field,
#   ## suffixed with the string '_topk_aggregate'
#   # add_aggregate_fields = []


# # Rotate multi field metric into several single field metrics
# [[processors.unpivot]]
#   ## Metric mode to pivot to
#   ## Set to "tag", metrics are pivoted as a tag and the metric is kept as
#   ## the original measurement name. Tag key name is set by tag_key value.
#   ## Set to "metric" creates a new metric named the field name. With this
#   ## option the tag_key is ignored. Be aware that this could lead to metric
#   ## name conflicts!
#   # use_fieldname_as = "tag"
#
#   ## Tag to use for the name.
#   # tag_key = "name"
#
#   ## Field to use for the name of the value.
#   # value_key = "value"


###############################################################################
#                            AGGREGATOR PLUGINS                               #
###############################################################################


# # Keep the aggregate basicstats of each metric passing through.
# [[aggregators.basicstats]]
#   ## The period on which to flush & clear the aggregator.
#   # period = "30s"
#
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   # drop_original = false
#
#   ## Configures which basic stats to push as fields
#   # stats = ["count","min","max","mean","variance","stdev"]


# # Calculates a derivative for every field.
# [[aggregators.derivative]]
#   ## The period in which to flush the aggregator.
#   # period = "30s"
#
#   ## Suffix to append for the resulting derivative field.
#   # suffix = "_rate"
#
#   ## Field to use for the quotient when computing the derivative.
#   ## When using a field as the derivation parameter the name of that field will
#   ## be used for the resulting derivative, e.g. *fieldname_by_parameter*.
#   ## By default the timestamps of the metrics are used and the suffix is omitted.
#   # variable = ""
#
#   ## Maximum number of roll-overs in case only one measurement is found during a period.
#   # max_roll_over = 10


# # Report the final metric of a series
# [[aggregators.final]]
#   ## The period on which to flush & clear the aggregator.
#   # period = "30s"
#
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   # drop_original = false
#
#   ## If false, _final is added to every field name
#   # keep_original_field_names = false
#
#   ## The time that a series is not updated until considering it final. Ignored
#   ## when output_strategy is "periodic".
#   # series_timeout = "5m"
#
#   ## Output strategy, supported values:
#   ##   timeout  -- output a metric if no new input arrived for `series_timeout`
#   ##   periodic -- output the last received metric every `period`
#   # output_strategy = "timeout"


# # Configuration for aggregate histogram metrics
# [[aggregators.histogram]]
#   ## The period in which to flush the aggregator.
#   # period = "30s"
#
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   # drop_original = false
#
#   ## If true, the histogram will be reset on flush instead
#   ## of accumulating the results.
#   reset = false
#
#   ## Whether bucket values should be accumulated. If set to false, "gt" tag will be added.
#   ## Defaults to true.
#   cumulative = true
#
#   ## Expiration interval for each histogram. The histogram will be expired if
#   ## there are no changes in any buckets for this time interval. 0 == no expiration.
#   # expiration_interval = "0m"
#
#   ## If true, aggregated histogram are pushed to output only if it was updated since
#   ## previous push. Defaults to false.
#   # push_only_on_update = false
#
#   ## Example config that aggregates all fields of the metric.
#   # [[aggregators.histogram.config]]
#   #   ## Right borders of buckets (with +Inf implicitly added).
#   #   buckets = [0.0, 15.6, 34.5, 49.1, 71.5, 80.5, 94.5, 100.0]
#   #   ## The name of metric.
#   #   measurement_name = "cpu"
#
#   ## Example config that aggregates only specific fields of the metric.
#   # [[aggregators.histogram.config]]
#   #   ## Right borders of buckets (with +Inf implicitly added).
#   #   buckets = [0.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0]
#   #   ## The name of metric.
#   #   measurement_name = "diskio"
#   #   ## The concrete fields of metric
#   #   fields = ["io_time", "read_time", "write_time"]


# # Merge metrics into multifield metrics by series key
# [[aggregators.merge]]
#   ## General Aggregator Arguments:
#   ## The period on which to flush & clear the aggregator.
#   # period = "30s"
#
#   ## Precision to round the metric timestamp to
#   ## This is useful for cases where metrics to merge arrive within a small
#   ## interval and thus vary in timestamp. The timestamp of the resulting metric
#   ## is also rounded.
#   # round_timestamp_to = "1ns"
#
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = true


# # Keep the aggregate min/max of each metric passing through.
# [[aggregators.minmax]]
#   ## General Aggregator Arguments:
#   ## The period on which to flush & clear the aggregator.
#   # period = "30s"
#
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   # drop_original = false


# # Keep the aggregate quantiles of each metric passing through.
# [[aggregators.quantile]]
#   ## General Aggregator Arguments:
#   ## The period on which to flush & clear the aggregator.
#   # period = "30s"
#
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   # drop_original = false
#
#   ## Quantiles to output in the range [0,1]
#   # quantiles = [0.25, 0.5, 0.75]
#
#   ## Type of aggregation algorithm
#   ## Supported are:
#   ##  "t-digest" -- approximation using centroids, can cope with large number of samples
#   ##  "exact R7" -- exact computation also used by Excel or NumPy (Hyndman & Fan 1996 R7)
#   ##  "exact R8" -- exact computation (Hyndman & Fan 1996 R8)
#   ## NOTE: Do not use "exact" algorithms with large number of samples
#   ##       to not impair performance or memory consumption!
#   # algorithm = "t-digest"
#
#   ## Compression for approximation (t-digest). The value needs to be
#   ## greater or equal to 1.0. Smaller values will result in more
#   ## performance but less accuracy.
#   # compression = 100.0


# # Aggregate metrics using a Starlark script
# [[aggregators.starlark]]
#   ## The Starlark source can be set as a string in this configuration file, or
#   ## by referencing a file containing the script.  Only one source or script
#   ## should be set at once.
#   ##
#   ## Source of the Starlark script.
#   source = '''
# state = {}
#
# def add(metric):
#   state["last"] = metric
#
# def push():
#   return state.get("last")
#
# def reset():
#   state.clear()
# '''
#
#   ## File containing a Starlark script.
#   # script = "/usr/local/bin/myscript.star"
#
#   ## The constants of the Starlark script.
#   # [aggregators.starlark.constants]
#   #   max_size = 10
#   #   threshold = 0.75
#   #   default_name = "Julia"
#   #   debug_mode = true


# # Count the occurrence of values in fields.
# [[aggregators.valuecounter]]
#   ## General Aggregator Arguments:
#   ## The period on which to flush & clear the aggregator.
#   # period = "30s"
#
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   # drop_original = false
#
#   ## The fields for which the values will be counted
#   fields = ["status"]


###############################################################################
#                            INPUT PLUGINS                                    #
###############################################################################


# Read metrics about cpu usage
[[inputs.cpu]]
  ## Whether to report per-cpu stats or not
  percpu = true
  ## Whether to report total system cpu stats or not
  totalcpu = true
  ## If true, collect raw CPU time metrics
  collect_cpu_time = false
  ## If true, compute and report the sum of all non-idle CPU states
  ## NOTE: The resulting 'time_active' field INCLUDES 'iowait'!
  report_active = false
  ## If true and the info is available then add core_id and physical_id tags
  core_tags = false


# Read metrics about disk usage by mount point
[[inputs.disk]]
  ## By default stats will be gathered for all mount points.
  ## Set mount_points will restrict the stats to only the specified mount points.
  # mount_points = ["/"]

  ## Ignore mount points by filesystem type.
  ignore_fs = ["tmpfs", "devtmpfs", "devfs", "iso9660", "overlay", "aufs", "squashfs"]

  ## Ignore mount points by mount options.
  ## The 'mount' command reports options of all mounts in parathesis.
  ## Bind mounts can be ignored with the special 'bind' option.
  # ignore_mount_opts = []


# Read metrics about disk IO by device
[[inputs.diskio]]
  ## Devices to collect stats for
  ## Wildcards are supported except for disk synonyms like '/dev/disk/by-id'.
  ## ex. devices = ["sda", "sdb", "vd*", "/dev/disk/by-id/nvme-eui.00123deadc0de123"]
  # devices = ["*"]

  ## Skip gathering of the disk's serial numbers.
  # skip_serial_number = true

  ## Device metadata tags to add on systems supporting it (Linux only)
  ## Use 'udevadm info -q property -n <device>' to get a list of properties.
  ## Note: Most, but not all, udev properties can be accessed this way. Properties
  ## that are currently inaccessible include DEVTYPE, DEVNAME, and DEVPATH.
  # device_tags = ["ID_FS_TYPE", "ID_FS_USAGE"]

  ## Using the same metadata source as device_tags, you can also customize the
  ## name of the device via templates.
  ## The 'name_templates' parameter is a list of templates to try and apply to
  ## the device. The template may contain variables in the form of '$PROPERTY' or
  ## '${PROPERTY}'. The first template which does not contain any variables not
  ## present for the device is used as the device name tag.
  ## The typical use case is for LVM volumes, to get the VG/LV name instead of
  ## the near-meaningless DM-0 name.
  # name_templates = ["$ID_FS_LABEL","$DM_VG_NAME/$DM_LV_NAME"]


# Plugin to collect various Linux kernel statistics.
# This plugin ONLY supports Linux
[[inputs.kernel]]
  ## Additional gather options
  ## Possible options include:
  ## * ksm - kernel same-page merging
  ## * psi - pressure stall information
  # collect = []


# Read metrics about memory usage
[[inputs.mem]]
  # no configuration


# Get the number of processes and group them by status
# This plugin ONLY supports non-Windows
[[inputs.processes]]
  ## Use sudo to run ps command on *BSD systems. Linux systems will read
  ## /proc, so this does not apply there.
  # use_sudo = false


# Read metrics about swap memory usage
[[inputs.swap]]
  # no configuration


# Read metrics about system load & uptime
[[inputs.system]]
  # no configuration


# # Gather ActiveMQ metrics
# [[inputs.activemq]]
#   ## ActiveMQ WebConsole URL
#   url = "http://127.0.0.1:8161"
#
#   ## Credentials for basic HTTP authentication
#   # username = "admin"
#   # password = "admin"
#
#   ## Required ActiveMQ webadmin root path
#   # webadmin = "admin"
#
#   ## Maximum time to receive response.
#   # response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# ## DEPRECATED: The "aerospike" plugin is deprecated in version 1.30.0 and will be removed in 1.40.0, use 'inputs.prometheus' with the Aerospike Prometheus Exporter instead.
# # Read stats from aerospike server(s)
# [[inputs.aerospike]]
#   ## Aerospike servers to connect to (with port)
#   ## This plugin will query all namespaces the aerospike
#   ## server has configured and get stats for them.
#   servers = ["localhost:3000"]
#
#   # username = "telegraf"
#   # password = "pa$$word"
#
#   ## Optional TLS Config
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable =
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Password for the key file if it is encrypted
#   # tls_key_pwd = ""
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Minimal TLS version to accept by the client
#   # tls_min_version = "TLS12"
#   ## List of ciphers to accept, by default all secure ciphers will be accepted
#   ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
#   ## Use "all", "secure" and "insecure" to add all support ciphers, secure
#   ## suites or insecure suites respectively.
#   # tls_cipher_suites = ["secure"]
#   ## Renegotiation method, "never", "once" or "freely"
#   # tls_renegotiation_method = "never"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   # Feature Options
#   # Add namespace variable to limit the namespaces executed on
#   # Leave blank to do all
#   # disable_query_namespaces = true # default false
#   # namespaces = ["namespace1", "namespace2"]
#
#   # Enable set level telemetry
#   # query_sets = true # default: false
#   # Add namespace set combinations to limit sets executed on
#   # Leave blank to do all sets
#   # sets = ["namespace1/set1", "namespace1/set2", "namespace3"]
#
#   # Histograms
#   # enable_ttl_histogram = true # default: false
#   # enable_object_size_linear_histogram = true # default: false
#
#   # by default, aerospike produces a 100 bucket histogram
#   # this is not great for most graphing tools, this will allow
#   # the ability to squash this to a smaller number of buckets
#   # To have a balanced histogram, the number of buckets chosen
#   # should divide evenly into 100.
#   # num_histogram_buckets = 100 # default: 10


# # Read Apache status information (mod_status)
# [[inputs.apache]]
#   ## An array of URLs to gather from, must be directed at the machine
#   ## readable version of the mod_status page including the auto query string.
#   ## Default is "http://localhost/server-status?auto".
#   urls = ["http://localhost/server-status?auto"]
#
#   ## Credentials for basic HTTP authentication.
#   # username = "myuser"
#   # password = "mypassword"
#
#   ## Maximum time to receive response.
#   # response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Monitor APC UPSes connected to apcupsd
# [[inputs.apcupsd]]
#   # A list of running apcupsd server to connect to.
#   # If not provided will default to tcp://127.0.0.1:3551
#   servers = ["tcp://127.0.0.1:3551"]
#
#   ## Timeout for dialing server.
#   timeout = "5s"


# # Gather metrics from Apache Aurora schedulers
# [[inputs.aurora]]
#   ## Schedulers are the base addresses of your Aurora Schedulers
#   schedulers = ["http://127.0.0.1:8081"]
#
#   ## Set of role types to collect metrics from.
#   ##
#   ## The scheduler roles are checked each interval by contacting the
#   ## scheduler nodes; zookeeper is not contacted.
#   # roles = ["leader", "follower"]
#
#   ## Timeout is the max time for total network operations.
#   # timeout = "5s"
#
#   ## Username and password are sent using HTTP Basic Auth.
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Gather Azure resources metrics from Azure Monitor API
# [[inputs.azure_monitor]]
#   # can be found under Overview->Essentials in the Azure portal for your application/service
#   subscription_id = "<<SUBSCRIPTION_ID>>"
#   # can be obtained by registering an application under Azure Active Directory
#   client_id = "<<CLIENT_ID>>"
#   # can be obtained by registering an application under Azure Active Directory.
#   # If not specified Default Azure Credentials chain will be attempted:
#   # - Environment credentials (AZURE_*)
#   # - Workload Identity in Kubernetes cluster
#   # - Managed Identity
#   # - Azure CLI auth
#   # - Developer Azure CLI auth
#   client_secret = "<<CLIENT_SECRET>>"
#   # can be found under Azure Active Directory->Properties
#   tenant_id = "<<TENANT_ID>>"
#   # Define the optional Azure cloud option e.g. AzureChina, AzureGovernment or AzurePublic. The default is AzurePublic.
#   # cloud_option = "AzurePublic"
#
#   # resource target #1 to collect metrics from
#   [[inputs.azure_monitor.resource_target]]
#     # can be found under Overview->Essentials->JSON View in the Azure portal for your application/service
#     # must start with 'resourceGroups/...' ('/subscriptions/xxxxxxxx-xxxx-xxxx-xxx-xxxxxxxxxxxx'
#     # must be removed from the beginning of Resource ID property value)
#     resource_id = "<<RESOURCE_ID>>"
#     # the metric names to collect
#     # leave the array empty to use all metrics available to this resource
#     metrics = [ "<<METRIC>>", "<<METRIC>>" ]
#     # metrics aggregation type value to collect
#     # can be 'Total', 'Count', 'Average', 'Minimum', 'Maximum'
#     # leave the array empty to collect all aggregation types values for each metric
#     aggregations = [ "<<AGGREGATION>>", "<<AGGREGATION>>" ]
#
#   # resource target #2 to collect metrics from
#   [[inputs.azure_monitor.resource_target]]
#     resource_id = "<<RESOURCE_ID>>"
#     metrics = [ "<<METRIC>>", "<<METRIC>>" ]
#     aggregations = [ "<<AGGREGATION>>", "<<AGGREGATION>>" ]
#
#   # resource group target #1 to collect metrics from resources under it with resource type
#   [[inputs.azure_monitor.resource_group_target]]
#     # the resource group name
#     resource_group = "<<RESOURCE_GROUP_NAME>>"
#
#     # defines the resources to collect metrics from
#     [[inputs.azure_monitor.resource_group_target.resource]]
#       # the resource type
#       resource_type = "<<RESOURCE_TYPE>>"
#       metrics = [ "<<METRIC>>", "<<METRIC>>" ]
#       aggregations = [ "<<AGGREGATION>>", "<<AGGREGATION>>" ]
#
#     # defines the resources to collect metrics from
#     [[inputs.azure_monitor.resource_group_target.resource]]
#       resource_type = "<<RESOURCE_TYPE>>"
#       metrics = [ "<<METRIC>>", "<<METRIC>>" ]
#       aggregations = [ "<<AGGREGATION>>", "<<AGGREGATION>>" ]
#
#   # resource group target #2 to collect metrics from resources under it with resource type
#   [[inputs.azure_monitor.resource_group_target]]
#     resource_group = "<<RESOURCE_GROUP_NAME>>"
#
#     [[inputs.azure_monitor.resource_group_target.resource]]
#       resource_type = "<<RESOURCE_TYPE>>"
#       metrics = [ "<<METRIC>>", "<<METRIC>>" ]
#       aggregations = [ "<<AGGREGATION>>", "<<AGGREGATION>>" ]
#
#   # subscription target #1 to collect metrics from resources under it with resource type
#   [[inputs.azure_monitor.subscription_target]]
#     resource_type = "<<RESOURCE_TYPE>>"
#     metrics = [ "<<METRIC>>", "<<METRIC>>" ]
#     aggregations = [ "<<AGGREGATION>>", "<<AGGREGATION>>" ]
#
#   # subscription target #2 to collect metrics from resources under it with resource type
#   [[inputs.azure_monitor.subscription_target]]
#     resource_type = "<<RESOURCE_TYPE>>"
#     metrics = [ "<<METRIC>>", "<<METRIC>>" ]
#     aggregations = [ "<<AGGREGATION>>", "<<AGGREGATION>>" ]


# # Gather Azure Storage Queue metrics
# [[inputs.azure_storage_queue]]
#   ## Azure Storage Account name and shared access key (required)
#   account_name = "mystorageaccount"
#   account_key = "storageaccountaccesskey"
#
#   ## Disable peeking age of oldest message (faster)
#   # peek_oldest_message_age = true


# # Read metrics of bcache from stats_total and dirty_data
# # This plugin ONLY supports Linux
# [[inputs.bcache]]
#   ## Bcache sets path
#   ## If not specified, then default is:
#   bcachePath = "/sys/fs/bcache"
#
#   ## By default, Telegraf gather stats for all bcache devices
#   ## Setting devices will restrict the stats to the specified
#   ## bcache devices.
#   bcacheDevs = ["bcache0"]


# # Collects Beanstalkd server and tubes stats
# [[inputs.beanstalkd]]
#   ## Server to collect data from
#   server = "localhost:11300"
#
#   ## List of tubes to gather stats about.
#   ## If no tubes specified then data gathered for each tube on server reported by list-tubes command
#   tubes = ["notifications"]


# # Read metrics exposed by Beat
# [[inputs.beat]]
#   ## An URL from which to read Beat-formatted JSON
#   ## Default is "http://127.0.0.1:5066".
#   url = "http://127.0.0.1:5066"
#
#   ## Enable collection of the listed stats
#   ## An empty list means collect all. Available options are currently
#   ## "beat", "libbeat", "system" and "filebeat".
#   # include = ["beat", "libbeat", "filebeat"]
#
#   ## HTTP method
#   # method = "GET"
#
#   ## Optional HTTP headers
#   # headers = {"X-Special-Header" = "Special-Value"}
#
#   ## Override HTTP "Host" header
#   # host_header = "logstash.example.com"
#
#   ## Timeout for HTTP requests
#   # timeout = "5s"
#
#   ## Optional HTTP Basic Auth credentials
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read BIND nameserver XML statistics
# [[inputs.bind]]
#   ## An array of BIND XML statistics URI to gather stats.
#   ## Default is "http://localhost:8053/xml/v3".
#   # urls = ["http://localhost:8053/xml/v3"]
#   # gather_memory_contexts = false
#   # gather_views = false
#
#   ## Report xml v3 counters as integers instead of unsigned for backward
#   ## compatibility. Set this to false as soon as possible!
#   ## Values are clipped if exceeding the integer range.
#   # report_counters_as_int = true
#
#   ## Timeout for http requests made by bind nameserver
#   # timeout = "4s"


# # Collect bond interface status, slaves statuses and failures count
# [[inputs.bond]]
#   ## Sets 'proc' directory path
#   ## If not specified, then default is /proc
#   # host_proc = "/proc"
#
#   ## Sets 'sys' directory path
#   ## If not specified, then default is /sys
#   # host_sys = "/sys"
#
#   ## By default, telegraf gather stats for all bond interfaces
#   ## Setting interfaces will restrict the stats to the specified
#   ## bond interfaces.
#   # bond_interfaces = ["bond0"]
#
#   ## Tries to collect additional bond details from /sys/class/net/{bond}
#   ## currently only useful for LACP (mode 4) bonds
#   # collect_sys_details = false


# # Collect Kafka topics and consumers status from Burrow HTTP API.
# [[inputs.burrow]]
#   ## Burrow API endpoints in format "schema://host:port".
#   ## Default is "http://localhost:8000".
#   servers = ["http://localhost:8000"]
#
#   ## Override Burrow API prefix.
#   ## Useful when Burrow is behind reverse-proxy.
#   # api_prefix = "/v3/kafka"
#
#   ## Maximum time to receive response.
#   # response_timeout = "5s"
#
#   ## Limit per-server concurrent connections.
#   ## Useful in case of large number of topics or consumer groups.
#   # concurrent_connections = 20
#
#   ## Filter clusters, default is no filtering.
#   ## Values can be specified as glob patterns.
#   # clusters_include = []
#   # clusters_exclude = []
#
#   ## Filter consumer groups, default is no filtering.
#   ## Values can be specified as glob patterns.
#   # groups_include = []
#   # groups_exclude = []
#
#   ## Filter topics, default is no filtering.
#   ## Values can be specified as glob patterns.
#   # topics_include = []
#   # topics_exclude = []
#
#   ## Credentials for basic HTTP authentication.
#   # username = ""
#   # password = ""
#
#   ## Optional SSL config
#   # ssl_ca = "/etc/telegraf/ca.pem"
#   # ssl_cert = "/etc/telegraf/cert.pem"
#   # ssl_key = "/etc/telegraf/key.pem"
#   # insecure_skip_verify = false


# # Collects performance metrics from the MON, OSD, MDS and RGW nodes
# # in a Ceph storage cluster.
# [[inputs.ceph]]
#   ## This is the recommended interval to poll. Too frequent and you
#   ## will lose data points due to timeouts during rebalancing and recovery
#   interval = '1m'
#
#   ## All configuration values are optional, defaults are shown below
#
#   ## location of ceph binary
#   ceph_binary = "/usr/bin/ceph"
#
#   ## directory in which to look for socket files
#   socket_dir = "/var/run/ceph"
#
#   ## prefix of MON and OSD socket files, used to determine socket type
#   mon_prefix = "ceph-mon"
#   osd_prefix = "ceph-osd"
#   mds_prefix = "ceph-mds"
#   rgw_prefix = "ceph-client"
#
#   ## suffix used to identify socket files
#   socket_suffix = "asok"
#
#   ## Ceph user to authenticate as, ceph will search for the corresponding
#   ## keyring e.g. client.admin.keyring in /etc/ceph, or the explicit path
#   ## defined in the client section of ceph.conf for example:
#   ##
#   ##     [client.telegraf]
#   ##         keyring = /etc/ceph/client.telegraf.keyring
#   ##
#   ## Consult the ceph documentation for more detail on keyring generation.
#   ceph_user = "client.admin"
#
#   ## Ceph configuration to use to locate the cluster
#   ceph_config = "/etc/ceph/ceph.conf"
#
#   ## Whether to gather statistics via the admin socket
#   gather_admin_socket_stats = true
#
#   ## Whether to gather statistics via ceph commands, requires ceph_user
#   ## and ceph_config to be specified
#   gather_cluster_stats = false


# # Read specific statistics per cgroup
# # This plugin ONLY supports Linux
# [[inputs.cgroup]]
#   ## Directories in which to look for files, globs are supported.
#   ## Consider restricting paths to the set of cgroups you really
#   ## want to monitor if you have a large number of cgroups, to avoid
#   ## any cardinality issues.
#   # paths = [
#   #   "/sys/fs/cgroup/memory",
#   #   "/sys/fs/cgroup/memory/child1",
#   #   "/sys/fs/cgroup/memory/child2/*",
#   # ]
#   ## cgroup stat fields, as file names, globs are supported.
#   ## these file names are appended to each path from above.
#   # files = ["memory.*usage*", "memory.limit_in_bytes"]


# # Pull Metric Statistics from Amazon CloudWatch
# [[inputs.cloudwatch]]
#   ## Amazon Region
#   region = "us-east-1"
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Web identity provider credentials via STS if role_arn and
#   ##    web_identity_token_file are specified
#   ## 2) Assumed credentials via STS if role_arn is specified
#   ## 3) explicit credentials from 'access_key' and 'secret_key'
#   ## 4) shared profile from 'profile'
#   ## 5) environment variables
#   ## 6) shared credentials file
#   ## 7) EC2 Instance Profile
#   # access_key = ""
#   # secret_key = ""
#   # token = ""
#   # role_arn = ""
#   # web_identity_token_file = ""
#   # role_session_name = ""
#   # profile = ""
#   # shared_credential_file = ""
#
#   ## If you are using CloudWatch cross-account observability, you can
#   ## set IncludeLinkedAccounts to true in a monitoring account
#   ## and collect metrics from the linked source accounts
#   # include_linked_accounts = false
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = "http://localhost:8000"
#   # endpoint_url = ""
#
#   ## Set http_proxy
#   # use_system_proxy = false
#   # http_proxy_url = "http://localhost:8888"
#
#   ## The minimum period for Cloudwatch metrics is 1 minute (60s). However not
#   ## all metrics are made available to the 1 minute period. Some are collected
#   ## at 3 minute, 5 minute, or larger intervals.
#   ## See https://aws.amazon.com/cloudwatch/faqs/#monitoring.
#   ## Note that if a period is configured that is smaller than the minimum for a
#   ## particular metric, that metric will not be returned by the Cloudwatch API
#   ## and will not be collected by Telegraf.
#   #
#   ## Requested CloudWatch aggregation Period (required)
#   ## Must be a multiple of 60s.
#   period = "5m"
#
#   ## Collection Delay (required)
#   ## Must account for metrics availability via CloudWatch API
#   delay = "5m"
#
#   ## Recommended: use metric 'interval' that is a multiple of 'period' to avoid
#   ## gaps or overlap in pulled data
#   interval = "5m"
#
#   ## Recommended if "delay" and "period" are both within 3 hours of request
#   ## time. Invalid values will be ignored. Recently Active feature will only
#   ## poll for CloudWatch ListMetrics values that occurred within the last 3h.
#   ## If enabled, it will reduce total API usage of the CloudWatch ListMetrics
#   ## API and require less memory to retain.
#   ## Do not enable if "period" or "delay" is longer than 3 hours, as it will
#   ## not return data more than 3 hours old.
#   ## See https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_ListMetrics.html
#   # recently_active = "PT3H"
#
#   ## Configure the TTL for the internal cache of metrics.
#   # cache_ttl = "1h"
#
#   ## Metric Statistic Namespaces, wildcards are allowed
#   # namespaces = ["*"]
#
#   ## Metric Format
#   ## This determines the format of the produces metrics. 'sparse', the default
#   ## will produce a unique field for each statistic. 'dense' will report all
#   ## statistics will be in a field called value and have a metric_name tag
#   ## defining the name of the statistic. See the plugin README for examples.
#   # metric_format = "sparse"
#
#   ## Maximum requests per second. Note that the global default AWS rate limit
#   ## is 50 reqs/sec, so if you define multiple namespaces, these should add up
#   ## to a maximum of 50.
#   ## See http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_limits.html
#   # ratelimit = 25
#
#   ## Timeout for http requests made by the cloudwatch client.
#   # timeout = "5s"
#
#   ## Batch Size
#   ## The size of each batch to send requests to Cloudwatch. 500 is the
#   ## suggested largest size. If a request gets to large (413 errors), consider
#   ## reducing this amount.
#   # batch_size = 500
#
#   ## Namespace-wide statistic filters. These allow fewer queries to be made to
#   ## cloudwatch.
#   # statistic_include = ["average", "sum", "minimum", "maximum", sample_count"]
#   # statistic_exclude = []
#
#   ## Metrics to Pull
#   ## Defaults to all Metrics in Namespace if nothing is provided
#   ## Refreshes Namespace available metrics every 1h
#   #[[inputs.cloudwatch.metrics]]
#   #  names = ["Latency", "RequestCount"]
#   #
#   #  ## Statistic filters for Metric.  These allow for retrieving specific
#   #  ## statistics for an individual metric.
#   #  # statistic_include = ["average", "sum", "minimum", "maximum", sample_count"]
#   #  # statistic_exclude = []
#   #
#   #  ## Dimension filters for Metric.
#   #  ## All dimensions defined for the metric names must be specified in order
#   #  ## to retrieve the metric statistics.
#   #  ## 'value' has wildcard / 'glob' matching support such as 'p-*'.
#   #  [[inputs.cloudwatch.metrics.dimensions]]
#   #    name = "LoadBalancerName"
#   #    value = "p-example"


# # Collects conntrack stats from the configured directories and files.
# # This plugin ONLY supports Linux
# [[inputs.conntrack]]
#   ## The following defaults would work with multiple versions of conntrack.
#   ## Note the nf_ and ip_ filename prefixes are mutually exclusive across
#   ## kernel versions, as are the directory locations.
#
#   ## Look through /proc/net/stat/nf_conntrack for these metrics
#   ## all - aggregated statistics
#   ## percpu - include detailed statistics with cpu tag
#   collect = ["all", "percpu"]
#
#   ## User-specified directories and files to look through
#   ## Directories to search within for the conntrack files above.
#   ## Missing directories will be ignored.
#   dirs = ["/proc/sys/net/ipv4/netfilter","/proc/sys/net/netfilter"]
#
#   ## Superset of filenames to look for within the conntrack dirs.
#   ## Missing files will be ignored.
#   files = ["ip_conntrack_count","ip_conntrack_max",
#           "nf_conntrack_count","nf_conntrack_max"]


# # Gather health check statuses from services registered in Consul
# [[inputs.consul]]
#   ## Consul server address
#   # address = "localhost:8500"
#
#   ## URI scheme for the Consul server, one of "http", "https"
#   # scheme = "http"
#
#   ## Metric version controls the mapping from Consul metrics into
#   ## Telegraf metrics. Version 2 moved all fields with string values
#   ## to tags.
#   ##
#   ##   example: metric_version = 1; deprecated in 1.16
#   ##            metric_version = 2; recommended version
#   # metric_version = 1
#
#   ## ACL token used in every request
#   # token = ""
#
#   ## HTTP Basic Authentication username and password.
#   # username = ""
#   # password = ""
#
#   ## Data center to query the health checks from
#   # datacenter = ""
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = true
#
#   ## Consul checks' tag splitting
#   # When tags are formatted like "key:value" with ":" as a delimiter then
#   # they will be split and reported as proper key:value in Telegraf
#   # tag_delimiter = ":"


# # Read metrics from the Consul Agent API
# [[inputs.consul_agent]]
#   ## URL for the Consul agent
#   # url = "http://127.0.0.1:8500"
#
#   ## Use auth token for authorization.
#   ## If both are set, an error is thrown.
#   ## If both are empty, no token will be used.
#   # token_file = "/path/to/auth/token"
#   ## OR
#   # token = "a1234567-40c7-9048-7bae-378687048181"
#
#   ## Set timeout (default 5 seconds)
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = /path/to/cafile
#   # tls_cert = /path/to/certfile
#   # tls_key = /path/to/keyfile


# # Read per-node and per-bucket metrics from Couchbase
# [[inputs.couchbase]]
#   ## specify servers via a url matching:
#   ##  [protocol://][:password]@address[:port]
#   ##  e.g.
#   ##    http://couchbase-0.example.com/
#   ##    http://admin:secret@couchbase-0.example.com:8091/
#   ##
#   ## If no servers are specified, then localhost is used as the host.
#   ## If no protocol is specified, HTTP is used.
#   ## If no port is specified, 8091 is used.
#   servers = ["http://localhost:8091"]
#
#   ## Filter bucket fields to include only here.
#   # bucket_stats_included = ["quota_percent_used", "ops_per_sec", "disk_fetches", "item_count", "disk_used", "data_used", "mem_used"]
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification (defaults to false)
#   ## If set to false, tls_cert and tls_key are required
#   # insecure_skip_verify = false
#
#   ## Whether to collect cluster-wide bucket statistics
#   ## It is recommended to disable this in favor of node_stats
#   ## to get a better view of the cluster.
#   # cluster_bucket_stats = true
#
#   ## Whether to collect bucket stats for each individual node
#   # node_bucket_stats = false
#
#   ## List of additional stats to collect, choose from:
#   ##  * autofailover
#   # additional_stats = []


# # Read CouchDB Stats from one or more servers
# [[inputs.couchdb]]
#   ## Works with CouchDB stats endpoints out of the box
#   ## Multiple Hosts from which to read CouchDB stats:
#   hosts = ["http://localhost:8086/_stats"]
#
#   ## Use HTTP Basic Authentication.
#   # basic_username = "telegraf"
#   # basic_password = "p@ssw0rd"


# # Fetch metrics from a CSGO SRCDS
# [[inputs.csgo]]
#   ## Specify servers using the following format:
#   ##    servers = [
#   ##      ["ip1:port1", "rcon_password1"],
#   ##      ["ip2:port2", "rcon_password2"],
#   ##    ]
#   #
#   ## If no servers are specified, no data will be collected
#   servers = []


# # Input plugin for DC/OS metrics
# [[inputs.dcos]]
#   ## The DC/OS cluster URL.
#   cluster_url = "https://dcos-master-1"
#
#   ## The ID of the service account.
#   service_account_id = "telegraf"
#   ## The private key file for the service account.
#   service_account_private_key = "/etc/telegraf/telegraf-sa-key.pem"
#
#   ## Path containing login token.  If set, will read on every gather.
#   # token_file = "/home/dcos/.dcos/token"
#
#   ## In all filter options if both include and exclude are empty all items
#   ## will be collected.  Arrays may contain glob patterns.
#   ##
#   ## Node IDs to collect metrics from.  If a node is excluded, no metrics will
#   ## be collected for its containers or apps.
#   # node_include = []
#   # node_exclude = []
#   ## Container IDs to collect container metrics from.
#   # container_include = []
#   # container_exclude = []
#   ## Container IDs to collect app metrics from.
#   # app_include = []
#   # app_exclude = []
#
#   ## Maximum concurrent connections to the cluster.
#   # max_connections = 10
#   ## Maximum time to receive a response from cluster.
#   # response_timeout = "20s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## If false, skip chain & host verification
#   # insecure_skip_verify = true
#
#   ## Recommended filtering to reduce series cardinality.
#   # [inputs.dcos.tagdrop]
#   #   path = ["/var/lib/mesos/slave/slaves/*"]


# # Read metrics from one or many disque servers
# [[inputs.disque]]
#   ## An array of URI to gather stats about. Specify an ip or hostname
#   ## with optional port and password.
#   ## ie disque://localhost, disque://10.10.3.33:18832, 10.0.0.1:10000, etc.
#   ## If no servers are specified, then localhost is used as the host.
#   servers = ["localhost"]


# # Provide a native collection for dmsetup based statistics for dm-cache
# # This plugin ONLY supports Linux
# [[inputs.dmcache]]
#   ## Whether to report per-device stats or not
#   per_device = true


# # Query given DNS server and gives statistics
# [[inputs.dns_query]]
#   ## servers to query
#   servers = ["8.8.8.8"]
#
#   ## Network is the network protocol name.
#   # network = "udp"
#
#   ## Domains or subdomains to query.
#   # domains = ["."]
#
#   ## Query record type.
#   ## Possible values: A, AAAA, CNAME, MX, NS, PTR, TXT, SOA, SPF, SRV.
#   # record_type = "A"
#
#   ## Dns server port.
#   # port = 53
#
#   ## Query timeout
#   # timeout = "2s"
#
#   ## Include the specified additional properties in the resulting metric.
#   ## The following values are supported:
#   ##    "first_ip" -- return IP of the first A and AAAA answer
#   ##    "all_ips"  -- return IPs of all A and AAAA answers
#   # include_fields = []


# # Read metrics about dovecot servers
# [[inputs.dovecot]]
#   ## specify dovecot servers via an address:port list
#   ##  e.g.
#   ##    localhost:24242
#   ## or as an UDS socket
#   ##  e.g.
#   ##    /var/run/dovecot/old-stats
#   ##
#   ## If no servers are specified, then localhost is used as the host.
#   servers = ["localhost:24242"]
#
#   ## Type is one of "user", "domain", "ip", or "global"
#   type = "global"
#
#   ## Wildcard matches like "*.com". An empty string "" is same as "*"
#   ## If type = "ip" filters should be <IP/network>
#   filters = [""]


# # Read metrics about ECS containers
# [[inputs.ecs]]
#   ## ECS metadata url.
#   ## Metadata v2 API is used if set explicitly. Otherwise,
#   ## v3 metadata endpoint API is used if available.
#   # endpoint_url = ""
#
#   ## Containers to include and exclude. Globs accepted.
#   ## Note that an empty array for both will include all containers
#   # container_name_include = []
#   # container_name_exclude = []
#
#   ## Container states to include and exclude. Globs accepted.
#   ## When empty only containers in the "RUNNING" state will be captured.
#   ## Possible values are "NONE", "PULLED", "CREATED", "RUNNING",
#   ## "RESOURCES_PROVISIONED", "STOPPED".
#   # container_status_include = []
#   # container_status_exclude = []
#
#   ## ecs labels to include and exclude as tags.  Globs accepted.
#   ## Note that an empty array for both will include all labels as tags
#   ecs_label_include = [ "com.amazonaws.ecs.*" ]
#   ecs_label_exclude = []
#
#   ## Timeout for queries.
#   # timeout = "5s"


# # Returns ethtool statistics for given interfaces
# # This plugin ONLY supports Linux
# [[inputs.ethtool]]
#   ## List of interfaces to pull metrics for
#   # interface_include = ["eth0"]
#
#   ## List of interfaces to ignore when pulling metrics.
#   # interface_exclude = ["eth1"]
#
#   ## Plugin behavior for downed interfaces
#   ## Available choices:
#   ##   - expose: collect & report metrics for down interfaces
#   ##   - skip: ignore interfaces that are marked down
#   # down_interfaces = "expose"
#
#   ## Reading statistics from interfaces in additional namespaces is also
#   ## supported, so long as the namespaces are named (have a symlink in
#   ## /var/run/netns). The telegraf process will also need the CAP_SYS_ADMIN
#   ## permission.
#   ## By default, only the current namespace will be used. For additional
#   ## namespace support, at least one of `namespace_include` and
#   ## `namespace_exclude` must be provided.
#   ## To include all namespaces, set `namespace_include` to `["*"]`.
#   ## The initial namespace (if anonymous) can be specified with the empty
#   ## string ("").
#
#   ## List of namespaces to pull metrics for
#   # namespace_include = []
#
#   ## List of namespace to ignore when pulling metrics.
#   # namespace_exclude = []
#
#   ## Some drivers declare statistics with extra whitespace, different spacing,
#   ## and mix cases. This list, when enabled, can be used to clean the keys.
#   ## Here are the current possible normalizations:
#   ##  * snakecase: converts fooBarBaz to foo_bar_baz
#   ##  * trim: removes leading and trailing whitespace
#   ##  * lower: changes all capitalized letters to lowercase
#   ##  * underscore: replaces spaces with underscores
#   # normalize_keys = ["snakecase", "trim", "lower", "underscore"]


# # Read metrics from one or more commands that can output to stdout
# [[inputs.exec]]
#   ## Commands array
#   commands = []
#
#   ## Environment variables
#   ## Array of "key=value" pairs to pass as environment variables
#   ## e.g. "KEY=value", "USERNAME=John Doe",
#   ## "LD_LIBRARY_PATH=/opt/custom/lib64:/usr/local/libs"
#   # environment = []
#
#   ## Timeout for each command to complete.
#   # timeout = "5s"
#
#   ## Measurement name suffix
#   ## Used for separating different commands
#   # name_suffix = ""
#
#   ## Ignore Error Code
#   ## If set to true, a non-zero error code in not considered an error and the
#   ## plugin will continue to parse the output.
#   # ignore_error = false
#
#   ## Data format
#   ## By default, exec expects JSON. This was done for historical reasons and is
#   ## different than other inputs that use the influx line protocol. Each data
#   ## format has its own unique set of configuration options, read more about
#   ## them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   # data_format = "json"


# # Read metrics from fail2ban.
# [[inputs.fail2ban]]
#   ## Use sudo to run fail2ban-client
#   # use_sudo = false
#
#   ## Use the given socket instead of the default one
#   # socket = "/var/run/fail2ban/fail2ban.sock"


# # Read devices value(s) from a Fibaro controller
# [[inputs.fibaro]]
#   ## Required Fibaro controller address/hostname.
#   ## Note: at the time of writing this plugin, Fibaro only implemented http - no https available
#   url = "http://<controller>:80"
#
#   ## Required credentials to access the API (http://<controller/api/<component>)
#   username = "<username>"
#   password = "<password>"
#
#   ## Amount of time allowed to complete the HTTP request
#   # timeout = "5s"
#
#   ## Fibaro Device Type
#   ## By default, this plugin will attempt to read using the HC2 API. For HC3
#   ## devices, set this to "HC3"
#   # device_type = "HC2"


# # Parse a complete file each interval
# [[inputs.file]]
#   ## Files to parse each interval.  Accept standard unix glob matching rules,
#   ## as well as ** to match recursive files and directories.
#   files = ["/tmp/metrics.out"]
#
#   ## Character encoding to use when interpreting the file contents.  Invalid
#   ## characters are replaced using the unicode replacement character.  When set
#   ## to the empty string the data is not decoded to text.
#   ##   ex: character_encoding = "utf-8"
#   ##       character_encoding = "utf-16le"
#   ##       character_encoding = "utf-16be"
#   ##       character_encoding = ""
#   # character_encoding = ""
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"
#
#   ## Please use caution when using the following options: when file name
#   ## variation is high, this can increase the cardinality significantly. Read
#   ## more about cardinality here:
#   ## https://docs.influxdata.com/influxdb/cloud/reference/glossary/#series-cardinality
#
#   ## Name of tag to store the name of the file. Disabled if not set.
#   # file_tag = ""
#
#   ## Name of tag to store the absolute path and name of the file. Disabled if
#   ## not set.
#   # file_path_tag = ""


# # Count files in a directory
# [[inputs.filecount]]
#   ## Directories to gather stats about.
#   ## This accept standard unit glob matching rules, but with the addition of
#   ## ** as a "super asterisk". ie:
#   ##   /var/log/**    -> recursively find all directories in /var/log and count files in each directories
#   ##   /var/log/*/*   -> find all directories with a parent dir in /var/log and count files in each directories
#   ##   /var/log       -> count all files in /var/log and all of its subdirectories
#   directories = ["/var/cache/apt", "/tmp"]
#
#   ## Only count files that match the name pattern. Defaults to "*".
#   name = "*"
#
#   ## Count files in subdirectories. Defaults to true.
#   recursive = true
#
#   ## Only count regular files. Defaults to true.
#   regular_only = true
#
#   ## Follow all symlinks while walking the directory tree. Defaults to false.
#   follow_symlinks = false
#
#   ## Only count files that are at least this size. If size is
#   ## a negative number, only count files that are smaller than the
#   ## absolute value of size. Acceptable units are B, KiB, MiB, KB, ...
#   ## Without quotes and units, interpreted as size in bytes.
#   size = "0B"
#
#   ## Only count files that have not been touched for at least this
#   ## duration. If mtime is negative, only count files that have been
#   ## touched in this duration. Defaults to "0s".
#   mtime = "0s"


# # Read stats about given file(s)
# [[inputs.filestat]]
#   ## Files to gather stats about.
#   ## These accept standard unix glob matching rules, but with the addition of
#   ## ** as a "super asterisk". See https://github.com/gobwas/glob.
#   files = ["/etc/telegraf/telegraf.conf", "/var/log/**.log"]
#
#   ## If true, read the entire file and calculate an md5 checksum.
#   md5 = false


# # Read real time temps from fireboard.io servers
# [[inputs.fireboard]]
#   ## Specify auth token for your account
#   auth_token = "invalidAuthToken"
#   ## You can override the fireboard server URL if necessary
#   # url = https://fireboard.io/api/v1/devices.json
#   ## You can set a different http_timeout if you need to
#   ## You should set a string using an number and time indicator
#   ## for example "12s" for 12 seconds.
#   # http_timeout = "4s"


# # Read metrics exposed by fluentd in_monitor plugin
# [[inputs.fluentd]]
#   ## This plugin reads information exposed by fluentd (using /api/plugins.json endpoint).
#   ##
#   ## Endpoint:
#   ## - only one URI is allowed
#   ## - https is not supported
#   endpoint = "http://localhost:24220/api/plugins.json"
#
#   ## Define which plugins have to be excluded (based on "type" field - e.g. monitor_agent)
#   exclude = [
#     "monitor_agent",
#     "dummy",
#   ]


# # Gather fritzbox status
# [[inputs.fritzbox]]
#   ## URLs of the devices to query including login credentials
#   urls = [ "http://user:password@fritz.box:49000/" ]
#
#   ## The information to collect (see README for further details).
#   # collect = [
#   #   "device",
#   #   "wan",
#   #   "ppp",
#   #   "dsl",
#   #   "wlan",
#   # ]
#
#   ## The http timeout to use.
#   # timeout = "10s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   # tls_key_pwd = "secret"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Gather repository information from GitHub hosted repositories.
# [[inputs.github]]
#   ## List of repositories to monitor
#   repositories = [
#     "influxdata/telegraf",
#     "influxdata/influxdb"
#   ]
#
#   ## Github API access token.  Unauthenticated requests are limited to 60 per hour.
#   # access_token = ""
#
#   ## Github API enterprise url. Github Enterprise accounts must specify their base url.
#   # enterprise_base_url = ""
#
#   ## Timeout for HTTP requests.
#   # http_timeout = "5s"
#
#   ## List of additional fields to query.
#   ## NOTE: Getting those fields might involve issuing additional API-calls, so please
#   ##       make sure you do not exceed the rate-limit of GitHub.
#   ##
#   ## Available fields are:
#   ##  - pull-requests -- number of open and closed pull requests (2 API-calls per repository)
#   # additional_fields = []


# # Gather metrics by iterating the files located on a Cloud Storage Bucket.
# [[inputs.google_cloud_storage]]
#   ## Required. Name of Cloud Storage bucket to ingest metrics from.
#   bucket = "my-bucket"
#
#   ## Optional. Prefix of Cloud Storage bucket keys to list metrics from.
#   # key_prefix = "my-bucket"
#
#   ## Key that will store the offsets in order to pick up where the ingestion was left.
#   offset_key = "offset_key"
#
#   ## Key that will store the offsets in order to pick up where the ingestion was left.
#   objects_per_iteration = 10
#
#   ## Required. Data format to consume.
#   ## Each data format has its own unique set of configuration options.
#   ## Read more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"
#
#   ## Optional. Filepath for GCP credentials JSON file to authorize calls to
#   ## Google Cloud Storage APIs. If not set explicitly, Telegraf will attempt to use
#   ## Application Default Credentials, which is preferred.
#   # credentials_file = "path/to/my/creds.json"


# # Read flattened metrics from one or more GrayLog HTTP endpoints
# [[inputs.graylog]]
#   ## API endpoint, currently supported API:
#   ##
#   ##   - multiple  (e.g. http://<host>:9000/api/system/metrics/multiple)
#   ##   - namespace (e.g. http://<host>:9000/api/system/metrics/namespace/{namespace})
#   ##
#   ## For namespace endpoint, the metrics array will be ignored for that call.
#   ## Endpoint can contain namespace and multiple type calls.
#   ##
#   ## Please check http://[graylog-server-ip]:9000/api/api-browser for full list
#   ## of endpoints
#   servers = [
#     "http://[graylog-server-ip]:9000/api/system/metrics/multiple",
#   ]
#
#   ## Set timeout (default 5 seconds)
#   # timeout = "5s"
#
#   ## Metrics list
#   ## List of metrics can be found on Graylog webservice documentation.
#   ## Or by hitting the web service api at:
#   ##   http://[graylog-host]:9000/api/system/metrics
#   metrics = [
#     "jvm.cl.loaded",
#     "jvm.memory.pools.Metaspace.committed"
#   ]
#
#   ## Username and password
#   username = ""
#   password = ""
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics of HAProxy, via stats socket or http endpoints
# [[inputs.haproxy]]
#   ## List of stats endpoints. Metrics can be collected from both http and socket
#   ## endpoints. Examples of valid endpoints:
#   ##   - http://myhaproxy.com:1936/haproxy?stats
#   ##   - https://myhaproxy.com:8000/stats
#   ##   - socket:/run/haproxy/admin.sock
#   ##   - /run/haproxy/*.sock
#   ##   - tcp://127.0.0.1:1936
#   ##
#   ## Server addresses not starting with 'http://', 'https://', 'tcp://' will be
#   ## treated as possible sockets. When specifying local socket, glob patterns are
#   ## supported.
#   servers = ["http://myhaproxy.com:1936/haproxy?stats"]
#
#   ## By default, some of the fields are renamed from what haproxy calls them.
#   ## Setting this option to true results in the plugin keeping the original
#   ## field names.
#   # keep_field_names = false
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Monitor disks' temperatures using hddtemp
# [[inputs.hddtemp]]
#   ## By default, telegraf gathers temps data from all disks detected by the
#   ## hddtemp.
#   ##
#   ## Only collect temps from the selected disks.
#   ##
#   ## A * as the device name will return the temperature values of all disks.
#   ##
#   # address = "127.0.0.1:7634"
#   # devices = ["sda", "*"]


# # HTTP/HTTPS request given an address a method and a timeout
# [[inputs.http_response]]
#   ## List of urls to query.
#   # urls = ["http://localhost"]
#
#   ## Set http_proxy.
#   ## Telegraf uses the system wide proxy settings if it's is not set.
#   # http_proxy = "http://localhost:8888"
#
#   ## Set response_timeout (default 5 seconds)
#   # response_timeout = "5s"
#
#   ## HTTP Request Method
#   # method = "GET"
#
#   ## Whether to follow redirects from the server (defaults to false)
#   # follow_redirects = false
#
#   ## Optional file with Bearer token
#   ## file content is added as an Authorization header
#   # bearer_token = "/path/to/file"
#
#   ## Optional HTTP Basic Auth Credentials
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Optional HTTP Request Body
#   # body = '''
#   # {'fake':'data'}
#   # '''
#
#   ## Optional HTTP Request Body Form
#   ## Key value pairs to encode and set at URL form. Can be used with the POST
#   ## method + application/x-www-form-urlencoded content type to replicate the
#   ## POSTFORM method.
#   # body_form = { "key": "value" }
#
#   ## Optional name of the field that will contain the body of the response.
#   ## By default it is set to an empty String indicating that the body's
#   ## content won't be added
#   # response_body_field = ''
#
#   ## Maximum allowed HTTP response body size in bytes.
#   ## 0 means to use the default of 32MiB.
#   ## If the response body size exceeds this limit a "body_read_error" will
#   ## be raised.
#   # response_body_max_size = "32MiB"
#
#   ## Optional substring or regex match in body of the response (case sensitive)
#   # response_string_match = "\"service_status\": \"up\""
#   # response_string_match = "ok"
#   # response_string_match = "\".*_status\".?:.?\"up\""
#
#   ## Expected response status code.
#   ## The status code of the response is compared to this value. If they match,
#   ## the field "response_status_code_match" will be 1, otherwise it will be 0.
#   ## If the expected status code is 0, the check is disabled and the field
#   ## won't be added.
#   # response_status_code = 0
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#   ## Use the given name as the SNI server name on each URL
#   # tls_server_name = ""
#   ## TLS renegotiation method, choose from "never", "once", "freely"
#   # tls_renegotiation_method = "never"
#
#   ## HTTP Request Headers (all values must be strings)
#   # [inputs.http_response.headers]
#   #   Host = "github.com"
#
#   ## Optional setting to map response http headers into tags
#   ## If the http header is not present on the request, no corresponding tag will
#   ## be added. If multiple instances of the http header are present, only the
#   ## first value will be used.
#   # http_header_tags = {"HTTP_HEADER" = "TAG_NAME"}
#
#   ## Interface to use when dialing an address
#   # interface = "eth0"
#
#   ## Optional Cookie authentication
#   # cookie_auth_url = "https://localhost/authMe"
#   # cookie_auth_method = "POST"
#   # cookie_auth_username = "username"
#   # cookie_auth_password = "pa$$word"
#   # cookie_auth_body = '{"username": "user", "password": "pa$$word", "authenticate": "me"}'
#   ## cookie_auth_renewal not set or set to "0" will auth once and never renew the cookie
#   # cookie_auth_renewal = "5m"


# # Gather smart home status from Hue Bridge
# [[inputs.huebridge]]
#   ## URL of bridges to query in the form <scheme>://<bridge id>:<user name>@<address>/
#   ## See documentation for available schemes.
#   bridges = [ "address://<bridge id>:<user name>@<bridge hostname or address>/" ]
#
#   ## Manual device to room assignments to apply during status evaluation.
#   ## E.g. for motion sensors which are reported without a room assignment.
#   # room_assignments = { "Motion sensor 1" = "Living room", "Motion sensor 2" = "Corridor" }
#
#   ## Timeout for gathering information
#   # timeout = "10s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   # tls_key_pwd = "secret"
#   ## Use TLS but skip chain & host verification


# # Gathers huge pages measurements.
# # This plugin ONLY supports Linux
# [[inputs.hugepages]]
#   ## Supported huge page types:
#   ##   - "root"     - based on root huge page control directory:
#   ##                  /sys/kernel/mm/hugepages
#   ##   - "per_node" - based on per NUMA node directories:
#   ##                  /sys/devices/system/node/node[0-9]*/hugepages
#   ##   - "meminfo"  - based on /proc/meminfo file
#   # types = ["root", "per_node"]


# # Gather Icinga2 status
# [[inputs.icinga2]]
#   ## Required Icinga2 server address
#   # server = "https://localhost:5665"
#
#   ## Collected Icinga2 objects ("services", "hosts")
#   ## Specify at least one object to collect from /v1/objects endpoint.
#   # objects = ["services"]
#
#   ## Collect metrics from /v1/status endpoint
#   ## Choose from:
#   ##     "ApiListener", "CIB", "IdoMysqlConnection", "IdoPgsqlConnection"
#   # status = []
#
#   ## Credentials for basic HTTP authentication
#   # username = "admin"
#   # password = "admin"
#
#   ## Maximum time to receive response.
#   # response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = true


# # Gets counters from all InfiniBand cards and ports installed
# # This plugin ONLY supports Linux
# [[inputs.infiniband]]
#   # no configuration
#
#   ## Collect RDMA counters
#   # gather_rdma = false


# # Read InfluxDB-formatted JSON metrics from one or more HTTP endpoints
# [[inputs.influxdb]]
#   ## Works with InfluxDB debug endpoints out of the box,
#   ## but other services can use this format too.
#   ## See the influxdb plugin's README for more details.
#
#   ## Multiple URLs from which to read InfluxDB-formatted JSON
#   ## Default is "http://localhost:8086/debug/vars".
#   urls = [
#     "http://localhost:8086/debug/vars"
#   ]
#
#   ## Username and password to send using HTTP Basic Authentication.
#   # username = ""
#   # password = ""
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## http request & header timeout
#   timeout = "5s"


# # Intel Baseband Accelerator Input Plugin collects metrics from both dedicated and integrated
# # Intel devices that provide Wireless Baseband hardware acceleration.
# # This plugin ONLY supports Linux.
# [[inputs.intel_baseband]]
#   ## Path to socket exposed by pf-bb-config for CLI interaction (mandatory).
#   ## In version v23.03 of pf-bb-config the path is created according to the schema:
#   ##   "/tmp/pf_bb_config.0000\:<b>\:<d>.<f>.sock" where 0000\:<b>\:<d>.<f> is the PCI device ID.
#   socket_path = ""
#
#   ## Path to log file exposed by pf-bb-config with telemetry to read (mandatory).
#   ## In version v23.03 of pf-bb-config the path is created according to the schema:
#   ##   "/var/log/pf_bb_cfg_0000\:<b>\:<d>.<f>.log" where 0000\:<b>\:<d>.<f> is the PCI device ID.
#   log_file_path = ""
#
#   ## Specifies plugin behavior regarding unreachable socket (which might not have been initialized yet).
#   ## Available choices:
#   ##   - error: Telegraf will return an error on startup if socket is unreachable
#   ##   - ignore: Telegraf will ignore error regarding unreachable socket on both startup and gather
#   # unreachable_socket_behavior = "error"
#
#   ## Duration that defines how long the connected socket client will wait for
#   ## a response before terminating connection.
#   ## Since it's local socket access to a fast packet processing application, the timeout should
#   ## be sufficient for most users.
#   ## Setting the value to 0 disables the timeout (not recommended).
#   # socket_access_timeout = "1s"
#
#   ## Duration that defines maximum time plugin will wait for pf-bb-config to write telemetry to the log file.
#   ## Timeout may differ depending on the environment.
#   ## Must be equal or larger than 50ms.
#   # wait_for_telemetry_timeout = "1s"


# ## Reads metrics from DPDK using v2 telemetry interface.
# ## This plugin ONLY supports Linux
# [[inputs.intel_dlb]]
#   ## Path to DPDK telemetry socket.
#   # socket_path = "/var/run/dpdk/rte/dpdk_telemetry.v2"
#
#   ## Default eventdev command list, it gathers metrics from socket by given commands.
#   ## Supported options:
#   ##   "/eventdev/dev_xstats", "/eventdev/port_xstats",
#   ##   "/eventdev/queue_xstats", "/eventdev/queue_links"
#   # eventdev_commands = ["/eventdev/dev_xstats", "/eventdev/port_xstats", "/eventdev/queue_xstats", "/eventdev/queue_links"]
#
#   ## Detect DLB devices based on device id.
#   ## Currently, only supported and tested device id is `0x2710`.
#   ## Configuration added to support forward compatibility.
#   # dlb_device_types = ["0x2710"]
#
#   ## Specifies plugin behavior regarding unreachable socket (which might not have been initialized yet).
#   ## Available choices:
#   ##   - error: Telegraf will return an error on startup if socket is unreachable
#   ##   - ignore: Telegraf will ignore error regarding unreachable socket on both startup and gather
#   # unreachable_socket_behavior = "error"


# # Intel Platform Monitoring Technology plugin exposes Intel PMT metrics available through the Intel PMT kernel space.
# # This plugin ONLY supports Linux.
# [[inputs.intel_pmt]]
#   ## Filepath to PMT XML within local copies of XML files from PMT repository.
#   ## The filepath should be absolute.
#   spec = "/home/telegraf/Intel-PMT/xml/pmt.xml"
#
#   ## Enable metrics by their datatype.
#   ## See the Enabling Metrics section in README for more details.
#   ## If empty, all metrics are enabled.
#   ## When used, the alternative option samples_enabled should NOT be used.
#   # datatypes_enabled = []
#
#   ## Enable metrics by their name.
#   ## See the Enabling Metrics section in README for more details.
#   ## If empty, all metrics are enabled.
#   ## When used, the alternative option datatypes_enabled should NOT be used.
#   # samples_enabled = []


# # Collect statistics about itself
# [[inputs.internal]]
#   ## If true, collect telegraf memory stats.
#   # collect_memstats = true
#
#   ## If true, collect metrics from Go's runtime.metrics. For a full list see:
#   ##   https://pkg.go.dev/runtime/metrics
#   # collect_gostats = false
#
#   ## Collect statistics per plugin instance and not per plugin type
#   # per_instance = false


# # Monitors internet speed using speedtest.net service
# [[inputs.internet_speed]]
#   ## This plugin downloads many MB of data each time it is run. As such
#   ## consider setting a higher interval for this plugin to reduce the
#   ## demand on your internet connection.
#   # interval = "60m"
#
#   ## Enable to reduce memory usage
#   # memory_saving_mode = false
#
#   ## Caches the closest server location
#   # cache = false
#
#   ## Number of concurrent connections
#   ## By default or set to zero, the number of CPU cores is used. Use this to
#   ## reduce the impact on system performance or to increase the connections on
#   ## faster connections to ensure the fastest speed.
#   # connections = 0
#
#   ## Test mode
#   ## By default, a single server is used for testing. This may work for most,
#   ## however, setting to "multi" will reach out to multiple servers in an
#   ## attempt to get closer to ideal internet speeds.
#   ## And "multi" will use all available servers to calculate average packet loss.
#   # test_mode = "single"
#
#   ## Server ID exclude filter
#   ## Allows the user to exclude or include specific server IDs received by
#   ## speedtest-go. Values in the exclude option will be skipped over. Values in
#   ## the include option are the only options that will be picked from.
#   ##
#   ## See the list of servers speedtest-go will return at:
#   ##     https://www.speedtest.net/api/js/servers?engine=js&limit=10
#   ##
#   # server_id_exclude = []
#   # server_id_include = []


# # This plugin gathers interrupts data from /proc/interrupts and /proc/softirqs.
# [[inputs.interrupts]]
#   ## When set to true, cpu metrics are tagged with the cpu.  Otherwise cpu is
#   ## stored as a field.
#   ##
#   ## The default is false for backwards compatibility, and will be changed to
#   ## true in a future version.  It is recommended to set to true on new
#   ## deployments.
#   # cpu_as_tag = false
#
#   ## To filter which IRQs to collect, make use of tagpass / tagdrop:
#   # [inputs.interrupts.tagdrop]
#   #   irq = [ "NET_RX", "TASKLET" ]


# # Read metrics from the bare metal servers via IPMI
# [[inputs.ipmi_sensor]]
#   ## Specify the path to the ipmitool executable
#   # path = "/usr/bin/ipmitool"
#
#   ## Use sudo
#   ## Setting 'use_sudo' to true will make use of sudo to run ipmitool.
#   ## Sudo must be configured to allow the telegraf user to run ipmitool
#   ## without a password.
#   # use_sudo = false
#
#   ## Servers
#   ## Specify one or more servers via a url. If no servers are specified, local
#   ## machine sensor stats will be queried. Uses the format:
#   ##  [username[:password]@][protocol[(address)]]
#   ##  e.g. root:passwd@lan(127.0.0.1)
#   # servers = ["USERID:PASSW0RD@lan(192.168.1.1)"]
#
#   ## Session privilege level
#   ## Choose from: CALLBACK, USER, OPERATOR, ADMINISTRATOR
#   # privilege = "ADMINISTRATOR"
#
#   ## Timeout
#   ## Timeout for the ipmitool command to complete.
#   # timeout = "20s"
#
#   ## Metric schema version
#   ## See the plugin readme for more information on schema versioning.
#   # metric_version = 1
#
#   ## Sensors to collect
#   ## Choose from:
#   ##   * sdr: default, collects sensor data records
#   ##   * chassis_power_status: collects the power status of the chassis
#   ##   * dcmi_power_reading: collects the power readings from the Data Center Management Interface
#   # sensors = ["sdr"]
#
#   ## Hex key
#   ## Optionally provide the hex key for the IMPI connection.
#   # hex_key = ""
#
#   ## Cache
#   ## If ipmitool should use a cache
#   ## Using a cache can speed up collection times depending on your device.
#   # use_cache = false
#
#   ## Path to the ipmitools cache file (defaults to OS temp dir)
#   ## The provided path must exist and must be writable
#   # cache_path = ""


# # Gather packets and bytes counters from Linux ipsets
#   [[inputs.ipset]]
#     ## By default, we only show sets which have already matched at least 1 packet.
#     ## set include_unmatched_sets = true to gather them all.
#     # include_unmatched_sets = false
#
#     ## Adjust your sudo settings appropriately if using this option ("sudo ipset save")
#     ## You can avoid using sudo or root, by setting appropriate privileges for
#     ## the telegraf.service systemd service.
#     # use_sudo = false
#
#     ## Add number of entries and number of individual IPs (resolve CIDR syntax) for each ipset
#     # count_per_ip_entries = false
#
#     ## The default timeout of 1s for ipset execution can be overridden here:
#     # timeout = "1s"


# # Gather packets and bytes throughput from iptables
# # This plugin ONLY supports Linux
# [[inputs.iptables]]
#   ## iptables require root access on most systems.
#   ## Setting 'use_sudo' to true will make use of sudo to run iptables.
#   ## Users must configure sudo to allow telegraf user to run iptables with
#   ## no password.
#   ## iptables can be restricted to only list command "iptables -nvL".
#   # use_sudo = false
#
#   ## Setting 'use_lock' to true runs iptables with the "-w" option.
#   ## Adjust your sudo settings appropriately if using this option
#   ## ("iptables -w 5 -nvl")
#   # use_lock = false
#
#   ## Define an alternate executable, such as "ip6tables". Default is "iptables".
#   # binary = "ip6tables"
#   ## defines the table to monitor:
#   table = "filter"
#
#   ## defines the chains to monitor.
#   ## NOTE: iptables rules without a comment will not be monitored.
#   ## Read the plugin documentation for more information.
#   chains = [ "INPUT" ]


# # Collect virtual and real server stats from Linux IPVS
# # This plugin ONLY supports Linux
# [[inputs.ipvs]]
#   # no configuration


# # Read jobs and cluster metrics from Jenkins instances
# [[inputs.jenkins]]
#   ## The Jenkins URL in the format "schema://host:port"
#   url = "http://my-jenkins-instance:8080"
#   # username = "admin"
#   # password = "admin"
#
#   ## Set response_timeout
#   response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use SSL but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Optional Max Job Build Age filter
#   ## Default 1 hour, ignore builds older than max_build_age
#   # max_build_age = "1h"
#
#   ## Optional Sub Job Depth filter
#   ## Jenkins can have unlimited layer of sub jobs
#   ## This config will limit the layers of pulling, default value 0 means
#   ## unlimited pulling until no more sub jobs
#   # max_subjob_depth = 0
#
#   ## Optional Sub Job Per Layer
#   ## In workflow-multibranch-plugin, each branch will be created as a sub job.
#   ## This config will limit to call only the lasted branches in each layer,
#   ## empty will use default value 10
#   # max_subjob_per_layer = 10
#
#   ## Jobs to include or exclude from gathering
#   ## When using both lists, job_exclude has priority.
#   ## Wildcards are supported: [ "jobA/*", "jobB/subjob1/*"]
#   # job_include = [ "*" ]
#   # job_exclude = [ ]
#
#   ## Nodes to include or exclude from gathering
#   ## When using both lists, node_exclude has priority.
#   # node_include = [ "*" ]
#   # node_exclude = [ ]
#
#   ## Worker pool for jenkins plugin only
#   ## Empty this field will use default value 5
#   # max_connections = 5
#
#   ## When set to true will add node labels as a comma-separated tag. If none,
#   ## are found, then a tag with the value of 'none' is used. Finally, if a
#   ## label contains a comma it is replaced with an underscore.
#   # node_labels_as_tag = false


# # Read JMX metrics from a Jolokia REST agent endpoint
# [[inputs.jolokia2_agent]]
#   # default_tag_prefix      = ""
#   # default_field_prefix    = ""
#   # default_field_separator = "."
#
#   # Add agents URLs to query
#   urls = ["http://localhost:8080/jolokia"]
#   # username = ""
#   # password = ""
#   # response_timeout = "5s"
#
#   ## Optional origin URL to include as a header in the request. Some endpoints
#   ## may reject an empty origin.
#   # origin = ""
#
#   ## Optional TLS config
#   # tls_ca   = "/var/private/ca.pem"
#   # tls_cert = "/var/private/client.pem"
#   # tls_key  = "/var/private/client-key.pem"
#   # insecure_skip_verify = false
#
#   ## Add metrics to read
#   [[inputs.jolokia2_agent.metric]]
#     name  = "java_runtime"
#     mbean = "java.lang:type=Runtime"
#     paths = ["Uptime"]


# # Read JMX metrics from a Jolokia REST proxy endpoint
# [[inputs.jolokia2_proxy]]
#   # default_tag_prefix      = ""
#   # default_field_prefix    = ""
#   # default_field_separator = "."
#
#   ## Proxy agent
#   url = "http://localhost:8080/jolokia"
#   # username = ""
#   # password = ""
#   # response_timeout = "5s"
#
#   ## Optional origin URL to include as a header in the request. Some endpoints
#   ## may reject an empty origin.
#   # origin = ""
#
#   ## Optional TLS config
#   # tls_ca   = "/var/private/ca.pem"
#   # tls_cert = "/var/private/client.pem"
#   # tls_key  = "/var/private/client-key.pem"
#   # insecure_skip_verify = false
#
#   ## Add proxy targets to query
#   # default_target_username = ""
#   # default_target_password = ""
#   [[inputs.jolokia2_proxy.target]]
#     url = "service:jmx:rmi:///jndi/rmi://targethost:9999/jmxrmi"
#     # username = ""
#     # password = ""
#
#   ## Add metrics to read
#   [[inputs.jolokia2_proxy.metric]]
#     name  = "java_runtime"
#     mbean = "java.lang:type=Runtime"
#     paths = ["Uptime"]


# # Read Kapacitor-formatted JSON metrics from one or more HTTP endpoints
# [[inputs.kapacitor]]
#   ## Multiple URLs from which to read Kapacitor-formatted JSON
#   ## Default is "http://localhost:9092/kapacitor/v1/debug/vars".
#   urls = [
#     "http://localhost:9092/kapacitor/v1/debug/vars"
#   ]
#
#   ## Time limit for http requests
#   timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Get kernel statistics from /proc/vmstat
# # This plugin ONLY supports Linux
# [[inputs.kernel_vmstat]]
#   # no configuration


# # Read metrics from the Kubernetes api
# [[inputs.kube_inventory]]
#   ## URL for the Kubernetes API.
#   ## If empty in-cluster config with POD's service account token will be used.
#   # url = ""
#
#   ## URL for the kubelet, if set it will be used to collect the pods resource metrics
#   # url_kubelet = "http://127.0.0.1:10255"
#
#   ## Namespace to use. Set to "" to use all namespaces.
#   # namespace = "default"
#
#   ## Node name to filter to. No filtering by default.
#   # node_name = ""
#
#   ## Use bearer token for authorization.
#   ## Ignored if url is empty and in-cluster config is used.
#   # bearer_token = "/var/run/secrets/kubernetes.io/serviceaccount/token"
#
#   ## Set response_timeout (default 5 seconds)
#   # response_timeout = "5s"
#
#   ## Optional Resources to exclude from gathering
#   ## Leave them with blank with try to gather everything available.
#   ## Values can be - "daemonsets", deployments", "endpoints", "ingress",
#   ## "nodes", "persistentvolumes", "persistentvolumeclaims", "pods", "services",
#   ## "statefulsets"
#   # resource_exclude = [ "deployments", "nodes", "statefulsets" ]
#
#   ## Optional Resources to include when gathering
#   ## Overrides resource_exclude if both set.
#   # resource_include = [ "deployments", "nodes", "statefulsets" ]
#
#   ## selectors to include and exclude as tags.  Globs accepted.
#   ## Note that an empty array for both will include all selectors as tags
#   ## selector_exclude overrides selector_include if both set.
#   # selector_include = []
#   # selector_exclude = ["*"]
#
#   ## Optional TLS Config
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Uncomment to remove deprecated metrics.
#   # fieldexclude = ["terminated_reason"]


# # Read metrics from the kubernetes kubelet api
# [[inputs.kubernetes]]
#   ## URL for the kubelet, if empty read metrics from all nodes in the cluster
#   url = "http://127.0.0.1:10255"
#
#   ## Use bearer token for authorization. ('bearer_token' takes priority)
#   ## If both of these are empty, we'll use the default serviceaccount:
#   ## at: /var/run/secrets/kubernetes.io/serviceaccount/token
#   ##
#   ## To re-read the token at each interval, please use a file with the
#   ## bearer_token option. If given a string, Telegraf will always use that
#   ## token.
#   # bearer_token = "/var/run/secrets/kubernetes.io/serviceaccount/token"
#   ## OR
#   # bearer_token_string = "abc_123"
#
#   ## Kubernetes Node Metric Name
#   ## The default Kubernetes node metric name (kubernetes_node) is the same
#   ## for the kubernetes and kube_inventory plugins. To avoid conflicts, set this
#   ## option to a different value.
#   # node_metric_name = "kubernetes_node"
#
#   ## Pod labels to be added as tags.  An empty array for both include and
#   ## exclude will include all labels.
#   # label_include = []
#   # label_exclude = ["*"]
#
#   ## Set response_timeout (default 5 seconds)
#   # response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = /path/to/cafile
#   # tls_cert = /path/to/certfile
#   # tls_key = /path/to/keyfile
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # LDAP monitoring plugin
# [[inputs.ldap]]
#   ## Server to monitor
#   ## The scheme determines the mode to use for connection with
#   ##    ldap://...      -- unencrypted (non-TLS) connection
#   ##    ldaps://...     -- TLS connection
#   ##    starttls://...  --  StartTLS connection
#   ##    ldapi://...     -- UNIX socket connection
#   ## If no port is given, the default ports, 389 for ldap and starttls and
#   ## 636 for ldaps, are used, there is no port on UNIX sockets.
#   server = "ldap://localhost"
#
#   ## Server dialect, can be "openldap" or "389ds"
#   # dialect = "openldap"
#
#   # What sort of Bind to use
#   ## Empty or "simple" means to use a simple LDAP bind, otherwise use a
#   ## specified SASL mechanism (only EXTERNAL currently supported - for TLS
#   ## client certs or UNIX credentials)
#   # bind_mechanism = "simple"
#
#   # DN and password to bind with
#   ## If bind_dn is empty an anonymous bind is performed.
#   bind_dn = ""
#   bind_password = ""
#
#   ## Reverse the field names constructed from the monitoring DN
#   # reverse_field_names = false
#
#   ## Optional TLS Config
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable =
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Password for the key file if it is encrypted
#   # tls_key_pwd = ""
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Minimal TLS version to accept by the client
#   # tls_min_version = "TLS12"
#   ## List of ciphers to accept, by default all secure ciphers will be accepted
#   ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
#   ## Use "all", "secure" and "insecure" to add all support ciphers, secure
#   ## suites or insecure suites respectively.
#   # tls_cipher_suites = ["secure"]
#   ## Renegotiation method, "never", "once" or "freely"
#   # tls_renegotiation_method = "never"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics from a LeoFS Server via SNMP
# [[inputs.leofs]]
#   ## An array of URLs of the form:
#   ##   host [ ":" port]
#   servers = ["127.0.0.1:4010"]


# # The libvirt plugin collects statistics from virtualized guests using virtualization libvirt API.
# [[inputs.libvirt]]
#      ## Domain names from which libvirt gather statistics.
#      ## By default (empty or missing array) the plugin gather statistics from each domain registered in the host system.
#      # domains = []
#
#      ## Libvirt connection URI with hypervisor.
#      ## The plugin supports multiple transport protocols and approaches which are configurable via the URI.
#      ## The general URI form: driver[+transport]://[username@][hostname][:port]/[path][?extraparameters]
#      ## Supported transport protocols: ssh, tcp, tls, unix
#      ## URI examples for each type of transport protocol:
#      ## 1. SSH:  qemu+ssh://<USER@IP_OR_HOSTNAME>/system?keyfile=/<PATH_TO_PRIVATE_KEY>&known_hosts=/<PATH_TO_known_hosts>
#      ## 2. TCP:  qemu+tcp://<IP_OR_HOSTNAME>/system
#      ## 3. TLS:  qemu+tls://<HOSTNAME>/system?pkipath=/certs_dir/<COMMON_LOCATION_OF_CACERT_AND_SERVER_CLIENT_CERTS>
#      ## 4. UNIX: qemu+unix:///system?socket=/<PATH_TO_libvirt-sock>
#      ## Default URI is qemu:///system
#      # libvirt_uri = "qemu:///system"
#
#      ## Statistics groups for which libvirt plugin will gather statistics.
#      ## Supported statistics groups: state, cpu_total, balloon, vcpu, interface, block, perf, iothread, memory, dirtyrate
#      ## Empty array means no metrics for statistics groups will be exposed by the plugin.
#      ## By default the plugin will gather all available statistics.
#      # statistics_groups = ["state", "cpu_total", "balloon", "vcpu", "interface", "block", "perf", "iothread", "memory", "dirtyrate"]
#
#      ## A list containing additional statistics to be exposed by libvirt plugin.
#      ## Supported additional statistics: vcpu_mapping
#      ## By default (empty or missing array) the plugin will not collect additional statistics.
#      # additional_statistics = []
#


# # Provides Linux CPU metrics
# # This plugin ONLY supports Linux
# [[inputs.linux_cpu]]
#   ## Path for sysfs filesystem.
#   ## See https://www.kernel.org/doc/Documentation/filesystems/sysfs.txt
#   ## Defaults:
#   # host_sys = "/sys"
#
#   ## CPU metrics collected by the plugin.
#   ## Supported options:
#   ## "cpufreq", "thermal"
#   ## Defaults:
#   # metrics = ["cpufreq"]


# # Provides Linux sysctl fs metrics
# [[inputs.linux_sysctl_fs]]
#   # no configuration


# # Read metrics from local Lustre service on OST, MDS
# # This plugin ONLY supports Linux
# [[inputs.lustre2]]
#   ## An array of /proc globs to search for Lustre stats
#   ## If not specified, the default will work on Lustre 2.12.x
#   ##
#   # mgs_procfiles = [
#   #   "/sys/fs/lustre/mgs/*/eviction_count",
#   # ]
#   # ost_procfiles = [
#   #   "/proc/fs/lustre/obdfilter/*/stats",
#   #   "/proc/fs/lustre/osd-ldiskfs/*/stats",
#   #   "/proc/fs/lustre/obdfilter/*/job_stats",
#   #   "/proc/fs/lustre/obdfilter/*/exports/*/stats",
#   #   "/proc/fs/lustre/osd-ldiskfs/*/brw_stats",
#   #   "/proc/fs/lustre/osd-zfs/*/brw_stats",
#   #   "/sys/fs/lustre/odbfilter/*/eviction_count",
#   # ]
#   # mds_procfiles = [
#   #   "/proc/fs/lustre/mdt/*/md_stats",
#   #   "/proc/fs/lustre/mdt/*/job_stats",
#   #   "/proc/fs/lustre/mdt/*/exports/*/stats",
#   #   "/proc/fs/lustre/osd-ldiskfs/*/brw_stats",
#   #   "/proc/fs/lustre/osd-zfs/*/brw_stats",
#   #   "/sys/fs/lustre/mdt/*/eviction_count",
#   # ]


# # Read metrics about LVM physical volumes, volume groups, logical volumes.
# [[inputs.lvm]]
#   ## Use sudo to run LVM commands
#   use_sudo = false
#
#   ## The default location of the pvs binary can be overridden with:
#   #pvs_binary = "/usr/sbin/pvs"
#
#   ## The default location of the vgs binary can be overridden with:
#   #vgs_binary = "/usr/sbin/vgs"
#
#   ## The default location of the lvs binary can be overridden with:
#   #lvs_binary = "/usr/sbin/lvs"


# # Gathers metrics from the /3.0/reports MailChimp API
# [[inputs.mailchimp]]
#   ## MailChimp API key
#   ## get from https://admin.mailchimp.com/account/api/
#   api_key = "" # required
#
#   ## Reports for campaigns sent more than days_old ago will not be collected.
#   ## 0 means collect all and is the default value.
#   days_old = 0
#
#   ## Campaign ID to get, if empty gets all campaigns, this option overrides days_old
#   # campaign_id = ""


# # Retrieves information on a specific host in a MarkLogic Cluster
# [[inputs.marklogic]]
#   ## Base URL of the MarkLogic HTTP Server.
#   url = "http://localhost:8002"
#
#   ## List of specific hostnames to retrieve information. At least (1) required.
#   # hosts = ["hostname1", "hostname2"]
#
#   ## Using HTTP Basic Authentication. Management API requires 'manage-user' role privileges
#   # username = "myuser"
#   # password = "mypassword"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics from one or many mcrouter servers.
# [[inputs.mcrouter]]
#   ## An array of address to gather stats about. Specify an ip or hostname
#   ## with port. ie tcp://localhost:11211, tcp://10.0.0.1:11211, etc.
#   servers = ["tcp://localhost:11211", "unix:///var/run/mcrouter.sock"]
#
#   ## Timeout for metric collections from all servers.  Minimum timeout is "1s".
#   # timeout = "5s"


# # Get kernel statistics from /proc/mdstat
# # This plugin ONLY supports Linux
# [[inputs.mdstat]]
#   ## Sets file path
#   ## If not specified, then default is /proc/mdstat
#   # file_name = "/proc/mdstat"


# # Read metrics from one or many memcached servers.
# [[inputs.memcached]]
#   # An array of address to gather stats about. Specify an ip on hostname
#   # with optional port. ie localhost, 10.0.0.1:11211, etc.
#   servers = ["localhost:11211"]
#   # An array of unix memcached sockets to gather stats about.
#   # unix_sockets = ["/var/run/memcached.sock"]
#
#   ## Optional TLS Config
#   # enable_tls = false
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## If false, skip chain & host verification
#   # insecure_skip_verify = true


# # Telegraf plugin for gathering metrics from N Mesos masters
# [[inputs.mesos]]
#   ## Timeout, in ms.
#   timeout = 100
#
#   ## A list of Mesos masters.
#   masters = ["http://localhost:5050"]
#
#   ## Master metrics groups to be collected, by default, all enabled.
#   master_collections = [
#     "resources",
#     "master",
#     "system",
#     "agents",
#     "frameworks",
#     "framework_offers",
#     "tasks",
#     "messages",
#     "evqueue",
#     "registrar",
#     "allocator",
#   ]
#
#   ## A list of Mesos slaves, default is []
#   # slaves = []
#
#   ## Slave metrics groups to be collected, by default, all enabled.
#   # slave_collections = [
#   #   "resources",
#   #   "agent",
#   #   "system",
#   #   "executors",
#   #   "tasks",
#   #   "messages",
#   # ]
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Collects scores from a Minecraft server's scoreboard using the RCON protocol
# [[inputs.minecraft]]
#   ## Address of the Minecraft server.
#   # server = "localhost"
#
#   ## Server RCON Port.
#   # port = "25575"
#
#   ## Server RCON Password.
#   password = ""
#
#   ## Uncomment to remove deprecated metric components.
#   # tagdrop = ["server"]


# # Generate metrics for test and demonstration purposes
# [[inputs.mock]]
#   ## Set the metric name to use for reporting
#   metric_name = "mock"
#
#   ## Optional string key-value pairs of tags to add to all metrics
#   # [inputs.mock.tags]
#   # "key" = "value"
#
#   ## One or more mock data fields *must* be defined.
#   # [[inputs.mock.constant]]
#   #   name = "constant"
#   #   value = value_of_any_type
#   # [[inputs.mock.random]]
#   #   name = "rand"
#   #   min = 1.0
#   #   max = 6.0
#   # [[inputs.mock.sine_wave]]
#   #   name = "wave"
#   #   amplitude = 1.0
#   #   period = 0.5
#   #   phase = 20.0
#   #   base_line = 0.0
#   # [[inputs.mock.step]]
#   #   name = "plus_one"
#   #   start = 0.0
#   #   step = 1.0
#   # [[inputs.mock.stock]]
#   #   name = "abc"
#   #   price = 50.00
#   #   volatility = 0.2


# # Retrieve data from MODBUS slave devices
# [[inputs.modbus]]
#   ## Connection Configuration
#   ##
#   ## The plugin supports connections to PLCs via MODBUS/TCP, RTU over TCP, ASCII over TCP or
#   ## via serial line communication in binary (RTU) or readable (ASCII) encoding
#   ##
#   ## Device name
#   name = "Device"
#
#   ## Slave ID - addresses a MODBUS device on the bus
#   ## Range: 0 - 255 [0 = broadcast; 248 - 255 = reserved]
#   slave_id = 1
#
#   ## Timeout for each request
#   timeout = "1s"
#
#   ## Maximum number of retries and the time to wait between retries
#   ## when a slave-device is busy.
#   # busy_retries = 0
#   # busy_retries_wait = "100ms"
#
#   # TCP - connect via Modbus/TCP
#   controller = "tcp://localhost:502"
#
#   ## Serial (RS485; RS232)
#   ## For RS485 specific setting check the end of the configuration.
#   ## For unix-like operating systems use:
#   # controller = "file:///dev/ttyUSB0"
#   ## For Windows operating systems use:
#   # controller = "COM1"
#   # baud_rate = 9600
#   # data_bits = 8
#   # parity = "N"
#   # stop_bits = 1
#
#   ## Transmission mode for Modbus packets depending on the controller type.
#   ## For Modbus over TCP you can choose between "TCP" , "RTUoverTCP" and
#   ## "ASCIIoverTCP".
#   ## For Serial controllers you can choose between "RTU" and "ASCII".
#   ## By default this is set to "auto" selecting "TCP" for ModbusTCP connections
#   ## and "RTU" for serial connections.
#   # transmission_mode = "auto"
#
#   ## Trace the connection to the modbus device
#   # log_level = "trace"
#
#   ## Define the configuration schema
#   ##  |---register -- define fields per register type in the original style (only supports one slave ID)
#   ##  |---request  -- define fields on a requests base
#   ##  |---metric   -- define fields on a metric base
#   configuration_type = "register"
#
#   ## Exclude the register type tag
#   ## Please note, this will also influence the grouping of metrics as you won't
#   ## see one metric per register type anymore!
#   # exclude_register_type_tag = false
#   ## --- "register" configuration style ---
#
#   ## Measurements
#   ##
#
#   ## Digital Variables, Discrete Inputs and Coils
#   ## measurement - the (optional) measurement name, defaults to "modbus"
#   ## name        - the variable name
#   ## data_type   - the (optional) output type, can be BOOL or UINT16 (default)
#   ## address     - variable address
#
#   discrete_inputs = [
#     { name = "start",          address = [0]},
#     { name = "stop",           address = [1]},
#     { name = "reset",          address = [2]},
#     { name = "emergency_stop", address = [3]},
#   ]
#   coils = [
#     { name = "motor1_run",     address = [0]},
#     { name = "motor1_jog",     address = [1]},
#     { name = "motor1_stop",    address = [2]},
#   ]
#
#   ## Analog Variables, Input Registers and Holding Registers
#   ## measurement - the (optional) measurement name, defaults to "modbus"
#   ## name        - the variable name
#   ## byte_order  - the ordering of bytes
#   ##  |---AB, ABCD   - Big Endian
#   ##  |---BA, DCBA   - Little Endian
#   ##  |---BADC       - Mid-Big Endian
#   ##  |---CDAB       - Mid-Little Endian
#   ## data_type   - BIT (single bit of a register)
#   ##               INT8L, INT8H, UINT8L, UINT8H (low and high byte variants)
#   ##               INT16, UINT16, INT32, UINT32, INT64, UINT64,
#   ##               FLOAT16-IEEE, FLOAT32-IEEE, FLOAT64-IEEE (IEEE 754 binary representation)
#   ##               FIXED, UFIXED (fixed-point representation on input)
#   ##               STRING (byte-sequence converted to string)
#   ## bit         - (optional) bit of the register, ONLY valid for BIT type
#   ## scale       - the final numeric variable representation
#   ## address     - variable address
#
#   holding_registers = [
#     { name = "power_factor", byte_order = "AB",   data_type = "FIXED", scale=0.01,  address = [8]},
#     { name = "voltage",      byte_order = "AB",   data_type = "FIXED", scale=0.1,   address = [0]},
#     { name = "energy",       byte_order = "ABCD", data_type = "FIXED", scale=0.001, address = [5,6]},
#     { name = "current",      byte_order = "ABCD", data_type = "FIXED", scale=0.001, address = [1,2]},
#     { name = "frequency",    byte_order = "AB",   data_type = "UFIXED", scale=0.1,  address = [7]},
#     { name = "power",        byte_order = "ABCD", data_type = "UFIXED", scale=0.1,  address = [3,4]},
#     { name = "firmware",     byte_order = "AB",   data_type = "STRING", address = [5, 6, 7, 8, 9, 10, 11, 12]},
#   ]
#   input_registers = [
#     { name = "tank_level",   byte_order = "AB",   data_type = "INT16",   scale=1.0,     address = [0]},
#     { name = "tank_ph",      byte_order = "AB",   data_type = "INT16",   scale=1.0,     address = [1]},
#     { name = "pump1_speed",  byte_order = "ABCD", data_type = "INT32",   scale=1.0,     address = [3,4]},
#   ]
#
#   ## --- "request" configuration style ---
#
#   ## Per request definition
#   ##
#
#   ## Define a request sent to the device
#   ## Multiple of those requests can be defined. Data will be collated into metrics at the end of data collection.
#   [[inputs.modbus.request]]
#     ## ID of the modbus slave device to query.
#     ## If you need to query multiple slave-devices, create several "request" definitions.
#     slave_id = 1
#
#     ## Byte order of the data.
#     ##  |---ABCD -- Big Endian (Motorola)
#     ##  |---DCBA -- Little Endian (Intel)
#     ##  |---BADC -- Big Endian with byte swap
#     ##  |---CDAB -- Little Endian with byte swap
#     byte_order = "ABCD"
#
#     ## Type of the register for the request
#     ## Can be "coil", "discrete", "holding" or "input"
#     register = "coil"
#
#     ## Name of the measurement.
#     ## Can be overridden by the individual field definitions. Defaults to "modbus"
#     # measurement = "modbus"
#
#     ## Request optimization algorithm.
#     ##  |---none       -- Do not perform any optimization and use the given layout(default)
#     ##  |---shrink     -- Shrink requests to actually requested fields
#     ##  |                 by stripping leading and trailing omits
#     ##  |---rearrange  -- Rearrange request boundaries within consecutive address ranges
#     ##  |                 to reduce the number of requested registers by keeping
#     ##  |                 the number of requests.
#     ##  |---max_insert -- Rearrange request keeping the number of extra fields below the value
#     ##                    provided in "optimization_max_register_fill". It is not necessary to define 'omitted'
#     ##                    fields as the optimisation will add such field only where needed.
#     # optimization = "none"
#
#     ## Maximum number register the optimizer is allowed to insert between two fields to
#     ## save requests.
#     ## This option is only used for the 'max_insert' optimization strategy.
#     ## NOTE: All omitted fields are ignored, so this option denotes the effective hole
#     ## size to fill.
#     # optimization_max_register_fill = 50
#
#     ## Field definitions
#     ## Analog Variables, Input Registers and Holding Registers
#     ## address        - address of the register to query. For coil and discrete inputs this is the bit address.
#     ## name *1        - field name
#     ## type *1,2      - type of the modbus field, can be
#     ##                  BIT (single bit of a register)
#     ##                  INT8L, INT8H, UINT8L, UINT8H (low and high byte variants)
#     ##                  INT16, UINT16, INT32, UINT32, INT64, UINT64 and
#     ##                  FLOAT16, FLOAT32, FLOAT64 (IEEE 754 binary representation)
#     ##                  STRING (byte-sequence converted to string)
#     ## length *1,2    - (optional) number of registers, ONLY valid for STRING type
#     ## bit *1,2       - (optional) bit of the register, ONLY valid for BIT type
#     ## scale *1,2,4   - (optional) factor to scale the variable with
#     ## output *1,3,4  - (optional) type of resulting field, can be INT64, UINT64 or FLOAT64.
#     ##                  Defaults to FLOAT64 for numeric fields if "scale" is provided.
#     ##                  Otherwise the input "type" class is used (e.g. INT* -> INT64).
#     ## measurement *1 - (optional) measurement name, defaults to the setting of the request
#     ## omit           - (optional) omit this field. Useful to leave out single values when querying many registers
#     ##                  with a single request. Defaults to "false".
#     ##
#     ## *1: These fields are ignored if field is omitted ("omit"=true)
#     ## *2: These fields are ignored for both "coil" and "discrete"-input type of registers.
#     ## *3: This field can only be "UINT16" or "BOOL" if specified for both "coil"
#     ##     and "discrete"-input type of registers. By default the fields are
#     ##     output as zero or one in UINT16 format unless "BOOL" is used.
#     ## *4: These fields cannot be used with "STRING"-type fields.
#
#     ## Coil / discrete input example
#     fields = [
#       { address=0, name="motor1_run" },
#       { address=1, name="jog", measurement="motor" },
#       { address=2, name="motor1_stop", omit=true },
#       { address=3, name="motor1_overheating", output="BOOL" },
#       { address=4, name="firmware", type="STRING", length=8 },
#     ]
#
#     [inputs.modbus.request.tags]
#       machine = "impresser"
#       location = "main building"
#
#   [[inputs.modbus.request]]
#     ## Holding example
#     ## All of those examples will result in FLOAT64 field outputs
#     slave_id = 1
#     byte_order = "DCBA"
#     register = "holding"
#     fields = [
#       { address=0, name="voltage",      type="INT16",   scale=0.1   },
#       { address=1, name="current",      type="INT32",   scale=0.001 },
#       { address=3, name="power",        type="UINT32",  omit=true   },
#       { address=5, name="energy",       type="FLOAT32", scale=0.001, measurement="W" },
#       { address=7, name="frequency",    type="UINT32",  scale=0.1   },
#       { address=8, name="power_factor", type="INT64",   scale=0.01  },
#     ]
#
#     [inputs.modbus.request.tags]
#       machine = "impresser"
#       location = "main building"
#
#   [[inputs.modbus.request]]
#     ## Input example with type conversions
#     slave_id = 1
#     byte_order = "ABCD"
#     register = "input"
#     fields = [
#       { address=0, name="rpm",         type="INT16"                   },  # will result in INT64 field
#       { address=1, name="temperature", type="INT16", scale=0.1        },  # will result in FLOAT64 field
#       { address=2, name="force",       type="INT32", output="FLOAT64" },  # will result in FLOAT64 field
#       { address=4, name="hours",       type="UINT32"                  },  # will result in UIN64 field
#     ]
#
#     [inputs.modbus.request.tags]
#       machine = "impresser"
#       location = "main building"
#
#   ## --- "metric" configuration style ---
#
#   ## Per metric definition
#   ##
#
#   ## Request optimization algorithm across metrics
#   ##  |---none       -- Do not perform any optimization and just group requests
#   ##  |                 within metrics (default)
#   ##  |---max_insert -- Collate registers across all defined metrics and fill in
#   ##                    holes to optimize the number of requests.
#   # optimization = "none"
#
#   ## Maximum number of registers the optimizer is allowed to insert between
#   ## non-consecutive registers to save requests.
#   ## This option is only used for the 'max_insert' optimization strategy and
#   ## effectively denotes the hole size between registers to fill.
#   # optimization_max_register_fill = 50
#
#   ## Define a metric produced by the requests to the device
#   ## Multiple of those metrics can be defined. The referenced registers will
#   ## be collated into requests send to the device
#   [[inputs.modbus.metric]]
#     ## ID of the modbus slave device to query
#     ## If you need to query multiple slave-devices, create several "metric" definitions.
#     slave_id = 1
#
#     ## Byte order of the data
#     ##  |---ABCD -- Big Endian (Motorola)
#     ##  |---DCBA -- Little Endian (Intel)
#     ##  |---BADC -- Big Endian with byte swap
#     ##  |---CDAB -- Little Endian with byte swap
#     # byte_order = "ABCD"
#
#     ## Name of the measurement
#     # measurement = "modbus"
#
#     ## Field definitions
#     ## register    - type of the modbus register, can be "coil", "discrete",
#     ##               "holding" or "input". Defaults to "holding".
#     ## address     - address of the register to query. For coil and discrete inputs this is the bit address.
#     ## name        - field name
#     ## type *1     - type of the modbus field, can be
#     ##                 BIT (single bit of a register)
#     ##                 INT8L, INT8H, UINT8L, UINT8H (low and high byte variants)
#     ##                 INT16, UINT16, INT32, UINT32, INT64, UINT64 and
#     ##                 FLOAT16, FLOAT32, FLOAT64 (IEEE 754 binary representation)
#     ##                 STRING (byte-sequence converted to string)
#     ## length *1   - (optional) number of registers, ONLY valid for STRING type
#     ## bit *1,2    - (optional) bit of the register, ONLY valid for BIT type
#     ## scale *1,3  - (optional) factor to scale the variable with
#     ## output *2,3 - (optional) type of resulting field, can be INT64, UINT64 or FLOAT64. Defaults to FLOAT64 if
#     ##               "scale" is provided and to the input "type" class otherwise (INT* -> INT64, etc).
#     ##
#     ## *1: These fields are ignored for both "coil" and "discrete"-input type of registers.
#     ## *2: This field can only be "UINT16" or "BOOL" if specified for both "coil"
#     ##     and "discrete"-input type of registers. By default the fields are
#     ##     output as zero or one in UINT16 format unless "BOOL" is used.
#     ## *3: These fields cannot be used with "STRING"-type fields.
#     fields = [
#       { register="coil",    address=0, name="door_open"},
#       { register="coil",    address=1, name="status_ok"},
#       { register="holding", address=0, name="voltage",      type="INT16"   },
#       { address=1, name="current",      type="INT32",   scale=0.001 },
#       { address=5, name="energy",       type="FLOAT32", scale=0.001 },
#       { address=7, name="frequency",    type="UINT32",  scale=0.1   },
#       { address=8, name="power_factor", type="INT64",   scale=0.01  },
#       { address=9, name="firmware",     type="STRING",  length=8    },
#     ]
#
#     ## Tags assigned to the metric
#     # [inputs.modbus.metric.tags]
#     #   machine = "impresser"
#     #   location = "main building"
#
#
#   ## RS485 specific settings. Only take effect for serial controllers.
#   ## Note: This has to be at the end of the modbus configuration due to
#   ## TOML constraints.
#   # [inputs.modbus.rs485]
#     ## Delay RTS prior to sending
#     # delay_rts_before_send = "0ms"
#     ## Delay RTS after to sending
#     # delay_rts_after_send = "0ms"
#     ## Pull RTS line to high during sending
#     # rts_high_during_send = false
#     ## Pull RTS line to high after sending
#     # rts_high_after_send = false
#     ## Enabling receiving (Rx) during transmission (Tx)
#     # rx_during_tx = false
#
#   ## Enable workarounds required by some devices to work correctly
#   # [inputs.modbus.workarounds]
#     ## Pause after connect delays the first request by the specified time.
#     ## This might be necessary for (slow) devices.
#     # pause_after_connect = "0ms"
#
#     ## Pause between read requests sent to the device.
#     ## This might be necessary for (slow) serial devices.
#     # pause_between_requests = "0ms"
#
#     ## Close the connection after every gather cycle.
#     ## Usually the plugin closes the connection after a certain idle-timeout,
#     ## however, if you query a device with limited simultaneous connectivity
#     ## (e.g. serial devices) from multiple instances you might want to only
#     ## stay connected during gather and disconnect afterwards.
#     # close_connection_after_gather = false
#
#     ## Force the plugin to read each field in a separate request.
#     ## This might be necessary for devices not conforming to the spec,
#     ## see https://github.com/influxdata/telegraf/issues/12071.
#     # one_request_per_field = false
#
#     ## Enforce the starting address to be zero for the first request on
#     ## coil registers. This is necessary for some devices see
#     ## https://github.com/influxdata/telegraf/issues/8905
#     # read_coils_starting_at_zero = false
#
#     ## String byte-location in registers AFTER byte-order conversion
#     ## Some device (e.g. EM340) place the string byte in only the upper or
#     ## lower byte location of a register see
#     ## https://github.com/influxdata/telegraf/issues/14748
#     ## Available settings:
#     ##   lower -- use only lower byte of the register (00XX 00XX 00XX 00XX)
#     ##   upper -- use only upper byte of the register (XX00 XX00 XX00 XX00)
#     ## By default both bytes of the register are used (XXXX XXXX).
#     # string_register_location = ""


# # Read metrics and status information about processes managed by Monit
# [[inputs.monit]]
#   ## Monit HTTPD address
#   address = "http://127.0.0.1:2812"
#
#   ## Username and Password for Monit
#   # username = ""
#   # password = ""
#
#   ## Amount of time allowed to complete the HTTP request
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Aggregates the contents of multiple files into a single point
# [[inputs.multifile]]
#   ## Base directory where telegraf will look for files.
#   ## Omit this option to use absolute paths.
#   base_dir = "/sys/bus/i2c/devices/1-0076/iio:device0"
#
#   ## If true discard all data when a single file can't be read.
#   ## Else, Telegraf omits the field generated from this file.
#   # fail_early = true
#
#   ## Files to parse each interval.
#   [[inputs.multifile.file]]
#     file = "in_pressure_input"
#     dest = "pressure"
#     conversion = "float"
#   [[inputs.multifile.file]]
#     file = "in_temp_input"
#     dest = "temperature"
#     conversion = "float(3)"
#   [[inputs.multifile.file]]
#     file = "in_humidityrelative_input"
#     dest = "humidityrelative"
#     conversion = "float(3)"


# # Read metrics from one or many mysql servers
# [[inputs.mysql]]
#   ## specify servers via a url matching:
#   ##  [username[:password]@][protocol[(address)]]/[?tls=[true|false|skip-verify|custom]]
#   ##  see https://github.com/go-sql-driver/mysql#dsn-data-source-name
#   ##  e.g.
#   ##    servers = ["user:passwd@tcp(127.0.0.1:3306)/?tls=false"]
#   ##    servers = ["user@tcp(127.0.0.1:3306)/?tls=false"]
#   #
#   ## If no servers are specified, then localhost is used as the host.
#   servers = ["tcp(127.0.0.1:3306)/"]
#
#   ## Selects the metric output format.
#   ##
#   ## This option exists to maintain backwards compatibility, if you have
#   ## existing metrics do not set or change this value until you are ready to
#   ## migrate to the new format.
#   ##
#   ## If you do not have existing metrics from this plugin set to the latest
#   ## version.
#   ##
#   ## Telegraf >=1.6: metric_version = 2
#   ##           <1.6: metric_version = 1 (or unset)
#   metric_version = 2
#
#   ## if the list is empty, then metrics are gathered from all database tables
#   # table_schema_databases = []
#
#   ## gather metrics from INFORMATION_SCHEMA.TABLES for databases provided
#   ## in the list above
#   # gather_table_schema = false
#
#   ## gather thread state counts from INFORMATION_SCHEMA.PROCESSLIST
#   # gather_process_list = false
#
#   ## gather user statistics from INFORMATION_SCHEMA.USER_STATISTICS
#   # gather_user_statistics = false
#
#   ## gather auto_increment columns and max values from information schema
#   # gather_info_schema_auto_inc = false
#
#   ## gather metrics from INFORMATION_SCHEMA.INNODB_METRICS
#   # gather_innodb_metrics = false
#
#   ## gather metrics from all channels from SHOW SLAVE STATUS command output
#   # gather_all_slave_channels = false
#
#   ## gather metrics from SHOW SLAVE STATUS command output
#   # gather_slave_status = false
#
#   ## gather metrics from SHOW REPLICA STATUS command output
#   # gather_replica_status = false
#
#   ## use SHOW ALL SLAVES STATUS command output for MariaDB
#   ## use SHOW ALL REPLICAS STATUS command if enable gather replica status
#   # mariadb_dialect = false
#
#   ## gather metrics from SHOW BINARY LOGS command output
#   # gather_binary_logs = false
#
#   ## gather metrics from SHOW GLOBAL VARIABLES command output
#   # gather_global_variables = true
#
#   ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMARY_BY_TABLE
#   # gather_table_io_waits = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.TABLE_LOCK_WAITS
#   # gather_table_lock_waits = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMARY_BY_INDEX_USAGE
#   # gather_index_io_waits = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.EVENT_WAITS
#   # gather_event_waits = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.FILE_SUMMARY_BY_EVENT_NAME
#   # gather_file_events_stats = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.EVENTS_STATEMENTS_SUMMARY_BY_DIGEST
#   # gather_perf_events_statements             = false
#   #
#   ## gather metrics from PERFORMANCE_SCHEMA.EVENTS_STATEMENTS_SUMMARY_BY_ACCOUNT_BY_EVENT_NAME
#   # gather_perf_sum_per_acc_per_event         = false
#   #
#   ## list of events to be gathered for gather_perf_sum_per_acc_per_event
#   ## in case of empty list all events will be gathered
#   # perf_summary_events                       = []
#
#   ## the limits for metrics form perf_events_statements
#   # perf_events_statements_digest_text_limit = 120
#   # perf_events_statements_limit = 250
#   # perf_events_statements_time_limit = 86400
#
#   ## Some queries we may want to run less often (such as SHOW GLOBAL VARIABLES)
#   ##   example: interval_slow = "30m"
#   # interval_slow = ""
#
#   ## Optional TLS Config (used if tls=custom parameter specified in server uri)
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Provides metrics about the state of a NATS server
# # This plugin does NOT support FreeBSD
# [[inputs.nats]]
#   ## The address of the monitoring endpoint of the NATS server
#   server = "http://localhost:8222"
#
#   ## Maximum time to receive response
#   # response_timeout = "5s"


# # Neptune Apex data collector
# [[inputs.neptune_apex]]
#   ## The Neptune Apex plugin reads the publicly available status.xml data from a local Apex.
#   ## Measurements will be logged under "apex".
#
#   ## The base URL of the local Apex(es). If you specify more than one server, they will
#   ## be differentiated by the "source" tag.
#   servers = [
#     "http://apex.local",
#   ]
#
#   ## The response_timeout specifies how long to wait for a reply from the Apex.
#   #response_timeout = "5s"
#


# # Gather metrics about network interfaces
# [[inputs.net]]
#   ## By default, telegraf gathers stats from any up interface (excluding loopback)
#   ## Setting interfaces will tell it to gather these explicit interfaces,
#   ## regardless of status. When specifying an interface, glob-style
#   ## patterns are also supported.
#   # interfaces = ["eth*", "enp0s[0-1]", "lo"]


# # Collect response time of a TCP or UDP connection
# [[inputs.net_response]]
#   ## Protocol, must be "tcp" or "udp"
#   ## NOTE: because the "udp" protocol does not respond to requests, it requires
#   ## a send/expect string pair (see below).
#   protocol = "tcp"
#   ## Server address (default localhost)
#   address = "localhost:80"
#
#   ## Set timeout
#   # timeout = "1s"
#
#   ## Set read timeout (only used if expecting a response)
#   # read_timeout = "1s"
#
#   ## The following options are required for UDP checks. For TCP, they are
#   ## optional. The plugin will send the given string to the server and then
#   ## expect to receive the given 'expect' string back.
#   ## string sent to the server
#   # send = "ssh"
#   ## expected string in answer
#   # expect = "ssh"
#
#   ## Uncomment to remove deprecated fields; recommended for new deploys
#   # fieldexclude = ["result_type", "string_found"]


# # Read TCP metrics such as established, time wait and sockets counts.
# [[inputs.netstat]]
#   # no configuration


# # Read per-mount NFS client metrics from /proc/self/mountstats
# [[inputs.nfsclient]]
#   ## Read more low-level metrics (optional, defaults to false)
#   # fullstat = false
#
#   ## List of mounts to explicitly include or exclude (optional)
#   ## The pattern (Go regexp) is matched against the mount point (not the
#   ## device being mounted).  If include_mounts is set, all mounts are ignored
#   ## unless present in the list. If a mount is listed in both include_mounts
#   ## and exclude_mounts, it is excluded.  Go regexp patterns can be used.
#   # include_mounts = []
#   # exclude_mounts = []
#
#   ## List of operations to include or exclude from collecting.  This applies
#   ## only when fullstat=true.  Semantics are similar to {include,exclude}_mounts:
#   ## the default is to collect everything; when include_operations is set, only
#   ## those OPs are collected; when exclude_operations is set, all are collected
#   ## except those listed.  If include and exclude are set, the OP is excluded.
#   ## See /proc/self/mountstats for a list of valid operations; note that
#   ## NFSv3 and NFSv4 have different lists.  While it is not possible to
#   ## have different include/exclude lists for NFSv3/4, unused elements
#   ## in the list should be okay.  It is possible to have different lists
#   ## for different mountpoints:  use multiple [[input.nfsclient]] stanzas,
#   ## with their own lists.  See "include_mounts" above, and be careful of
#   ## duplicate metrics.
#   # include_operations = []
#   # exclude_operations = []


# [[inputs.nftables]]
#   ## Use the specified binary which will be looked-up in PATH
#   # binary = "nft"
#
#   ## Use sudo for command execution, can be restricted to "nft --json list table"
#   # use_sudo = false
#
#   ## Tables to monitor containing both a counter and comment declaration
#   # tables = [ "filter" ]


# # Read Nginx's basic status information (ngx_http_stub_status_module)
# [[inputs.nginx]]
#   ## An array of Nginx stub_status URI to gather stats.
#   urls = ["http://localhost/server_status", "http+unix:///var/run/nginx.sock:/server_status"]
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## HTTP response timeout (default: 5s)
#   response_timeout = "5s"


# # Read Nginx Plus' advanced status information
# [[inputs.nginx_plus]]
#   ## An array of Nginx status URIs to gather stats.
#   urls = ["http://localhost/status", "http+unix:///var/run/nginx.sock:/status"]
#
#   # HTTP response timeout (default: 5s)
#   response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read Nginx Plus API advanced status information
# [[inputs.nginx_plus_api]]
#   ## An array of Nginx API URIs to gather stats.
#   urls = ["http://localhost/api", "http+unix:///var/run/nginx.sock:/api"]
#   # Nginx API version, default: 3
#   # api_version = 3
#
#   # HTTP response timeout (default: 5s)
#   response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read Nginx virtual host traffic status module information (nginx-module-sts)
# [[inputs.nginx_sts]]
#   ## An array of ngx_http_status_module or status URI to gather stats.
#   urls = ["http://localhost/status", "http+unix:///var/run/nginx.sock:/status"]
#
#   ## HTTP response timeout (default: 5s)
#   response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read nginx_upstream_check module status information (https://github.com/yaoweibin/nginx_upstream_check_module)
# [[inputs.nginx_upstream_check]]
#   ## An URL where Nginx Upstream check module is enabled
#   ## It should be set to return a JSON formatted response
#   url = "http://127.0.0.1/status?format=json"
#   ## You can also point it at a unix socket too
#   # url = "http+unix:///var/run/nginx.sock:/status?format=json"
#
#   ## HTTP method
#   # method = "GET"
#
#   ## Optional HTTP headers
#   # headers = {"X-Special-Header" = "Special-Value"}
#
#   ## Override HTTP "Host" header
#   # host_header = "check.example.com"
#
#   ## Timeout for HTTP requests
#   timeout = "5s"
#
#   ## Optional HTTP Basic Auth credentials
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read Nginx virtual host traffic status module information (nginx-module-vts)
# [[inputs.nginx_vts]]
#   ## An array of ngx_http_status_module or status URI to gather stats.
#   urls = ["http://localhost/status", "http+unix:///var/run/nginx.sock:/status"]
#
#   ## HTTP response timeout (default: 5s)
#   response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics from the Nomad API
# [[inputs.nomad]]
#   ## URL for the Nomad agent
#   # url = "http://127.0.0.1:4646"
#
#   ## Set response_timeout (default 5 seconds)
#   # response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = /path/to/cafile
#   # tls_cert = /path/to/certfile
#   # tls_key = /path/to/keyfile


# # A plugin to collect stats from the NSD DNS resolver
# [[inputs.nsd]]
#   ## Address of server to connect to, optionally ':port'. Defaults to the
#   ## address in the nsd config file.
#   server = "127.0.0.1:8953"
#
#   ## If running as a restricted user you can prepend sudo for additional access:
#   # use_sudo = false
#
#   ## The default location of the nsd-control binary can be overridden with:
#   # binary = "/usr/sbin/nsd-control"
#
#   ## The default location of the nsd config file can be overridden with:
#   # config_file = "/etc/nsd/nsd.conf"
#
#   ## The default timeout of 1s can be overridden with:
#   # timeout = "1s"


# # Read NSQ topic and channel statistics.
# [[inputs.nsq]]
#   ## An array of NSQD HTTP API endpoints
#   endpoints  = ["http://localhost:4151"]
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Collect kernel snmp counters and network interface statistics
# [[inputs.nstat]]
#   ## file paths for proc files. If empty default paths will be used:
#   ##    /proc/net/netstat, /proc/net/snmp, /proc/net/snmp6
#   ## These can also be overridden with env variables, see README.
#   proc_net_netstat = "/proc/net/netstat"
#   proc_net_snmp = "/proc/net/snmp"
#   proc_net_snmp6 = "/proc/net/snmp6"
#   ## dump metrics with 0 values too
#   dump_zeros       = true


# # Get standard NTP query metrics, requires ntpq executable.
# [[inputs.ntpq]]
#   ## Servers to query with ntpq.
#   ## If no server is given, the local machine is queried.
#   # servers = []
#
#   ## Options to pass to the ntpq command.
#   # options = "-p"
#
#   ## Output format for the 'reach' field.
#   ## Available values are
#   ##   octal   --  output as is in octal representation e.g. 377 (default)
#   ##   decimal --  convert value to decimal representation e.g. 371 -> 249
#   ##   count   --  count the number of bits in the value. This represents
#   ##               the number of successful reaches, e.g. 37 -> 5
#   ##   ratio   --  output the ratio of successful attempts e.g. 37 -> 5/8 = 0.625
#   # reach_format = "octal"


# # Retrieve data from OPCUA devices
# [[inputs.opcua]]
#   ## Metric name
#   # name = "opcua"
#
#   ## OPC UA Endpoint URL
#   # endpoint = "opc.tcp://localhost:4840"
#
#   ## Maximum time allowed to establish a connect to the endpoint.
#   # connect_timeout = "10s"
#
#   ## Maximum time allowed for a request over the established connection.
#   # request_timeout = "5s"
#
#   ## Maximum time that a session shall remain open without activity.
#   # session_timeout = "20m"
#
#   ## Retry options for failing reads e.g. due to invalid sessions
#   ## If the retry count is zero, the read will fail after the initial attempt.
#   # read_retry_timeout = "100ms"
#   # read_retry_count = 0
#
#   ## Number of consecutive errors before forcing a reconnection
#   ## If set to 1 (default), the client will reconnect after a single failed read
#   # reconnect_error_threshold = 1
#
#   ## Security policy, one of "None", "Basic128Rsa15", "Basic256",
#   ## "Basic256Sha256", or "auto"
#   # security_policy = "auto"
#
#   ## Security mode, one of "None", "Sign", "SignAndEncrypt", or "auto"
#   # security_mode = "auto"
#
#   ## Path to client certificate and private key files, must be specified together.
#   ## If none of the options are specified, a temporary self-signed certificate
#   ## will be created. If the options are specified but the files do not exist, a
#   ## self-signed certificate will be created and stored permanently at the
#   ## given locations.
#   # certificate = "/etc/telegraf/cert.pem"
#   # private_key = "/etc/telegraf/key.pem"
#
#   ## Path to additional, explicitly trusted certificate for the remote endpoint
#   # remote_certificate = "/etc/telegraf/opcua_server_cert.pem"
#
#   ## Authentication Method, one of "Certificate", "UserName", or "Anonymous".  To
#   ## authenticate using a specific ID, select 'Certificate' or 'UserName'
#   # auth_method = "Anonymous"
#
#   ## Username and password required for auth_method = "UserName"
#   # username = ""
#   # password = ""
#
#   ## Option to select the metric timestamp to use. Valid options are:
#   ##     "gather" -- uses the time of receiving the data in telegraf
#   ##     "server" -- uses the timestamp provided by the server
#   ##     "source" -- uses the timestamp provided by the source
#   # timestamp = "gather"
#
#   ## Client trace messages
#   ## When set to true, and debug mode enabled in the agent settings, the OPCUA
#   ## client's messages are included in telegraf logs. These messages are very
#   ## noisey, but essential for debugging issues.
#   # client_trace = false
#
#   ## Include additional Fields in each metric
#   ## Available options are:
#   ##   DataType -- OPC-UA Data Type (string)
#   # optional_fields = []
#
#   ## Node ID configuration
#   ## name              - field name to use in the output
#   ## namespace         - OPC UA namespace of the node (integer value 0 thru 3)
#   ## namespace_uri     - OPC UA namespace URI (alternative to namespace for stable references)
#   ## identifier_type   - OPC UA ID type (s=string, i=numeric, g=guid, b=opaque)
#   ## identifier        - OPC UA ID (tag as shown in opcua browser)
#   ## default_tags      - extra tags to be added to the output metric (optional)
#   ##
#   ## Note: Specify either 'namespace' or 'namespace_uri', not both.
#   ## Use either the inline notation or the bracketed notation, not both.
#
#   ## Inline notation (default_tags not supported yet)
#   # nodes = [
#   #   {name="", namespace="", identifier_type="", identifier=""},
#   # ]
#
#   ## Bracketed notation
#   # [[inputs.opcua.nodes]]
#   #   name = "node1"
#   #   namespace = ""
#   #   identifier_type = ""
#   #   identifier = ""
#   #   default_tags = { tag1 = "value1", tag2 = "value2" }
#   #
#   # [[inputs.opcua.nodes]]
#   #   name = "node2"
#   #   namespace = ""
#   #   identifier_type = ""
#   #   identifier = ""
#   #
#   # [[inputs.opcua.nodes]]
#   #   name = "node3"
#   #   namespace_uri = "http://opcfoundation.org/UA/"
#   #   identifier_type = ""
#   #   identifier = ""
#
#   ## Node Group
#   ## Sets defaults so they aren't required in every node.
#   ## Default values can be set for:
#   ## * Metric name
#   ## * OPC UA namespace
#   ## * Identifier
#   ## * Default tags
#   ##
#   ## Multiple node groups are allowed
#   #[[inputs.opcua.group]]
#   ## Group Metric name. Overrides the top level name.  If unset, the
#   ## top level name is used.
#   # name =
#
#   ## Group default namespace. If a node in the group doesn't set its
#   ## namespace, this is used.
#   # namespace =
#
#   ## Group default namespace URI. Alternative to namespace for stable references.
#   ## If a node in the group doesn't set its namespace_uri, this is used.
#   # namespace_uri =
#
#   ## Group default identifier type. If a node in the group doesn't set its
#   ## identifier_type, this is used.
#   # identifier_type =
#
#   ## Default tags that are applied to every node in this group. Can be
#   ## overwritten in a node by setting a different value for the tag name.
#   ##   example: default_tags = { tag1 = "value1" }
#   # default_tags = {}
#
#   ## Node ID Configuration. Array of nodes with the same settings as above.
#   ## Use either the inline notation or the bracketed notation, not both.
#
#   ## Inline notation (default_tags not supported yet)
#   # nodes = [
#   #  {name="node1", namespace="", identifier_type="", identifier=""},
#   #  {name="node2", namespace="", identifier_type="", identifier=""},
#   #]
#
#   ## Bracketed notation
#   # [[inputs.opcua.group.nodes]]
#   #   name = "node1"
#   #   namespace = ""
#   #   identifier_type = ""
#   #   identifier = ""
#   #   default_tags = { tag1 = "override1", tag2 = "value2" }
#   #
#   # [[inputs.opcua.group.nodes]]
#   #   name = "node2"
#   #   namespace = ""
#   #   identifier_type = ""
#   #   identifier = ""
#
#   ## Enable workarounds required by some devices to work correctly
#   # [inputs.opcua.workarounds]
#   #   ## Set additional valid status codes, StatusOK (0x0) is always considered valid
#   #   # additional_valid_status_codes = ["0xC0"]
#
#   # [inputs.opcua.request_workarounds]
#   #   ## Use unregistered reads instead of registered reads
#   #   # use_unregistered_reads = false


# # OpenLDAP cn=Monitor plugin
# [[inputs.openldap]]
#   host = "localhost"
#   port = 389
#
#   # ldaps, starttls, or no encryption. default is an empty string, disabling all encryption.
#   # note that port will likely need to be changed to 636 for ldaps
#   # valid options: "" | "starttls" | "ldaps"
#   tls = ""
#
#   # skip peer certificate verification. Default is false.
#   insecure_skip_verify = false
#
#   # Path to PEM-encoded Root certificate to use to verify server certificate
#   tls_ca = "/etc/ssl/certs.pem"
#
#   # dn/password to bind with. If bind_dn is empty, an anonymous bind is performed.
#   bind_dn = ""
#   bind_password = ""
#
#   # reverse metric names so they sort more naturally
#   # Defaults to false if unset, but is set to true when generating a new config
#   reverse_metric_names = true


# # Get standard NTP query metrics from OpenNTPD.
# [[inputs.openntpd]]
#   ## Run ntpctl binary with sudo.
#   # use_sudo = false
#
#   ## Location of the ntpctl binary.
#   # binary = "/usr/sbin/ntpctl"
#
#   ## Maximum time the ntpctl binary is allowed to run.
#   # timeout = "5s"


# # Derive metrics from aggregating OpenSearch query results
# [[inputs.opensearch_query]]
#   ## OpenSearch cluster endpoint(s). Multiple urls can be specified as part
#   ## of the same cluster.  Only one successful call will be made per interval.
#   urls = [ "https://node1.os.example.com:9200" ] # required.
#
#   ## OpenSearch client timeout, defaults to "5s".
#   # timeout = "5s"
#
#   ## HTTP basic authentication details
#   # username = "admin"
#   # password = "admin"
#
#   ## Skip TLS validation.  Useful for local testing and self-signed certs.
#   # insecure_skip_verify = false
#
#   [[inputs.opensearch_query.aggregation]]
#     ## measurement name for the results of the aggregation query
#     measurement_name = "measurement"
#
#     ## OpenSearch index or index pattern to search
#     index = "index-*"
#
#     ## The date/time field in the OpenSearch index (mandatory).
#     date_field = "@timestamp"
#
#     ## If the field used for the date/time field in OpenSearch is also using
#     ## a custom date/time format it may be required to provide the format to
#     ## correctly parse the field.
#     ##
#     ## If using one of the built in OpenSearch formats this is not required.
#     ## https://opensearch.org/docs/2.4/opensearch/supported-field-types/date/#built-in-formats
#     # date_field_custom_format = ""
#
#     ## Time window to query (eg. "1m" to query documents from last minute).
#     ## Normally should be set to same as collection interval
#     query_period = "1m"
#
#     ## Lucene query to filter results
#     # filter_query = "*"
#
#     ## Fields to aggregate values (must be numeric fields)
#     # metric_fields = ["metric"]
#
#     ## Aggregation function to use on the metric fields
#     ## Must be set if 'metric_fields' is set
#     ## Valid values are: avg, sum, min, max, sum
#     # metric_function = "avg"
#
#     ## Fields to be used as tags.  Must be text, non-analyzed fields. Metric
#     ## aggregations are performed per tag
#     # tags = ["field.keyword", "field2.keyword"]
#
#     ## Set to true to not ignore documents when the tag(s) above are missing
#     # include_missing_tag = false
#
#     ## String value of the tag when the tag does not exist
#     ## Required when include_missing_tag is true
#     # missing_tag_value = "null"


# # A plugin to collect stats from Opensmtpd - a validating, recursive, and caching DNS resolver
#  [[inputs.opensmtpd]]
#    ## If running as a restricted user you can prepend sudo for additional access:
#    #use_sudo = false
#
#    ## The default location of the smtpctl binary can be overridden with:
#    binary = "/usr/sbin/smtpctl"
#
#    # The default timeout of 1s can be overridden with:
#    #timeout = "1s"


# # Read current weather and forecasts data from openweathermap.org
# [[inputs.openweathermap]]
#   ## OpenWeatherMap API key.
#   app_id = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
#
#   ## City ID's to collect weather data from.
#   city_id = ["5391959"]
#
#   ## Language of the description field. Can be one of "ar", "bg",
#   ## "ca", "cz", "de", "el", "en", "fa", "fi", "fr", "gl", "hr", "hu",
#   ## "it", "ja", "kr", "la", "lt", "mk", "nl", "pl", "pt", "ro", "ru",
#   ## "se", "sk", "sl", "es", "tr", "ua", "vi", "zh_cn", "zh_tw"
#   # lang = "en"
#
#   ## APIs to fetch; can contain "weather" or "forecast".
#   # fetch = ["weather", "forecast"]
#
#   ## OpenWeatherMap base URL
#   # base_url = "https://api.openweathermap.org/"
#
#   ## Timeout for HTTP response.
#   # response_timeout = "5s"
#
#   ## Preferred unit system for temperature and wind speed. Can be one of
#   ## "metric", "imperial", or "standard".
#   ## The default is "metric" if not specified.
#   # units = "metric"
#
#   ## Style to query the current weather; available options
#   ##   batch      -- query multiple cities at once using the "group" endpoint
#   ##   individual -- query each city individually using the "weather" endpoint
#   ## You should use "individual" here as it is documented and provides more
#   ## frequent updates. The default is "batch" for backward compatibility.
#   # query_style = "batch"
#
#   ## Query interval to fetch data.
#   ## By default the global 'interval' setting is used. You should override the
#   ## interval here if the global setting is shorter than 10 minutes as
#   ## OpenWeatherMap weather data is only updated every 10 minutes.
#   # interval = "10m"


# # P4Runtime telemetry input plugin
# [[inputs.p4runtime]]
#   ## Define the endpoint of P4Runtime gRPC server to collect metrics.
#   # endpoint = "127.0.0.1:9559"
#   ## Set DeviceID required for Client Arbitration.
#   ## https://p4.org/p4-spec/p4runtime/main/P4Runtime-Spec.html#sec-client-arbitration-and-controller-replication
#   # device_id = 1
#   ## Filter counters by their names that should be observed.
#   ## Example: counter_names_include=["ingressCounter", "egressCounter"]
#   # counter_names_include = []
#
#   ## Optional TLS Config.
#   ## Enable client-side TLS and define CA to authenticate the device.
#   # enable_tls = false
#   # tls_ca = "/etc/telegraf/ca.crt"
#   ## Set minimal TLS version to accept by the client.
#   # tls_min_version = "TLS12"
#   ## Use TLS but skip chain & host verification.
#   # insecure_skip_verify = true
#
#   ## Define client-side TLS certificate & key to authenticate to the device.
#   # tls_cert = "/etc/telegraf/client.crt"
#   # tls_key = "/etc/telegraf/client.key"


# # Read metrics of passenger using passenger-status
# [[inputs.passenger]]
#   ## Path of passenger-status.
#   ##
#   ## Plugin gather metric via parsing XML output of passenger-status
#   ## More information about the tool:
#   ##   https://www.phusionpassenger.com/library/admin/apache/overall_status_report.html
#   ##
#   ## If no path is specified, then the plugin simply execute passenger-status
#   ## hopefully it can be found in your PATH
#   command = "passenger-status -v --show=xml"


# # Gather counters from PF
# [[inputs.pf]]
#   ## PF require root access on most systems.
#   ## Setting 'use_sudo' to true will make use of sudo to run pfctl.
#   ## Users must configure sudo to allow telegraf user to run pfctl with no password.
#   ## pfctl can be restricted to only list command "pfctl -s info".
#   use_sudo = false


# # Read metrics of phpfpm, via HTTP status page or socket
# [[inputs.phpfpm]]
#   ## An array of addresses to gather stats about. Specify an ip or hostname
#   ## with optional port and path
#   ##
#   ## Plugin can be configured in three modes (either can be used):
#   ##   - http: the URL must start with http:// or https://, ie:
#   ##       "http://localhost/status"
#   ##       "http://192.168.130.1/status?full"
#   ##
#   ##   - unixsocket: path to fpm socket, ie:
#   ##       "/var/run/php5-fpm.sock"
#   ##      or using a custom fpm status path:
#   ##       "/var/run/php5-fpm.sock:fpm-custom-status-path"
#   ##      glob patterns are also supported:
#   ##       "/var/run/php*.sock"
#   ##
#   ##   - fcgi: the URL must start with fcgi:// or cgi://, and port must be present, ie:
#   ##       "fcgi://10.0.0.12:9000/status"
#   ##       "cgi://10.0.10.12:9001/status"
#   ##
#   ## Example of multiple gathering from local socket and remote host
#   ## urls = ["http://192.168.1.20/status", "/tmp/fpm.sock"]
#   urls = ["http://localhost/status"]
#
#   ## Format of stats to parse, set to "status" or "json"
#   ## If the user configures the URL to return JSON (e.g.
#   ## http://localhost/status?json), set to JSON. Otherwise, will attempt to
#   ## parse line-by-line. The JSON mode will produce additional metrics.
#   # format = "status"
#
#   ## Duration allowed to complete HTTP requests.
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Ping given url(s) and return statistics
# [[inputs.ping]]
#   ## Hosts to send ping packets to.
#   urls = ["example.org"]
#
#   ## Method used for sending pings, can be either "exec" or "native".  When set
#   ## to "exec" the systems ping command will be executed.  When set to "native"
#   ## the plugin will send pings directly.
#   ##
#   ## While the default is "exec" for backwards compatibility, new deployments
#   ## are encouraged to use the "native" method for improved compatibility and
#   ## performance.
#   # method = "exec"
#
#   ## Number of ping packets to send per interval.  Corresponds to the "-c"
#   ## option of the ping command.
#   # count = 1
#
#   ## Time to wait between sending ping packets in seconds.  Operates like the
#   ## "-i" option of the ping command.
#   # ping_interval = 1.0
#
#   ## If set, the time to wait for a ping response in seconds.  Operates like
#   ## the "-W" option of the ping command.
#   # timeout = 1.0
#
#   ## If set, the total ping deadline, in seconds.  Operates like the -w option
#   ## of the ping command.
#   # deadline = 10
#
#   ## Interface or source address to send ping from.  Operates like the -I or -S
#   ## option of the ping command.
#   # interface = ""
#
#   ## Percentiles to calculate. This only works with the native method.
#   # percentiles = [50, 95, 99]
#
#   ## Specify the ping executable binary.
#   # binary = "ping"
#
#   ## Arguments for ping command. When arguments is not empty, the command from
#   ## the binary option will be used and other options (ping_interval, timeout,
#   ## etc) will be ignored.
#   # arguments = ["-c", "3"]
#
#   ## Use only IPv4 addresses when resolving a hostname. By default, both IPv4
#   ## and IPv6 can be used.
#   # ipv4 = false
#
#   ## Use only IPv6 addresses when resolving a hostname. By default, both IPv4
#   ## and IPv6 can be used.
#   # ipv6 = false
#
#   ## Number of data bytes to be sent. Corresponds to the "-s"
#   ## option of the ping command. This only works with the native method.
#   # size = 56


# # Measure postfix queue statistics
# # This plugin ONLY supports non-Windows
# [[inputs.postfix]]
#   ## Postfix queue directory. If not provided, telegraf will try to use
#   ## 'postconf -h queue_directory' to determine it.
#   # queue_directory = "/var/spool/postfix"


# # Read metrics from one or many PowerDNS servers
# [[inputs.powerdns]]
#   # An array of sockets to gather stats about.
#   # Specify a path to unix socket.
#   #
#   # If no servers are specified, then '/var/run/pdns.controlsocket' is used as the path.
#   unix_sockets = ["/var/run/pdns.controlsocket"]


# # Read metrics from one or many PowerDNS Recursor servers
# [[inputs.powerdns_recursor]]
#   ## Path to the Recursor control socket.
#   unix_sockets = ["/var/run/pdns_recursor.controlsocket"]
#
#   ## Directory to create receive socket.  This default is likely not writable,
#   ## please reference the full plugin documentation for a recommended setup.
#   # socket_dir = "/var/run/"
#   ## Socket permissions for the receive socket.
#   # socket_mode = "0666"
#
#   ## The version of the PowerDNS control protocol to use. You will have to
#   ## change this based on your PowerDNS Recursor version, see below:
#   ## Version 1: PowerDNS <4.5.0
#   ## Version 2: PowerDNS 4.5.0 - 4.5.11
#   ## Version 3: PowerDNS >=4.6.0
#   ## By default this is set to 1.
#   # control_protocol_version = 1
#


# # Monitor process cpu and memory usage
# [[inputs.procstat]]
#   ## PID file to monitor process
#   pid_file = "/var/run/nginx.pid"
#   ## executable name (ie, pgrep <exe>)
#   # exe = "nginx"
#   ## pattern as argument for pgrep (ie, pgrep -f <pattern>)
#   # pattern = "nginx"
#   ## user as argument for pgrep (ie, pgrep -u <user>)
#   # user = "nginx"
#   ## Systemd unit name, supports globs when include_systemd_children is set to true
#   # systemd_unit = "nginx.service"
#   # include_systemd_children = false
#   ## CGroup name or path, supports globs
#   # cgroup = "systemd/system.slice/nginx.service"
#   ## Supervisor service names of hypervisorctl management
#   # supervisor_units = ["webserver", "proxy"]
#
#   ## Windows service name
#   # win_service = ""
#
#   ## override for process_name
#   ## This is optional; default is sourced from /proc/<pid>/status
#   # process_name = "bar"
#
#   ## Field name prefix
#   # prefix = ""
#
#   ## Mode to use when calculating CPU usage. Can be one of 'solaris' or 'irix'.
#   # mode = "irix"
#
#   ## Add the given information tag instead of a field
#   ## This allows to create unique metrics/series when collecting processes with
#   ## otherwise identical tags. However, please be careful as this can easily
#   ## result in a large number of series, especially with short-lived processes,
#   ## creating high cardinality at the output.
#   ## Available options are:
#   ##   cmdline   -- full commandline
#   ##   pid       -- ID of the process
#   ##   ppid      -- ID of the process' parent
#   ##   status    -- state of the process
#   ##   user      -- username owning the process
#   ## socket only options:
#   ##   protocol  -- protocol type of the process socket
#   ##   state     -- state of the process socket
#   ##   src       -- source address of the process socket (non-unix sockets)
#   ##   src_port  -- source port of the process socket (non-unix sockets)
#   ##   dest      -- destination address of the process socket (non-unix sockets)
#   ##   dest_port -- destination port of the process socket (non-unix sockets)
#   ##   name      -- name of the process socket (unix sockets only)
#   ## Available for procstat_lookup:
#   ##   level     -- level of the process filtering
#   # tag_with = []
#
#   ## Properties to collect
#   ## Available options are
#   ##   cpu     -- CPU usage statistics
#   ##   limits  -- set resource limits
#   ##   memory  -- memory usage statistics
#   ##   mmap    -- mapped memory usage statistics (caution: can cause high load)
#   ##   sockets -- socket statistics for protocols in 'socket_protocols'
#   # properties = ["cpu", "limits", "memory", "mmap"]
#
#   ## Protocol filter for the sockets property
#   ## Available options are
#   ##   all  -- all of the protocols below
#   ##   tcp4 -- TCP socket statistics for IPv4
#   ##   tcp6 -- TCP socket statistics for IPv6
#   ##   udp4 -- UDP socket statistics for IPv4
#   ##   udp6 -- UDP socket statistics for IPv6
#   ##   unix -- Unix socket statistics
#   # socket_protocols = ["all"]
#
#   ## Method to use when finding process IDs.  Can be one of 'pgrep', or
#   ## 'native'.  The pgrep finder calls the pgrep executable in the PATH while
#   ## the native finder performs the search directly in a manor dependent on the
#   ## platform.  Default is 'pgrep'
#   # pid_finder = "pgrep"
#
#   ## New-style filtering configuration (multiple filter sections are allowed)
#   # [[inputs.procstat.filter]]
#   #    ## Name of the filter added as 'filter' tag
#   #    name = "shell"
#   #
#   #    ## Service filters, only one is allowed
#   #    ## Systemd unit names (wildcards are supported)
#   #    # systemd_units = []
#   #    ## CGroup name or path (wildcards are supported)
#   #    # cgroups = []
#   #    ## Supervisor service names of hypervisorctl management
#   #    # supervisor_units = []
#   #    ## Windows service names
#   #    # win_service = []
#   #
#   #    ## Process filters, multiple are allowed
#   #    ## Regular expressions to use for matching against the full command
#   #    # patterns = ['.*']
#   #    ## List of users owning the process (wildcards are supported)
#   #    # users = ['*']
#   #    ## List of executable paths of the process (wildcards are supported)
#   #    # executables = ['*']
#   #    ## List of process names (wildcards are supported)
#   #    # process_names = ['*']
#   #    ## Recursion depth for determining children of the matched processes
#   #    ## A negative value means all children with infinite depth
#   #    # recursion_depth = 0


# # Provides metrics from Proxmox nodes (Proxmox Virtual Environment > 6.2).
# [[inputs.proxmox]]
#   ## API connection configuration. The API token was introduced in Proxmox v6.2.
#   ## Required permissions for user and token: PVEAuditor role on /.
#   base_url = "https://localhost:8006/api2/json"
#   api_token = "USER@REALM!TOKENID=UUID"
#
#   ## Node name, defaults to OS hostname
#   ## Unless Telegraf is on the same host as Proxmox, setting this is required.
#   # node_name = ""
#
#   ## Additional tags of the VM stats data to add as a tag
#   ## Supported values are "vmid" and "status"
#   # additional_vmstats_tags = []
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## HTTP response timeout (default: 5s)
#   # response_timeout = "5s"


# # Reads last_run_summary.yaml file and converts to measurements
# [[inputs.puppetagent]]
#   ## Location of puppet last run summary file
#   location = "/var/lib/puppet/state/last_run_summary.yaml"


# # Reads metrics from RabbitMQ servers via the Management Plugin
# [[inputs.rabbitmq]]
#   ## Management Plugin url. (default: http://localhost:15672)
#   # url = "http://localhost:15672"
#
#   ## Credentials
#   # username = "guest"
#   # password = "guest"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Optional request timeouts
#   ##
#   ## ResponseHeaderTimeout, if non-zero, specifies the amount of time to wait
#   ## for a server's response headers after fully writing the request.
#   # header_timeout = "3s"
#   ##
#   ## client_timeout specifies a time limit for requests made by this client.
#   ## Includes connection time, any redirects, and reading the response body.
#   # client_timeout = "4s"
#
#   ## A list of nodes to gather as the rabbitmq_node measurement. If not
#   ## specified, metrics for all nodes are gathered.
#   # nodes = ["rabbit@node1", "rabbit@node2"]
#
#   ## A list of exchanges to gather as the rabbitmq_exchange measurement. If not
#   ## specified, metrics for all exchanges are gathered.
#   # exchanges = ["telegraf"]
#
#   ## Metrics to include and exclude. Globs accepted.
#   ## Note that an empty array for both will include all metrics
#   ## Currently the following metrics are supported: "exchange", "federation", "node", "overview", "queue"
#   # metric_include = []
#   # metric_exclude = []
#
#   ## Queues to include and exclude. Globs accepted.
#   ## Note that an empty array for both will include all queues
#   # queue_name_include = []
#   # queue_name_exclude = []
#
#   ## Federation upstreams to include and exclude specified as an array of glob
#   ## pattern strings.  Federation links can also be limited by the queue and
#   ## exchange filters.
#   # federation_upstream_include = []
#   # federation_upstream_exclude = []
#
#   ## Include queue type as a tag. When enabled, adds a "type" tag to queue metrics
#   ## with the queue type returned by RabbitMQ (e.g., "classic", "quorum", "stream").
#   ## Defaults to "classic" if empty.
#   # include_queue_type_tag = false


# [[inputs.radius]]
#   ## An array of Server IPs and ports to gather from. If none specified, defaults to localhost.
#   servers = ["127.0.0.1:1812","hostname.domain.com:1812"]
#
#   ## Credentials for radius authentication.
#   username = "myuser"
#   password = "mypassword"
#   secret = "mysecret"
#
#   ## Request source server IP, normally the server running telegraf.
#   ## This corresponds to Radius' NAS-IP-Address.
#   # request_ip = "127.0.0.1"
#
#   ## Maximum time to receive response.
#   # response_timeout = "5s"


# # Read raindrops stats (raindrops - real-time stats for preforking Rack servers)
# [[inputs.raindrops]]
#   ## An array of raindrops middleware URI to gather stats.
#   urls = ["http://localhost:8080/_raindrops"]


# # Reads metrics from RavenDB servers via the Monitoring Endpoints
# [[inputs.ravendb]]
#   ## Node URL and port that RavenDB is listening on. By default,
#   ## attempts to connect securely over HTTPS, however, if the user
#   ## is running a local unsecure development cluster users can use
#   ## HTTP via a URL like "http://localhost:8080"
#   url = "https://localhost:4433"
#
#   ## RavenDB X509 client certificate setup
#   # tls_cert = "/etc/telegraf/raven.crt"
#   # tls_key = "/etc/telegraf/raven.key"
#
#   ## Optional request timeout
#   ##
#   ## Timeout, specifies the amount of time to wait
#   ## for a server's response headers after fully writing the request and
#   ## time limit for requests made by this client
#   # timeout = "5s"
#
#   ## List of statistics which are collected
#   # At least one is required
#   # Allowed values: server, databases, indexes, collections
#   #
#   # stats_include = ["server", "databases", "indexes", "collections"]
#
#   ## List of db where database stats are collected
#   ## If empty, all db are concerned
#   # db_stats_dbs = []
#
#   ## List of db where index status are collected
#   ## If empty, all indexes from all db are concerned
#   # index_stats_dbs = []
#
#   ## List of db where collection status are collected
#   ## If empty, all collections from all db are concerned
#   # collection_stats_dbs = []


# # Read CPU, Fans, Powersupply and Voltage metrics of hardware server through redfish APIs
# [[inputs.redfish]]
#   ## Redfish API Base URL.
#   address = "https://127.0.0.1:5000"
#
#   ## Credentials for the Redfish API. Can also use secrets.
#   username = "root"
#   password = "password123456"
#
#   ## System Id to collect data for in Redfish APIs.
#   computer_system_id="System.Embedded.1"
#
#   ## Metrics to collect
#   ## The metric collects to gather. Choose from "power" and "thermal".
#   # include_metrics = ["power", "thermal"]
#
#   ## Tag sets allow you to include redfish OData link parent data
#   ## For Example.
#   ## Thermal data is an OData link with parent Chassis which has a link of Location.
#   ## For more info see the Redfish Resource and Schema Guide at DMTFs website.
#   ## Available sets are: "chassis.location" and "chassis"
#   # include_tag_sets = ["chassis.location"]
#
#   ## Workarounds
#   ## Defines workarounds for certain hardware vendors. Choose from:
#   ## * ilo4-thermal - Do not pass 0Data-Version header to Thermal endpoint
#   # workarounds = []
#
#   ## Amount of time allowed to complete the HTTP request
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics from one or many redis-sentinel servers
# [[inputs.redis_sentinel]]
#   ## specify servers via a url matching:
#   ##  [protocol://][username:password]@address[:port]
#   ##  e.g.
#   ##    tcp://localhost:26379
#   ##    tcp://username:password@192.168.99.100
#   ##    unix:///var/run/redis-sentinel.sock
#   ##
#   ## If no servers are specified, then localhost is used as the host.
#   ## If no port is specified, 26379 is used
#   # servers = ["tcp://localhost:26379"]
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = true


# # Read metrics from one or many RethinkDB servers
# [[inputs.rethinkdb]]
#   ## An array of URI to gather stats about. Specify an ip or hostname
#   ## with optional port add password. ie,
#   ##   rethinkdb://user:auth_key@10.10.3.30:28105,
#   ##   rethinkdb://10.10.3.33:18832,
#   ## For rethinkdb v2.3.0+ with username/password authorization you should use
#   ##   rethinkdb2://username:password@127.0.0.1:28015"
#   servers = ["127.0.0.1:28015"]


# # Read metrics one or many Riak servers
# [[inputs.riak]]
#   # Specify a list of one or more riak http servers
#   servers = ["http://localhost:8098"]


# # Read API usage and limits for a Salesforce organisation
# [[inputs.salesforce]]
#   ## specify your credentials
#   ##
#   username = "your_username"
#   password = "your_password"
#   ##
#   ## (optional) security token
#   # security_token = "your_security_token"
#   ##
#   ## (optional) environment type (sandbox or production)
#   ## default is: production
#   ##
#   # environment = "production"
#   ##
#   ## (optional) API version (default: "39.0")
#   ##
#   # version = "39.0"


# # Monitor sensors, requires lm-sensors package
# # This plugin ONLY supports Linux
# [[inputs.sensors]]
#   ## Remove numbers from field names.
#   ## If true, a field name like 'temp1_input' will be changed to 'temp_input'.
#   # remove_numbers = true
#
#   ## Timeout is the maximum amount of time that the sensors command can run.
#   # timeout = "5s"


# # Get slab statistics from procfs
# # This plugin ONLY supports Linux
# [[inputs.slab]]
#   # no configuration - please see the plugin's README for steps to configure
#   # sudo properly


# # Gather SLURM metrics
# [[inputs.slurm]]
#   ## Slurmrestd URL. Both http and https can be used as schemas.
#   url = "http://127.0.0.1:6820"
#
#   ## Credentials for JWT-based authentication.
#   # username = "foo"
#   # token = "topSecret"
#
#   ## Enabled endpoints
#   ## List of endpoints a user can acquire data from.
#   ## Available values are: diag, jobs, nodes, partitions, reservations.
#   # enabled_endpoints = ["diag", "jobs", "nodes", "partitions", "reservations"]
#
#   ## Maximum time to receive a response. If set to 0s, the
#   ## request will not time out.
#   # response_timeout = "5s"
#
#   ## Optional TLS Config. Note these options will only
#   ## be taken into account when the scheme specififed on
#   ## the URL parameter is https. They will be silently
#   ## ignored otherwise.
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable =
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Password for the key file if it is encrypted
#   # tls_key_pwd = ""
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Minimal TLS version to accept by the client
#   # tls_min_version = "TLS12"
#   ## List of ciphers to accept, by default all secure ciphers will be accepted
#   ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
#   ## Use "all", "secure" and "insecure" to add all support ciphers, secure
#   ## suites or insecure suites respectively.
#   # tls_cipher_suites = ["secure"]
#   ## Renegotiation method, "never", "once" or "freely"
#   # tls_renegotiation_method = "never"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics from storage devices supporting S.M.A.R.T.
# [[inputs.smart]]
#     ## Optionally specify the path to the smartctl executable
#     # path_smartctl = "/usr/bin/smartctl"
#
#     ## Optionally specify the path to the nvme-cli executable
#     # path_nvme = "/usr/bin/nvme"
#
#     ## Optionally specify if vendor specific attributes should be propagated for NVMe disk case
#     ## ["auto-on"] - automatically find and enable additional vendor specific disk info
#     ## ["vendor1", "vendor2", ...] - e.g. "Intel" enable additional Intel specific disk info
#     # enable_extensions = ["auto-on"]
#
#     ## On most platforms used cli utilities requires root access.
#     ## Setting 'use_sudo' to true will make use of sudo to run smartctl or nvme-cli.
#     ## Sudo must be configured to allow the telegraf user to run smartctl or nvme-cli
#     ## without a password.
#     # use_sudo = false
#
#     ## Adds an extra tag "device_type", which can be used to differentiate
#     ## multiple disks behind the same controller (e.g., MegaRAID).
#     # tag_with_device_type = false
#
#     ## Skip checking disks in this power mode. Defaults to
#     ## "standby" to not wake up disks that have stopped rotating.
#     ## See --nocheck in the man pages for smartctl.
#     ## smartctl version 5.41 and 5.42 have faulty detection of
#     ## power mode and might require changing this value to
#     ## "never" depending on your disks.
#     # nocheck = "standby"
#
#     ## Gather all returned S.M.A.R.T. attribute metrics and the detailed
#     ## information from each drive into the 'smart_attribute' measurement.
#     # attributes = false
#
#     ## Optionally specify devices to exclude from reporting if disks auto-discovery is performed.
#     # excludes = [ "/dev/pass6" ]
#
#     ## Optionally specify devices and device type, if unset
#     ## a scan (smartctl --scan and smartctl --scan -d nvme) for S.M.A.R.T. devices will be done
#     ## and all found will be included except for the excluded in excludes.
#     # devices = [ "/dev/ada0 -d atacam", "/dev/nvme0"]
#
#     ## Timeout for the cli command to complete.
#     # timeout = "30s"
#
#     ## Optionally call smartctl and nvme-cli with a specific concurrency policy.
#     ## By default, smartctl and nvme-cli are called in separate threads (goroutines) to gather disk attributes.
#     ## Some devices (e.g. disks in RAID arrays) may have access limitations that require sequential reading of
#     ## SMART data - one individual array drive at the time. In such case please set this configuration option
#     ## to "sequential" to get readings for all drives.
#     ## valid options: concurrent, sequential
#     # read_method = "concurrent"


# # Read metrics from SMART storage devices using smartclt's JSON output
# [[inputs.smartctl]]
#     ## Optionally specify the path to the smartctl executable
#     # path = "/usr/sbin/smartctl"
#
#     ## Use sudo
#     ## On most platforms used, smartctl requires root access. Setting 'use_sudo'
#     ## to true will make use of sudo to run smartctl. Sudo must be configured to
#     ## allow the telegraf user to run smartctl without a password.
#     # use_sudo = false
#
#     ## Devices to include or exclude
#     ## By default, the plugin will use all devices found in the output of
#     ## `smartctl --scan-open`. Only one option is allowed at a time. If set, include
#     ## sets the specific devices to scan, while exclude omits specific devices.
#     # devices_include = []
#     # devices_exclude = []
#
#     ## Skip checking disks in specified power mode
#     ## Defaults to "standby" to not wake up disks that have stopped rotating.
#     ## For full details on the options here, see the --nocheck section in the
#     ## smartctl man page. Choose from:
#     ##   * never: always check the device
#     ##   * sleep: check the device unless it is in sleep mode
#     ##   * standby: check the device unless it is in sleep or standby mode
#     ##   * idle: check the device unless it is in sleep, standby, or idle mode
#     # nocheck = "standby"
#
#     ## Timeout for the cli command to complete
#     # timeout = "30s"


# # Retrieves SNMP values from remote agents
# [[inputs.snmp]]
#   ## Agent addresses to retrieve values from.
#   ##   format:  agents = ["<scheme://><hostname>:<port>"]
#   ##   scheme:  optional, either udp, udp4, udp6, tcp, tcp4, tcp6.
#   ##            default is udp
#   ##   port:    optional
#   ##   example: agents = ["udp://127.0.0.1:161"]
#   ##            agents = ["tcp://127.0.0.1:161"]
#   ##            agents = ["udp4://v4only-snmp-agent"]
#   agents = ["udp://127.0.0.1:161"]
#
#   ## Timeout for each request.
#   # timeout = "5s"
#
#   ## Stop polling tables if polling fails on the same agent
#   # stop_on_error = false
#
#   ## SNMP version; can be 1, 2, or 3.
#   # version = 2
#
#   ## Unconnected UDP socket
#   ## When true, SNMP responses are accepted from any address not just
#   ## the requested address. This can be useful when gathering from
#   ## redundant/failover systems.
#   # unconnected_udp_socket = false
#
#   ## Path to mib files
#   ## Used by the gosmi translator.
#   ## To add paths when translating with netsnmp, use the MIBDIRS environment variable
#   # path = ["/usr/share/snmp/mibs"]
#
#   ## SNMP community string.
#   # community = "public"
#
#   ## Agent host tag; should be set to "source" for consistent usage across plugins
#   ##   example: agent_host_tag = "source"
#   ## The default value is inconsistent with other plugins. Users will get a
#   ## warning that can be ignored if this is not changed. However, to have a
#   ## consistent experience, set this to "source" in your config to align with
#   ## other plugins.
#   # agent_host_tag = "agent_host"
#
#   ## Number of retries to attempt.
#   # retries = 3
#
#   ## The GETBULK max-repetitions parameter.
#   # max_repetitions = 10
#
#   ## SNMPv3 authentication and encryption options.
#   ##
#   ## Security Name.
#   # sec_name = "myuser"
#   ## Authentication protocol; one of "MD5", "SHA", "SHA224", "SHA256", "SHA384", "SHA512" or "".
#   # auth_protocol = "MD5"
#   ## Authentication password.
#   # auth_password = "pass"
#   ## Security Level; one of "noAuthNoPriv", "authNoPriv", or "authPriv".
#   # sec_level = "authNoPriv"
#   ## Context Name.
#   # context_name = ""
#   ## Privacy protocol used for encrypted messages; one of "DES", "AES", "AES192", "AES192C", "AES256", "AES256C", or "".
#   ### Protocols "AES192", "AES192", "AES256", and "AES256C" require the underlying net-snmp tools
#   ### to be compiled with --enable-blumenthal-aes (http://www.net-snmp.org/docs/INSTALL.html)
#   # priv_protocol = ""
#   ## Privacy password used for encrypted messages.
#   # priv_password = ""
#
#   ## Add fields and tables defining the variables you wish to collect.  This
#   ## example collects the system uptime and interface variables.  Reference the
#   ## full plugin documentation for configuration details.
#   [[inputs.snmp.field]]
#     oid = "RFC1213-MIB::sysUpTime.0"
#     name = "sysUptime"
#     conversion = "float(2)"
#
#   [[inputs.snmp.field]]
#     oid = "RFC1213-MIB::sysName.0"
#     name = "sysName"
#     is_tag = true
#
#   [[inputs.snmp.table]]
#     oid = "IF-MIB::ifTable"
#     name = "interface"
#     inherit_tags = ["sysName"]
#
#     [[inputs.snmp.table.field]]
#       oid = "IF-MIB::ifDescr"
#       name = "ifDescr"
#       is_tag = true


# # Gather indicators from established connections, using iproute2's ss command.
# # This plugin ONLY supports non-Windows
# [[inputs.socketstat]]
#   ## ss can display information about tcp, udp, raw, unix, packet, dccp and sctp sockets
#   ## Specify here the types you want to gather
#   protocols = [ "tcp", "udp" ]
#
#   ## The default timeout of 1s for ss execution can be overridden here:
#   # timeout = "1s"


# # Gather timeseries from Google Cloud Platform v3 monitoring API
# [[inputs.stackdriver]]
#   ## GCP Project
#   project = "erudite-bloom-151019"
#
#   ## Include timeseries that start with the given metric type.
#   metric_type_prefix_include = [
#     "compute.googleapis.com/",
#   ]
#
#   ## Exclude timeseries that start with the given metric type.
#   # metric_type_prefix_exclude = []
#
#   ## Most metrics are updated no more than once per minute; it is recommended
#   ## to override the agent level interval with a value of 1m or greater.
#   interval = "1m"
#
#   ## Maximum number of API calls to make per second.  The quota for accounts
#   ## varies, it can be viewed on the API dashboard:
#   ##   https://cloud.google.com/monitoring/quotas#quotas_and_limits
#   # rate_limit = 14
#
#   ## The delay and window options control the number of points selected on
#   ## each gather.  When set, metrics are gathered between:
#   ##   start: now() - delay - window
#   ##   end:   now() - delay
#   #
#   ## Collection delay; if set too low metrics may not yet be available.
#   # delay = "5m"
#   #
#   ## If unset, the window will start at 1m and be updated dynamically to span
#   ## the time between calls (approximately the length of the plugin interval).
#   # window = "1m"
#
#   ## TTL for cached list of metric types.  This is the maximum amount of time
#   ## it may take to discover new metrics.
#   # cache_ttl = "1h"
#
#   ## If true, raw bucket counts are collected for distribution value types.
#   ## For a more lightweight collection, you may wish to disable and use
#   ## distribution_aggregation_aligners instead.
#   # gather_raw_distribution_buckets = true
#
#   ## Aggregate functions to be used for metrics whose value type is
#   ## distribution.  These aggregate values are recorded in in addition to raw
#   ## bucket counts; if they are enabled.
#   ##
#   ## For a list of aligner strings see:
#   ##   https://cloud.google.com/monitoring/api/ref_v3/rpc/google.monitoring.v3#aligner
#   # distribution_aggregation_aligners = [
#   #  "ALIGN_PERCENTILE_99",
#   #  "ALIGN_PERCENTILE_95",
#   #  "ALIGN_PERCENTILE_50",
#   # ]
#
#   ## Filters can be added to reduce the number of time series matched.  All
#   ## functions are supported: starts_with, ends_with, has_substring, and
#   ## one_of.  Only the '=' operator is supported.
#   ##
#   ## The logical operators when combining filters are defined statically using
#   ## the following values:
#   ##   filter ::= <resource_labels> {AND <metric_labels> AND <user_labels> AND <system_labels>}
#   ##   resource_labels ::= <resource_labels> {OR <resource_label>}
#   ##   metric_labels ::= <metric_labels> {OR <metric_label>}
#   ##   user_labels ::= <user_labels> {OR <user_label>}
#   ##   system_labels ::= <system_labels> {OR <system_label>}
#   ##
#   ## For more details, see https://cloud.google.com/monitoring/api/v3/filters
#   #
#   ## Resource labels refine the time series selection with the following expression:
#   ##   resource.labels.<key> = <value>
#   # [[inputs.stackdriver.filter.resource_labels]]
#   #   key = "instance_name"
#   #   value = 'starts_with("localhost")'
#   #
#   ## Metric labels refine the time series selection with the following expression:
#   ##   metric.labels.<key> = <value>
#   #  [[inputs.stackdriver.filter.metric_labels]]
#   #    key = "device_name"
#   #    value = 'one_of("sda", "sdb")'
#   #
#   ## User labels refine the time series selection with the following expression:
#   ##   metadata.user_labels."<key>" = <value>
#   #  [[inputs.stackdriver.filter.user_labels]]
#   #    key = "environment"
#   #    value = 'one_of("prod", "staging")'
#   #
#   ## System labels refine the time series selection with the following expression:
#   ##   metadata.system_labels."<key>" = <value>
#   #  [[inputs.stackdriver.filter.system_labels]]
#   #    key = "machine_type"
#   #    value = 'starts_with("e2-")'


# # Gathers information about processes that running under supervisor using XML-RPC API
# [[inputs.supervisor]]
#   ## Url of supervisor's XML-RPC endpoint if basic auth enabled in supervisor http server,
#   ## than you have to add credentials to url (ex. http://login:pass@localhost:9001/RPC2)
#   # url="http://localhost:9001/RPC2"
#   ## With settings below you can manage gathering additional information about processes
#   ## If both of them empty, then all additional information will be collected.
#   ## Currently supported supported additional metrics are: pid, rc
#   # metrics_include = []


# # Get synproxy counter statistics from procfs
# # This plugin ONLY supports Linux
# [[inputs.synproxy]]
#   # no configuration


# # Sysstat metrics collector
# # This plugin ONLY supports Linux
# [[inputs.sysstat]]
#   ## Path to the sadc command.
#   #
#   ## Common Defaults:
#   ##   Debian/Ubuntu: /usr/lib/sysstat/sadc
#   ##   Arch:          /usr/lib/sa/sadc
#   ##   RHEL/CentOS:   /usr/lib64/sa/sadc
#   sadc_path = "/usr/lib/sa/sadc" # required
#
#   ## Path to the sadf command, if it is not in PATH
#   # sadf_path = "/usr/bin/sadf"
#
#   ## Activities is a list of activities, that are passed as argument to the
#   ## sadc collector utility (e.g: DISK, SNMP etc...)
#   ## The more activities that are added, the more data is collected.
#   # activities = ["DISK"]
#
#   ## Group metrics to measurements.
#   ##
#   ## If group is false each metric will be prefixed with a description
#   ## and represents itself a measurement.
#   ##
#   ## If Group is true, corresponding metrics are grouped to a single measurement.
#   # group = true
#
#   ## Options for the sadf command. The values on the left represent the sadf options and
#   ## the values on the right their description (which are used for grouping and prefixing metrics).
#   ##
#   ## Run 'sar -h' or 'man sar' to find out the supported options for your sysstat version.
#   [inputs.sysstat.options]
#     -C = "cpu"
#     -B = "paging"
#     -b = "io"
#     -d = "disk"             # requires DISK activity
#     "-n ALL" = "network"
#     "-P ALL" = "per_cpu"
#     -q = "queue"
#     -R = "mem"
#     -r = "mem_util"
#     -S = "swap_util"
#     -u = "cpu_util"
#     -v = "inode"
#     -W = "swap"
#     -w = "task"
#   # -H = "hugepages"        # only available for newer linux distributions
#   # "-I ALL" = "interrupts" # requires INT activity
#
#   ## Device tags can be used to add additional tags for devices. For example the configuration below
#   ## adds a tag vg with value rootvg for all metrics with sda devices.
#   # [[inputs.sysstat.device_tags.sda]]
#   #  vg = "rootvg"


# # Tacacs plugin collects successful tacacs authentication response times.
# [[inputs.tacacs]]
#   ## An array of Server IPs (or hostnames) and ports to gather from. If none specified, defaults to localhost.
#   # servers = ["127.0.0.1:49"]
#
#   ## Request source server IP, normally the server running telegraf.
#   # request_ip = "127.0.0.1"
#
#   ## Credentials for tacacs authentication.
#   username = "myuser"
#   password = "mypassword"
#   secret = "mysecret"
#
#   ## Maximum time to receive response.
#   # response_timeout = "5s"


# # Reads metrics from a Teamspeak 3 Server via ServerQuery
# [[inputs.teamspeak]]
#   ## Server address for Teamspeak 3 ServerQuery
#   # server = "127.0.0.1:10011"
#   ## Username for ServerQuery
#   username = "serverqueryuser"
#   ## Password for ServerQuery
#   password = "secret"
#   ## Nickname of the ServerQuery client
#   nickname = "telegraf"
#   ## Array of virtual servers
#   # virtual_servers = [1]


# # Read metrics about temperature
# [[inputs.temp]]
#   ## Desired output format (Linux only)
#   ## Available values are
#   ##   v1 -- use pre-v1.22.4 sensor naming, e.g. coretemp_core0_input
#   ##   v2 -- use v1.22.4+ sensor naming, e.g. coretemp_core_0_input
#   # metric_format = "v2"
#
#   ## Add device tag to distinguish devices with the same name (Linux only)
#   # add_device_tag = false


# # Read Tengine's basic status information (ngx_http_reqstat_module)
# [[inputs.tengine]]
#   ## An array of Tengine reqstat module URI to gather stats.
#   urls = ["http://127.0.0.1/us"]
#
#   ## HTTP response timeout (default: 5s)
#   # response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read time metrics from linux timex interface.
# [[inputs.timex]]
#   ## No input configuration


# # Gather metrics from the Tomcat server status page.
# [[inputs.tomcat]]
#   ## URL of the Tomcat server status
#   # url = "http://127.0.0.1:8080/manager/status/all?XML=true"
#
#   ## HTTP Basic Auth Credentials
#   # username = "tomcat"
#   # password = "s3cret"
#
#   ## Request timeout
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Inserts sine and cosine waves for demonstration purposes
# [[inputs.trig]]
#   ## Set the amplitude
#   amplitude = 10.0


# # Read Twemproxy stats data
# [[inputs.twemproxy]]
#   ## Twemproxy stats address and port (no scheme)
#   addr = "localhost:22222"
#   ## Monitor pool name
#   pools = ["redis_pool", "mc_pool"]


# # A plugin to collect stats from the Unbound DNS resolver
# [[inputs.unbound]]
#   ## Address of server to connect to, read from unbound conf default, optionally ':port'
#   ## Will lookup IP if given a hostname
#   server = "127.0.0.1:8953"
#
#   ## If running as a restricted user you can prepend sudo for additional access:
#   # use_sudo = false
#
#   ## The default location of the unbound-control binary can be overridden with:
#   # binary = "/usr/sbin/unbound-control"
#
#   ## The default location of the unbound config file can be overridden with:
#   # config_file = "/etc/unbound/unbound.conf"
#
#   ## The default timeout of 1s can be overridden with:
#   # timeout = "1s"
#
#   ## When set to true, thread metrics are tagged with the thread id.
#   ##
#   ## The default is false for backwards compatibility, and will be changed to
#   ## true in a future version.  It is recommended to set to true on new
#   ## deployments.
#   thread_as_tag = false
#
#   ## Collect metrics with the histogram of the recursive query times:
#   # histogram = false


# # Monitor UPSes connected via Network UPS Tools
# [[inputs.upsd]]
#   ## A running NUT server to connect to.
#   ## IPv6 addresses must be enclosed in brackets (e.g. "[::1]")
#   # server = "127.0.0.1"
#   # port = 3493
#   # username = "user"
#   # password = "password"
#
#   ## Force parsing numbers as floats
#   ## It is highly recommended to enable this setting to parse numbers
#   ## consistently as floats to avoid database conflicts where some numbers are
#   ## parsed as integers and others as floats.
#   # force_float = false
#
#   ## Collect additional fields if they are available for the UPS
#   ## The fields need to be specified as NUT variable names, see
#   ## https://networkupstools.org/docs/developer-guide.chunked/apas02.html
#   ## Wildcards are accepted.
#   # additional_fields = []
#
#   ## Dump information for debugging
#   ## Allows to print the raw variables (and corresponding types) as received
#   ## from the NUT server ONCE for each UPS.
#   ## Please attach this information when reporting issues!
#   # log_level = "trace"


# # Read uWSGI metrics.
# [[inputs.uwsgi]]
#   ## List with urls of uWSGI Stats servers. Url must match pattern:
#   ## scheme://address[:port]
#   ##
#   ## For example:
#   ## servers = ["tcp://localhost:5050", "http://localhost:1717", "unix:///tmp/statsock"]
#   servers = ["tcp://127.0.0.1:1717"]
#
#   ## General connection timeout
#   # timeout = "5s"


# # A plugin to collect stats from Varnish HTTP Cache
# # This plugin ONLY supports non-Windows
# [[inputs.varnish]]
#   ## If running as a restricted user you can prepend sudo for additional access:
#   #use_sudo = false
#
#   ## The default location of the varnishstat binary can be overridden with:
#   binary = "/usr/bin/varnishstat"
#
#   ## Additional custom arguments for the varnishstat command
#   # binary_args = ["-f", "MAIN.*"]
#
#   ## The default location of the varnishadm binary can be overridden with:
#   adm_binary = "/usr/bin/varnishadm"
#
#   ## Custom arguments for the varnishadm command
#   # adm_binary_args = [""]
#
#   ## Metric version defaults to metric_version=1, use metric_version=2 for removal of nonactive vcls
#   ## Varnish 6.0.2 and newer is required for metric_version=2.
#   metric_version = 1
#
#   ## Additional regexps to override builtin conversion of varnish metrics into telegraf metrics.
#   ## Regexp group "_vcl" is used for extracting the VCL name. Metrics that contain nonactive VCL's are skipped.
#   ## Regexp group "_field" overrides the field name. Other named regexp groups are used as tags.
#   # regexps = ['^XCNT\.(?P<_vcl>[\w\-]*)(\.)*(?P<group>[\w\-.+]*)\.(?P<_field>[\w\-.+]*)\.val']
#
#   ## By default, telegraf gather stats for 3 metric points.
#   ## Setting stats will override the defaults shown below.
#   ## Glob matching can be used, ie, stats = ["MAIN.*"]
#   ## stats may also be set to ["*"], which will collect all stats
#   stats = ["MAIN.cache_hit", "MAIN.cache_miss", "MAIN.uptime"]
#
#   ## Optional name for the varnish instance (or working directory) to query
#   ## Usually append after -n in varnish cli
#   # instance_name = instanceName
#
#   ## Timeout for varnishstat command
#   # timeout = "1s"


# # Reads whois data and expose as metrics
# [[inputs.whois]]
#   ## List of domains to query
#   domains = ["example.com", "influxdata.com"]
#
#   ## Use Custom WHOIS server
#   # server = "whois.iana.org"
#
#   ## Timeout for WHOIS queries
#   # timeout = "30s"
#
#   ## Enable WHOIS referral chain query
#   # referral_chain_query = false


# # Input plugin to collect Windows Event Log messages
# # This plugin ONLY supports Windows
# [[inputs.win_eventlog]]
#   ## Telegraf should have Administrator permissions to subscribe for some
#   ## Windows Events channels (e.g. System log)
#
#   ## LCID (Locale ID) for event rendering
#   ## 1033 to force English language
#   ## 0 to use default Windows locale
#   # locale = 0
#
#   ## Name of eventlog, used only if xpath_query is empty
#   ## Example: "Application"
#   # eventlog_name = ""
#
#   ## xpath_query can be in defined short form like "Event/System[EventID=999]"
#   ## or you can form a XML Query. Refer to the Consuming Events article:
#   ## https://docs.microsoft.com/en-us/windows/win32/wes/consuming-events
#   ## XML query is the recommended form, because it is most flexible
#   ## You can create or debug XML Query by creating Custom View in Windows Event Viewer
#   ## and then copying resulting XML here
#   xpath_query = '''
#   <QueryList>
#     <Query Id="0" Path="Security">
#       <Select Path="Security">*</Select>
#       <Suppress Path="Security">*[System[( (EventID &gt;= 5152 and EventID &lt;= 5158) or EventID=5379 or EventID=4672)]]</Suppress>
#     </Query>
#     <Query Id="1" Path="Application">
#       <Select Path="Application">*[System[(Level &lt; 4)]]</Select>
#     </Query>
#     <Query Id="2" Path="Windows PowerShell">
#       <Select Path="Windows PowerShell">*[System[(Level &lt; 4)]]</Select>
#     </Query>
#     <Query Id="3" Path="System">
#       <Select Path="System">*</Select>
#     </Query>
#     <Query Id="4" Path="Setup">
#       <Select Path="Setup">*</Select>
#     </Query>
#   </QueryList>
#   '''
#
#   ## When true, event logs are read from the beginning; otherwise only future
#   ## events will be logged.
#   # from_beginning = false
#
#   ## Number of events to fetch in one batch
#   # event_batch_size = 5
#
#   # Process UserData XML to fields, if this node exists in Event XML
#   # process_userdata = true
#
#   # Process EventData XML to fields, if this node exists in Event XML
#   # process_eventdata = true
#
#   ## Separator character to use for unrolled XML Data field names
#   # separator = "_"
#
#   ## Get only first line of Message field. For most events first line is
#   ## usually more than enough
#   # only_first_line_of_message = true
#
#   ## Parse timestamp from TimeCreated.SystemTime event field.
#   ## Will default to current time of telegraf processing on parsing error or if
#   ## set to false
#   # timestamp_from_event = true
#
#   ## System field names:
#   ##   "Source", "EventID", "Version", "Level", "Task", "Opcode", "Keywords",
#   ##   "TimeCreated", "EventRecordID", "ActivityID", "RelatedActivityID",
#   ##   "ProcessID", "ThreadID", "ProcessName", "Channel", "Computer", "UserID",
#   ##   "UserName", "Message", "LevelText", "TaskText", "OpcodeText"
#   ##
#   ## In addition to System, Data fields can be unrolled from additional XML
#   ## nodes in event. Human-readable representation of those nodes is formatted
#   ## into event Message field, but XML is more machine-parsable
#
#   ## Event fields to include as tags
#   ## The values below are included by default.
#   ## Globbing supported (e.g. "Level*" matches both "Level" and "LevelText")
#   # event_tags = ["Source", "EventID", "Level", "LevelText", "Task", "TaskText", "Opcode", "OpcodeText", "Keywords", "Channel", "Computer"]
#
#   ## Event fields to include
#   ## All fields are sent by default.
#   ## Globbing supported (e.g. "Level*" matches both "Level" and "LevelText")
#   # event_fields = ["*"]
#
#   ## Event fields to exclude
#   ## Note that if you exclude all fields then no metrics are produced. A valid
#   ## metric includes at least one field.
#   ## Globbing supported (e.g. "Level*" matches both "Level" and "LevelText")
#   # exclude_fields = []
#
#   ## Event fields to exclude if their value is empty or equals to zero
#   ## The values below are included by default.
#   ## Globbing supported (e.g. "Level*" matches both "Level" and "LevelText")
#   # exclude_empty = ["Task", "Opcode", "*ActivityID", "UserID"]
#
#   ## Maximum memory size available for an event to render
#   ## Events larger that that are not processed and will not create a metric.
#   ## NOTE: As events are encoded in UTF-16 we need two bytes per character.
#   # event_size_limit = "64KB"


# # Input plugin to counterPath Performance Counters on Windows operating systems
# # This plugin ONLY supports Windows
# [[inputs.win_perf_counters]]
#   ## By default this plugin returns basic CPU and Disk statistics. See the
#   ## README file for more examples. Uncomment examples below or write your own
#   ## as you see fit. If the system being polled for data does not have the
#   ## Object at startup of the Telegraf agent, it will not be gathered.
#
#   ## Print All matching performance counters
#   # PrintValid = false
#
#   ## Whether request a timestamp along with the PerfCounter data or use current
#   ## time
#   # UsePerfCounterTime = true
#
#   ## If UseWildcardsExpansion params is set to true, wildcards (partial
#   ## wildcards in instance names and wildcards in counters names) in configured
#   ## counter paths will be expanded and in case of localized Windows, counter
#   ## paths will be also localized. It also returns instance indexes in instance
#   ## names. If false, wildcards (not partial) in instance names will still be
#   ## expanded, but instance indexes will not be returned in instance names.
#   # UseWildcardsExpansion = false
#
#   ## When running on a localized version of Windows and with
#   ## UseWildcardsExpansion = true, Windows will localize object and counter
#   ## names. When LocalizeWildcardsExpansion = false, use the names in
#   ## object.Counters instead of the localized names. Only Instances can have
#   ## wildcards in this case. ObjectName and Counters must not have wildcards
#   ## when this setting is false.
#   # LocalizeWildcardsExpansion = true
#
#   ## Period after which counters will be reread from configuration and
#   ## wildcards in counter paths expanded
#   # CountersRefreshInterval="1m"
#
#   ## Accepts a list of PDH error codes which are defined in pdh.go, if this
#   ## error is encountered it will be ignored. For example, you can provide
#   ## "PDH_NO_DATA" to ignore performance counters with no instances. By default
#   ## no errors are ignored You can find the list here:
#   ##   https://github.com/influxdata/telegraf/blob/master/plugins/inputs/win_perf_counters/pdh.go
#   ## e.g. IgnoredErrors = ["PDH_NO_DATA"]
#   # IgnoredErrors = []
#
#   ## Maximum size of the buffer for values returned by the API
#   ## Increase this value if you experience "buffer limit reached" errors.
#   # MaxBufferSize = "4MiB"
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   # [[inputs.win_perf_counters.object]]
#     # Measurement = ""
#     # ObjectName = ""
#     # Instances = [""]
#     # Counters = []
#     ## Additional Object Settings
#     ##   * IncludeTotal: set to true to include _Total instance when querying
#     ##                   for all metrics via '*'
#     ##   * WarnOnMissing: print out when the performance counter is missing
#     ##                    from object, counter or instance
#     ##   * UseRawValues: gather raw values instead of formatted. Raw values are
#     ##                   stored in the field name with the "_Raw" suffix, e.g.
#     ##                   "Disk_Read_Bytes_sec_Raw".
#     # IncludeTotal = false
#     # WarnOnMissing = false
#     # UseRawValues = false
#
#   ## Processor usage, alternative to native, reports on a per core.
#   # [[inputs.win_perf_counters.object]]
#     # Measurement = "win_cpu"
#     # ObjectName = "Processor"
#     # Instances = ["*"]
#     # UseRawValues = true
#     # Counters = [
#     #   "% Idle Time",
#     #   "% Interrupt Time",
#     #   "% Privileged Time",
#     #   "% User Time",
#     #   "% Processor Time",
#     #   "% DPC Time",
#     # ]
#
#   ## Disk times and queues
#   # [[inputs.win_perf_counters.object]]
#     # Measurement = "win_disk"
#     # ObjectName = "LogicalDisk"
#     # Instances = ["*"]
#     # Counters = [
#     #   "% Idle Time",
#     #   "% Disk Time",
#     #   "% Disk Read Time",
#     #   "% Disk Write Time",
#     #   "% User Time",
#     #   "% Free Space",
#     #   "Current Disk Queue Length",
#     #   "Free Megabytes",
#     # ]
#
#   # [[inputs.win_perf_counters.object]]
#     # Measurement = "win_diskio"
#     # ObjectName = "PhysicalDisk"
#     # Instances = ["*"]
#     # Counters = [
#     #   "Disk Read Bytes/sec",
#     #   "Disk Write Bytes/sec",
#     #   "Current Disk Queue Length",
#     #   "Disk Reads/sec",
#     #   "Disk Writes/sec",
#     #   "% Disk Time",
#     #   "% Disk Read Time",
#     #   "% Disk Write Time",
#     # ]
#
#   # [[inputs.win_perf_counters.object]]
#     # Measurement = "win_net"
#     # ObjectName = "Network Interface"
#     # Instances = ["*"]
#     # Counters = [
#     # "Bytes Received/sec",
#     # "Bytes Sent/sec",
#     # "Packets Received/sec",
#     # "Packets Sent/sec",
#     # "Packets Received Discarded",
#     # "Packets Outbound Discarded",
#     # "Packets Received Errors",
#     # "Packets Outbound Errors",
#     # ]
#
#   # [[inputs.win_perf_counters.object]]
#     # Measurement = "win_system"
#     # ObjectName = "System"
#     # Instances = ["------"]
#     # Counters = [
#     #   "Context Switches/sec",
#     #   "System Calls/sec",
#     #   "Processor Queue Length",
#     #   "System Up Time",
#     # ]
#
#   ## Example counterPath where the Instance portion must be removed to get
#   ## data back, such as from the Memory object.
#   # [[inputs.win_perf_counters.object]]
#     # Measurement = "win_mem"
#     # ObjectName = "Memory"
#     ## Use 6 x - to remove the Instance bit from the counterPath.
#     # Instances = ["------"]
#     # Counters = [
#     #   "Available Bytes",
#     #   "Cache Faults/sec",
#     #   "Demand Zero Faults/sec",
#     #   "Page Faults/sec",
#     #   "Pages/sec",
#     #   "Transition Faults/sec",
#     #   "Pool Nonpaged Bytes",
#     #   "Pool Paged Bytes",
#     #   "Standby Cache Reserve Bytes",
#     #   "Standby Cache Normal Priority Bytes",
#     #   "Standby Cache Core Bytes",
#     # ]
#
#   ## Example query where the Instance portion must be removed to get data back,
#   ## such as from the Paging File object.
#   # [[inputs.win_perf_counters.object]]
#     # Measurement = "win_swap"
#     # ObjectName = "Paging File"
#     # Instances = ["_Total"]
#     # Counters = [
#     #   "% Usage",
#     # ]


# # Input plugin to report Windows services info.
# # This plugin ONLY supports Windows
# [[inputs.win_services]]
#   ## Names of the services to monitor. Leave empty to monitor all the available
#   ## services on the host. Globs accepted. Case insensitive.
#   service_names = [
#     "LanmanServer",
#     "TermService",
#     "Win*",
#   ]
#
#   # optional, list of service names to exclude
#   excluded_service_names = ['WinRM']


# # Input plugin to query Windows Management Instrumentation
# # This plugin ONLY supports Windows
# [[inputs.win_wmi]]
#   ## Hostname or IP for remote connections, by default the local machine is queried
#   # host = ""
#   ## Credentials for the connection, by default no credentials are used
#   # username = ""
#   # password = ""
#
#   ## WMI query to execute, multiple methods are possible
#   [[inputs.win_wmi.query]]
#     ## Namespace, class and a list of properties to use in the WMI query
#     namespace = "root\\cimv2"
#     class_name = "Win32_Volume"
#     properties = ["Name", "Capacity", "FreeSpace"]
#     ## Optional WHERE clause for the WQL query
#     # filter = 'NOT Name LIKE "\\\\?\\%"'
#     ## Returned properties to use as tags instead of fields
#     # tag_properties = ["Name"]
#
#   # ## WMI method to invoke, multiple methods are possible
#   # [[inputs.win_wmi.method]]
#   #   ## WMI namespace, class and method to use
#   #   namespace = 'root\default'
#   #   class_name = "StdRegProv"
#   #   method = "GetStringValue"
#   #   ## Returned WMI method values to use as tags instead of fields
#   #   # tag_properties = ["ReturnValue"]
#   #   ## Named arguments for the method call
#   #   [inputs.win_wmi.method.arguments]
#   #     hDefKey = '2147483650'
#   #     sSubKeyName = 'Software\Microsoft\windows NT\CurrentVersion'
#   #     sValueName = 'ProductName'
#   #   ## Mapping of the name of the returned property to a field-name
#   #   [inputs.win_wmi.method.fields]
#   #       sValue = "product_name"


# # Collect Wireguard server interface and peer statistics
# [[inputs.wireguard]]
#   ## Optional list of Wireguard device/interface names to query.
#   ## If omitted, all Wireguard interfaces are queried.
#   # devices = ["wg0"]


# # Monitor wifi signal strength and quality
# # This plugin ONLY supports Linux
# [[inputs.wireless]]
#   ## Sets 'proc' directory path
#   ## If not specified, then default is /proc
#   # host_proc = "/proc"


# # Reads metrics from a SSL certificate
# [[inputs.x509_cert]]
#   ## List certificate sources, support wildcard expands for files
#   ## Prefix your entry with 'file://' if you intend to use relative paths
#   sources = ["tcp://example.org:443", "https://influxdata.com:443",
#             "smtp://mail.localhost:25", "udp://127.0.0.1:4433",
#             "/etc/ssl/certs/ssl-cert-snakeoil.pem",
#             "/etc/mycerts/*.mydomain.org.pem", "file:///path/to/*.pem",
#             "jks:///etc/mycerts/keystore.jks",
#             "pkcs12:///etc/mycerts/keystore.p12",
#             "wincertstore://machine:ROOT", "wincertstore://user:CA"]
#
#   ## Timeout for SSL connection
#   # timeout = "5s"
#
#   ## Pass a different name into the TLS request (Server Name Indication).
#   ## This is synonymous with tls_server_name, and only one of the two
#   ## options may be specified at one time.
#   ##   example: server_name = "myhost.example.org"
#   # server_name = "myhost.example.org"
#
#   ## Only output the leaf certificates and omit the root ones.
#   # exclude_root_certs = false
#
#   ## Pad certificate serial number with zeroes to 128-bits.
#   # pad_serial_with_zeroes = false
#
#   ## Password to be used with PKCS#12 or JKS files
#   # password = ""
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   # tls_server_name = "myhost.example.org"
#
#   ## Set the proxy URL
#   # use_proxy = true
#   # proxy_url = "http://localhost:8888"


#  # Gathers Metrics From a Dell EMC XtremIO Storage Array's V3 API
# [[inputs.xtremio]]
#   ## XtremIO User Interface Endpoint
#   url = "https://xtremio.example.com/" # required
#
#   ## Credentials
#   username = "user1"
#   password = "pass123"
#
#   ## Metrics to collect from the XtremIO
#   # collectors = ["bbus","clusters","ssds","volumes","xms"]
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use SSL but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics of ZFS from arcstats, zfetchstats, vdev_cache_stats, pools and datasets
# # This plugin ONLY supports Linux & FreeBSD
# [[inputs.zfs]]
#   ## ZFS kstat path. Ignored on FreeBSD
#   ## If not specified, then default is:
#   # kstatPath = "/proc/spl/kstat/zfs"
#
#   ## By default, telegraf gather all zfs stats
#   ## Override the stats list using the kstatMetrics array:
#   ## For FreeBSD, the default is:
#   # kstatMetrics = ["arcstats", "zfetchstats", "vdev_cache_stats"]
#   ## For Linux, the default is:
#   # kstatMetrics = ["abdstats", "arcstats", "dnodestats", "dbufcachestats",
#   #     "dmu_tx", "fm", "vdev_mirror_stats", "zfetchstats", "zil"]
#
#   ## By default, don't gather zpool stats
#   # poolMetrics = false
#
#   ## By default, don't gather dataset stats
#   # datasetMetrics = false
#
#   ## Report fields as the type defined by ZFS (Linux only)
#   ## This is disabled for backward compatibility but is STRONGLY RECOMMENDED
#   ## to be enabled to avoid overflows. This requires UINT support on the output
#   ## for most fields.
#   ## useNativeTypes = false


# # Reads 'mntr' stats from one or many zookeeper servers
# [[inputs.zookeeper]]
#   ## An array of address to gather stats about. Specify an ip or hostname
#   ## with port. ie localhost:2181, 10.0.0.1:2181, etc.
#
#   ## If no servers are specified, then localhost is used as the host.
#   ## If no port is specified, 2181 is used
#   servers = [":2181"]
#
#   ## Timeout for metric collections from all servers.  Minimum timeout is "1s".
#   # timeout = "5s"
#
#   ## Float Parsing - the initial implementation forced any value unable to be
#   ## parsed as an int to be a string. Setting this to "float" will attempt to
#   ## parse float values as floats and not strings. This would break existing
#   ## metrics and may cause issues if a value switches between a float and int.
#   # parse_floats = "string"
#
#   ## Optional TLS Config
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable =
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Password for the key file if it is encrypted
#   # tls_key_pwd = ""
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Minimal TLS version to accept by the client
#   # tls_min_version = "TLS12"
#   ## List of ciphers to accept, by default all secure ciphers will be accepted
#   ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
#   ## Use "all", "secure" and "insecure" to add all support ciphers, secure
#   ## suites or insecure suites respectively.
#   # tls_cipher_suites = ["secure"]
#   ## Renegotiation method, "never", "once" or "freely"
#   # tls_renegotiation_method = "never"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


###############################################################################
#                            SERVICE INPUT PLUGINS                            #
###############################################################################


# # Pull Metric Statistics from Aliyun CMS
# [[inputs.aliyuncms]]
#   ## Aliyun Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Ram RoleArn credential
#   ## 2) AccessKey STS token credential
#   ## 3) AccessKey credential
#   ## 4) Ecs Ram Role credential
#   ## 5) RSA keypair credential
#   ## 6) Environment variables credential
#   ## 7) Instance metadata credential
#
#   # access_key_id = ""
#   # access_key_secret = ""
#   # access_key_sts_token = ""
#   # role_arn = ""
#   # role_session_name = ""
#   # private_key = ""
#   # public_key_id = ""
#   # role_name = ""
#
#   ## Specify ali cloud regions to be queried for metric and object discovery
#   ## If not set, all supported regions (see below) would be covered, it can
#   ## provide a significant load on API, so the recommendation here is to
#   ## limit the list as much as possible.
#   ## Allowed values: https://www.alibabacloud.com/help/zh/doc-detail/40654.htm
#   ## Default supported regions are:
#   ##   cn-qingdao,cn-beijing,cn-zhangjiakou,cn-huhehaote,cn-hangzhou,
#   ##   cn-shanghai, cn-shenzhen, cn-heyuan,cn-chengdu,cn-hongkong,
#   ##   ap-southeast-1,ap-southeast-2,ap-southeast-3,ap-southeast-5,
#   ##   ap-south-1,ap-northeast-1, us-west-1,us-east-1,eu-central-1,
#   ##   eu-west-1,me-east-1
#   ##
#   ## From discovery perspective it set the scope for object discovery,
#   ## the discovered info can be used to enrich the metrics with objects
#   ##  attributes/tags. Discovery is not supported for all projects.
#   ## Currently, discovery supported for the following projects:
#   ## - acs_ecs_dashboard
#   ## - acs_rds_dashboard
#   ## - acs_slb_dashboard
#   ## - acs_vpc_eip
#   regions = ["cn-hongkong"]
#
#   ## Requested AliyunCMS aggregation Period (required)
#   ## The period must be multiples of 60s and the minimum for AliyunCMS metrics
#   ## is 1 minute (60s). However not all metrics are made available to the
#   ## one minute period. Some are collected at 3 minute, 5 minute, or larger
#   ## intervals.
#   ## See: https://help.aliyun.com/document_detail/51936.html?spm=a2c4g.11186623.2.18.2bc1750eeOw1Pv
#   ## Note that if a period is configured that is smaller than the minimum for
#   ## a particular metric, that metric will not be returned by Aliyun's
#   ## OpenAPI and will not be collected by Telegraf.
#   period = "5m"
#
#   ## Collection Delay (required)
#   ## The delay must account for metrics availability via AliyunCMS API.
#   delay = "1m"
#
#   ## Recommended: use metric 'interval' that is a multiple of 'period'
#   ## to avoid gaps or overlap in pulled data
#   interval = "5m"
#
#   ## Metric Statistic Project (required)
#   project = "acs_slb_dashboard"
#
#   ## Maximum requests per second, default value is 200
#   ratelimit = 200
#
#   ## How often the discovery API call executed (default 1m)
#   #discovery_interval = "1m"
#
#   ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
#   ## plugin definition, otherwise additional config options are read as part of
#   ## the table
#
#   ## Metrics to Pull
#   ## At least one metrics definition required
#   [[inputs.aliyuncms.metrics]]
#     ## Metrics names to be requested,
#     ## Description can be found here (per project):
#     ## https://help.aliyun.com/document_detail/28619.html?spm=a2c4g.11186623.6.690.1938ad41wg8QSq
#     names = ["InstanceActiveConnection", "InstanceNewConnection"]
#
#     ## Dimension filters for Metric (optional)
#     ## This allows to get additional metric dimension. If dimension is not
#     ## specified it can be returned or the data can be aggregated - it depends
#     ## on particular metric, you can find details here:
#     ##   https://help.aliyun.com/document_detail/28619.html?spm=a2c4g.11186623.6.690.1938ad41wg8QSq
#     ##
#     ## Note, that by default dimension filter includes the list of discovered
#     ## objects in scope (if discovery is enabled). Values specified here would
#     ## be added into the list of discovered objects. You can specify either
#     ## single dimension:
#     # dimensions = '{"instanceId": "p-example"}'
#
#     ## Or you can specify several dimensions at once:
#     # dimensions = '[{"instanceId": "p-example"},{"instanceId": "q-example"}]'
#
#     ## Tag Query Path
#     ## The following tags added by default:
#     ##   * regionId (if discovery enabled)
#     ##   * userId
#     ##   * instanceId
#     ## Enrichment tags, can be added from discovery (if supported)
#     ## Notation is
#     ##   <measurement_tag_name>:<JMES query path (https://jmespath.org/tutorial.html)>
#     ## To figure out which fields are available, consult the
#     ## Describe<ObjectType> API per project. For example, for SLB see:
#     ##   https://api.aliyun.com/#/?product=Slb&version=2014-05-15&api=DescribeLoadBalancers&params={}&tab=MOCK&lang=GO
#     # tag_query_path = [
#     #    "address:Address",
#     #    "name:LoadBalancerName",
#     #    "cluster_owner:Tags.Tag[?TagKey=='cs.cluster.name'].TagValue | [0]"
#     #    ]
#
#     ## Allow metrics without discovery data, if discovery is enabled.
#     ## If set to true, then metric without discovery data would be emitted, otherwise dropped.
#     ## This cane be of help, in case debugging dimension filters, or partial coverage of
#     ## discovery scope vs monitoring scope
#     # allow_dps_without_discovery = false


# # Query statistics from AMD Graphics cards using rocm-smi binary
# [[inputs.amd_rocm_smi]]
#   ## Optional: path to rocm-smi binary, defaults to $PATH via exec.LookPath
#   # bin_path = "/opt/rocm/bin/rocm-smi"
#
#   ## Optional: timeout for GPU polling
#   # timeout = "5s"


# # AMQP consumer plugin
# [[inputs.amqp_consumer]]
#   ## Brokers to consume from.  If multiple brokers are specified a random broker
#   ## will be selected anytime a connection is established.  This can be
#   ## helpful for load balancing when not using a dedicated load balancer.
#   brokers = ["amqp://localhost:5672/influxdb"]
#
#   ## Authentication credentials for the PLAIN auth_method.
#   # username = ""
#   # password = ""
#
#   ## Name of the exchange to declare.  If unset, no exchange will be declared.
#   exchange = "telegraf"
#
#   ## Exchange type; common types are "direct", "fanout", "topic", "header", "x-consistent-hash".
#   # exchange_type = "topic"
#
#   ## If true, exchange will be passively declared.
#   # exchange_passive = false
#
#   ## Exchange durability can be either "transient" or "durable".
#   # exchange_durability = "durable"
#
#   ## Additional exchange arguments.
#   # exchange_arguments = { }
#   # exchange_arguments = {"hash_property" = "timestamp"}
#
#   ## AMQP queue name.
#   queue = "telegraf"
#
#   ## AMQP queue durability can be "transient" or "durable".
#   queue_durability = "durable"
#
#   ## If true, queue will be passively declared.
#   # queue_passive = false
#
#   ## Additional arguments when consuming from Queue
#   # queue_consume_arguments = { }
#   # queue_consume_arguments = {"x-stream-offset" = "first"}
#
#   ## Additional queue arguments.
#   # queue_arguments = { }
#   # queue_arguments = {"x-max-length" = 100}
#
#   ## A binding between the exchange and queue using this binding key is
#   ## created.  If unset, no binding is created.
#   binding_key = "#"
#
#   ## Maximum number of messages server should give to the worker.
#   # prefetch_count = 50
#
#   ## Max undelivered messages
#   ## This plugin uses tracking metrics, which ensure messages are read to
#   ## outputs before acknowledging them to the original broker to ensure data
#   ## is not lost. This option sets the maximum messages to read from the
#   ## broker that have not been written by an output.
#   ##
#   ## This value needs to be picked with awareness of the agent's
#   ## metric_batch_size value as well. Setting max undelivered messages too high
#   ## can result in a constant stream of data batches to the output. While
#   ## setting it too low may never flush the broker's messages.
#   # max_undelivered_messages = 1000
#
#   ## Timeout for establishing the connection to a broker
#   # timeout = "30s"
#
#   ## Auth method. PLAIN and EXTERNAL are supported
#   ## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as
#   ## described here: https://www.rabbitmq.com/plugins.html
#   # auth_method = "PLAIN"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Content encoding for message payloads, can be set to
#   ## "gzip", "identity" or "auto"
#   ## - Use "gzip" to decode gzip
#   ## - Use "identity" to apply no encoding
#   ## - Use "auto" determine the encoding using the ContentEncoding header
#   # content_encoding = "identity"
#
#   ## Maximum size of decoded message.
#   ## Acceptable units are B, KiB, KB, MiB, MB...
#   ## Without quotes and units, interpreted as size in bytes.
#   # max_decompression_size = "500MB"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Get standard chrony metrics.
# [[inputs.chrony]]
#   ## Server address of chronyd with address scheme
#   ## If empty or not set, the plugin will mimic the behavior of chronyc and
#   ## check "unixgram:///run/chrony/chronyd.sock", "udp://127.0.0.1:323"
#   ## and "udp://[::1]:323".
#   # server = ""
#
#   ## Timeout for establishing the connection
#   # timeout = "5s"
#
#   ## Try to resolve received addresses to host-names via DNS lookups
#   ## Disabled by default to avoid DNS queries especially for slow DNS servers.
#   # dns_lookup = false
#
#   ## Metrics to query named according to chronyc commands
#   ## Available settings are:
#   ##   activity    -- number of peers online or offline
#   ##   tracking    -- information about system's clock performance
#   ##   serverstats -- chronyd server statistics
#   ##   sources     -- extended information about peers
#   ##   sourcestats -- statistics on peers
#   # metrics = ["tracking"]
#
#   ## Socket group & permissions
#   ## If the user requests collecting metrics via unix socket, then it is created
#   ## with the following group and permissions.
#   # socket_group = "chrony"
#   # socket_perms = "0660"


# # Cisco model-driven telemetry (MDT) input plugin for IOS XR, IOS XE and NX-OS platforms
# [[inputs.cisco_telemetry_mdt]]
#  ## Telemetry transport can be "tcp" or "grpc".  TLS is only supported when
#  ## using the grpc transport.
#  transport = "grpc"
#
#  ## Address and port to host telemetry listener
#  service_address = ":57000"
#
#  ## Grpc Maximum Message Size, default is 4MB, increase the size. This is
#  ## stored as a uint32, and limited to 4294967295.
#  max_msg_size = 4000000
#
#  ## Enable TLS; grpc transport only.
#  # tls_cert = "/etc/telegraf/cert.pem"
#  # tls_key = "/etc/telegraf/key.pem"
#
#  ## Enable TLS client authentication and define allowed CA certificates; grpc
#  ##  transport only.
#  # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#  ## Define (for certain nested telemetry measurements with embedded tags) which fields are tags
#  # embedded_tags = ["Cisco-IOS-XR-qos-ma-oper:qos/interface-table/interface/input/service-policy-names/service-policy-instance/statistics/class-stats/class-name"]
#
#  ## Include the delete field in every telemetry message.
#  # include_delete_field = false
#
#  ## Specify custom name for incoming MDT source field.
#  # source_field_name = "mdt_source"
#
#  ## Define aliases to map telemetry encoding paths to simple measurement names
#  [inputs.cisco_telemetry_mdt.aliases]
#    ifstats = "ietf-interfaces:interfaces-state/interface/statistics"
#  ## Define Property Xformation, please refer README and https://pubhub.devnetcloud.com/media/dme-docs-9-3-3/docs/appendix/ for Model details.
#  [inputs.cisco_telemetry_mdt.dmes]
# #    Global Property Xformation.
# #    prop1 = "uint64 to int"
# #    prop2 = "uint64 to string"
# #    prop3 = "string to uint64"
# #    prop4 = "string to int64"
# #    prop5 = "string to float64"
# #    auto-prop-xfrom = "auto-float-xfrom" #Xform any property which is string, and has float number to type float64
# #    Per Path property xformation, Name is telemetry configuration under sensor-group, path configuration "WORD         Distinguished Name"
# #    Per Path configuration is better as it avoid property collision issue of types.
# #    dnpath = '{"Name": "show ip route summary","prop": [{"Key": "routes","Value": "string"}, {"Key": "best-paths","Value": "string"}]}'
# #    dnpath2 = '{"Name": "show processes cpu","prop": [{"Key": "kernel_percent","Value": "float"}, {"Key": "idle_percent","Value": "float"}, {"Key": "process","Value": "string"}, {"Key": "user_percent","Value": "float"}, {"Key": "onesec","Value": "float"}]}'
# #    dnpath3 = '{"Name": "show processes memory physical","prop": [{"Key": "processname","Value": "string"}]}'
#
#  ## Additional GRPC connection settings.
#  [inputs.cisco_telemetry_mdt.grpc_enforcement_policy]
#   ## GRPC permit keepalives without calls, set to true if your clients are
#   ## sending pings without calls in-flight. This can sometimes happen on IOS-XE
#   ## devices where the GRPC connection is left open but subscriptions have been
#   ## removed, and adding subsequent subscriptions does not keep a stable session.
#   # permit_keepalive_without_calls = false
#
#   ## GRPC minimum timeout between successive pings, decreasing this value may
#   ## help if this plugin is closing connections with ENHANCE_YOUR_CALM (too_many_pings).
#   # keepalive_minimum_time = "5m"


# # Read metrics from one or many ClickHouse servers
# [[inputs.clickhouse]]
#   ## Username for authorization on ClickHouse server
#   username = "default"
#
#   ## Password for authorization on ClickHouse server
#   # password = ""
#
#   ## HTTP(s) timeout while getting metrics values
#   ## The timeout includes connection time, any redirects, and reading the
#   ## response body.
#   # timeout = 5s
#
#   ## List of servers for metrics scraping
#   ## metrics scrape via HTTP(s) clickhouse interface
#   ## https://clickhouse.tech/docs/en/interfaces/http/
#   servers = ["http://127.0.0.1:8123"]
#
#   ## Server Variant
#   ## When set to "managed", some queries are excluded from being run. This is
#   ## useful for instances hosted in ClickHouse Cloud where certain tables are
#   ## not available.
#   # variant = "self-hosted"
#
#   ## If "auto_discovery"" is "true" plugin tries to connect to all servers
#   ## available in the cluster with using same "user:password" described in
#   ## "user" and "password" parameters and get this server hostname list from
#   ## "system.clusters" table. See
#   ## - https://clickhouse.tech/docs/en/operations/system_tables/#system-clusters
#   ## - https://clickhouse.tech/docs/en/operations/server_settings/settings/#server_settings_remote_servers
#   ## - https://clickhouse.tech/docs/en/operations/table_engines/distributed/
#   ## - https://clickhouse.tech/docs/en/operations/table_engines/replication/#creating-replicated-tables
#   # auto_discovery = true
#
#   ## Filter cluster names in "system.clusters" when "auto_discovery" is "true"
#   ## when this filter present then "WHERE cluster IN (...)" filter will apply
#   ## please use only full cluster names here, regexp and glob filters is not
#   ## allowed for "/etc/clickhouse-server/config.d/remote.xml"
#   ## <yandex>
#   ##  <remote_servers>
#   ##    <my-own-cluster>
#   ##        <shard>
#   ##          <replica><host>clickhouse-ru-1.local</host><port>9000</port></replica>
#   ##          <replica><host>clickhouse-ru-2.local</host><port>9000</port></replica>
#   ##        </shard>
#   ##        <shard>
#   ##          <replica><host>clickhouse-eu-1.local</host><port>9000</port></replica>
#   ##          <replica><host>clickhouse-eu-2.local</host><port>9000</port></replica>
#   ##        </shard>
#   ##    </my-own-cluster>
#   ##  </remote_servers>
#   ##
#   ## </yandex>
#   ##
#   ## example: cluster_include = ["my-own-cluster"]
#   # cluster_include = []
#
#   ## Filter cluster names in "system.clusters" when "auto_discovery" is
#   ## "true" when this filter present then "WHERE cluster NOT IN (...)"
#   ## filter will apply
#   ##    example: cluster_exclude = ["my-internal-not-discovered-cluster"]
#   # cluster_exclude = []
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics from Google PubSub
# [[inputs.cloud_pubsub]]
#   ## Required. Name of Google Cloud Platform (GCP) Project that owns
#   ## the given PubSub subscription.
#   project = "my-project"
#
#   ## Required. Name of PubSub subscription to ingest metrics from.
#   subscription = "my-subscription"
#
#   ## Required. Data format to consume.
#   ## Each data format has its own unique set of configuration options.
#   ## Read more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"
#
#   ## Optional. Filepath for GCP credentials JSON file to authorize calls to
#   ## PubSub APIs. If not set explicitly, Telegraf will attempt to use
#   ## Application Default Credentials, which is preferred.
#   # credentials_file = "path/to/my/creds.json"
#
#   ## Optional. Number of seconds to wait before attempting to restart the
#   ## PubSub subscription receiver after an unexpected error.
#   ## If the streaming pull for a PubSub Subscription fails (receiver),
#   ## the agent attempts to restart receiving messages after this many seconds.
#   # retry_delay_seconds = 5
#
#   ## Optional. Maximum byte length of a message to consume.
#   ## Larger messages are dropped with an error. If less than 0 or unspecified,
#   ## treated as no limit.
#   # max_message_len = 1000000
#
#   ## Max undelivered messages
#   ## This plugin uses tracking metrics, which ensure messages are read to
#   ## outputs before acknowledging them to the original broker to ensure data
#   ## is not lost. This option sets the maximum messages to read from the
#   ## broker that have not been written by an output.
#   ##
#   ## This value needs to be picked with awareness of the agent's
#   ## metric_batch_size value as well. Setting max undelivered messages too high
#   ## can result in a constant stream of data batches to the output. While
#   ## setting it too low may never flush the broker's messages.
#   # max_undelivered_messages = 1000
#
#   ## The following are optional Subscription ReceiveSettings in PubSub.
#   ## Read more about these values:
#   ## https://godoc.org/cloud.google.com/go/pubsub/v2#ReceiveSettings
#
#   ## Optional. Maximum number of seconds for which a PubSub subscription
#   ## should auto-extend the PubSub ACK deadline for each message. If less than
#   ## 0, auto-extension is disabled.
#   # max_extension = 0
#
#   ## Optional. Maximum number of unprocessed messages in PubSub
#   ## (unacknowledged but not yet expired in PubSub).
#   ## A value of 0 is treated as the default PubSub value.
#   ## Negative values will be treated as unlimited.
#   # max_outstanding_messages = 0
#
#   ## Optional. Maximum size in bytes of unprocessed messages in PubSub
#   ## (unacknowledged but not yet expired in PubSub).
#   ## A value of 0 is treated as the default PubSub value.
#   ## Negative values will be treated as unlimited.
#   # max_outstanding_bytes = 0
#
#   ## Optional. Max number of goroutines a PubSub Subscription receiver can spawn
#   ## to pull messages from PubSub concurrently. This limit applies to each
#   ## subscription separately and is treated as the PubSub default if less than
#   ## 1. Note this setting does not limit the number of messages that can be
#   ## processed concurrently (use "max_outstanding_messages" instead).
#   # max_receiver_go_routines = 0
#
#   ## Optional. If true, Telegraf will attempt to base64 decode the
#   ## PubSub message data before parsing. Many GCP services that
#   ## output JSON to Google PubSub base64-encode the JSON payload.
#   # base64_data = false
#
#   ## Content encoding for message payloads, can be set to "gzip" or
#   ## "identity" to apply no encoding.
#   # content_encoding = "identity"
#
#   ## If content encoding is not "identity", sets the maximum allowed size,
#   ## in bytes, for a message payload when it's decompressed. Can be increased
#   ## for larger payloads or reduced to protect against decompression bombs.
#   ## Acceptable units are B, KiB, KB, MiB, MB...
#   # max_decompression_size = "500MB"


# # Google Cloud Pub/Sub Push HTTP listener
# [[inputs.cloud_pubsub_push]]
#   ## Address and port to host HTTP listener on
#   service_address = ":8080"
#
#   ## Application secret to verify messages originate from Cloud Pub/Sub
#   # token = ""
#
#   ## Path to listen to.
#   # path = "/"
#
#   ## Maximum duration before timing out read of the request
#   # read_timeout = "10s"
#   ## Maximum duration before timing out write of the response. This should be
#   ## set to a value large enough that you can send at least 'metric_batch_size'
#   ## number of messages within the duration.
#   # write_timeout = "10s"
#
#   ## Maximum allowed http request body size in bytes.
#   ## 0 means to use the default of 524,288,00 bytes (500 mebibytes)
#   # max_body_size = "500MB"
#
#   ## Whether to add the pubsub metadata, such as message attributes and
#   ## subscription as a tag.
#   # add_meta = false
#
#   ## Max undelivered messages
#   ## This plugin uses tracking metrics, which ensure messages are read to
#   ## outputs before acknowledging them to the original broker to ensure data
#   ## is not lost. This option sets the maximum messages to read from the
#   ## broker that have not been written by an output.
#   ##
#   ## This value needs to be picked with awareness of the agent's
#   ## metric_batch_size value as well. Setting max undelivered messages too high
#   ## can result in a constant stream of data batches to the output. While
#   ## setting it too low may never flush the broker's messages.
#   # max_undelivered_messages = 1000
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Add service certificate and key
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # AWS Metric Streams listener
# [[inputs.cloudwatch_metric_streams]]
#   ## Address and port to host HTTP listener on
#   service_address = ":443"
#
#   ## Paths to listen to.
#   # paths = ["/telegraf"]
#
#   ## maximum duration before timing out read of the request
#   # read_timeout = "10s"
#
#   ## maximum duration before timing out write of the response
#   # write_timeout = "10s"
#
#   ## Maximum allowed http request body size in bytes.
#   ## 0 means to use the default of 524,288,000 bytes (500 mebibytes)
#   # max_body_size = "500MB"
#
#   ## Optional access key for Firehose security.
#   # access_key = "test-key"
#
#   ## An optional flag to keep Metric Streams metrics compatible with
#   ## CloudWatch's API naming
#   # api_compatability = false
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Add service certificate and key
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"


# # A ctrlX Data Layer server sent event input plugin
# [[inputs.ctrlx_datalayer]]
#    ## Hostname or IP address of the ctrlX CORE Data Layer server
#    ##  example: server = "localhost"        # Telegraf is running directly on the device
#    ##           server = "192.168.1.1"      # Connect to ctrlX CORE remote via IP
#    ##           server = "host.example.com" # Connect to ctrlX CORE remote via hostname
#    ##           server = "10.0.2.2:8443"    # Connect to ctrlX CORE Virtual from development environment
#    server = "localhost"
#
#    ## Authentication credentials
#    username = "boschrexroth"
#    password = "boschrexroth"
#
#    ## Use TLS but skip chain & host verification
#    # insecure_skip_verify = false
#
#    ## Timeout for HTTP requests. (default: "10s")
#    # timeout = "10s"
#
#
#    ## Create a ctrlX Data Layer subscription.
#    ## It is possible to define multiple subscriptions per host. Each subscription can have its own
#    ## sampling properties and a list of nodes to subscribe to.
#    ## All subscriptions share the same credentials.
#    [[inputs.ctrlx_datalayer.subscription]]
#       ## The name of the measurement. (default: "ctrlx")
#       measurement = "memory"
#
#       ## Configure the ctrlX Data Layer nodes which should be subscribed.
#       ## address - node address in ctrlX Data Layer (mandatory)
#       ## name    - field name to use in the output (optional, default: base name of address)
#       ## tags    - extra node tags to be added to the output metric (optional)
#       ## Note:
#       ## Use either the inline notation or the bracketed notation, not both.
#       ## The tags property is only supported in bracketed notation due to toml parser restrictions
#       ## Examples:
#       ## Inline notation
#       nodes=[
#          {name="available", address="framework/metrics/system/memavailable-mb"},
#          {name="used", address="framework/metrics/system/memused-mb"},
#       ]
#       ## Bracketed notation
#       # [[inputs.ctrlx_datalayer.subscription.nodes]]
#       #    name   ="available"
#       #    address="framework/metrics/system/memavailable-mb"
#       #    ## Define extra tags related to node to be added to the output metric (optional)
#       #    [inputs.ctrlx_datalayer.subscription.nodes.tags]
#       #       node_tag1="node_tag1"
#       #       node_tag2="node_tag2"
#       # [[inputs.ctrlx_datalayer.subscription.nodes]]
#       #    name   ="used"
#       #    address="framework/metrics/system/memused-mb"
#
#       ## The switch "output_json_string" enables output of the measurement as json.
#       ## That way it can be used in in a subsequent processor plugin, e.g. "Starlark Processor Plugin".
#       # output_json_string = false
#
#       ## Define extra tags related to subscription to be added to the output metric (optional)
#       # [inputs.ctrlx_datalayer.subscription.tags]
#       #    subscription_tag1 = "subscription_tag1"
#       #    subscription_tag2 = "subscription_tag2"
#
#       ## The interval in which messages shall be sent by the ctrlX Data Layer to this plugin. (default: 1s)
#       ## Higher values reduce load on network by queuing samples on server side and sending as a single TCP packet.
#       # publish_interval = "1s"
#
#       ## The interval a "keepalive" message is sent if no change of data occurs. (default: 60s)
#       ## Only used internally to detect broken network connections.
#       # keep_alive_interval = "60s"
#
#       ## The interval an "error" message is sent if an error was received from a node. (default: 10s)
#       ## Higher values reduce load on output target and network in case of errors by limiting frequency of error messages.
#       # error_interval = "10s"
#
#       ## The interval that defines the fastest rate at which the node values should be sampled and values captured. (default: 1s)
#       ## The sampling frequency should be adjusted to the dynamics of the signal to be sampled.
#       ## Higher sampling frequencies increases load on ctrlX Data Layer.
#       ## The sampling frequency can be higher, than the publish interval. Captured samples are put in a queue and sent in publish interval.
#       ## Note: The minimum sampling interval can be overruled by a global setting in the ctrlX Data Layer configuration ('datalayer/subscriptions/settings').
#       # sampling_interval = "1s"
#
#       ## The requested size of the node value queue. (default: 10)
#       ## Relevant if more values are captured than can be sent.
#       # queue_size = 10
#
#       ## The behaviour of the queue if it is full. (default: "DiscardOldest")
#       ## Possible values:
#       ## - "DiscardOldest"
#       ##   The oldest value gets deleted from the queue when it is full.
#       ## - "DiscardNewest"
#       ##   The newest value gets deleted from the queue when it is full.
#       # queue_behaviour = "DiscardOldest"
#
#       ## The filter when a new value will be sampled. (default: 0.0)
#       ## Calculation rule: If (abs(lastCapturedValue - newValue) > dead_band_value) capture(newValue).
#       # dead_band_value = 0.0
#
#       ## The conditions on which a sample should be captured and thus will be sent as a message. (default: "StatusValue")
#       ## Possible values:
#       ## - "Status"
#       ##   Capture the value only, when the state of the node changes from or to error state. Value changes are ignored.
#       ## - "StatusValue"
#       ##   Capture when the value changes or the node changes from or to error state.
#       ##   See also 'dead_band_value' for what is considered as a value change.
#       ## - "StatusValueTimestamp":
#       ##   Capture even if the value is the same, but the timestamp of the value is newer.
#       ##   Note: This might lead to high load on the network because every sample will be sent as a message
#       ##   even if the value of the node did not change.
#       # value_change = "StatusValue"
#


# # Ingests files in a directory and then moves them to a target directory.
# [[inputs.directory_monitor]]
#   ## The directory to monitor and read files from (including sub-directories if "recursive" is true).
#   directory = ""
#   #
#   ## The directory to move finished files to (maintaining directory hierarchy from source).
#   finished_directory = ""
#   #
#   ## Setting recursive to true will make the plugin recursively walk the directory and process all sub-directories.
#   # recursive = false
#   #
#   ## The directory to move files to upon file error.
#   ## If not provided, erroring files will stay in the monitored directory.
#   # error_directory = ""
#   #
#   ## The amount of time a file is allowed to sit in the directory before it is picked up.
#   ## This time can generally be low but if you choose to have a very large file written to the directory and it's potentially slow,
#   ## set this higher so that the plugin will wait until the file is fully copied to the directory.
#   # directory_duration_threshold = "50ms"
#   #
#   ## A list of the only file names to monitor, if necessary. Supports regex. If left blank, all files are ingested.
#   # files_to_monitor = ["^.*\\.csv"]
#   #
#   ## A list of files to ignore, if necessary. Supports regex.
#   # files_to_ignore = [".DS_Store"]
#   #
#   ## Maximum lines of the file to process that have not yet be written by the
#   ## output. For best throughput set to the size of the output's metric_buffer_limit.
#   ## Warning: setting this number higher than the output's metric_buffer_limit can cause dropped metrics.
#   # max_buffered_metrics = 10000
#   #
#   ## The maximum amount of file paths to queue up for processing at once, before waiting until files are processed to find more files.
#   ## Lowering this value will result in *slightly* less memory use, with a potential sacrifice in speed efficiency, if absolutely necessary.
#   # file_queue_size = 100000
#   #
#   ## Name a tag containing the name of the file the data was parsed from.  Leave empty
#   ## to disable. Cautious when file name variation is high, this can increase the cardinality
#   ## significantly. Read more about cardinality here:
#   ## https://docs.influxdata.com/influxdb/cloud/reference/glossary/#series-cardinality
#   # file_tag = ""
#   #
#   ## Specify if the file can be read completely at once or if it needs to be read line by line (default).
#   ## Possible values: "line-by-line", "at-once"
#   # parse_method = "line-by-line"
#   #
#   ## The dataformat to be read from the files.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Read metrics about docker containers
# [[inputs.docker]]
#   ## Docker Endpoint
#   ##   To use TCP, set endpoint = "tcp://[ip]:[port]"
#   ##   To use environment variables (ie, docker-machine), set endpoint = "ENV"
#   endpoint = "unix:///var/run/docker.sock"
#
#   ## Set to true to collect Swarm metrics(desired_replicas, running_replicas)
#   ## Note: configure this in one of the manager nodes in a Swarm cluster.
#   ## configuring in multiple Swarm managers results in duplication of metrics.
#   gather_services = false
#
#   ## Set the source tag for the metrics to the container ID hostname, eg first 12 chars
#   source_tag = false
#
#   ## Containers to include and exclude. Collect all if empty. Globs accepted.
#   container_name_include = []
#   container_name_exclude = []
#
#   ## Container states to include and exclude. Globs accepted.
#   ## When empty only containers in the "running" state will be captured.
#   ## example: container_state_include = ["created", "restarting", "running", "removing", "paused", "exited", "dead"]
#   ## example: container_state_exclude = ["created", "restarting", "running", "removing", "paused", "exited", "dead"]
#   # container_state_include = []
#   # container_state_exclude = []
#
#   ## Objects to include for disk usage query
#   ## Allowed values are "container", "image", "volume"
#   ## When empty disk usage is excluded
#   storage_objects = []
#
#   ## Timeout for docker list, info, and stats commands
#   timeout = "5s"
#
#   ## Podman compatibility settings (auto-enabled when Podman detected)
#   ## Cache TTL for accurate CPU percentage calculation (default: 60s)
#   ## Set higher than your collection interval for accurate measurements
#   ## Set to 0 to keep cache entries forever (not recommended for dynamic environments)
#   # podman_cache_ttl = "60s"
#
#   ## Specifies for which classes a per-device metric should be issued
#   ## Possible values are 'cpu' (cpu0, cpu1, ...), 'blkio' (8:0, 8:1, ...) and 'network' (eth0, eth1, ...)
#   # perdevice_include = ["cpu"]
#
#   ## Specifies for which classes a total metric should be issued. Total is an aggregated of the 'perdevice_include' values.
#   ## Possible values are 'cpu', 'blkio' and 'network'
#   ## Total 'cpu' is reported directly by Docker daemon, and 'network' and 'blkio' totals are aggregated by this plugin.
#   # total_include = ["cpu", "blkio", "network"]
#
#   ## docker labels to include and exclude as tags.  Globs accepted.
#   ## Note that an empty array for both will include all labels as tags
#   docker_label_include = []
#   docker_label_exclude = []
#
#   ## Which environment variables should we use as a tag
#   tag_env = ["JAVA_HOME", "HEAP_SIZE"]
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read logging output from the Docker engine
# [[inputs.docker_log]]
#   ## Docker Endpoint
#   ##   To use TCP, set endpoint = "tcp://[ip]:[port]"
#   ##   To use environment variables (ie, docker-machine), set endpoint = "ENV"
#   # endpoint = "unix:///var/run/docker.sock"
#
#   ## When true, container logs are read from the beginning; otherwise reading
#   ## begins at the end of the log. If state-persistence is enabled for Telegraf,
#   ## the reading continues at the last previously processed timestamp.
#   # from_beginning = false
#
#   ## Timeout for Docker API calls.
#   # timeout = "5s"
#
#   ## Containers to include and exclude. Globs accepted.
#   ## Note that an empty array for both will include all containers
#   # container_name_include = []
#   # container_name_exclude = []
#
#   ## Container states to include and exclude. Globs accepted.
#   ## When empty only containers in the "running" state will be captured.
#   # container_state_include = []
#   # container_state_exclude = []
#
#   ## docker labels to include and exclude as tags.  Globs accepted.
#   ## Note that an empty array for both will include all labels as tags
#   # docker_label_include = []
#   # docker_label_exclude = []
#
#   ## Set the source tag for the metrics to the container ID hostname, eg first 12 chars
#   source_tag = false
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Reads metrics from DPDK applications using v2 telemetry interface.
# # This plugin ONLY supports Linux
# [[inputs.dpdk]]
#   ## Path to DPDK telemetry socket. This shall point to v2 version of DPDK
#   ## telemetry interface.
#   # socket_path = "/var/run/dpdk/rte/dpdk_telemetry.v2"
#
#   ## Duration that defines how long the connected socket client will wait for
#   ## a response before terminating connection.
#   ## This includes both writing to and reading from socket. Since it's local
#   ## socket access to a fast packet processing application, the timeout should
#   ## be sufficient for most users.
#   ## Setting the value to 0 disables the timeout (not recommended)
#   # socket_access_timeout = "200ms"
#
#   ## Enables telemetry data collection for selected device types.
#   ## Adding "ethdev" enables collection of telemetry from DPDK NICs (stats, xstats, link_status, info).
#   ## Adding "rawdev" enables collection of telemetry from DPDK Raw Devices (xstats).
#   # device_types = ["ethdev"]
#
#   ## List of custom, application-specific telemetry commands to query
#   ## The list of available commands depend on the application deployed.
#   ## Applications can register their own commands via telemetry library API
#   ## https://doc.dpdk.org/guides/prog_guide/telemetry_lib.html#registering-commands
#   ## For L3 Forwarding with Power Management Sample Application this could be:
#   ##   additional_commands = ["/l3fwd-power/stats"]
#   # additional_commands = []
#
#   ## List of plugin options.
#   ## Supported options:
#   ##  - "in_memory" option enables reading for multiple sockets when a dpdk application is running with --in-memory option.
#   ##    When option is enabled plugin will try to find additional socket paths related to provided socket_path.
#   ##    Details: https://doc.dpdk.org/guides/howto/telemetry.html#connecting-to-different-dpdk-processes
#   # plugin_options = ["in_memory"]
#
#   ## Specifies plugin behavior regarding unreachable socket (which might not have been initialized yet).
#   ## Available choices:
#   ##   - error: Telegraf will return an error during the startup and gather phases if socket is unreachable
#   ##   - ignore: Telegraf will ignore error regarding unreachable socket on both startup and gather
#   # unreachable_socket_behavior = "error"
#
#   ## List of metadata fields which will be added to every metric produced by the plugin.
#   ## Supported options:
#   ##  - "pid" - exposes PID of DPDK process. Example: pid=2179660i
#   ##  - "version" - exposes version of DPDK. Example: version="DPDK 21.11.2"
#   # metadata_fields = ["pid", "version"]
#
#   ## Allows turning off collecting data for individual "ethdev" commands.
#   ## Remove "/ethdev/link_status" from list to gather link status metrics.
#   [inputs.dpdk.ethdev]
#     exclude_commands = ["/ethdev/link_status"]
#
#   ## When running multiple instances of the plugin it's recommended to add a
#   ## unique tag to each instance to identify metrics exposed by an instance
#   ## of DPDK application. This is useful when multiple DPDK apps run on a
#   ## single host.
#   ##  [inputs.dpdk.tags]
#   ##    dpdk_instance = "my-fwd-app"


# # Read stats from one or more Elasticsearch servers or clusters
# [[inputs.elasticsearch]]
#   ## specify a list of one or more Elasticsearch servers
#   ## you can add username and password to your url to use basic authentication:
#   ## servers = ["http://user:pass@localhost:9200"]
#   servers = ["http://localhost:9200"]
#
#   ## HTTP headers to send with each request
#   # headers = { "X-Custom-Header" = "Custom" }
#
#   ## When local is true (the default), the node will read only its own stats.
#   ## Set local to false when you want to read the node stats from all nodes
#   ## of the cluster.
#   local = true
#
#   ## Set cluster_health to true when you want to obtain cluster health stats
#   cluster_health = false
#
#   ## Adjust cluster_health_level when you want to obtain detailed health stats
#   ## The options are
#   ##  - indices (default)
#   ##  - cluster
#   # cluster_health_level = "indices"
#
#   ## Set cluster_stats to true when you want to obtain cluster stats.
#   cluster_stats = false
#
#   ## Only gather cluster_stats from the master node.
#   ## To work this require local = true
#   cluster_stats_only_from_master = true
#
#   ## Gather stats from the enrich API
#   # enrich_stats = false
#
#   ## Indices to collect; can be one or more indices names or _all
#   ## Use of wildcards is allowed. Use a wildcard at the end to retrieve index
#   ## names that end with a changing value, like a date.
#   indices_include = ["_all"]
#
#   ## One of "shards", "cluster", "indices"
#   ## Currently only "shards" is implemented
#   indices_level = "shards"
#
#   ## node_stats is a list of sub-stats that you want to have gathered.
#   ## Valid options are "indices", "os", "process", "jvm", "thread_pool",
#   ## "fs", "transport", "http", "breaker". Per default, all stats are gathered.
#   # node_stats = ["jvm", "http"]
#
#   ## HTTP Basic Authentication username and password.
#   # username = ""
#   # password = ""
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## If 'use_system_proxy' is set to true, Telegraf will check env vars such as
#   ## HTTP_PROXY, HTTPS_PROXY, and NO_PROXY (or their lowercase counterparts).
#   ## If 'use_system_proxy' is set to false (default) and 'http_proxy_url' is
#   ## provided, Telegraf will use the specified URL as HTTP proxy.
#   # use_system_proxy = false
#   # http_proxy_url = "http://localhost:8888"
#
#   ## Sets the number of most recent indices to return for indices that are
#   ## configured with a date-stamped suffix. Each 'indices_include' entry
#   ## ending with a wildcard (*) or glob matching pattern will group together
#   ## all indices that match it, and  sort them by the date or number after
#   ## the wildcard. Metrics then are gathered for only the
#   ## 'num_most_recent_indices' amount of most  recent indices.
#   # num_most_recent_indices = 0


# # Derive metrics from aggregating Elasticsearch query results
# [[inputs.elasticsearch_query]]
#   ## The full HTTP endpoint URL for your Elasticsearch instance
#   ## Multiple urls can be specified as part of the same cluster,
#   ## this means that only ONE of the urls will be written to each interval.
#   urls = [ "http://node1.es.example.com:9200" ] # required.
#
#   ## Elasticsearch client timeout, defaults to "5s".
#   # timeout = "5s"
#
#   ## Set to true to ask Elasticsearch a list of all cluster nodes,
#   ## thus it is not necessary to list all nodes in the urls config option
#   # enable_sniffer = false
#
#   ## Set the interval to check if the Elasticsearch nodes are available
#   ## This option is only used if enable_sniffer is also set (0s to disable it)
#   # health_check_interval = "10s"
#
#   ## HTTP basic authentication details (eg. when using x-pack)
#   # username = "telegraf"
#   # password = "mypassword"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## If 'use_system_proxy' is set to true, Telegraf will check env vars such as
#   ## HTTP_PROXY, HTTPS_PROXY, and NO_PROXY (or their lowercase counterparts).
#   ## If 'use_system_proxy' is set to false (default) and 'http_proxy_url' is
#   ## provided, Telegraf will use the specified URL as HTTP proxy.
#   # use_system_proxy = false
#   # http_proxy_url = "http://localhost:8888"
#
#   [[inputs.elasticsearch_query.aggregation]]
#     ## measurement name for the results of the aggregation query
#     measurement_name = "measurement"
#
#     ## Elasticsearch indexes to query (accept wildcards).
#     index = "index-*"
#
#     ## The date/time field in the Elasticsearch index (mandatory).
#     date_field = "@timestamp"
#
#     ## If the field used for the date/time field in Elasticsearch is also using
#     ## a custom date/time format it may be required to provide the format to
#     ## correctly parse the field.
#     ##
#     ## If using one of the built in elasticsearch formats this is not required.
#     # date_field_custom_format = ""
#
#     ## Time window to query (eg. "1m" to query documents from last minute).
#     ## Normally should be set to same as collection interval
#     query_period = "1m"
#
#     ## Lucene query to filter results
#     # filter_query = "*"
#
#     ## Fields to aggregate values (must be numeric fields)
#     # metric_fields = ["metric"]
#
#     ## Aggregation function to use on the metric fields
#     ## Must be set if 'metric_fields' is set
#     ## Valid values are: avg, sum, min, max, sum
#     # metric_function = "avg"
#
#     ## Fields to be used as tags
#     ## Must be text, non-analyzed fields. Metric aggregations are performed
#     ## per tag
#     # tags = ["field.keyword", "field2.keyword"]
#
#     ## Set to true to not ignore documents when the tag(s) above are missing
#     # include_missing_tag = false
#
#     ## String value of the tag when the tag does not exist
#     ## Used when include_missing_tag is true
#     # missing_tag_value = "null"


# # Azure Event Hubs service input plugin
# [[inputs.eventhub_consumer]]
#   ## The default behavior is to create a new Event Hub client from environment variables.
#   ## This requires one of the following sets of environment variables to be set:
#   ##
#   ## 1) Expected Environment Variables:
#   ##    - "EVENTHUB_CONNECTION_STRING"
#   ##
#   ## 2) Expected Environment Variables:
#   ##    - "EVENTHUB_NAMESPACE"
#   ##    - "EVENTHUB_NAME"
#   ##    - "EVENTHUB_KEY_NAME"
#   ##    - "EVENTHUB_KEY_VALUE"
#
#   ## 3) Expected Environment Variables:
#   ##    - "EVENTHUB_NAMESPACE"
#   ##    - "EVENTHUB_NAME"
#   ##    - "AZURE_TENANT_ID"
#   ##    - "AZURE_CLIENT_ID"
#   ##    - "AZURE_CLIENT_SECRET"
#
#   ## Uncommenting the option below will create an Event Hub client based solely on the connection string.
#   ## This can either be the associated environment variable or hard coded directly.
#   ## If this option is uncommented, environment variables will be ignored.
#   ## Connection string should contain EventHubName (EntityPath)
#   # connection_string = ""
#
#   ## Set persistence directory to a valid folder to use a file persister instead of an in-memory persister
#   # persistence_dir = ""
#
#   ## Change the default consumer group
#   # consumer_group = ""
#
#   ## By default the event hub receives all messages present on the broker, alternative modes can be set below.
#   ## The timestamp should be in https://github.com/toml-lang/toml#offset-date-time format (RFC 3339).
#   ## The 3 options below only apply if no valid persister is read from memory or file (e.g. first run).
#   # from_timestamp =
#   # latest = true
#
#   ## Set a custom prefetch count for the receiver(s)
#   # prefetch_count = 1000
#
#   ## Add an epoch to the receiver(s)
#   # epoch = 0
#
#   ## Change to set a custom user agent, "telegraf" is used by default
#   # user_agent = "telegraf"
#
#   ## To consume from a specific partition, set the partition_ids option.
#   ## An empty array will result in receiving from all partitions.
#   # partition_ids = ["0","1"]
#
#   ## Max undelivered messages
#   ## This plugin uses tracking metrics, which ensure messages are read to
#   ## outputs before acknowledging them to the original broker to ensure data
#   ## is not lost. This option sets the maximum messages to read from the
#   ## broker that have not been written by an output.
#   ##
#   ## This value needs to be picked with awareness of the agent's
#   ## metric_batch_size value as well. Setting max undelivered messages too high
#   ## can result in a constant stream of data batches to the output. While
#   ## setting it too low may never flush the broker's messages.
#   # max_undelivered_messages = 1000
#
#   ## Set either option below to true to use a system property as timestamp.
#   ## You have the choice between EnqueuedTime and IoTHubEnqueuedTime.
#   ## It is recommended to use this setting when the data itself has no timestamp.
#   # enqueued_time_as_ts = true
#   # iot_hub_enqueued_time_as_ts = true
#
#   ## Tags or fields to create from keys present in the application property bag.
#   ## These could for example be set by message enrichments in Azure IoT Hub.
#   # application_property_tags = []
#   # application_property_fields = []
#
#   ## Tag or field name to use for metadata
#   ## By default all metadata is disabled
#   # sequence_number_field = "SequenceNumber"
#   # enqueued_time_field = "EnqueuedTime"
#   # offset_field = "Offset"
#   # partition_id_tag = "PartitionID"
#   # partition_key_tag = "PartitionKey"
#   # iot_hub_device_connection_id_tag = "IoTHubDeviceConnectionID"
#   # iot_hub_auth_generation_id_tag = "IoTHubAuthGenerationID"
#   # iot_hub_connection_auth_method_tag = "IoTHubConnectionAuthMethod"
#   # iot_hub_connection_module_id_tag = "IoTHubConnectionModuleID"
#   # iot_hub_enqueued_time_field = "IoTHubEnqueuedTime"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Run executable as long-running input plugin
# [[inputs.execd]]
#   ## One program to run as daemon.
#   ## NOTE: process and each argument should each be their own string
#   command = ["telegraf-smartctl", "-d", "/dev/sda"]
#
#   ## Environment variables
#   ## Array of "key=value" pairs to pass as environment variables
#   ## e.g. "KEY=value", "USERNAME=John Doe",
#   ## "LD_LIBRARY_PATH=/opt/custom/lib64:/usr/local/libs"
#   # environment = []
#
#   ## Define how the process is signaled on each collection interval.
#   ## Valid values are:
#   ##   "none"    : Do not signal anything. (Recommended for service inputs)
#   ##               The process must output metrics by itself.
#   ##   "STDIN"   : Send a newline on STDIN. (Recommended for gather inputs)
#   ##   "SIGHUP"  : Send a HUP signal. Not available on Windows. (not recommended)
#   ##   "SIGUSR1" : Send a USR1 signal. Not available on Windows.
#   ##   "SIGUSR2" : Send a USR2 signal. Not available on Windows.
#   # signal = "none"
#
#   ## Delay before the process is restarted after an unexpected termination
#   # restart_delay = "10s"
#
#   ## Buffer size used to read from the command output stream
#   ## Optional parameter. Default is 64 Kib, minimum is 16 bytes
#   # buffer_size = "64Kib"
#
#   ## Disable automatic restart of the program and stop if the program exits
#   ## with an error (non-zero error code)
#   # stop_on_error = false
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   # data_format = "influx"


# # AWS Data Firehose listener
# [[inputs.firehose]]
#   ## Address and port to host HTTP listener on
#   service_address = ":8080"
#
#   ## Paths to listen to.
#   # paths = ["/telegraf"]
#
#   ## maximum duration before timing out read of the request
#   # read_timeout = "5s"
#   ## maximum duration before timing out write of the response
#   # write_timeout = "5s"
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Add service certificate and key
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Minimal TLS version accepted by the server
#   # tls_min_version = "TLS12"
#
#   ## Optional access key to accept for authentication.
#   ## AWS Data Firehose uses "x-amz-firehose-access-key" header to set the access key.
#   ## If no access_key is provided (default), authentication is completely disabled and
#   ## this plugin will accept all request ignoring the provided access-key in the request!
#   # access_key = "foobar"
#
#   ## Optional setting to add parameters as tags
#   ## If the http header "x-amz-firehose-common-attributes" is not present on the
#   ## request, no corresponding tag will be added. The header value should be a
#   ## json and should follow the schema as describe in the official documentation:
#   ## https://docs.aws.amazon.com/firehose/latest/dev/httpdeliveryrequestresponse.html#requestformat
#   # parameter_tags = ["env"]
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   # data_format = "influx"


# # gNMI telemetry input plugin
# [[inputs.gnmi]]
#   ## Address and port of the gNMI GRPC server
#   addresses = ["10.49.234.114:57777"]
#
#   ## define credentials
#   username = "cisco"
#   password = "cisco"
#
#   ## gNMI encoding requested (one of: "proto", "json", "json_ietf", "bytes")
#   # encoding = "proto"
#
#   ## redial in case of failures after
#   # redial = "10s"
#
#   ## gRPC Keepalive settings
#   ## See https://pkg.go.dev/google.golang.org/grpc/keepalive
#   ## The client will ping the server to see if the transport is still alive if it has
#   ## not see any activity for the given time.
#   ## If not set, none of the keep-alive setting (including those below) will be applied.
#   ## If set and set below 10 seconds, the gRPC library will apply a minimum value of 10s will be used instead.
#   # keepalive_time = ""
#
#   ## Timeout for seeing any activity after the keep-alive probe was
#   ## sent. If no activity is seen the connection is closed.
#   # keepalive_timeout = ""
#
#   ## gRPC Maximum Message Size
#   # max_msg_size = "4MB"
#
#   ## Subtree depth for depth extension (disables if < 1)
#   ## see https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-depth.md
#   # depth = 0
#
#   ## Enable to get the canonical path as field-name
#   # canonical_field_names = false
#
#   ## Remove leading slashes and dots in field-name
#   # trim_field_names = false
#
#   ## Only receive updates for the state, also suppresses receiving the initial state
#   # updates_only = false
#
#   ## Enforces the namespace of the first element as origin for aliases and
#   ## response paths, required for backward compatibility.
#   ## NOTE: Set to 'false' if possible but be aware that this might change the path tag!
#   # enforce_first_namespace_as_origin = true
#
#   ## Guess the path-tag if an update does not contain a prefix-path
#   ## Supported values are
#   ##   none         -- do not add a 'path' tag
#   ##   common path  -- use the common path elements of all fields in an update
#   ##   subscription -- use the subscription path
#   # path_guessing_strategy = "none"
#
#   ## Prefix tags from path keys with the path element
#   # prefix_tag_key_with_path = false
#
#   ## Optional client-side TLS to authenticate the device
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable =
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Password for the key file if it is encrypted
#   # tls_key_pwd = ""
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Minimal TLS version to accept by the client
#   # tls_min_version = "TLS12"
#   ## List of ciphers to accept, by default all secure ciphers will be accepted
#   ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
#   ## Use "all", "secure" and "insecure" to add all support ciphers, secure
#   ## suites or insecure suites respectively.
#   # tls_cipher_suites = ["secure"]
#   ## Renegotiation method, "never", "once" or "freely"
#   # tls_renegotiation_method = "never"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## gNMI subscription prefix (optional, can usually be left empty)
#   ## See: https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-specification.md#222-paths
#   # origin = ""
#   # prefix = ""
#   # target = ""
#
#   ## Vendor specific options
#   ## This defines what vendor specific options to load.
#   ## * Juniper Header Extension (juniper_header): some sensors are directly managed by
#   ##   Linecard, which adds the Juniper GNMI Header Extension. Enabling this
#   ##   allows the decoding of the Extension header if present. Currently this knob
#   ##   adds component, component_id & sub_component_id as additional tags
#   # vendor_specific = []
#
#   ## YANG model paths for decoding IETF JSON payloads
#   ## Model files are loaded recursively from the given directories. Disabled if
#   ## no models are specified.
#   # yang_model_paths = []
#
#   ## Define additional aliases to map encoding paths to measurement names
#   # [inputs.gnmi.aliases]
#   #   ifcounters = "openconfig:/interfaces/interface/state/counters"
#
#   [[inputs.gnmi.subscription]]
#     ## Name of the measurement that will be emitted
#     name = "ifcounters"
#
#     ## Origin and path of the subscription
#     ## See: https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-specification.md#222-paths
#     ##
#     ## origin usually refers to a (YANG) data model implemented by the device
#     ## and path to a specific substructure inside it that should be subscribed
#     ## to (similar to an XPath). YANG models can be found e.g. here:
#     ## https://github.com/YangModels/yang/tree/master/vendor/cisco/xr
#     origin = "openconfig-interfaces"
#     path = "/interfaces/interface/state/counters"
#
#     ## Subscription mode ("target_defined", "sample", "on_change") and interval
#     subscription_mode = "sample"
#     sample_interval = "10s"
#
#     ## Suppress redundant transmissions when measured values are unchanged
#     # suppress_redundant = false
#
#     ## If suppression is enabled, send updates at least every X seconds anyway
#     # heartbeat_interval = "60s"
#
#   ## Tag subscriptions are applied as tags to other subscriptions.
#   # [[inputs.gnmi.tag_subscription]]
#   #  ## When applying this value as a tag to other metrics, use this tag name
#   #  name = "descr"
#   #
#   #  ## All other subscription fields are as normal
#   #  origin = "openconfig-interfaces"
#   #  path = "/interfaces/interface/state"
#   #  subscription_mode = "on_change"
#   #
#   #  ## Match strategy to use for the tag.
#   #  ## Tags are only applied for metrics of the same address. The following
#   #  ## settings are valid:
#   #  ##   unconditional -- always match
#   #  ##   name          -- match by the "name" key
#   #  ##                    This resembles the previous 'tag-only' behavior.
#   #  ##   elements      -- match by the keys in the path filtered by the path
#   #  ##                    parts specified `elements` below
#   #  ## By default, 'elements' is used if the 'elements' option is provided,
#   #  ## otherwise match by 'name'.
#   #  # match = ""
#   #
#   #  ## For the 'elements' match strategy, at least one path-element name must
#   #  ## be supplied containing at least one key to match on. Multiple path
#   #  ## elements can be specified in any order. All given keys must be equal
#   #  ## for a match.
#   #  # elements = ["description", "interface"]


# # Read formatted metrics from one or more HTTP endpoints
# [[inputs.http]]
#   ## One or more URLs from which to read formatted metrics.
#   urls = [
#     "http://localhost/metrics",
#     "http+unix:///run/user/420/podman/podman.sock:/d/v4.0.0/libpod/pods/json"
#   ]
#
#   ## HTTP method
#   # method = "GET"
#
#   ## Optional HTTP headers
#   # headers = {"X-Special-Header" = "Special-Value"}
#
#   ## HTTP entity-body to send with POST/PUT requests.
#   # body = ""
#
#   ## HTTP Content-Encoding for write request body, can be set to "gzip" to
#   ## compress body or "identity" to apply no encoding.
#   # content_encoding = "identity"
#
#   ## Optional Bearer token settings to use for the API calls.
#   ## Use either the token itself or the token file if you need a token.
#   # token = "eyJhbGc...Qssw5c"
#   # token_file = "/path/to/file"
#
#   ## Optional HTTP Basic Auth Credentials
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Amount of time allowed to complete the HTTP request
#   # timeout = "5s"
#
#   ## HTTP connection settings
#   # idle_conn_timeout = "0s"
#   # max_idle_conn = 0
#   # max_idle_conn_per_host = 0
#   # response_timeout = "0s"
#
#   ## Optional proxy settings
#   # use_system_proxy = false
#   # http_proxy_url = ""
#
#   ## Optional TLS settings
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable =
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Password for the key file if it is encrypted
#   # tls_key_pwd = ""
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Minimal TLS version to accept by the client
#   # tls_min_version = "TLS12"
#   ## List of ciphers to accept, by default all secure ciphers will be accepted
#   ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
#   ## Use "all", "secure" and "insecure" to add all support ciphers, secure
#   ## suites or insecure suites respectively.
#   # tls_cipher_suites = ["secure"]
#   ## Renegotiation method, "never", "once" or "freely"
#   # tls_renegotiation_method = "never"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## OAuth2 Client Credentials. The options 'client_id', 'client_secret', and 'token_url' are required to use OAuth2.
#   # client_id = "clientid"
#   # client_secret = "secret"
#   # token_url = "https://indentityprovider/oauth2/v1/token"
#   # audience = ""
#   # scopes = ["urn:opc:idm:__myscopes__"]
#
#   ## Optional Cookie authentication
#   # cookie_auth_url = "https://localhost/authMe"
#   # cookie_auth_method = "POST"
#   # cookie_auth_username = "username"
#   # cookie_auth_password = "pa$$word"
#   # cookie_auth_headers = { Content-Type = "application/json", X-MY-HEADER = "hello" }
#   # cookie_auth_body = '{"username": "user", "password": "pa$$word", "authenticate": "me"}'
#   ## cookie_auth_renewal not set or set to "0" will auth once and never renew the cookie
#   # cookie_auth_renewal = "0s"
#
#   ## List of success status codes
#   # success_status_codes = [200]
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   # data_format = "influx"
#


# # Generic HTTP write listener
# [[inputs.http_listener_v2]]
#   ## Address to host HTTP listener on
#   ## can be prefixed by protocol tcp, or unix if not provided defaults to tcp
#   ## if unix network type provided it should be followed by absolute path for unix socket
#   service_address = "tcp://:8080"
#   ## service_address = "tcp://:8443"
#   ## service_address = "unix:///tmp/telegraf.sock"
#
#   ## Permission for unix sockets (only available for unix sockets)
#   ## This setting may not be respected by some platforms. To safely restrict
#   ## permissions it is recommended to place the socket into a previously
#   ## created directory with the desired permissions.
#   ##   ex: socket_mode = "777"
#   # socket_mode = ""
#
#   ## Paths to listen to.
#   # paths = ["/telegraf"]
#
#   ## Save path as http_listener_v2_path tag if set to true
#   # path_tag = false
#
#   ## HTTP methods to accept.
#   # methods = ["POST", "PUT"]
#
#   ## Optional HTTP headers
#   ## These headers are applied to the server that is listening for HTTP
#   ## requests and included in responses.
#   # http_headers = {"HTTP_HEADER" = "TAG_NAME"}
#
#   ## HTTP Return Success Code
#   ## This is the HTTP code that will be returned on success
#   # http_success_code = 204
#
#   ## maximum duration before timing out read of the request
#   # read_timeout = "10s"
#   ## maximum duration before timing out write of the response
#   # write_timeout = "10s"
#
#   ## Maximum allowed http request body size in bytes.
#   ## 0 means to use the default of 524,288,000 bytes (500 mebibytes)
#   # max_body_size = "500MB"
#
#   ## Part of the request to consume.  Available options are "body" and
#   ## "query".
#   # data_source = "body"
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Add service certificate and key
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Minimal TLS version accepted by the server
#   # tls_min_version = "TLS12"
#
#   ## Optional username and password to accept for HTTP basic authentication.
#   ## You probably want to make sure you have TLS configured above for this.
#   # basic_username = "foobar"
#   # basic_password = "barfoo"
#
#   ## Optional setting to map http headers into tags
#   ## If the http header is not present on the request, no corresponding tag will be added
#   ## If multiple instances of the http header are present, only the first value will be used
#   # http_header_tags = {"HTTP_HEADER" = "TAG_NAME"}
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Accept metrics over InfluxDB 1.x HTTP API
# [[inputs.influxdb_listener]]
#   ## Address and port to host HTTP listener on
#   service_address = ":8186"
#
#   ## maximum duration before timing out read of the request
#   read_timeout = "10s"
#   ## maximum duration before timing out write of the response
#   write_timeout = "10s"
#
#   ## Maximum allowed HTTP request body size in bytes.
#   ## 0 means to use the default of 32MiB.
#   max_body_size = 0
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Add service certificate and key
#   tls_cert = "/etc/telegraf/cert.pem"
#   tls_key = "/etc/telegraf/key.pem"
#
#   ## Optional tag name used to store the database name.
#   ## If the write has a database in the query string then it will be kept in this tag name.
#   ## This tag can be used in downstream outputs.
#   ## The default value of nothing means it will be off and the database will not be recorded.
#   ## If you have a tag that is the same as the one specified below, and supply a database,
#   ## the tag will be overwritten with the database supplied.
#   # database_tag = ""
#
#   ## If set the retention policy specified in the write query will be added as
#   ## the value of this tag name.
#   # retention_policy_tag = ""
#
#   ## Optional username and password to accept for HTTP basic authentication
#   ## or authentication token.
#   ## You probably want to make sure you have TLS configured above for this.
#   ## Use these options for the authentication token in the form
#   ##   Authentication: Token <basic_username>:<basic_password>
#   # basic_username = "foobar"
#   # basic_password = "barfoo"
#
#   ## Optional JWT token authentication for HTTP requests
#   ## Please see the documentation at
#   ##   https://docs.influxdata.com/influxdb/v1.8/administration/authentication_and_authorization/#authenticate-using-jwt-tokens
#   ## for further details.
#   ## Please note: Token authentication and basic authentication cannot be used
#   ##              at the same time.
#   # token_shared_secret = ""
#   # token_username = ""
#
#   ## Influx line protocol parser
#   ## 'internal' is the default. 'upstream' is a newer parser that is faster
#   ## and more memory efficient.
#   # parser_type = "internal"


# # Accept metrics over InfluxDB 2.x HTTP API
# [[inputs.influxdb_v2_listener]]
#   ## Address and port to host InfluxDB listener on
#   ## (Double check the port. Could be 9999 if using OSS Beta)
#   service_address = ":8086"
#
#   ## Maximum undelivered metrics before rate limit kicks in.
#   ## When the rate limit kicks in, HTTP status 429 will be returned.
#   ## 0 disables rate limiting
#   # max_undelivered_metrics = 0
#
#   ## Maximum duration before timing out read of the request
#   # read_timeout = "10s"
#   ## Maximum duration before timing out write of the response
#   # write_timeout = "10s"
#
#   ## Maximum allowed HTTP request body size in bytes.
#   ## 0 means to use the default of 32MiB.
#   # max_body_size = "32MiB"
#
#   ## Optional tag to determine the bucket.
#   ## If the write has a bucket in the query string then it will be kept in this tag name.
#   ## This tag can be used in downstream outputs.
#   ## The default value of nothing means it will be off and the database will not be recorded.
#   # bucket_tag = ""
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Add service certificate and key
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Optional token to accept for HTTP authentication.
#   ## You probably want to make sure you have TLS configured above for this.
#   # token = "some-long-shared-secret-token"
#
#   ## Influx line protocol parser
#   ## 'internal' is the default. 'upstream' is a newer parser that is faster
#   ## and more memory efficient.
#   # parser_type = "internal"
#
#   ## Use new internal metrics. When true, it adds tag for alias if set.
#   # use_internal_statistics = false


# # Intel Performance Monitoring Unit plugin exposes Intel PMU metrics available through Linux Perf subsystem
# # This plugin ONLY supports Linux on amd64
# [[inputs.intel_pmu]]
#   ## List of filesystem locations of JSON files that contain PMU event definitions.
#   event_definitions = ["/var/cache/pmu/GenuineIntel-6-55-4-core.json", "/var/cache/pmu/GenuineIntel-6-55-4-uncore.json"]
#
#   ## List of core events measurement entities. There can be more than one core_events sections.
#   [[inputs.intel_pmu.core_events]]
#     ## List of events to be counted. Event names shall match names from event_definitions files.
#     ## Single entry can contain name of the event (case insensitive) augmented with config options and perf modifiers.
#     ## If absent, all core events from provided event_definitions are counted skipping unresolvable ones.
#     events = ["INST_RETIRED.ANY", "CPU_CLK_UNHALTED.THREAD_ANY:config1=0x4043200000000k"]
#
#     ## Limits the counting of events to core numbers specified.
#     ## If absent, events are counted on all cores.
#     ## Single "0", multiple "0,1,2" and range "0-2" notation is supported for each array element.
#     ##   example: cores = ["0,2", "4", "12-16"]
#     cores = ["0"]
#
#     ## Indicator that plugin shall attempt to run core_events.events as a single perf group.
#     ## If absent or set to false, each event is counted individually. Defaults to false.
#     ## This limits the number of events that can be measured to a maximum of available hardware counters per core.
#     ## Could vary depending on type of event, use of fixed counters.
#     # perf_group = false
#
#     ## Optionally set a custom tag value that will be added to every measurement within this events group.
#     ## Can be applied to any group of events, unrelated to perf_group setting.
#     # events_tag = ""
#
#   ## List of uncore event measurement entities. There can be more than one uncore_events sections.
#   [[inputs.intel_pmu.uncore_events]]
#     ## List of events to be counted. Event names shall match names from event_definitions files.
#     ## Single entry can contain name of the event (case insensitive) augmented with config options and perf modifiers.
#     ## If absent, all uncore events from provided event_definitions are counted skipping unresolvable ones.
#     events = ["UNC_CHA_CLOCKTICKS", "UNC_CHA_TOR_OCCUPANCY.IA_MISS"]
#
#     ## Limits the counting of events to specified sockets.
#     ## If absent, events are counted on all sockets.
#     ## Single "0", multiple "0,1" and range "0-1" notation is supported for each array element.
#     ##   example: sockets = ["0-2"]
#     sockets = ["0"]
#
#     ## Indicator that plugin shall provide an aggregated value for multiple units of same type distributed in an uncore.
#     ## If absent or set to false, events for each unit are exposed as separate metric. Defaults to false.
#     # aggregate_uncore_units = false
#
#     ## Optionally set a custom tag value that will be added to every measurement within this events group.
#     # events_tag = ""


# # Intel PowerStat plugin enables monitoring of platform metrics (power, TDP)
# # and per-CPU metrics like temperature, power and utilization. Please see the
# # plugin readme for details on software and hardware compatibility.
# # This plugin ONLY supports Linux.
# [[inputs.intel_powerstat]]
#   ## The user can choose which package metrics are monitored by the plugin with
#   ## the package_metrics setting:
#   ## - The default, will collect "current_power_consumption",
#   ##   "current_dram_power_consumption" and "thermal_design_power".
#   ## - Leaving this setting empty means no package metrics will be collected.
#   ## - Finally, a user can specify individual metrics to capture from the
#   ##   supported options list.
#   ## Supported options:
#   ##   "current_power_consumption", "current_dram_power_consumption",
#   ##   "thermal_design_power", "max_turbo_frequency", "uncore_frequency",
#   ##   "cpu_base_frequency"
#   # package_metrics = ["current_power_consumption", "current_dram_power_consumption", "thermal_design_power"]
#
#   ## The user can choose which per-CPU metrics are monitored by the plugin in
#   ## cpu_metrics array.
#   ## Empty or missing array means no per-CPU specific metrics will be collected
#   ## by the plugin.
#   ## Supported options:
#   ##   "cpu_frequency", "cpu_c0_state_residency", "cpu_c1_state_residency",
#   ##   "cpu_c3_state_residency", "cpu_c6_state_residency", "cpu_c7_state_residency",
#   ##   "cpu_temperature", "cpu_busy_frequency", "cpu_c0_substate_c01",
#   ##   "cpu_c0_substate_c02", "cpu_c0_substate_c0_wait"
#   # cpu_metrics = []
#
#   ## CPUs metrics to include from those configured in cpu_metrics array
#   ## Can't be combined with excluded_cpus. Empty means all CPUs are gathered.
#   ## e.g. ["0-3", "4,5,6"] or ["1-3,4"]
#   # included_cpus = []
#
#   ## CPUs metrics to exclude from those configured in cpu_metrics array
#   ## Can't be combined with included_cpus. Empty means all CPUs are gathered.
#   ## e.g. ["0-3", "4,5,6"] or ["1-3,4"]
#   # excluded_cpus = []
#
#   ## Filesystem location of JSON file that contains PMU event definitions.
#   ## Mandatory only for perf-related metrics (cpu_c0_substate_c01, cpu_c0_substate_c02, cpu_c0_substate_c0_wait).
#   # event_definitions = ""
#
#   ## The user can set the timeout duration for MSR reading.
#   ## Enabling this timeout can be useful in situations where, on heavily loaded systems,
#   ## the code waits too long for a kernel response to MSR read requests.
#   ## 0 disables the timeout (default).
#   # msr_read_timeout = "0ms"


# # Read Intel RDT metrics
# # This plugin ONLY supports non-Windows
# [[inputs.intel_rdt]]
#   ## Optionally set sampling interval to Nx100ms.
#   ## This value is propagated to pqos tool. Interval format is defined by pqos itself.
#   ## If not provided or provided 0, will be set to 10 = 10x100ms = 1s.
#   # sampling_interval = "10"
#
#   ## Optionally specify the path to pqos executable.
#   ## If not provided, auto discovery will be performed.
#   # pqos_path = "/usr/local/bin/pqos"
#
#   ## Optionally specify if IPC and LLC_Misses metrics shouldn't be propagated.
#   ## If not provided, default value is false.
#   # shortened_metrics = false
#
#   ## Specify the list of groups of CPU core(s) to be provided as pqos input.
#   ## Mandatory if processes aren't set and forbidden if processes are specified.
#   ## e.g. ["0-3", "4,5,6"] or ["1-3,4"]
#   # cores = ["0-3"]
#
#   ## Specify the list of processes for which Metrics will be collected.
#   ## Mandatory if cores aren't set and forbidden if cores are specified.
#   ## e.g. ["qemu", "pmd"]
#   # processes = ["process"]
#
#   ## Specify if the pqos process should be called with sudo.
#   ## Mandatory if the telegraf process does not run as root.
#   # use_sudo = false


# # Subscribe and receive OpenConfig Telemetry data using JTI
# [[inputs.jti_openconfig_telemetry]]
#   ## List of device addresses to collect telemetry from
#   servers = ["localhost:1883"]
#
#   ## Authentication details. Username and password are must if device expects
#   ## authentication. Client ID must be unique when connecting from multiple instances
#   ## of telegraf to the same device
#   username = "user"
#   password = "pass"
#   client_id = "telegraf"
#
#   ## Frequency to get data
#   sample_frequency = "1000ms"
#
#   ## Sensors to subscribe for
#   ## A identifier for each sensor can be provided in path by separating with space
#   ## Else sensor path will be used as identifier
#   ## When identifier is used, we can provide a list of space separated sensors.
#   ## A single subscription will be created with all these sensors and data will
#   ## be saved to measurement with this identifier name
#   sensors = [
#    "/interfaces/",
#    "collection /components/ /lldp",
#   ]
#
#   ## We allow specifying sensor group level reporting rate. To do this, specify the
#   ## reporting rate in Duration at the beginning of sensor paths / collection
#   ## name. For entries without reporting rate, we use configured sample frequency
#   sensors = [
#    "1000ms customReporting /interfaces /lldp",
#    "2000ms collection /components",
#    "/interfaces",
#   ]
#
#   ## Timestamp Source
#   ## Set to 'collection' for time of collection, and 'data' for using the time
#   ## provided by the _timestamp field.
#   # timestamp_source = "collection"
#
#   ## Optional TLS Config
#   # enable_tls = false
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Minimal TLS version to accept by the client
#   # tls_min_version = "TLS12"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Delay between retry attempts of failed RPC calls or streams. Defaults to 1000ms.
#   ## Failed streams/calls will not be retried if 0 is provided
#   retry_delay = "1000ms"
#
#   ## Period for sending keep-alive packets on idle connections
#   ## This is helpful to identify broken connections to the server
#   # keep_alive_period = "10s"
#
#   ## To treat all string values as tags, set this to true
#   str_as_tags = false


# # Read metrics from Kafka topics
# [[inputs.kafka_consumer]]
#   ## Kafka brokers.
#   brokers = ["localhost:9092"]
#
#   ## Set the minimal supported Kafka version. Should be a string contains
#   ## 4 digits in case if it is 0 version and 3 digits for versions starting
#   ## from 1.0.0 separated by dot. This setting enables the use of new
#   ## Kafka features and APIs. Must be 0.10.2.0(used as default) or greater.
#   ## Please, check the list of supported versions at
#   ## https://pkg.go.dev/github.com/Shopify/sarama#SupportedVersions
#   ##   ex: kafka_version = "2.6.0"
#   ##   ex: kafka_version = "0.10.2.0"
#   # kafka_version = "0.10.2.0"
#
#   ## Topics to consume.
#   topics = ["telegraf"]
#
#   ## Topic regular expressions to consume. Matches will be added to topics.
#   ## Example: topic_regexps = [ "*test", "metric[0-9A-z]*" ]
#   # topic_regexps = [ ]
#
#   ## When set this tag will be added to all metrics with the topic as the value.
#   # topic_tag = ""
#
#   ## The list of Kafka message headers that should be pass as metric tags
#   ## works only for Kafka version 0.11+, on lower versions the message headers
#   ## are not available
#   # msg_headers_as_tags = []
#
#   ## The name of kafka message header which value should override the metric name.
#   ## In case when the same header specified in current option and in msg_headers_as_tags
#   ## option, it will be excluded from the msg_headers_as_tags list.
#   # msg_header_as_metric_name = ""
#
#   ## Set metric(s) timestamp using the given source.
#   ## Available options are:
#   ##   metric -- do not modify the metric timestamp
#   ##   inner  -- use the inner message timestamp (Kafka v0.10+)
#   ##   outer  -- use the outer (compressed) block timestamp (Kafka v0.10+)
#   # timestamp_source = "metric"
#
#   ## Optional Client id
#   # client_id = "Telegraf"
#
#   ## Optional TLS Config
#   # enable_tls = false
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Period between keep alive probes.
#   ## Defaults to the OS configuration if not specified or zero.
#   # keep_alive_period = "15s"
#
#   ## SASL authentication credentials. These settings should typically be used
#   ## with TLS encryption enabled
#   # sasl_username = ""
#   # sasl_password = ""
#
#   ## Optional SASL, one of:
#   ##   OAUTHBEARER, PLAIN, SCRAM-SHA-256, SCRAM-SHA-512, GSSAPI, AWS-MSK-IAM
#   # sasl_mechanism = ""
#
#   ## used if sasl_mechanism is GSSAPI
#   # sasl_gssapi_service_name = ""
#   # ## One of: KRB5_USER_AUTH and KRB5_KEYTAB_AUTH
#   # sasl_gssapi_auth_type = "KRB5_USER_AUTH"
#   # sasl_gssapi_kerberos_config_path = "/"
#   # sasl_gssapi_realm = "realm"
#   # sasl_gssapi_key_tab_path = ""
#   # sasl_gssapi_disable_pafxfast = false
#
#   ## used if sasl_mechanism is OAUTHBEARER
#   # sasl_access_token = ""
#
#   ## used if sasl_mechanism is AWS-MSK-IAM
#   # sasl_aws_msk_iam_region = ""
#   ## for profile based auth
#   ## sasl_aws_msk_iam_profile = ""
#   ## for role based auth
#   ## sasl_aws_msk_iam_role = ""
#   ## sasl_aws_msk_iam_session = ""
#
#   ## Arbitrary key value string pairs to pass as a TOML table. For example:
#   ## {logicalCluster = "cluster-042", poolId = "pool-027"}
#   # sasl_extensions = {}
#
#   ## SASL protocol version. When connecting to Azure EventHub set to 0.
#   # sasl_version = 1
#
#   # Disable Kafka metadata full fetch
#   # metadata_full = false
#
#   ## Name of the consumer group.
#   # consumer_group = "telegraf_metrics_consumers"
#
#   ## Compression codec represents the various compression codecs recognized by
#   ## Kafka in messages.
#   ##  0 : None
#   ##  1 : Gzip
#   ##  2 : Snappy
#   ##  3 : LZ4
#   ##  4 : ZSTD
#   # compression_codec = 0
#   ## Initial offset position; one of "oldest" or "newest".
#   # offset = "oldest"
#
#   ## Consumer group partition assignment strategy; one of "range", "roundrobin" or "sticky".
#   # balance_strategy = "range"
#
#   ## Maximum number of retries for metadata operations including
#   ## connecting. Sets Sarama library's Metadata.Retry.Max config value. If 0 or
#   ## unset, use the Sarama default of 3,
#   # metadata_retry_max = 0
#
#   ## Type of retry backoff. Valid options: "constant", "exponential"
#   # metadata_retry_type = "constant"
#
#   ## Amount of time to wait before retrying. When metadata_retry_type is
#   ## "constant", each retry is delayed this amount. When "exponential", the
#   ## first retry is delayed this amount, and subsequent delays are doubled. If 0
#   ## or unset, use the Sarama default of 250 ms
#   # metadata_retry_backoff = 0
#
#   ## Maximum amount of time to wait before retrying when metadata_retry_type is
#   ## "exponential". Ignored for other retry types. If 0, there is no backoff
#   ## limit.
#   # metadata_retry_max_duration = 0
#
#   ## When set to true, this turns each bootstrap broker address into a set of
#   ## IPs, then does a reverse lookup on each one to get its canonical hostname.
#   ## This list of hostnames then replaces the original address list.
#   ## resolve_canonical_bootstrap_servers_only = false
#
#   ## Maximum length of a message to consume, in bytes (default 0/unlimited);
#   ## larger messages are dropped
#   max_message_len = 1000000
#
#   ## Max undelivered messages
#   ## This plugin uses tracking metrics, which ensure messages are read to
#   ## outputs before acknowledging them to the original broker to ensure data
#   ## is not lost. This option sets the maximum messages to read from the
#   ## broker that have not been written by an output.
#   ##
#   ## This value needs to be picked with awareness of the agent's
#   ## metric_batch_size value as well. Setting max undelivered messages too high
#   ## can result in a constant stream of data batches to the output. While
#   ## setting it too low may never flush the broker's messages.
#   # max_undelivered_messages = 1000
#
#   ## Maximum amount of time the consumer should take to process messages. If
#   ## the debug log prints messages from sarama about 'abandoning subscription
#   ## to [topic] because consuming was taking too long', increase this value to
#   ## longer than the time taken by the output plugin(s).
#   ##
#   ## Note that the effective timeout could be between 'max_processing_time' and
#   ## '2 * max_processing_time'.
#   # max_processing_time = "100ms"
#
#   ## The default number of message bytes to fetch from the broker in each
#   ## request (default 1MB). This should be larger than the majority of
#   ## your messages, or else the consumer will spend a lot of time
#   ## negotiating sizes and not actually consuming. Similar to the JVM's
#   ## `fetch.message.max.bytes`.
#   # consumer_fetch_default = "1MB"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   # data_format = "influx"


# # Read status information from one or more Kibana servers
# [[inputs.kibana]]
#   ## Specify a list of one or more Kibana servers
#   servers = ["http://localhost:5601"]
#
#   ## Timeout for HTTP requests
#   timeout = "5s"
#
#   ## HTTP Basic Auth credentials
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## If 'use_system_proxy' is set to true, Telegraf will check env vars such as
#   ## HTTP_PROXY, HTTPS_PROXY, and NO_PROXY (or their lowercase counterparts).
#   ## If 'use_system_proxy' is set to false (default) and 'http_proxy_url' is
#   ## provided, Telegraf will use the specified URL as HTTP proxy.
#   # use_system_proxy = false
#   # http_proxy_url = "http://localhost:8888"


# # Configuration for the AWS Kinesis input.
# [[inputs.kinesis_consumer]]
#   ## Amazon REGION of kinesis endpoint.
#   region = "ap-southeast-2"
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
#   ## 2) Assumed credentials via STS if role_arn is specified
#   ## 3) explicit credentials from 'access_key' and 'secret_key'
#   ## 4) shared profile from 'profile'
#   ## 5) environment variables
#   ## 6) shared credentials file
#   ## 7) EC2 Instance Profile
#   # access_key = ""
#   # secret_key = ""
#   # token = ""
#   # role_arn = ""
#   # web_identity_token_file = ""
#   # role_session_name = ""
#   # profile = ""
#   # shared_credential_file = ""
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = "http://localhost:8000"
#   # endpoint_url = ""
#
#   ## Kinesis StreamName must exist prior to starting telegraf.
#   streamname = "StreamName"
#
#   ## Shard iterator type
#   ## Available options: 'TRIM_HORIZON' (first in non-expired) and 'LATEST'
#   # shard_iterator_type = "TRIM_HORIZON"
#
#   ## Interval for checking for new records
#   ## Please consider limits for getting records documented here:
#   ## https://docs.aws.amazon.com/streams/latest/dev/service-sizes-and-limits.html
#   # poll_interval = "250ms"
#
#   ## Interval for scanning for new shards created when resharding
#   ## If set to zero, shards are only scanned once on startup.
#   # shard_update_interval = "30s"
#
#   ## Max undelivered messages
#   ## This plugin uses tracking metrics, which ensure messages are read to
#   ## outputs before acknowledging them to the original broker to ensure data
#   ## is not lost. This option sets the maximum messages to read from the
#   ## broker that have not been written by an output.
#   ##
#   ## This value needs to be picked with awareness of the agent's
#   ## metric_batch_size value as well. Setting max undelivered messages too high
#   ## can result in a constant stream of data batches to the output. While
#   ## setting it too low may never flush the broker's messages.
#   # max_undelivered_messages = 1000
#
#   ## Content encoding of the record data
#   ## If you are processing a cloudwatch logs kinesis stream then set this to
#   ## "gzip" as AWS compresses cloudwatch log data before it is sent to kinesis.
#   # content_encoding = "identity"
#
#   ## Data format of the records to consume
#   ## See https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   # data_format = "influx"
#
#   ## Optional: Configuration for DynamoDB backend to store positions in the stream
#   # [inputs.kinesis_consumer.checkpoint_dynamodb]
#   #   ## Unique name for this consumer
#   #   app_name = "default"
#   #   ## Table to store the sequence numbers in
#   #   table_name = "default"
#   #   ## Interval for persisting data to limit write operations
#   #   # interval = "10s"


# # Listener capable of handling KNX bus messages provided through a KNX-IP Interface.
# [[inputs.knx_listener]]
#   ## Type of KNX-IP interface.
#   ## Can be either "tunnel_udp", "tunnel_tcp", "tunnel" (alias for tunnel_udp) or "router".
#   # service_type = "tunnel"
#
#   ## Address of the KNX-IP interface.
#   service_address = "localhost:3671"
#
#   ## Measurement definition(s)
#   # [[inputs.knx_listener.measurement]]
#   #   ## Name of the measurement
#   #   name = "temperature"
#   #   ## Datapoint-Type (DPT) of the KNX messages
#   #   dpt = "9.001"
#   #   ## Use the string representation instead of the numerical value for the
#   #   ## datapoint-type and the addresses below
#   #   # as_string = false
#   #   ## List of Group-Addresses (GAs) assigned to the measurement
#   #   addresses = ["5/5/1"]
#
#   # [[inputs.knx_listener.measurement]]
#   #   name = "illumination"
#   #   dpt = "9.004"
#   #   addresses = ["5/5/3"]


# # Read metrics off Arista LANZ, via socket
# [[inputs.lanz]]
#   ## URL to Arista LANZ endpoint
#   servers = [
#     "tcp://switch1.int.example.com:50001",
#     "tcp://switch2.int.example.com:50001",
#   ]


# # Query Loki endpoints using LogQL
# [[inputs.logql]]
#   ## URL of the Loki endpoint
#   # url = "http://localhost:3100"
#
#   ## Basic authentication properties
#   # username = ""
#   # password = ""
#
#   ## Bearer token based authentication
#   # token = ""
#
#   ## Organization IDs for the queries in multi-tenant setups
#   # organizations = []
#
#   ## Timeout for executing queries with zero meaning no timeout
#   # timeout = "5s"
#
#   ## HTTP connection settings
#   # idle_conn_timeout = "0s"
#   # max_idle_conn = 0
#   # max_idle_conn_per_host = 0
#   # response_timeout = "0s"
#
#   ## Optional proxy settings
#   # use_system_proxy = false
#   # http_proxy_url = ""
#
#   ## Optional TLS settings
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable =
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Password for the key file if it is encrypted
#   # tls_key_pwd = ""
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Minimal TLS version to accept by the client
#   # tls_min_version = "TLS12"
#   ## List of ciphers to accept, by default all secure ciphers will be accepted
#   ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
#   ## Use "all", "secure" and "insecure" to add all support ciphers, secure
#   ## suites or insecure suites respectively.
#   # tls_cipher_suites = ["secure"]
#   ## Renegotiation method, "never", "once" or "freely"
#   # tls_renegotiation_method = "never"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Instant queries, multiple instances are allowed
#   # [[inputs.logql.instant]]
#   #   ## Fallback name of the resulting metrics to use as metric name in case
#   #   ## the __name__ property of the query results is empty.
#   #   # name = "logql"
#   #
#   #   ## Query to execute
#   #   query = 'count_over_time({job="varlogs"}[24h])'
#   #
#   #   ## Sorting direction of logs, either "forward" or "backward"
#   #   # sorting = "backward"
#   #
#   #   ## Limit for the number of results returned by the server with zero
#   #   ## meaning no limit
#   #   # limit = 0
#
#   ## Range queries, multiple instances are allowed
#   # [[inputs.logql.range]]
#   #   ## Fallback name of the resulting metrics to use as metric name in case
#   #   ## the __name__ property of the query results is empty.
#   #   # name = "logql"
#   #
#   #   ## Query to execute
#   #   query = '{job="varlogs"}'
#   #
#   #   ## Range parameters relative to the gathering time with positive values
#   #   ## refer to BEFORE and negative to AFTER the gathering time
#   #   start = "5m"
#   #   # end = "0s"
#   #   # step = "0s"
#   #   # interval = "0s"
#   #
#   #   ## Sorting direction of logs, either "forward" or "backward"
#   #   # sorting = "backward"
#   #
#   #   ## Limit for the number of results returned by the server with zero
#   #   ## meaning no limit
#   #   # limit = 0


# # Read metrics exposed by Logstash
# [[inputs.logstash]]
#   ## The URL of the exposed Logstash API endpoint.
#   url = "http://127.0.0.1:9600"
#
#   ## Use Logstash 5 single pipeline API, set to true when monitoring
#   ## Logstash 5.
#   # single_pipeline = false
#
#   ## Enable optional collection components.  Can contain
#   ## "pipelines", "process", and "jvm".
#   # collect = ["pipelines", "process", "jvm"]
#
#   ## Timeout for HTTP requests.
#   # timeout = "5s"
#
#   ## Optional HTTP Basic Auth credentials.
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Optional TLS Config.
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Use TLS but skip chain & host verification.
#   # insecure_skip_verify = false
#
#   ## If 'use_system_proxy' is set to true, Telegraf will check env vars such as
#   ## HTTP_PROXY, HTTPS_PROXY, and NO_PROXY (or their lowercase counterparts).
#   ## If 'use_system_proxy' is set to false (default) and 'http_proxy_url' is
#   ## provided, Telegraf will use the specified URL as HTTP proxy.
#   # use_system_proxy = false
#   # http_proxy_url = "http://localhost:8888"
#
#   ## Optional HTTP headers.
#   # [inputs.logstash.headers]
#   #   "X-Special-Header" = "Special-Value"


# # Read metrics from a Mavlink flight controller.
# [[inputs.mavlink]]
#   ## Flight controller URL supporting serial port, UDP and TCP connections.
#   ## Options are documented at
#   ##   https://mavsdk.mavlink.io/v1.4/en/cpp/guide/connections.html.
#   ##
#   ## Examples:
#   ## - Serial port: serial:///dev/ttyACM0:57600
#   ## - TCP client:  tcp://192.168.1.12:5760
#   ## - UDP client:  udp://192.168.1.12:14550
#   ## - TCP server:  tcpserver://:5760
#   ## - UDP server:  udpserver://:14550
#   # url = "tcp://127.0.0.1:5760"
#
#   ## Filter to specific messages. Only the messages in this list will be parsed.
#   ## If blank or unset, all messages will be accepted. Glob syntax is accepted.
#   ## Each message in this list should be lowercase camel_case, with "message_"
#   ## prefix removed, eg: "global_position_int", "attitude"
#   # filter = []
#
#   ## Mavlink system ID for Telegraf. Only used if the mavlink plugin is sending
#   ## messages, eg. when `stream_request_frequency` is 0 (see below.)
#   # system_id = 254
#
#   ## Determines whether the plugin sends requests to subscribe to data.
#   ## In mavlink, stream rates must be configured before data is received.
#   ## This config item sets the rate in Hz, with 0 disabling the request.
#   ##
#   ## This frequency should be set to 0 if your software already controls the
#   ## rates using REQUEST_DATA_STREAM or MAV_CMD_SET_MESSAGE_INTERVAL
#   ## (See https://mavlink.io/en/mavgen_python/howto_requestmessages.html)
#   # stream_request_frequency = 4


# # Read metrics from one or many MongoDB servers
# [[inputs.mongodb]]
#   ## An array of URLs of the form:
#   ##   "mongodb://" [user ":" pass "@"] host [ ":" port]
#   ## For example:
#   ##   mongodb://user:auth_key@10.10.3.30:27017,
#   ##   mongodb://10.10.3.33:18832,
#   ##
#   ## If connecting to a cluster, users must include the "?connect=direct" in
#   ## the URL to ensure that the connection goes directly to the specified node
#   ## and not have all connections passed to the master node.
#   servers = ["mongodb://127.0.0.1:27017/?connect=direct"]
#
#   ## When true, collect cluster status.
#   ## Note that the query that counts jumbo chunks triggers a COLLSCAN, which
#   ## may have an impact on performance.
#   # gather_cluster_status = true
#
#   ## When true, collect per database stats
#   # gather_perdb_stats = false
#
#   ## When true, collect per collection stats
#   # gather_col_stats = false
#
#   ## When true, collect usage statistics for each collection
#   ## (insert, update, queries, remove, getmore, commands etc...).
#   # gather_top_stat = false
#
#   ## List of db where collections stats are collected
#   ## If empty, all db are concerned
#   # col_stats_dbs = ["local"]
#
#   ## Optional TLS Config
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable =
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Password for the key file if it is encrypted
#   # tls_key_pwd = ""
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Minimal TLS version to accept by the client
#   # tls_min_version = "TLS12"
#   ## List of ciphers to accept, by default all secure ciphers will be accepted
#   ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
#   ## Use "all", "secure" and "insecure" to add all support ciphers, secure
#   ## suites or insecure suites respectively.
#   # tls_cipher_suites = ["secure"]
#   ## Renegotiation method, "never", "once" or "freely"
#   # tls_renegotiation_method = "never"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Specifies plugin behavior regarding disconnected servers
#   ## Available choices :
#   ##   - error: telegraf will return an error on startup if one the servers is unreachable
#   ##   - skip: telegraf will skip unreachable servers on both startup and gather
#   # disconnected_servers_behavior = "error"


# # Read metrics from MQTT topic(s)
# [[inputs.mqtt_consumer]]
#   ## Broker URLs for the MQTT server or cluster.  To connect to multiple
#   ## clusters or standalone servers, use a separate plugin instance.
#   ##   example: servers = ["tcp://localhost:1883"]
#   ##            servers = ["ssl://localhost:1883"]
#   ##            servers = ["ws://localhost:1883"]
#   servers = ["tcp://127.0.0.1:1883"]
#
#   ## Topics that will be subscribed to.
#   topics = [
#     "telegraf/host01/cpu",
#     "telegraf/+/mem",
#     "sensors/#",
#   ]
#
#   ## The message topic will be stored in a tag specified by this value.  If set
#   ## to the empty string no topic tag will be created.
#   # topic_tag = "topic"
#
#   ## QoS policy for messages
#   ##   0 = at most once
#   ##   1 = at least once
#   ##   2 = exactly once
#   ##
#   ## When using a QoS of 1 or 2, you should enable persistent_session to allow
#   ## resuming unacknowledged messages.
#   # qos = 0
#
#   ## Connection timeout for initial connection in seconds
#   # connection_timeout = "30s"
#
#   ## Interval and ping timeout for keep-alive messages
#   ## The sum of those options defines when a connection loss is detected.
#   ## Note: The keep-alive interval needs to be greater or equal one second and
#   ## fractions of a second are not supported.
#   # keepalive = "60s"
#   # ping_timeout = "10s"
#
#   ## Max undelivered messages
#   ## This plugin uses tracking metrics, which ensure messages are read to
#   ## outputs before acknowledging them to the original broker to ensure data
#   ## is not lost. This option sets the maximum messages to read from the
#   ## broker that have not been written by an output.
#   ##
#   ## This value needs to be picked with awareness of the agent's
#   ## metric_batch_size value as well. Setting max undelivered messages too high
#   ## can result in a constant stream of data batches to the output. While
#   ## setting it too low may never flush the broker's messages.
#   # max_undelivered_messages = 1000
#
#   ## Persistent session disables clearing of the client session on connection.
#   ## In order for this option to work you must also set client_id to identify
#   ## the client.  To receive messages that arrived while the client is offline,
#   ## also set the qos option to 1 or 2 and don't forget to also set the QoS when
#   ## publishing. Finally, using a persistent session will use the initial
#   ## connection topics and not subscribe to any new topics even after
#   ## reconnecting or restarting without a change in client ID.
#   # persistent_session = false
#
#   ## If unset, a random client ID will be generated.
#   # client_id = ""
#
#   ## Username and password to connect MQTT server.
#   # username = "telegraf"
#   # password = "metricsmetricsmetricsmetrics"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Client trace messages
#   ## When set to true, and debug mode enabled in the agent settings, the MQTT
#   ## client's messages are included in telegraf logs. These messages are very
#   ## noisey, but essential for debugging issues.
#   # client_trace = false
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"
#
#   ## Enable extracting tag values from MQTT topics
#   ## _ denotes an ignored entry in the topic path,
#   ## # denotes a variable length path element (can only be used once per setting)
#   # [[inputs.mqtt_consumer.topic_parsing]]
#   #   topic = ""
#   #   measurement = ""
#   #   tags = ""
#   #   fields = ""
#   ## Value supported is int, float, unit
#   #   [inputs.mqtt_consumer.topic_parsing.types]
#   #      key = type


# # Read metrics from NATS subject(s)
# [[inputs.nats_consumer]]
#   ## urls of NATS servers
#   servers = ["nats://localhost:4222"]
#
#   ## subject(s) to consume
#   ## If you use jetstream you need to set the subjects
#   ## in jetstream_subjects
#   subjects = ["telegraf"]
#
#   ## jetstream subjects
#   ## jetstream is a streaming technology inside of nats.
#   ## With jetstream the nats-server persists messages and
#   ## a consumer can consume historical messages. This is
#   ## useful when telegraf needs to restart it don't miss a
#   ## message. You need to configure the nats-server.
#   ## https://docs.nats.io/nats-concepts/jetstream.
#   jetstream_subjects = ["js_telegraf"]
#
#   ## explicitly specify the jetstream stream name
#   ## useful for sourced streams where there is no subject defined and
#   ## thus jetstream_subjects won't work
#   jetstream_stream = ""
#
#   ## name a queue group
#   queue_group = "telegraf_consumers"
#
#   ## Optional authentication with username and password credentials
#   # username = ""
#   # password = ""
#
#   ## Optional authentication with NATS credentials file (NATS 2.0)
#   # credentials = "/etc/telegraf/nats.creds"
#
#   ## Optional authentication with nkey seed file (NATS 2.0)
#   # nkey_seed = "/etc/telegraf/seed.txt"
#
#   ## Use Transport Layer Security
#   # secure = false
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Sets the limits for pending msgs and bytes for each subscription
#   ## These shouldn't need to be adjusted except in very high throughput scenarios
#   # pending_message_limit = 65536
#   # pending_bytes_limit = 67108864
#
#   ## Max undelivered messages
#   ## This plugin uses tracking metrics, which ensure messages are read to
#   ## outputs before acknowledging them to the original broker to ensure data
#   ## is not lost. This option sets the maximum messages to read from the
#   ## broker that have not been written by an output.
#   ##
#   ## This value needs to be picked with awareness of the agent's
#   ## metric_batch_size value as well. Setting max undelivered messages too high
#   ## can result in a constant stream of data batches to the output. While
#   ## setting it too low may never flush the broker's messages.
#   # max_undelivered_messages = 1000
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Read energy data from the local Neoom Beaam gateway
# [[inputs.neoom_beaam]]
#   ## Address of the gateway
#   # address = "https://10.10.10.10"
#
#   ## Bearer token for accessing the data
#   # token = ""
#
#   ## Enforce refreshing the site configuration in each gather cycle
#   # refresh_configuration = false
#
#   ## Optional TLS Config
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable =
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Password for the key file if it is encrypted
#   # tls_key_pwd = ""
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Minimal TLS version to accept by the client
#   # tls_min_version = "TLS12"
#   ## List of ciphers to accept, by default all secure ciphers will be accepted
#   ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
#   ## Use "all", "secure" and "insecure" to add all support ciphers, secure
#   ## suites or insecure suites respectively.
#   # tls_cipher_suites = ["secure"]
#   ## Renegotiation method, "never", "once" or "freely"
#   # tls_renegotiation_method = "never"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Netflow v5, Netflow v9 and IPFIX collector
# [[inputs.netflow]]
#   ## Address to listen for netflow,ipfix or sflow packets.
#   ##   example: service_address = "udp://:2055"
#   ##            service_address = "udp4://:2055"
#   ##            service_address = "udp6://:2055"
#   service_address = "udp://:2055"
#
#   ## Set the size of the operating system's receive buffer.
#   ##   example: read_buffer_size = "64KiB"
#   ## Uses the system's default if not set.
#   # read_buffer_size = ""
#
#   ## Protocol version to use for decoding.
#   ## Available options are
#   ##   "ipfix"      -- IPFIX / Netflow v10 protocol (also works for Netflow v9)
#   ##   "netflow v5" -- Netflow v5 protocol
#   ##   "netflow v9" -- Netflow v9 protocol (also works for IPFIX)
#   ##   "sflow v5"   -- sFlow v5 protocol
#   # protocol = "ipfix"
#
#   ## Private Enterprise Numbers (PEN) mappings for decoding
#   ## This option allows to specify vendor-specific mapping files to use during
#   ## decoding.
#   # private_enterprise_number_files = []
#
#   ## Log incoming packets for tracing issues
#   # log_level = "trace"


# # Gather Netgear Switch Discovery Protocol status
# [[inputs.nsdp]]
#   ## The target address to use for status gathering. Either Broadcast (default)
#   ## or the address of a single well-known device.
#   # address = "255.255.255.255:63322"
#
#   ## The maximum number of device responses to wait for. 0 means no limit.
#   ## NSDP works asynchronously. Without a limit (0) the plugin always waits
#   ## the amount given in timeout for possible responses. By setting this
#   ## option to the known number of devices, the plugin completes
#   ## processing as soon as the last device has answered.
#   # device_limit = 0
#
#   ## The maximum duration to wait for device responses.
#   # timeout = "2s"


# # Read metrics from NSQD topic(s)
# [[inputs.nsq_consumer]]
#   ## An array representing the NSQD TCP HTTP Endpoints
#   nsqd = ["localhost:4150"]
#
#   ## An array representing the NSQLookupd HTTP Endpoints
#   nsqlookupd = ["localhost:4161"]
#   topic = "telegraf"
#   channel = "consumer"
#   max_in_flight = 100
#
#   ## Max undelivered messages
#   ## This plugin uses tracking metrics, which ensure messages are read to
#   ## outputs before acknowledging them to the original broker to ensure data
#   ## is not lost. This option sets the maximum messages to read from the
#   ## broker that have not been written by an output.
#   ##
#   ## This value needs to be picked with awareness of the agent's
#   ## metric_batch_size value as well. Setting max undelivered messages too high
#   ## can result in a constant stream of data batches to the output. While
#   ## setting it too low may never flush the broker's messages.
#   # max_undelivered_messages = 1000
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Pulls statistics from nvidia GPUs attached to the host
# [[inputs.nvidia_smi]]
#   ## Optional: path to nvidia-smi binary, defaults "/usr/bin/nvidia-smi"
#   ## We will first try to locate the nvidia-smi binary with the explicitly specified value (or default value),
#   ## if it is not found, we will try to locate it on PATH(exec.LookPath), if it is still not found, an error will be returned
#   # bin_path = "/usr/bin/nvidia-smi"
#
#   ## Optional: timeout for GPU polling
#   # timeout = "5s"


# # Retrieve data from OPCUA devices
# [[inputs.opcua_listener]]
#   ## Metric name
#   # name = "opcua_listener"
#   #
#   ## OPC UA Endpoint URL
#   # endpoint = "opc.tcp://localhost:4840"
#   #
#   ## Maximum time allowed to establish a connect to the endpoint.
#   # connect_timeout = "10s"
#   #
#   ## Behavior when we fail to connect to the endpoint on initialization. Valid options are:
#   ##     "error": throw an error and exits Telegraf
#   ##     "ignore": ignore this plugin if errors are encountered
#   #      "retry": retry connecting at each interval
#   # connect_fail_behavior = "error"
#   #
#   ## Maximum time allowed for a request over the established connection.
#   # request_timeout = "5s"
#   #
#   # Maximum time that a session shall remain open without activity.
#   # session_timeout = "20m"
#   #
#   ## The interval at which the server should at least update its monitored items.
#   ## Please note that the OPC UA server might reject the specified interval if it cannot meet the required update rate.
#   ## Therefore, always refer to the hardware/software documentation of your server to ensure the specified interval is supported.
#   # subscription_interval = "100ms"
#   #
#   ## Security policy, one of "None", "Basic128Rsa15", "Basic256",
#   ## "Basic256Sha256", or "auto"
#   # security_policy = "auto"
#   #
#   ## Security mode, one of "None", "Sign", "SignAndEncrypt", or "auto"
#   # security_mode = "auto"
#   #
#   ## Path to cert.pem. Required when security mode or policy isn't "None".
#   ## If cert path is not supplied, self-signed cert and key will be generated.
#   # certificate = "/etc/telegraf/cert.pem"
#   #
#   ## Path to private key.pem. Required when security mode or policy isn't "None".
#   ## If key path is not supplied, self-signed cert and key will be generated.
#   # private_key = "/etc/telegraf/key.pem"
#
#   ## Path to additional, explicitly trusted certificate for the remote endpoint
#   # remote_certificate = "/etc/telegraf/opcua_server_cert.pem"
#
#   ## Authentication Method, one of "Certificate", "UserName", or "Anonymous".  To
#   ## authenticate using a specific ID, select 'Certificate' or 'UserName'
#   # auth_method = "Anonymous"
#   #
#   ## Username. Required for auth_method = "UserName"
#   # username = ""
#   #
#   ## Password. Required for auth_method = "UserName"
#   # password = ""
#   #
#   ## Option to select the metric timestamp to use. Valid options are:
#   ##     "gather" -- uses the time of receiving the data in telegraf
#   ##     "server" -- uses the timestamp provided by the server
#   ##     "source" -- uses the timestamp provided by the source
#   # timestamp = "gather"
#   #
#   ## The default timetsamp format is RFC3339Nano
#   # Other timestamp layouts can be configured using the Go language time
#   # layout specification from https://golang.org/pkg/time/#Time.Format
#   # e.g.: json_timestamp_format = "2006-01-02T15:04:05Z07:00"
#   #timestamp_format = ""
#   #
#   #
#   ## Client trace messages
#   ## When set to true, and debug mode enabled in the agent settings, the OPCUA
#   ## client's messages are included in telegraf logs. These messages are very
#   ## noisey, but essential for debugging issues.
#   # client_trace = false
#   #
#   ## Include additional Fields in each metric
#   ## Available options are:
#   ##   DataType -- OPC-UA Data Type (string)
#   # optional_fields = []
#   #
#   ## Node ID configuration
#   ## name              - field name to use in the output
#   ## namespace         - OPC UA namespace of the node (integer value 0 thru 3)
#   ## namespace_uri     - OPC UA namespace URI (alternative to namespace for stable references)
#   ## identifier_type   - OPC UA ID type (s=string, i=numeric, g=guid, b=opaque)
#   ## identifier        - OPC UA ID (tag as shown in opcua browser)
#   ## default_tags      - extra tags to be added to the output metric (optional)
#   ## monitoring_params - additional settings for the monitored node (optional)
#   ##
#   ## Note: Specify either 'namespace' or 'namespace_uri', not both.
#   ##
#   ## Monitoring parameters
#   ## sampling_interval  - interval at which the server should check for data
#   ##                      changes (default: 0s)
#   ## queue_size         - size of the notification queue (default: 10)
#   ## discard_oldest     - how notifications should be handled in case of full
#   ##                      notification queues, possible values:
#   ##                      true: oldest value added to queue gets replaced with new
#   ##                            (default)
#   ##                      false: last value added to queue gets replaced with new
#   ## data_change_filter - defines the condition under which a notification should
#   ##                      be reported
#   ##
#   ## Data change filter
#   ## trigger        - specify the conditions under which a data change notification
#   ##                  should be reported, possible values:
#   ##                  "Status": only report notifications if the status changes
#   ##                            (default if parameter is omitted)
#   ##                  "StatusValue": report notifications if either status or value
#   ##                                 changes
#   ##                  "StatusValueTimestamp": report notifications if either status,
#   ##                                          value or timestamp changes
#   ## deadband_type  - type of the deadband filter to be applied, possible values:
#   ##                  "Absolute": absolute change in a data value to report a notification
#   ##                  "Percent": works only with nodes that have an EURange property set
#   ##                             and is defined as: send notification if
#   ##                             (last value - current value) >
#   ##                             (deadband_value/100.0) * ((high–low) of EURange)
#   ## deadband_value - value to deadband_type, must be a float value, no filter is set
#   ##                  for negative values
#   ##
#   ## Use either the inline notation or the bracketed notation, not both.
#   #
#   ## Inline notation (default_tags and monitoring_params not supported yet)
#   # nodes = [
#   #   {name="node1", namespace="", identifier_type="", identifier=""},
#   #   {name="node2", namespace="", identifier_type="", identifier=""}
#   # ]
#   #
#   ## Bracketed notation
#   # [[inputs.opcua_listener.nodes]]
#   #   name = "node1"
#   #   namespace = ""
#   #   identifier_type = ""
#   #   identifier = ""
#   #   default_tags = { tag1 = "value1", tag2 = "value2" }
#   #
#   # [[inputs.opcua_listener.nodes]]
#   #   name = "node2"
#   #   namespace = ""
#   #   identifier_type = ""
#   #   identifier = ""
#   #
#   #   [inputs.opcua_listener.nodes.monitoring_params]
#   #     sampling_interval = "0s"
#   #     queue_size = 10
#   #     discard_oldest = true
#   #
#   #     [inputs.opcua_listener.nodes.monitoring_params.data_change_filter]
#   #       trigger = "Status"
#   #       deadband_type = "Absolute"
#   #       deadband_value = 0.0
#   #
#   # [[inputs.opcua_listener.nodes]]
#   #   name = "node3"
#   #   namespace_uri = "http://opcfoundation.org/UA/"
#   #   identifier_type = ""
#   #   identifier = ""
#   #
#   ## Node Group
#   ## Sets defaults so they aren't required in every node.
#   ## Default values can be set for:
#   ## * Metric name
#   ## * OPC UA namespace
#   ## * Identifier
#   ## * Default tags
#   ## * Sampling interval
#   ##
#   ## Multiple node groups are allowed
#   #[[inputs.opcua_listener.group]]
#   ## Group Metric name. Overrides the top level name.  If unset, the
#   ## top level name is used.
#   # name =
#   #
#   ## Group default namespace. If a node in the group doesn't set its
#   ## namespace, this is used.
#   # namespace =
#   #
#   ## Group default namespace URI. Alternative to namespace for stable references.
#   ## If a node in the group doesn't set its namespace_uri, this is used.
#   # namespace_uri =
#   #
#   ## Group default identifier type. If a node in the group doesn't set its
#   ## identifier_type, this is used.
#   # identifier_type =
#   #
#   ## Default tags that are applied to every node in this group. Can be
#   ## overwritten in a node by setting a different value for the tag name.
#   ##   example: default_tags = { tag1 = "value1" }
#   # default_tags = {}
#   #
#   ## Group default sampling interval. If a node in the group doesn't set its
#   ## sampling interval, this is used.
#   # sampling_interval = "0s"
#   #
#   ## Node ID Configuration.  Array of nodes with the same settings as above.
#   ## Use either the inline notation or the bracketed notation, not both.
#   #
#   ## Inline notation (default_tags and monitoring_params not supported yet)
#   # nodes = [
#   #  {name="node1", namespace="", identifier_type="", identifier=""},
#   #  {name="node2", namespace="", identifier_type="", identifier=""}
#   #]
#   #
#   ## Bracketed notation
#   # [[inputs.opcua_listener.group.nodes]]
#   #   name = "node1"
#   #   namespace = ""
#   #   identifier_type = ""
#   #   identifier = ""
#   #   default_tags = { tag1 = "override1", tag2 = "value2" }
#   #
#   # [[inputs.opcua_listener.group.nodes]]
#   #   name = "node2"
#   #   namespace = ""
#   #   identifier_type = ""
#   #   identifier = ""
#   #
#   #   [inputs.opcua_listener.group.nodes.monitoring_params]
#   #     sampling_interval = "0s"
#   #     queue_size = 10
#   #     discard_oldest = true
#   #
#   #     [inputs.opcua_listener.group.nodes.monitoring_params.data_change_filter]
#   #       trigger = "Status"
#   #       deadband_type = "Absolute"
#   #       deadband_value = 0.0
#   #
#
#   ## Multiple event groups are allowed.
#   # [[inputs.opcua_listener.events]]
#   #   ## Polling interval for data collection
#   #   # sampling_interval = "10s"
#   #   ## Size of the notification queue
#   #   # queue_size = 10
#   #   ## Node parameter defaults for node definitions below
#   #   # namespace = ""
#   #   # identifier_type = ""
#   #   ## Specifies OPCUA Event sources to filter on
#   #   # source_names = ["SourceName1", "SourceName2"]
#   #   ## Fields to capture from event notifications
#   #   fields = ["Severity", "Message", "Time"]
#   #
#   #   ## Type or level of events to capture from the monitored nodes.
#   #   [inputs.opcua_listener.events.event_type_node]
#   #     namespace = ""
#   #     identifier_type = ""
#   #     identifier = ""
#   #
#   #   ## Nodes to monitor for event notifications associated with the defined
#   #   ## event type
#   #   [[inputs.opcua_listener.events.node_ids]]
#   #     namespace = ""
#   #     identifier_type = ""
#   #     identifier = ""
#
#   ## Enable workarounds required by some devices to work correctly
#   # [inputs.opcua_listener.workarounds]
#   #  ## Set additional valid status codes, StatusOK (0x0) is always considered valid
#   #  # additional_valid_status_codes = ["0xC0"]
#   #  ## Use unregistered reads instead of registered reads
#   #  # use_unregistered_reads = false


# # Collects performance metrics from OpenStack services
# [[inputs.openstack]]
#   ## The recommended interval to poll is '30m'
#
#   ## The identity endpoint to authenticate against and get the service catalog from.
#   authentication_endpoint = "https://my.openstack.cloud:5000"
#
#   ## The domain to authenticate against when using a V3 identity endpoint.
#   # domain = "default"
#
#   ## The project to authenticate as.
#   # project = "admin"
#
#   ## User authentication credentials. Must have admin rights.
#   username = "admin"
#   password = "password"
#
#   ## Available services are:
#   ## "agents", "aggregates", "cinder_services", "flavors", "hypervisors",
#   ## "networks", "nova_services", "ports", "projects", "servers",
#   ## "serverdiagnostics", "services", "stacks", "storage_pools", "subnets",
#   ## "volumes"
#   # enabled_services = ["services", "projects", "hypervisors", "flavors", "networks", "volumes"]
#
#   ## Query all instances of all tenants for the volumes and server services
#   ## NOTE: Usually this is only permitted for administrators!
#   # query_all_tenants = true
#
#   ## output secrets (such as adminPass(for server) and UserID(for volume)).
#   # output_secrets = false
#
#   ## Amount of time allowed to complete the HTTP(s) request.
#   # timeout = "5s"
#
#   ## HTTP Proxy support
#   # http_proxy_url = ""
#
#   ## Optional TLS Config
#   # tls_ca = /path/to/cafile
#   # tls_cert = /path/to/certfile
#   # tls_key = /path/to/keyfile
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Options for tags received from Openstack
#   # tag_prefix = "openstack_tag_"
#   # tag_value = "true"
#
#   ## Timestamp format for timestamp data received from Openstack.
#   ## If false format is unix nanoseconds.
#   # human_readable_timestamps = false
#
#   ## Measure Openstack call duration
#   # measure_openstack_requests = false


# # Receive OpenTelemetry traces, metrics, and logs over gRPC
# [[inputs.opentelemetry]]
#   ## Override the default (0.0.0.0:4317) destination OpenTelemetry gRPC service
#   ## address:port
#   # service_address = "0.0.0.0:4317"
#
#   ## Override the default (5s) new connection timeout
#   # timeout = "5s"
#
#   ## gRPC Maximum Message Size
#   # max_msg_size = "4MB"
#
#   ## Override the default span attributes to be used as line protocol tags.
#   ## These are always included as tags:
#   ## - trace ID
#   ## - span ID
#   ## Common attributes can be found here:
#   ## - https://github.com/open-telemetry/opentelemetry-collector/tree/main/semconv
#   # span_dimensions = ["service.name", "span.name"]
#
#   ## Override the default log record attributes to be used as line protocol tags.
#   ## These are always included as tags, if available:
#   ## - trace ID
#   ## - span ID
#   ## Common attributes can be found here:
#   ## - https://github.com/open-telemetry/opentelemetry-collector/tree/main/semconv
#   ## When using InfluxDB for both logs and traces, be certain that log_record_dimensions
#   ## matches the span_dimensions value.
#   # log_record_dimensions = ["service.name"]
#
#   ## Override the default profile attributes to be used as line protocol tags.
#   ## These are always included as tags, if available:
#   ## - profile_id
#   ## - address
#   ## - sample
#   ## - sample_name
#   ## - sample_unit
#   ## - sample_type
#   ## - sample_type_unit
#   ## Common attributes can be found here:
#   ## - https://github.com/open-telemetry/opentelemetry-collector/tree/main/semconv
#   # profile_dimensions = []
#
#   ## Override the default (prometheus-v1) metrics schema.
#   ## Supports: "prometheus-v1", "prometheus-v2"
#   ## For more information about the alternatives, read the Prometheus input
#   ## plugin notes.
#   # metrics_schema = "prometheus-v1"
#
#   ## Optional TLS Config.
#   ## For advanced options: https://github.com/influxdata/telegraf/blob/v1.18.3/docs/TLS.md
#   ##
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections.
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#   ## Add service certificate and key.
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"


# # Read metrics from one or many pgbouncer servers
# [[inputs.pgbouncer]]
#   ## specify address via a url matching:
#   ##   postgres://[pqgotest[:password]]@host:port[/dbname]\
#   ##       ?sslmode=[disable|verify-ca|verify-full]
#   ## or a simple string:
#   ##   host=localhost port=5432 user=pqgotest password=... sslmode=... dbname=app_production
#   ##
#   ## All connection parameters are optional.
#   ##
#   address = "host=localhost user=pgbouncer sslmode=disable"
#
#   ## Specify which "show" commands to gather metrics for.
#   ## Choose from: "stats", "pools", "lists", "databases"
#   # show_commands = ["stats", "pools"]


# # Read metrics from one or many postgresql servers
# [[inputs.postgresql]]
#   ## Specify address via a url matching:
#   ##   postgres://[pqgotest[:password]]@localhost[/dbname]?sslmode=[disable|verify-ca|verify-full]&statement_timeout=...
#   ## or a simple string:
#   ##   host=localhost user=pqgotest password=... sslmode=... dbname=app_production
#   ## Users can pass the path to the socket as the host value to use a socket
#   ## connection (e.g. `/var/run/postgresql`).
#   ##
#   ## All connection parameters are optional.
#   ##
#   ## Without the dbname parameter, the driver will default to a database
#   ## with the same name as the user. This dbname is just for instantiating a
#   ## connection with the server and doesn't restrict the databases we are trying
#   ## to grab metrics for.
#   ##
#   address = "host=localhost user=postgres sslmode=disable"
#
#   ## A custom name for the database that will be used as the "server" tag in the
#   ## measurement output. If not specified, a default one generated from
#   ## the connection address is used.
#   # outputaddress = "db01"
#
#   ## connection configuration.
#   ## maxlifetime - specify the maximum lifetime of a connection.
#   ## default is forever (0s)
#   ##
#   ## Note that this does not interrupt queries, the lifetime will not be enforced
#   ## whilst a query is running
#   # max_lifetime = "0s"
#
#   ## A  list of databases to explicitly ignore.  If not specified, metrics for all
#   ## databases are gathered.  Do NOT use with the 'databases' option.
#   # ignored_databases = ["postgres", "template0", "template1"]
#
#   ## A list of databases to pull metrics about. If not specified, metrics for all
#   ## databases are gathered.  Do NOT use with the 'ignored_databases' option.
#   # databases = ["app_production", "testing"]
#
#   ## Whether to use prepared statements when connecting to the database.
#   ## This should be set to false when connecting through a PgBouncer instance
#   ## with pool_mode set to transaction.
#   prepared_statements = true


# # Read metrics from one or many postgresql servers
# [[inputs.postgresql_extensible]]
#   # specify address via a url matching:
#   # postgres://[pqgotest[:password]]@host:port[/dbname]?sslmode=...&statement_timeout=...
#   # or a simple string:
#   #   host=localhost port=5432 user=pqgotest password=... sslmode=... dbname=app_production
#   #
#   # All connection parameters are optional.
#   # Without the dbname parameter, the driver will default to a database
#   # with the same name as the user. This dbname is just for instantiating a
#   # connection with the server and doesn't restrict the databases we are trying
#   # to grab metrics for.
#   #
#   address = "host=localhost user=postgres sslmode=disable"
#
#   ## Whether to use prepared statements when connecting to the database.
#   ## This should be set to false when connecting through a PgBouncer instance
#   ## with pool_mode set to transaction.
#   prepared_statements = true
#
#   # Define the toml config where the sql queries are stored
#   # The script option can be used to specify the .sql file path.
#   # If script and sqlquery options specified at same time, sqlquery will be used
#   #
#   # the measurement field defines measurement name for metrics produced
#   # by the query. Default is "postgresql".
#   #
#   # the tagvalue field is used to define custom tags (separated by comas).
#   # the query is expected to return columns which match the names of the
#   # defined tags. The values in these columns must be of a string-type,
#   # a number-type or a blob-type.
#   #
#   # The timestamp field is used to override the data points timestamp value. By
#   # default, all rows inserted with current time. By setting a timestamp column,
#   # the row will be inserted with that column's value.
#   #
#   # The min_version field specifies minimal database version this query
#   # will run on.
#   #
#   # The max_version field when set specifies maximal database version
#   # this query will NOT run on.
#   #
#   # Database version in `minversion` and `maxversion` is represented as
#   # a single integer without last component, for example:
#   # 9.6.2 -> 906
#   # 15.2 -> 1500
#   #
#   # Structure :
#   # [[inputs.postgresql_extensible.query]]
#   #   measurement string
#   #   sqlquery string
#   #   min_version int
#   #   max_version int
#   #   withdbname boolean
#   #   tagvalue string (coma separated)
#   #   timestamp string
#   [[inputs.postgresql_extensible.query]]
#     measurement="pg_stat_database"
#     sqlquery="SELECT * FROM pg_stat_database WHERE datname"
#     min_version=901
#     tagvalue=""
#   [[inputs.postgresql_extensible.query]]
#     script="your_sql-filepath.sql"
#     min_version=901
#     max_version=1300
#     tagvalue=""


# # Read metrics from one or many prometheus clients
# [[inputs.prometheus]]
#   ## An array of urls to scrape metrics from.
#   urls = ["http://localhost:9100/metrics"]
#
#   ## Metric version controls the mapping from Prometheus metrics into Telegraf metrics.
#   ## See "Metric Format Configuration" in plugins/inputs/prometheus/README.md for details.
#   ## Valid options: 1, 2
#   # metric_version = 1
#
#   ## Url tag name (tag containing scrapped url. optional, default is "url")
#   # url_tag = "url"
#
#   ## Whether the timestamp of the scraped metrics will be ignored.
#   ## If set to true, the gather time will be used.
#   # ignore_timestamp = false
#
#   ## Override content-type of the returned message
#   ## Available options are for prometheus:
#   ##   text, protobuf-delimiter, protobuf-compact, protobuf-text,
#   ## and for openmetrics:
#   ##   openmetrics-text, openmetrics-protobuf
#   ## By default the content-type of the response is used.
#   # content_type_override = ""
#
#   ## An array of Kubernetes services to scrape metrics from.
#   # kubernetes_services = ["http://my-service-dns.my-namespace:9100/metrics"]
#
#   ## Kubernetes config file to create client from.
#   # kube_config = "/path/to/kubernetes.config"
#
#   ## Scrape Pods
#   ## Enable scraping of k8s pods. Further settings as to which pods to scape
#   ## are determiend by the 'method' option below. When enabled, the default is
#   ## to use annotations to determine whether to scrape or not.
#   # monitor_kubernetes_pods = false
#
#   ## Scrape Pods Method
#   ## annotations: default, looks for specific pod annotations documented below
#   ## settings: only look for pods matching the settings provided, not
#   ##   annotations
#   ## settings+annotations: looks at pods that match annotations using the user
#   ##   defined settings
#   # monitor_kubernetes_pods_method = "annotations"
#
#   ## Scrape Pods 'annotations' method options
#   ## If set method is set to 'annotations' or 'settings+annotations', these
#   ## annotation flags are looked for:
#   ## - prometheus.io/scrape: Required to enable scraping for this pod. Can also
#   ##     use 'prometheus.io/scrape=false' annotation to opt-out entirely.
#   ## - prometheus.io/scheme: If the metrics endpoint is secured then you will
#   ##     need to set this to 'https' & most likely set the tls config
#   ## - prometheus.io/path: If the metrics path is not /metrics, define it with
#   ##     this annotation
#   ## - prometheus.io/port: If port is not 9102 use this annotation
#
#   ## Scrape Pods 'settings' method options
#   ## When using 'settings' or 'settings+annotations', the default values for
#   ## annotations can be modified using with the following options:
#   # monitor_kubernetes_pods_scheme = "http"
#   # monitor_kubernetes_pods_port = "9102"
#   # monitor_kubernetes_pods_path = "/metrics"
#
#   ## Get the list of pods to scrape with either the scope of
#   ## - cluster: the kubernetes watch api (default, no need to specify)
#   ## - node: the local cadvisor api; for scalability. Note that the config node_ip or the environment variable NODE_IP must be set to the host IP.
#   # pod_scrape_scope = "cluster"
#
#   ## Only for node scrape scope: node IP of the node that telegraf is running on.
#   ## Either this config or the environment variable NODE_IP must be set.
#   # node_ip = "10.180.1.1"
#
#   ## Only for node scrape scope: interval in seconds for how often to get updated pod list for scraping.
#   ## Default is 60 seconds.
#   # pod_scrape_interval = 60
#
#   ## Content length limit
#   ## When set, telegraf will drop responses with length larger than the configured value.
#   ## Default is "0KB" which means unlimited.
#   # content_length_limit = "0KB"
#
#   ## Restricts Kubernetes monitoring to a single namespace
#   ##   ex: monitor_kubernetes_pods_namespace = "default"
#   # monitor_kubernetes_pods_namespace = ""
#   ## The name of the label for the pod that is being scraped.
#   ## Default is 'namespace' but this can conflict with metrics that have the label 'namespace'
#   # pod_namespace_label_name = "namespace"
#   # label selector to target pods which have the label
#   # kubernetes_label_selector = "env=dev,app=nginx"
#   # field selector to target pods
#   # eg. To scrape pods on a specific node
#   # kubernetes_field_selector = "spec.nodeName=$HOSTNAME"
#
#   ## Filter which pod annotations and labels will be added to metric tags
#   #
#   # pod_annotation_include = ["annotation-key-1"]
#   # pod_annotation_exclude = ["exclude-me"]
#   # pod_label_include = ["label-key-1"]
#   # pod_label_exclude = ["exclude-me"]
#
#   # cache refresh interval to set the interval for re-sync of pods list.
#   # Default is 60 minutes.
#   # cache_refresh_interval = 60
#
#   ## Use bearer token for authorization. ('bearer_token' takes priority)
#   # bearer_token = "/path/to/bearer/token"
#   ## OR
#   # bearer_token_string = "abc_123"
#
#   ## HTTP Basic Authentication username and password. ('bearer_token' and
#   ## 'bearer_token_string' take priority)
#   # username = ""
#   # password = ""
#
#   ## Optional custom HTTP headers
#   # http_headers = {"X-Special-Header" = "Special-Value"}
#
#   ## Specify timeout duration for slower prometheus clients (default is 5s)
#   # timeout = "5s"
#
#   ## This option is now used by the HTTP client to set the header response
#   ## timeout, not the overall HTTP timeout.
#   # response_timeout = "5s"
#
#   ## HTTP Proxy support
#   # use_system_proxy = false
#   # http_proxy_url = ""
#
#   ## Optional TLS Config
#   # tls_ca = /path/to/cafile
#   # tls_cert = /path/to/certfile
#   # tls_key = /path/to/keyfile
#
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Use the given name as the SNI server name on each URL
#   # tls_server_name = "myhost.example.org"
#
#   ## TLS renegotiation method, choose from "never", "once", "freely"
#   # tls_renegotiation_method = "never"
#
#   ## Enable/disable TLS
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable = true
#
#   ## This option allows you to report the status of prometheus requests.
#   # enable_request_metrics = false
#
#   ## Scrape Services available in Consul Catalog
#   # [inputs.prometheus.consul]
#   #   enabled = true
#   #   agent = "http://localhost:8500"
#   #   query_interval = "5m"
#
#   #   [[inputs.prometheus.consul.query]]
#   #     name = "a service name"
#   #     tag = "a service tag"
#   #     url = 'http://{{if ne .ServiceAddress ""}}{{.ServiceAddress}}{{else}}{{.Address}}{{end}}:{{.ServicePort}}/{{with .ServiceMeta.metrics_path}}{{.}}{{else}}metrics{{end}}'
#   #     [inputs.prometheus.consul.query.tags]
#   #       host = "{{.Node}}"
#
#   ## Scrape Hosts available with http service discovery
#   # [inputs.prometheus.http_service_discovery]
#   #   enabled = false
#   #   url = "http://localhost:9000/service-discovery"
#   #   query_interval = "5m"
#
#   ## Control pod scraping based on pod namespace annotations
#   ## Pass and drop here act like tagpass and tagdrop, but instead
#   ## of filtering metrics they filters pod candidates for scraping
#   #[inputs.prometheus.namespace_annotation_pass]
#   # annotation_key = ["value1", "value2"]
#   #[inputs.prometheus.namespace_annotation_drop]
#   # some_annotation_key = ["dont-scrape"]


# # Query prometheus endpoints using PromQL
# [[inputs.promql]]
#   ## URL of the prometheus endpoint
#   url = "http://localhost:9090"
#
#   ## Basic authentication properties
#   # username = ""
#   # password = ""
#
#   ## Bearer token based authentication
#   # token = ""
#
#   ## Timeout for executing queries with zero meaning no timeout
#   # timeout = "5s"
#
#   ## HTTP connection settings
#   # idle_conn_timeout = "0s"
#   # max_idle_conn = 0
#   # max_idle_conn_per_host = 0
#   # response_timeout = "0s"
#
#   ## Optional proxy settings
#   # use_system_proxy = false
#   # http_proxy_url = ""
#
#   ## Optional TLS settings
#   ## Set to true/false to enforce TLS being enabled/disabled. If not set,
#   ## enable TLS only if any of the other options are specified.
#   # tls_enable =
#   ## Trusted root certificates for server
#   # tls_ca = "/path/to/cafile"
#   ## Used for TLS client certificate authentication
#   # tls_cert = "/path/to/certfile"
#   ## Used for TLS client certificate authentication
#   # tls_key = "/path/to/keyfile"
#   ## Password for the key file if it is encrypted
#   # tls_key_pwd = ""
#   ## Send the specified TLS server name via SNI
#   # tls_server_name = "kubernetes.example.com"
#   ## Minimal TLS version to accept by the client
#   # tls_min_version = "TLS12"
#   ## List of ciphers to accept, by default all secure ciphers will be accepted
#   ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
#   ## Use "all", "secure" and "insecure" to add all support ciphers, secure
#   ## suites or insecure suites respectively.
#   # tls_cipher_suites = ["secure"]
#   ## Renegotiation method, "never", "once" or "freely"
#   # tls_renegotiation_method = "never"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Instant queries, multiple instances are allowed
#   # [[inputs.promql.instant]]
#   #   ## Fallback name of the resulting metrics to use as metric name in case
#   #   ## the __name__ property of the query results is empty.
#   #   # name = "promql"
#   #
#   #   ## Query to execute
#   #   query = 'prometheus_http_requests_total'
#   #
#   #   ## Limit for the number of results returned by the server with zero
#   #   ## meaning no limit
#   #   # limit = 0
#
#   ## Range queries, multiple instances are allowed
#   # [[inputs.promql.range]]
#   #   ## Fallback name of the resulting metrics to use as metric name in case
#   #   ## the __name__ property of the query results is empty.
#   #   # name = "promql"
#   #
#   #   ## Query to execute
#   #   query = 'prometheus_http_requests_total{job="prometheus"}'
#   #
#   #   ## Range parameters relative to the gathering time with positive values
#   #   ## refer to BEFORE and negative to AFTER the gathering time
#   #   start = "5m"
#   #   # end = "0s"
#   #   step = "1m"
#   #
#   #   ## Limit for the number of results returned by the server with zero
#   #   ## meaning no limit
#   #   # limit = 0


# # RAS plugin exposes counter metrics for Machine Check Errors provided by RASDaemon (sqlite3 output is required).
# # This plugin ONLY supports Linux on 386, amd64, arm, and arm64
# [[inputs.ras]]
#   ## Optional path to RASDaemon sqlite3 database.
#   ## Default: /var/lib/rasdaemon/ras-mc_event.db
#   # db_path = ""


# # Read metrics from one or many redis servers
# [[inputs.redis]]
#   ## specify servers via a url matching:
#   ##  [protocol://][username:password]@address[:port]
#   ##  e.g.
#   ##    tcp://localhost:6379
#   ##    tcp://username:password@192.168.99.100
#   ##    unix:///var/run/redis.sock
#   ##
#   ## If no servers are specified, then localhost is used as the host.
#   ## If no port is specified, 6379 is used
#   servers = ["tcp://localhost:6379"]
#
#   ## Optional. Specify redis commands to retrieve values
#   # [[inputs.redis.commands]]
#   #   # The command to run where each argument is a separate element
#   #   command = ["get", "sample-key"]
#   #   # The field to store the result in
#   #   field = "sample-key-value"
#   #   # The type of the result
#   #   # Can be "string", "integer", or "float"
#   #   type = "string"
#
#   ## Specify username and password for ACL auth (Redis 6.0+). You can add this
#   ## to the server URI above or specify it here. The values here take
#   ## precedence.
#   # username = ""
#   # password = ""
#
#   ## Optional TLS Config
#   ## Check tls/config.go ClientConfig for more options
#   # tls_enable = true
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = true


# # Riemann protobuff listener
# [[inputs.riemann_listener]]
#   ## URL to listen on
#   ## Default is "tcp://:5555"
#   #  service_address = "tcp://:8094"
#   #  service_address = "tcp://127.0.0.1:http"
#   #  service_address = "tcp4://:8094"
#   #  service_address = "tcp6://:8094"
#   #  service_address = "tcp6://[2001:db8::1]:8094"
#
#   ## Maximum number of concurrent connections.
#   ## 0 (default) is unlimited.
#   #  max_connections = 1024
#   ## Read timeout.
#   ## 0 (default) is unlimited.
#   #  read_timeout = "30s"
#   ## Optional TLS configuration.
#   #  tls_cert = "/etc/telegraf/cert.pem"
#   #  tls_key  = "/etc/telegraf/key.pem"
#   ## Enables client authentication if set.
#   #  tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#   ## Maximum socket buffer size (in bytes when no unit specified).
#   #  read_buffer_size = "64KiB"
#   ## Period between keep alive probes.
#   ## 0 disables keep alive probes.
#   ## Defaults to the OS configuration.
#   #  keep_alive_period = "5m"


# # Plugin for retrieving data from Siemens PLCs via the S7 protocol (RFC1006)
# [[inputs.s7comm]]
#   ## Parameters to contact the PLC (mandatory)
#   ## The server is in the <host>[:port] format where the port defaults to 102
#   ## if not explicitly specified.
#   server = "127.0.0.1:102"
#   rack = 0
#   slot = 0
#
#   ## Connection or drive type of S7 protocol
#   ## Available options are "PD" (programming  device), "OP" (operator panel) or "basic" (S7 basic communication).
#   # connection_type = "PD"
#
#   ## Max count of fields to be bundled in one batch-request. (PDU size)
#   # pdu_size = 20
#
#   ## Timeout for requests
#   # timeout = "10s"
#
#   ## Idle timeout for requests
#   # idle_timeout = "60s"
#
#   ## Log detailed connection messages for tracing issues
#   # log_level = "trace"
#
#   ## Metric definition(s)
#   [[inputs.s7comm.metric]]
#     ## Name of the measurement
#     # name = "s7comm"
#
#     ## Field definitions
#     ## name    - field name
#     ## address - indirect address "<area>.<type><address>[.extra]"
#     ##           area    - e.g. be "DB1" for data-block one
#     ##           type    - supported types are (uppercase)
#     ##                     X  -- bit, requires the bit-number as 'extra'
#     ##                           parameter
#     ##                     B  -- byte (8 bit)
#     ##                     C  -- character (8 bit)
#     ##                     W  -- word (16 bit)
#     ##                     DW -- double word (32 bit)
#     ##                     I  -- integer (16 bit)
#     ##                     DI -- double integer (32 bit)
#     ##                     LI -- long integer (64 bit) only S7-1200 S7-1500 suported
#     ##                     R  -- IEEE 754 real floating point number (32 bit)
#     ##                     LR -- IEEE 754 long real floating point number (64 bit) only S7-1200 S7-1500 suported
#     ##                     DT -- date-time, always converted to unix timestamp
#     ##                           with nano-second precision
#     ##                     S  -- string, requires the maximum length of the
#     ##                           string as 'extra' parameter
#     ##           address - start address to read if not specified otherwise
#     ##                     in the type field
#     ##           extra   - extra parameter e.g. for the bit and string type
#     fields = [
#       { name="rpm",             address="DB1.R4"    },
#       { name="status_ok",       address="DB1.X2.1"  },
#       { name="last_error",      address="DB2.S1.32" },
#       { name="last_error_time", address="DB2.DT2"   },
#       { name="long_counter",    address="DB3.LR12"  }
#     ]
#
#     ## Tags assigned to the metric
#     # [inputs.s7comm.metric.tags]
#     #   device = "compressor"
#     #   location = "main building"


# ## DEPRECATED: The "sflow" plugin is deprecated in version 1.31.0 and will be removed in 1.40.0, use 'inputs.netflow' instead.
# # SFlow V5 Protocol Listener
# [[inputs.sflow]]
#   ## Address to listen for sFlow packets.
#   ##   example: service_address = "udp://:6343"
#   ##            service_address = "udp4://:6343"
#   ##            service_address = "udp6://:6343"
#   service_address = "udp://:6343"
#
#   ## Set the size of the operating system's receive buffer.
#   ##   example: read_buffer_size = "64KiB"
#   # read_buffer_size = ""


# # Receive SNMP traps
# [[inputs.snmp_trap]]
#   ## Transport, local address, and port to listen on.  Transport must
#   ## be "udp://".  Omit local address to listen on all interfaces.
#   ##   example: "udp://127.0.0.1:1234"
#   ##
#   ## Special permissions may be required to listen on a port less than
#   ## 1024.  See README.md for details
#   ##
#   # service_address = "udp://:162"
#   ##
#   ## Path to mib files
#   ## Used by the gosmi translator.
#   ## To add paths when translating with netsnmp, use the MIBDIRS environment variable
#   # path = ["/usr/share/snmp/mibs"]
#   ##
#   ## Timeout running snmptranslate command
#   ## Used by the netsnmp translator only
#   # timeout = "5s"
#   ## Snmp version; one of "1", "2c" or "3".
#   # version = "2c"
#   ## SNMPv3 authentication and encryption options.
#   ##
#   ## Security Name.
#   # sec_name = "myuser"
#   ## Authentication protocol; one of "MD5", "SHA", "SHA224", "SHA256", "SHA384", "SHA512" or "".
#   # auth_protocol = "MD5"
#   ## Authentication password.
#   # auth_password = "pass"
#   ## Security Level; one of "noAuthNoPriv", "authNoPriv", or "authPriv".
#   # sec_level = "authNoPriv"
#   ## Privacy protocol used for encrypted messages; one of "DES", "AES", "AES192", "AES192C", "AES256", "AES256C" or "".
#   # priv_protocol = ""
#   ## Privacy password used for encrypted messages.
#   # priv_password = ""


# # Generic socket listener capable of handling multiple socket types.
# [[inputs.socket_listener]]
#   ## URL to listen on
#   # service_address = "tcp://:8094"
#   # service_address = "tcp://127.0.0.1:http"
#   # service_address = "tcp4://:8094"
#   # service_address = "tcp6://:8094"
#   # service_address = "tcp6://[2001:db8::1]:8094"
#   # service_address = "udp://:8094"
#   # service_address = "udp4://:8094"
#   # service_address = "udp6://:8094"
#   # service_address = "unix:///tmp/telegraf.sock"
#   # service_address = "unixgram:///tmp/telegraf.sock"
#   # service_address = "vsock://cid:port"
#
#   ## Permission for unix sockets (only available on unix sockets)
#   ## This setting may not be respected by some platforms. To safely restrict
#   ## permissions it is recommended to place the socket into a previously
#   ## created directory with the desired permissions.
#   ##   ex: socket_mode = "777"
#   # socket_mode = ""
#
#   ## Maximum number of concurrent connections (only available on stream sockets like TCP)
#   ## Zero means unlimited.
#   # max_connections = 0
#
#   ## Read timeout (only available on stream sockets like TCP)
#   ## Zero means unlimited.
#   # read_timeout = "0s"
#
#   ## Optional TLS configuration (only available on stream sockets like TCP)
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key  = "/etc/telegraf/key.pem"
#   ## Enables client authentication if set.
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Maximum socket buffer size (in bytes when no unit specified)
#   ## For stream sockets, once the buffer fills up, the sender will start
#   ## backing up. For datagram sockets, once the buffer fills up, metrics will
#   ## start dropping. Defaults to the OS default.
#   # read_buffer_size = "64KiB"
#
#   ## Period between keep alive probes (only applies to TCP sockets)
#   ## Zero disables keep alive probes. Defaults to the OS configuration.
#   # keep_alive_period = "5m"
#
#   ## Content encoding for message payloads
#   ## Can be set to "gzip" for compressed payloads or "identity" for no encoding.
#   # content_encoding = "identity"
#
#   ## Maximum size of decoded packet (in bytes when no unit specified)
#   # max_decompression_size = "500MB"
#
#   ## List of allowed source IP addresses for incoming packets/messages.
#   ## If not specified or empty, all sources are allowed.
#   # allowed_sources = []
#
#   ## Message splitting strategy and corresponding settings for stream sockets
#   ## (tcp, tcp4, tcp6, unix or unixpacket). The setting is ignored for packet
#   ## listeners such as udp.
#   ## Available strategies are:
#   ##   newline         -- split at newlines (default)
#   ##   null            -- split at null bytes
#   ##   delimiter       -- split at delimiter byte-sequence in hex-format
#   ##                      given in `splitting_delimiter`
#   ##   fixed length    -- split after number of bytes given in `splitting_length`
#   ##   variable length -- split depending on length information received in the
#   ##                      data. The length field information is specified in
#   ##                      `splitting_length_field`.
#   # splitting_strategy = "newline"
#
#   ## Delimiter used to split received data to messages consumed by the parser.
#   ## The delimiter is a hex byte-sequence marking the end of a message
#   ## e.g. "0x0D0A", "x0d0a" or "0d0a" marks a Windows line-break (CR LF).
#   ## The value is case-insensitive and can be specified with "0x" or "x" prefix
#   ## or without.
#   ## Note: This setting is only used for splitting_strategy = "delimiter".
#   # splitting_delimiter = ""
#
#   ## Fixed length of a message in bytes.
#   ## Note: This setting is only used for splitting_strategy = "fixed length".
#   # splitting_length = 0
#
#   ## Specification of the length field contained in the data to split messages
#   ## with variable length. The specification contains the following fields:
#   ##  offset        -- start of length field in bytes from begin of data
#   ##  bytes         -- length of length field in bytes
#   ##  endianness    -- endianness of the value, either "be" for big endian or
#   ##                   "le" for little endian
#   ##  header_length -- total length of header to be skipped when passing
#   ##                   data on to the parser. If zero (default), the header
#   ##                   is passed on to the parser together with the message.
#   ## Note: This setting is only used for splitting_strategy = "variable length".
#   # splitting_length_field = {offset = 0, bytes = 0, endianness = "be", header_length = 0}
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   # data_format = "influx"


# # Read stats from one or more Solr servers or cores
# [[inputs.solr]]
#   ## specify a list of one or more Solr servers
#   servers = ["http://localhost:8983"]
#
#   ## specify a list of one or more Solr cores (default - all)
#   # cores = ["*"]
#
#   ## Optional HTTP Basic Auth Credentials
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Timeout for HTTP requests
#   # timeout = "5s"


# # Read metrics from SQL queries
# [[inputs.sql]]
#   ## Database Driver
#   ## See https://github.com/influxdata/telegraf/blob/master/docs/SQL_DRIVERS_INPUT.md for
#   ## a list of supported drivers.
#   driver = "mysql"
#
#   ## Data source name for connecting
#   ## The syntax and supported options depends on selected driver.
#   dsn = "username:password@tcp(mysqlserver:3307)/dbname?param=value"
#
#   ## Timeout for any operation
#   ## Note that the timeout for queries is per query not per gather.
#   # timeout = "5s"
#
#   ## Connection time limits
#   ## By default the maximum idle time and maximum lifetime of a connection is unlimited.
#   ## Connections will not be closed automatically. If you specify a positive time, the connections will be closed after
#   ## idling or existing for at least that amount of time, respectively.
#   # connection_max_idle_time = "0s"
#   # connection_max_life_time = "0s"
#
#   ## Connection count limits
#   ## By default the number of open connections is not limited and the number of maximum idle connections
#   ## will be inferred from the number of queries specified. If you specify a positive number for any of the
#   ## two options, connections will be closed when reaching the specified limit. The number of idle connections
#   ## will be clipped to the maximum number of connections limit if any.
#   # connection_max_open = 0
#   # connection_max_idle = auto
#
#   ## Specifies plugin behavior regarding disconnected servers
#   ## Available choices :
#   ##   - error: telegraf will return an error on startup if one the servers is unreachable
#   ##   - ignore: telegraf will ignore unreachable servers on both startup and gather
#   # disconnected_servers_behavior = "error"
#
#   [[inputs.sql.query]]
#     ## Query to perform on the server
#     query="SELECT user,state,latency,score FROM Scoreboard WHERE application > 0"
#     ## Alternatively to specifying the query directly you can select a file here containing the SQL query.
#     ## Only one of 'query' and 'query_script' can be specified!
#     # query_script = "/path/to/sql/script.sql"
#
#     ## Name of the measurement
#     ## In case both measurement and 'measurement_col' are given, the latter takes precedence.
#     # measurement = "sql"
#
#     ## Column name containing the name of the measurement
#     ## If given, this will take precedence over the 'measurement' setting. In case a query result
#     ## does not contain the specified column, we fall-back to the 'measurement' setting.
#     # measurement_column = ""
#
#     ## Column name containing the time of the measurement
#     ## If omitted, the time of the query will be used.
#     # time_column = ""
#
#     ## Format of the time contained in 'time_col'
#     ## The time must be 'unix', 'unix_ms', 'unix_us', 'unix_ns', or a golang time format.
#     ## See https://golang.org/pkg/time/#Time.Format for details.
#     # time_format = "unix"
#
#     ## Column names containing tags
#     ## An empty include list will reject all columns and an empty exclude list will not exclude any column.
#     ## I.e. by default no columns will be returned as tag and the tags are empty.
#     # tag_columns_include = []
#     # tag_columns_exclude = []
#
#     ## Column names containing fields (explicit types)
#     ## Convert the given columns to the corresponding type. Explicit type conversions take precedence over
#     ## the automatic (driver-based) conversion below.
#     ## NOTE: Columns should not be specified for multiple types or the resulting type is undefined.
#     # field_columns_float = []
#     # field_columns_int = []
#     # field_columns_uint = []
#     # field_columns_bool = []
#     # field_columns_string = []
#
#     ## Column names containing fields (automatic types)
#     ## An empty include list is equivalent to '[*]' and all returned columns will be accepted. An empty
#     ## exclude list will not exclude any column. I.e. by default all columns will be returned as fields.
#     ## NOTE: We rely on the database driver to perform automatic datatype conversion.
#     # field_columns_include = []
#     # field_columns_exclude = []


# # Read metrics from Microsoft SQL Server
# [[inputs.sqlserver]]
#   ## Specify instances to monitor with a list of connection strings.
#   ## All connection parameters are optional.
#   ## By default, the host is localhost, listening on default port, TCP 1433.
#   ##   for Windows, the user is the currently running AD user (SSO).
#   ##   See https://github.com/microsoft/go-mssqldb for detailed connection
#   ##   parameters, in particular, tls connections can be created like so:
#   ##   "encrypt=true;certificate=<cert>;hostNameInCertificate=<SqlServer host fqdn>"
#   servers = [
#     "Server=192.168.1.10;Port=1433;User Id=<user>;Password=<pw>;app name=telegraf;log=1;",
#   ]
#
#   ## Timeout for query execution operation
#   ## Note that the timeout for queries is per query not per gather.
#   ## 0 value means no timeout
#   # query_timeout = "0s"
#
#   ## Authentication method
#   ## valid methods: "connection_string", "AAD"
#   # auth_method = "connection_string"
#
#   ## ClientID is the is the client ID of the user assigned identity of the VM
#   ## that should be used to authenticate to the Azure SQL server.
#   # client_id = ""
#
#   ## "database_type" enables a specific set of queries depending on the database type. If specified, it replaces azuredb = true/false and query_version = 2
#   ## In the config file, the sql server plugin section should be repeated each with a set of servers for a specific database_type.
#   ## Possible values for database_type are - "SQLServer" or "AzureSQLDB" or "AzureSQLManagedInstance" or "AzureSQLPool"
#   database_type = "SQLServer"
#
#   ## A list of queries to include. If not specified, all the below listed queries are used.
#   include_query = []
#
#   ## A list of queries to explicitly ignore.
#   exclude_query = ["SQLServerAvailabilityReplicaStates", "SQLServerDatabaseReplicaStates"]
#
#   ## Force using the deprecated ADAL authentication method instead of the recommended
#   ## MSAL method. Setting this option is not recommended and only exists for backward
#   ## compatibility.
#   # use_deprecated_adal_authentication = false
#
#   ## Queries enabled by default for database_type = "SQLServer" are -
#   ## SQLServerPerformanceCounters, SQLServerWaitStatsCategorized, SQLServerDatabaseIO, SQLServerProperties, SQLServerMemoryClerks,
#   ## SQLServerSchedulers, SQLServerRequests, SQLServerVolumeSpace, SQLServerCpu, SQLServerAvailabilityReplicaStates, SQLServerDatabaseReplicaStates,
#   ## SQLServerRecentBackups
#
#   ## Queries enabled by default for database_type = "AzureSQLDB" are -
#   ## AzureSQLDBResourceStats, AzureSQLDBResourceGovernance, AzureSQLDBWaitStats, AzureSQLDBDatabaseIO, AzureSQLDBServerProperties,
#   ## AzureSQLDBOsWaitstats, AzureSQLDBMemoryClerks, AzureSQLDBPerformanceCounters, AzureSQLDBRequests, AzureSQLDBSchedulers
#
#   ## Queries enabled by default for database_type = "AzureSQLManagedInstance" are -
#   ## AzureSQLMIResourceStats, AzureSQLMIResourceGovernance, AzureSQLMIDatabaseIO, AzureSQLMIServerProperties, AzureSQLMIOsWaitstats,
#   ## AzureSQLMIMemoryClerks, AzureSQLMIPerformanceCounters, AzureSQLMIRequests, AzureSQLMISchedulers
#
#   ## Queries enabled by default for database_type = "AzureSQLPool" are -
#   ## AzureSQLPoolResourceStats, AzureSQLPoolResourceGovernance, AzureSQLPoolDatabaseIO, AzureSQLPoolWaitStats,
#   ## AzureSQLPoolMemoryClerks, AzureSQLPoolPerformanceCounters, AzureSQLPoolSchedulers
#
#   ## Queries enabled by default for database_type = "AzureArcSQLManagedInstance" are -
#   ## AzureSQLMIDatabaseIO, AzureSQLMIServerProperties, AzureSQLMIOsWaitstats,
#   ## AzureSQLMIMemoryClerks, AzureSQLMIPerformanceCounters, AzureSQLMIRequests, AzureSQLMISchedulers
#
#   ## Following are old config settings
#   ## You may use them only if you are using the earlier flavor of queries, however it is recommended to use
#   ## the new mechanism of identifying the database_type there by use it's corresponding queries
#
#   ## Optional parameter, setting this to 2 will use a new version
#   ## of the collection queries that break compatibility with the original
#   ## dashboards.
#   ## Version 2 - is compatible from SQL Server 2012 and later versions and also for SQL Azure DB
#   # query_version = 2
#
#   ## If you are using AzureDB, setting this to true will gather resource utilization metrics
#   # azuredb = false
#
#   ## Toggling this to true will emit an additional metric called "sqlserver_telegraf_health".
#   ## This metric tracks the count of attempted queries and successful queries for each SQL instance specified in "servers".
#   ## The purpose of this metric is to assist with identifying and diagnosing any connectivity or query issues.
#   ## This setting/metric is optional and is disabled by default.
#   # health_metric = false
#
#   ## Possible queries across different versions of the collectors
#   ## Queries enabled by default for specific Database Type
#
#   ## database_type =  AzureSQLDB  by default collects the following queries
#   ## - AzureSQLDBWaitStats
#   ## - AzureSQLDBResourceStats
#   ## - AzureSQLDBResourceGovernance
#   ## - AzureSQLDBDatabaseIO
#   ## - AzureSQLDBServerProperties
#   ## - AzureSQLDBOsWaitstats
#   ## - AzureSQLDBMemoryClerks
#   ## - AzureSQLDBPerformanceCounters
#   ## - AzureSQLDBRequests
#   ## - AzureSQLDBSchedulers
#
#   ## database_type =  AzureSQLManagedInstance by default collects the following queries
#   ## - AzureSQLMIResourceStats
#   ## - AzureSQLMIResourceGovernance
#   ## - AzureSQLMIDatabaseIO
#   ## - AzureSQLMIServerProperties
#   ## - AzureSQLMIOsWaitstats
#   ## - AzureSQLMIMemoryClerks
#   ## - AzureSQLMIPerformanceCounters
#   ## - AzureSQLMIRequests
#   ## - AzureSQLMISchedulers
#
#   ## database_type =  AzureSQLPool by default collects the following queries
#   ## - AzureSQLPoolResourceStats
#   ## - AzureSQLPoolResourceGovernance
#   ## - AzureSQLPoolDatabaseIO
#   ## - AzureSQLPoolOsWaitStats,
#   ## - AzureSQLPoolMemoryClerks
#   ## - AzureSQLPoolPerformanceCounters
#   ## - AzureSQLPoolSchedulers
#
#   ## database_type =  SQLServer by default collects the following queries
#   ## - SQLServerPerformanceCounters
#   ## - SQLServerWaitStatsCategorized
#   ## - SQLServerDatabaseIO
#   ## - SQLServerProperties
#   ## - SQLServerMemoryClerks
#   ## - SQLServerSchedulers
#   ## - SQLServerRequests
#   ## - SQLServerVolumeSpace
#   ## - SQLServerCpu
#   ## - SQLServerRecentBackups
#   ## and following as optional (if mentioned in the include_query list)
#   ## - SQLServerAvailabilityReplicaStates
#   ## - SQLServerDatabaseReplicaStates
#
#   ## Maximum number of open connections to the database, 0 allows the driver to decide.
#   # max_open_connections = 0
#
#   ## Maximum number of idle connections in the connection pool, 0 allows the driver to decide.
#   # max_idle_connections = 0


# # Statsd Server
# [[inputs.statsd]]
#   ## Protocol, must be "tcp", "udp4", "udp6" or "udp" (default=udp)
#   protocol = "udp"
#
#   ## MaxTCPConnection - applicable when protocol is set to tcp (default=250)
#   max_tcp_connections = 250
#
#   ## Enable TCP keep alive probes (default=false)
#   tcp_keep_alive = false
#
#   ## Specifies the keep-alive period for an active network connection.
#   ## Only applies to TCP sockets and will be ignored if tcp_keep_alive is false.
#   ## Defaults to the OS configuration.
#   # tcp_keep_alive_period = "2h"
#
#   ## Address and port to host UDP listener on
#   service_address = ":8125"
#
#   ## The following configuration options control when telegraf clears it's cache
#   ## of previous values. If set to false, then telegraf will only clear it's
#   ## cache when the daemon is restarted.
#   ## Reset gauges every interval (default=true)
#   delete_gauges = true
#   ## Reset counters every interval (default=true)
#   delete_counters = true
#   ## Reset sets every interval (default=true)
#   delete_sets = true
#   ## Reset timings & histograms every interval (default=true)
#   delete_timings = true
#
#   ## Enable aggregation temporality adds temporality=delta or temporality=commulative tag, and
#   ## start_time field, which adds the start time of the metric accumulation.
#   ## You should use this when using OpenTelemetry output.
#   # enable_aggregation_temporality = false
#
#   ## Percentiles to calculate for timing & histogram stats.
#   percentiles = [50.0, 90.0, 99.0, 99.9, 99.95, 100.0]
#
#   ## separator to use between elements of a statsd metric
#   metric_separator = "_"
#
#   ## Parses extensions to statsd in the datadog statsd format
#   ## currently supports metrics and datadog tags.
#   ## http://docs.datadoghq.com/guides/dogstatsd/
#   datadog_extensions = false
#
#   ## Parses distributions metric as specified in the datadog statsd format
#   ## https://docs.datadoghq.com/developers/metrics/types/?tab=distribution#definition
#   datadog_distributions = false
#
#   ## Keep or drop the container id as tag. Included as optional field
#   ## in DogStatsD protocol v1.2 if source is running in Kubernetes
#   ## https://docs.datadoghq.com/developers/dogstatsd/datagram_shell/?tab=metrics#dogstatsd-protocol-v12
#   datadog_keep_container_tag = false
#
#   ## Statsd data translation templates, more info can be read here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/TEMPLATE_PATTERN.md
#   # templates = [
#   #     "cpu.* measurement*"
#   # ]
#
#   ## Number of UDP messages allowed to queue up, once filled,
#   ## the statsd server will start dropping packets
#   allowed_pending_messages = 10000
#
#   ## Number of worker threads used to parse the incoming messages.
#   # number_workers_threads = 5
#
#   ## Number of timing/histogram values to track per-measurement in the
#   ## calculation of percentiles. Raising this limit increases the accuracy
#   ## of percentiles but also increases the memory usage and cpu time.
#   percentile_limit = 1000
#
#   ## Maximum socket buffer size in bytes, once the buffer fills up, metrics
#   ## will start dropping.  Defaults to the OS default.
#   # read_buffer_size = 65535
#
#   ## Max duration (TTL) for each metric to stay cached/reported without being updated.
#   # max_ttl = "10h"
#
#   ## Sanitize name method
#   ## By default, telegraf will pass names directly as they are received.
#   ## However, upstream statsd now does sanitization of names which can be
#   ## enabled by using the "upstream" method option. This option will a) replace
#   ## white space with '_', replace '/' with '-', and remove characters not
#   ## matching 'a-zA-Z_\-0-9\.;='.
#   #sanitize_name_method = ""
#
#   ## Replace dots (.) with underscore (_) and dashes (-) with
#   ## double underscore (__) in metric names.
#   # convert_names = false
#
#   ## Convert all numeric counters to float
#   ## Enabling this would ensure that both counters and guages are both emitted
#   ## as floats.
#   # float_counters = false
#
#   ## Emit timings `metric_<name>_count` field as float, the same as all other
#   ## histogram fields
#   # float_timings = false
#
#   ## Emit sets as float
#   # float_sets = false


# # Suricata stats and alerts plugin
# [[inputs.suricata]]
#   ## Source
#   ## Data sink for Suricata stats log. This is expected to be a filename of a
#   ## unix socket to be created for listening.
#   # source = "/var/run/suricata-stats.sock"
#
#   ## Delimiter
#   ## Used for flattening field keys, e.g. subitem "alert" of "detect" becomes
#   ## "detect_alert" when delimiter is "_".
#   # delimiter = "_"
#
#   ## Metric version
#   ## Version 1 only collects stats and optionally will look for alerts if
#   ## the configuration setting alerts is set to true.
#   ## Version 2 parses any event type message by default and produced metrics
#   ## under a single metric name using a tag to differentiate between event
#   ## types. The timestamp for the message is applied to the generated metric.
#   ## Additional tags and fields are included as well.
#   # version = "1"
#
#   ## Alerts
#   ## In metric version 1, only status is captured by default, alerts must be
#   ## turned on with this configuration option. This option does not apply for
#   ## metric version 2.
#   # alerts = false


# [[inputs.syslog]]
#   ## Protocol, address and port to host the syslog receiver.
#   ## If no host is specified, then localhost is used.
#   ## If no port is specified, 6514 is used (RFC5425#section-4.1).
#   ##   ex: server = "tcp://localhost:6514"
#   ##       server = "udp://:6514"
#   ##       server = "unix:///var/run/telegraf-syslog.sock"
#   ## When using tcp, consider using 'tcp4' or 'tcp6' to force the usage of IPv4
#   ## or IPV6 respectively. There are cases, where when not specified, a system
#   ## may force an IPv4 mapped IPv6 address.
#   server = "tcp://127.0.0.1:6514"
#
#   ## Permission for unix sockets (only available on unix sockets)
#   ## This setting may not be respected by some platforms. To safely restrict
#   ## permissions it is recommended to place the socket into a previously
#   ## created directory with the desired permissions.
#   ##   ex: socket_mode = "777"
#   # socket_mode = ""
#
#   ## Maximum number of concurrent connections (only available on stream sockets like TCP)
#   ## Zero means unlimited.
#   # max_connections = 0
#
#   ## Read timeout (only available on stream sockets like TCP)
#   ## Zero means unlimited.
#   # read_timeout = "0s"
#
#   ## Optional TLS configuration (only available on stream sockets like TCP)
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key  = "/etc/telegraf/key.pem"
#   ## Enables client authentication if set.
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Maximum socket buffer size (in bytes when no unit specified)
#   ## For stream sockets, once the buffer fills up, the sender will start
#   ## backing up. For datagram sockets, once the buffer fills up, metrics will
#   ## start dropping. Defaults to the OS default.
#   # read_buffer_size = "64KiB"
#
#   ## Period between keep alive probes (only applies to TCP sockets)
#   ## Zero disables keep alive probes. Defaults to the OS configuration.
#   # keep_alive_period = "5m"
#
#   ## Content encoding for message payloads
#   ## Can be set to "gzip" for compressed payloads or "identity" for no encoding.
#   # content_encoding = "identity"
#
#   ## Maximum size of decoded packet (in bytes when no unit specified)
#   # max_decompression_size = "500MB"
#
#   ## List of allowed source IP addresses for incoming packets/messages.
#   ## If not specified or empty, all sources are allowed.
#   # allowed_sources = []
#
#   ## Framing technique used for messages transport
#   ## Available settings are:
#   ##   octet-counting  -- see RFC5425#section-4.3.1 and RFC6587#section-3.4.1
#   ##   non-transparent -- see RFC6587#section-3.4.2
#   # framing = "octet-counting"
#
#   ## The trailer to be expected in case of non-transparent framing (default = "LF").
#   ## Must be one of "LF", or "NUL".
#   # trailer = "LF"
#
#   ## Whether to parse in best effort mode or not (default = false).
#   ## By default best effort parsing is off.
#   # best_effort = false
#
#   ## The RFC standard to use for message parsing
#   ## By default RFC5424 is used. RFC3164 only supports UDP transport (no streaming support)
#   ## Must be one of "RFC5424", or "RFC3164".
#   # syslog_standard = "RFC5424"
#
#   ## Character to prepend to SD-PARAMs (default = "_").
#   ## A syslog message can contain multiple parameters and multiple identifiers within structured data section.
#   ## Eg., [id1 name1="val1" name2="val2"][id2 name1="val1" nameA="valA"]
#   ## For each combination a field is created.
#   ## Its name is created concatenating identifier, sdparam_separator, and parameter name.
#   # sdparam_separator = "_"
#
#   ## Maximum length allowed for a single message (in bytes when no unit specified)
#   ## Only applies to octet-counting framing.
#   # max_message_length = "8KiB"


# # Gather information about systemd-unit states
# # This plugin ONLY supports Linux
# [[inputs.systemd_units]]
#   ## Pattern of units to collect
#   ## A space-separated list of unit-patterns including wildcards determining
#   ## the units to collect.
#   ##  ex: pattern = "telegraf* influxdb* user@*"
#   # pattern = "*"
#
#   ## Filter for a specific unit type
#   ## Available settings are: service, socket, target, device, mount,
#   ## automount, swap, timer, path, slice and scope
#   # unittype = "service"
#
#   ## Collect system or user scoped units
#   ##  ex: scope = "user"
#   # scope = "system"
#
#   ## Collect also units not loaded by systemd (disabled or static units)
#   ## Enabling this feature might introduce significant load when used with
#   ## unspecific patterns (such as '*') as systemd will need to load all
#   ## matching unit files.
#   # collect_disabled_units = false
#
#   ## Collect detailed information for the units
#   # details = false
#
#   ## Timeout for state-collection
#   # timeout = "5s"


# # Parse the new lines appended to a file
# [[inputs.tail]]
#   ## File names or a pattern to tail.
#   ## These accept standard unix glob matching rules, but with the addition of
#   ## ** as a "super asterisk". ie:
#   ##   "/var/log/**.log"  -> recursively find all .log files in /var/log
#   ##   "/var/log/*/*.log" -> find all .log files with a parent dir in /var/log
#   ##   "/var/log/apache.log" -> just tail the apache log file
#   ##   "/var/log/log[!1-2]*  -> tail files without 1-2
#   ##   "/var/log/log[^1-2]*  -> identical behavior as above
#   ## See https://github.com/gobwas/glob for more examples
#   ##
#   files = ["/var/mymetrics.out"]
#
#   ## Offset to start reading at
#   ## The following methods are available:
#   ##   beginning          -- start reading from the beginning of the file ignoring any persisted offset
#   ##   end                -- start reading from the end of the file ignoring any persisted offset
#   ##   saved-or-beginning -- use the persisted offset of the file or, if no offset persisted, start from the beginning of the file
#   ##   saved-or-end       -- use the persisted offset of the file or, if no offset persisted, start from the end of the file
#   # initial_read_offset = "saved-or-end"
#
#   ## Whether file is a named pipe
#   # pipe = false
#
#   ## Method used to watch for file updates.  Can be either "inotify" or "poll".
#   ## inotify is supported on linux, *bsd, and macOS, while Windows requires
#   ## using poll. Poll checks for changes every 250ms.
#   # watch_method = "inotify"
#
#   ## Maximum lines of the file to process that have not yet be written by the
#   ## output.  For best throughput set based on the number of metrics on each
#   ## line and the size of the output's metric_batch_size.
#   # max_undelivered_lines = 1000
#
#   ## Character encoding to use when interpreting the file contents.  Invalid
#   ## characters are replaced using the unicode replacement character.  When set
#   ## to the empty string the data is not decoded to text.
#   ##   ex: character_encoding = "utf-8"
#   ##       character_encoding = "utf-16le"
#   ##       character_encoding = "utf-16be"
#   ##       character_encoding = ""
#   # character_encoding = ""
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"
#
#   ## Set the tag that will contain the path of the tailed file. If you don't want this tag, set it to an empty string.
#   # path_tag = "path"
#
#   ## Filters to apply to files before generating metrics
#   ## "ansi_color" removes ANSI colors
#   # filters = []
#
#   ## multiline parser/codec
#   ## https://www.elastic.co/guide/en/logstash/2.4/plugins-filters-multiline.html
#   #[inputs.tail.multiline]
#     ## The pattern should be a regexp which matches what you believe to be an indicator that the field is part of an event consisting of multiple lines of log data.
#     #pattern = "^\s"
#
#     ## The field's value must be previous or next and indicates the relation to the
#     ## multi-line event.
#     #match_which_line = "previous"
#
#     ## The invert_match can be true or false (defaults to false).
#     ## If true, a message not matching the pattern will constitute a match of the multiline filter and the what will be applied. (vice-versa is also true)
#     #invert_match = false
#
#     ## The handling method for quoted text (defaults to 'ignore').
#     ## The following methods are available:
#     ##   ignore  -- do not consider quotation (default)
#     ##   single-quotes -- consider text quoted by single quotes (')
#     ##   double-quotes -- consider text quoted by double quotes (")
#     ##   backticks     -- consider text quoted by backticks (`)
#     ## When handling quotes, escaped quotes (e.g. \") are handled correctly.
#     #quotation = "ignore"
#
#     ## The preserve_newline option can be true or false (defaults to false).
#     ## If true, the newline character is preserved for multiline elements,
#     ## this is useful to preserve message-structure e.g. for logging outputs.
#     #preserve_newline = false
#
#     #After the specified timeout, this plugin sends the multiline event even if no new pattern is found to start a new event. The default is 5s.
#     #timeout = 5s


# ## Gather CPU metrics using Turbostat
# [[inputs.turbostat]]
#   ## Path to the Turbostat exectuable if not in the PATH
#   # path = "/usr/bin/turbostat"
#
#   ## Turbostat measurement interval
#   # interval = "10s"
#
#   ## Use sudo to run the Turbostat executable
#   # use_sudo = false


# # Read metrics from the Vault API
# [[inputs.vault]]
#   ## URL for the Vault agent
#   # url = "http://127.0.0.1:8200"
#
#   ## Use Vault token for authorization.
#   ## Vault token configuration is mandatory.
#   ## If both are empty or both are set, an error is thrown.
#   # token_file = "/path/to/auth/token"
#   ## OR
#   token = "s.CDDrgg5zPv5ssI0Z2P4qxJj2"
#
#   ## Set response_timeout (default 5 seconds)
#   # response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = /path/to/cafile
#   # tls_cert = /path/to/certfile
#   # tls_key = /path/to/keyfile


# # Read metrics from one or many vCenters
# [[inputs.vsphere]]
#   ## List of vCenter URLs to be monitored. These three lines must be uncommented
#   ## and edited for the plugin to work.
#   vcenters = [ "https://vcenter.local/sdk" ]
#   username = "user@corp.local"
#   password = "secret"
#
#   ## VMs
#   ## Typical VM metrics (if omitted or empty, all metrics are collected)
#   # vm_include = [ "/*/vm/**"] # Inventory path to VMs to collect (by default all are collected)
#   # vm_exclude = [] # Inventory paths to exclude
#   vm_metric_include = [
#     "cpu.demand.average",
#     "cpu.idle.summation",
#     "cpu.latency.average",
#     "cpu.readiness.average",
#     "cpu.ready.summation",
#     "cpu.run.summation",
#     "cpu.usagemhz.average",
#     "cpu.used.summation",
#     "cpu.wait.summation",
#     "mem.active.average",
#     "mem.granted.average",
#     "mem.latency.average",
#     "mem.swapin.average",
#     "mem.swapinRate.average",
#     "mem.swapout.average",
#     "mem.swapoutRate.average",
#     "mem.usage.average",
#     "mem.vmmemctl.average",
#     "net.bytesRx.average",
#     "net.bytesTx.average",
#     "net.droppedRx.summation",
#     "net.droppedTx.summation",
#     "net.usage.average",
#     "power.power.average",
#     "virtualDisk.numberReadAveraged.average",
#     "virtualDisk.numberWriteAveraged.average",
#     "virtualDisk.read.average",
#     "virtualDisk.readOIO.latest",
#     "virtualDisk.throughput.usage.average",
#     "virtualDisk.totalReadLatency.average",
#     "virtualDisk.totalWriteLatency.average",
#     "virtualDisk.write.average",
#     "virtualDisk.writeOIO.latest",
#     "sys.uptime.latest",
#   ]
#   # vm_metric_exclude = [] ## Nothing is excluded by default
#   # vm_instances = true ## true by default
#
#   ## Hosts
#   ## Typical host metrics (if omitted or empty, all metrics are collected)
#   # host_include = [ "/*/host/**"] # Inventory path to hosts to collect (by default all are collected)
#   # host_exclude [] # Inventory paths to exclude
#   host_metric_include = [
#     "cpu.coreUtilization.average",
#     "cpu.costop.summation",
#     "cpu.demand.average",
#     "cpu.idle.summation",
#     "cpu.latency.average",
#     "cpu.readiness.average",
#     "cpu.ready.summation",
#     "cpu.swapwait.summation",
#     "cpu.usage.average",
#     "cpu.usagemhz.average",
#     "cpu.used.summation",
#     "cpu.utilization.average",
#     "cpu.wait.summation",
#     "disk.deviceReadLatency.average",
#     "disk.deviceWriteLatency.average",
#     "disk.kernelReadLatency.average",
#     "disk.kernelWriteLatency.average",
#     "disk.numberReadAveraged.average",
#     "disk.numberWriteAveraged.average",
#     "disk.read.average",
#     "disk.totalReadLatency.average",
#     "disk.totalWriteLatency.average",
#     "disk.write.average",
#     "mem.active.average",
#     "mem.latency.average",
#     "mem.state.latest",
#     "mem.swapin.average",
#     "mem.swapinRate.average",
#     "mem.swapout.average",
#     "mem.swapoutRate.average",
#     "mem.totalCapacity.average",
#     "mem.usage.average",
#     "mem.vmmemctl.average",
#     "net.bytesRx.average",
#     "net.bytesTx.average",
#     "net.droppedRx.summation",
#     "net.droppedTx.summation",
#     "net.errorsRx.summation",
#     "net.errorsTx.summation",
#     "net.usage.average",
#     "power.power.average",
#     "storageAdapter.numberReadAveraged.average",
#     "storageAdapter.numberWriteAveraged.average",
#     "storageAdapter.read.average",
#     "storageAdapter.write.average",
#     "sys.uptime.latest",
#   ]
#     ## Collect IP addresses? Valid values are "ipv4" and "ipv6"
#   # ip_addresses = ["ipv6", "ipv4" ]
#
#   # host_metric_exclude = [] ## Nothing excluded by default
#   # host_instances = true ## true by default
#
#
#   ## Clusters
#   # cluster_include = [ "/*/host/**"] # Inventory path to clusters to collect (by default all are collected)
#   # cluster_exclude = [] # Inventory paths to exclude
#   # cluster_metric_include = [] ## if omitted or empty, all metrics are collected
#   # cluster_metric_exclude = [] ## Nothing excluded by default
#   # cluster_instances = false ## false by default
#
#   ## Resource Pools
#   # resource_pool_include = [ "/*/host/**"] # Inventory path to resource pools to collect (by default all are collected)
#   # resource_pool_exclude = [] # Inventory paths to exclude
#   # resource_pool_metric_include = [] ## if omitted or empty, all metrics are collected
#   # resource_pool_metric_exclude = [] ## Nothing excluded by default
#   # resource_pool_instances = false ## false by default
#
#   ## Datastores
#   # datastore_include = [ "/*/datastore/**"] # Inventory path to datastores to collect (by default all are collected)
#   # datastore_exclude = [] # Inventory paths to exclude
#   # datastore_metric_include = [] ## if omitted or empty, all metrics are collected
#   # datastore_metric_exclude = [] ## Nothing excluded by default
#   # datastore_instances = false ## false by default
#
#   ## Datacenters
#   # datacenter_include = [ "/*/host/**"] # Inventory path to clusters to collect (by default all are collected)
#   # datacenter_exclude = [] # Inventory paths to exclude
#   datacenter_metric_include = [] ## if omitted or empty, all metrics are collected
#   datacenter_metric_exclude = [ "*" ] ## Datacenters are not collected by default.
#   # datacenter_instances = false ## false by default
#
#   ## VSAN
#   # vsan_metric_include = [] ## if omitted or empty, all metrics are collected
#   # vsan_metric_exclude = [ "*" ] ## vSAN are not collected by default.
#   ## Whether to skip verifying vSAN metrics against the ones from GetSupportedEntityTypes API.
#   # vsan_metric_skip_verify = false ## false by default.
#
#   ## Interval for sampling vSAN performance metrics, can be reduced down to
#   ## 30 seconds for vSAN 8 U1.
#   # vsan_interval = "5m"
#
#   ## Plugin Settings
#   ## separator character to use for measurement and field names (default: "_")
#   # separator = "_"
#
#   ## number of objects to retrieve per query for realtime resources (vms and hosts)
#   ## set to 64 for vCenter 5.5 and 6.0 (default: 256)
#   # max_query_objects = 256
#
#   ## number of metrics to retrieve per query for non-realtime resources (clusters and datastores)
#   ## set to 64 for vCenter 5.5 and 6.0 (default: 256)
#   # max_query_metrics = 256
#
#   ## number of go routines to use for collection and discovery of objects and metrics
#   # collect_concurrency = 1
#   # discover_concurrency = 1
#
#   ## the interval before (re)discovering objects subject to metrics collection (default: 300s)
#   # object_discovery_interval = "300s"
#
#   ## timeout applies to any of the api request made to vcenter
#   # timeout = "60s"
#
#   ## When set to true, all samples are sent as integers. This makes the output
#   ## data types backwards compatible with Telegraf 1.9 or lower. Normally all
#   ## samples from vCenter, with the exception of percentages, are integer
#   ## values, but under some conditions, some averaging takes place internally in
#   ## the plugin. Setting this flag to "false" will send values as floats to
#   ## preserve the full precision when averaging takes place.
#   # use_int_samples = true
#
#   ## Custom attributes from vCenter can be very useful for queries in order to slice the
#   ## metrics along different dimension and for forming ad-hoc relationships. They are disabled
#   ## by default, since they can add a considerable amount of tags to the resulting metrics. To
#   ## enable, simply set custom_attribute_exclude to [] (empty set) and use custom_attribute_include
#   ## to select the attributes you want to include.
#   ## By default, since they can add a considerable amount of tags to the resulting metrics. To
#   ## enable, simply set custom_attribute_exclude to [] (empty set) and use custom_attribute_include
#   ## to select the attributes you want to include.
#   # custom_attribute_include = []
#   # custom_attribute_exclude = ["*"]
#
#   ## The number of vSphere 5 minute metric collection cycles to look back for non-realtime metrics. In
#   ## some versions (6.7, 7.0 and possible more), certain metrics, such as cluster metrics, may be reported
#   ## with a significant delay (>30min). If this happens, try increasing this number. Please note that increasing
#   ## it too much may cause performance issues.
#   # metric_lookback = 3
#
#   ## Optional SSL Config
#   # ssl_ca = "/path/to/cafile"
#   # ssl_cert = "/path/to/certfile"
#   # ssl_key = "/path/to/keyfile"
#   ## Use SSL but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## The Historical Interval value must match EXACTLY the interval in the daily
#   # "Interval Duration" found on the VCenter server under Configure > General > Statistics > Statistic intervals
#   # historical_interval = "5m"
#
#   ## Specifies plugin behavior regarding disconnected servers
#   ## Available choices :
#   ##   - error: telegraf will return an error on startup if one the servers is unreachable
#   ##   - ignore: telegraf will ignore unreachable servers on both startup and gather
#   # disconnected_servers_behavior = "error"
#
#   ## HTTP Proxy support
#   # use_system_proxy = true
#   # http_proxy_url = ""


# # A Webhooks Event collector
# [[inputs.webhooks]]
#   ## Address and port to host Webhook listener on
#   service_address = ":1619"
#
#   ## Maximum duration before timing out read of the request
#   # read_timeout = "10s"
#   ## Maximum duration before timing out write of the response
#   # write_timeout = "10s"
#
#   [inputs.webhooks.filestack]
#     path = "/filestack"
#
#     ## HTTP basic auth
#     #username = ""
#     #password = ""
#
#   [inputs.webhooks.github]
#     path = "/github"
#     # secret = ""
#
#     ## HTTP basic auth
#     #username = ""
#     #password = ""
#
#   [inputs.webhooks.mandrill]
#     path = "/mandrill"
#
#     ## HTTP basic auth
#     #username = ""
#     #password = ""
#
#   [inputs.webhooks.rollbar]
#     path = "/rollbar"
#
#     ## HTTP basic auth
#     #username = ""
#     #password = ""
#
#   [inputs.webhooks.papertrail]
#     path = "/papertrail"
#
#     ## HTTP basic auth
#     #username = ""
#     #password = ""
#
#   [inputs.webhooks.particle]
#     path = "/particle"
#
#     ## HTTP basic auth
#     #username = ""
#     #password = ""
#
#   [inputs.webhooks.artifactory]
#     path = "/artifactory"


# # Gather data from a Zipkin server including trace and timing data
# [[inputs.zipkin]]
#   ## URL path for span data
#   # path = "/api/v1/spans"
#
#   ## Port on which Telegraf listens
#   # port = 9411
#
#   ## Maximum duration before timing out read of the request
#   # read_timeout = "10s"
#   ## Maximum duration before timing out write of the response
#   # write_timeout = "10s"

