Documentation

Google Cloud Monitoring Output Plugin

This plugin writes metrics to a project in Google Cloud Monitoring (formerly called Stackdriver). Authentication with Google Cloud is required using either a service account or user credentials.

This plugin accesses APIs which are chargeable and might incur costs.

By default, Metrics are grouped by the namespace variable and metric key, eg: custom.googleapis.com/telegraf/system/load5. However, this is not the best practice. Setting metric_name_format = "official" will produce a more easily queried format of: metric_type_prefix/[namespace_]name_key/kind. If the global namespace is not set, it is omitted as well.

Introduced in: Telegraf v1.9.0 Tags: cloud, datastore OS support: all

Global configuration options

Plugins support additional global and plugin configuration settings for tasks such as modifying metrics, tags, and fields, creating aliases, and configuring plugin ordering. See CONFIGURATION.md for more details.

Secret-store support

This plugin supports secrets from secret-stores for the token option. See the secret-store documentation for more details on how to use them.

Configuration

# Configuration for Google Cloud Stackdriver to send metrics to
[[outputs.stackdriver]]
  ## GCP Project
  project = "erudite-bloom-151019"

  ## GCP access token for authorizing calls to Cloud Monitoring APIs
  # token = "@{gcp_auth:token}"

  ## 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"

Restrictions

Stackdriver does not support string values in custom metrics, any string fields will not be written.

The Stackdriver API does not allow writing points which are out of order, older than 24 hours, or more with resolution greater than than one per point minute. Since Telegraf writes the newest points first and moves backwards through the metric buffer, it may not be possible to write historical data after an interruption.

Points collected with greater than 1 minute precision may need to be aggregated before then can be written. Consider using the basicstats aggregator to do this.

Histograms are supported only via metrics generated via the Prometheus metric version 1 parser. The version 2 parser generates sparse metrics that would need to be heavily transformed before sending to Stackdriver.

Note that the plugin keeps an in-memory cache of the start times and last observed values of all COUNTER metrics in order to comply with the requirements of the stackdriver API. This cache is not GCed: if you remove a large number of counters from the input side, you may wish to restart telegraf to clear it.


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Stronger token security in InfluxDB OSS 2.9.0 — tokens are hashed on disk by default. Existing tokens are hashed on first startup and can’t be recovered afterward. Capture any plaintext tokens you still need before you upgrade.

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