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Grafana Enterprise Metrics configuration

Grafana Enterprise Metrics utilizes a configuration file that is a superset of the Cortex configuration file.

The following extensions are available in the Grafana Enterprise Metrics configuration:

Authentication

You can enable the built-in, token based authentication mechanism in Grafana Enterprise Metrics by adding the following code to your configuration file:

yaml
auth:
  type: enterprise

Admin backend storage

You need to configure Grafana Enterprise Metrics with a bucket that stores administration objects such as clusters, access policies, tokens, or licenses. Ideally, this bucket is separate from the bucket that stores the TSDB blocks.

If you do not configure the object-storage bucket or do so incorrectly, Grafana Enterprise Metrics is unable to find its license and warnings will be logged. Failure to find a license is not a fatal error to minimise operational disruption in the case of misconfiguration or license expiry.

The client that is used is configured using the same configuration options as configuring a blocks storage backend. All of the clients supported for blocks storage are also supported for the admin API.

To verify that you have configured the object-storage bucket correctly, see either the S3 / Minio backend if you are using an S3 compatible API, or Google Cloud Storage (GCS) backend if you are using Google Cloud Storage.

Below are snippets that can be included in your configuration to set up each of the common object storage backends:

S3 / Minio backend

yaml
admin_client:
  storage:
    type: s3
    s3:
      # The S3 bucket endpoint. It could be an AWS S3 endpoint listed at
      # https://docs.aws.amazon.com/general/latest/gr/s3.html or the address of an
      # S3-compatible service in hostname:port format.
      [endpoint: <string> | default = ""]

      # S3 bucket name
      [bucket_name: <string> | default = ""]

      # S3 secret access key
      [secret_access_key: <string> | default = ""]

      # S3 access key ID
      [access_key_id: <string> | default = ""]

      # If enabled, use http:// for the S3 endpoint instead of https://. This could
      # be useful in local dev/test environments while using an S3-compatible
      # backend storage, like Minio.
      [insecure: <boolean> | default = false]

Dynamic headers

To configure dynamic HTTP headers for the admin storage’s S3 / Minio backend, the following configuration can be used. Note that the poll interval controls how often the file is reloaded and there is a section on the format of the dynamic headers file.

yaml
admin_client:
  type: s3
  storage:
    s3:
      header_map_file_path: <path to header file>
      header_map_poll_interval: <duration string>

Google Cloud Storage (GCS) backend

yaml
admin_client:
  storage:
    type: gcs
    gcs:
      # GCS bucket name
      [bucket_name: <string> | default = ""]

      # JSON representing either a Google Developers Console client_credentials.json
      # file or a Google Developers service account key file. If empty, fallback to
      # Google default logic.
      [service_account: <string> | default = ""]

Blocks storage

Grafana Enterprise Metrics extends Cortex’s blocks storage configuration by those features:

Rate limiting of list calls

List calls to a storage bucket can be rate limited. The blocks-storage.bucket-rate-limit.limit configuration option specifies how often per second a list call can be made before being rate limited. The blocks-storage.bucket-rate-limit.burst configuration option specifies the burst size. If blocks-storage.bucket-rate-limit.limit is smaller than or is equal to zero (the default) no rate limiting is applied. The snippet below shows how this can be set in your configuration file for an S3 backend:

yaml
blocks_storage:
  backend:                 s3
  bucket_rate_limit:       100
  bucket_rate_limit_burst: 1

Dynamic headers for S3 / Minio backend

To configure dynamic HTTP headers for the blocks storage’s S3 / Minio backend, the following configuration can be used. Note that the poll interval controls how often the file is reloaded and there is a section on the format of the dynamic headers file.

yaml
blocks_storage:
  backend:                 s3
  s3:
    header_map_file_path: <path to header file>
    header_map_poll_interval: <duration string>

Compactor

Grafana Enterprise Metrics extends Cortex’s compactor-config features:

Time-sharding strategy

To enable time-based sharding in the compactor, use the following configuration option:

yaml
compactor:
  sharding_strategy: time-sharding
  compaction_concurrency: 4

When the compactor sharding strategy is time-sharding, a single compactor instance can parallelize the compaction of multiple groups of blocks up to and including compaction_concurrency concurrent compactions.

The workflow of a time-sharding compaction strategy is as follows:

  1. For each tenant that belongs to the compactor’s shard, the following steps occur:
    1. Find groups of compactable blocks, where each group’s time range doesn’t overlap with other groups
    2. Concurrently compact the groups of blocks, up until compaction_concurrency concurrent compactions.
    3. Repeat until the tenant has no remaining compactable blocks.
  2. Repeat until the compactor has compacted all of the tenants that belong to its shard.

Ruler

The Ruler is an optional service that executes PromQL queries in order to record rules and alerts. The ruler requires backend storage for the recording rules and alerts for each tenant.

Grafana Enterprise Metrics extends Cortex’s upstream ruler configuration by those features:

Remote-write forwarding

The following configuration options can be used to enable remote write rule groups and specify a desired directory to store the generated write-ahead log (WAL). To learn more see the remote-write rule forwarding documentation

yaml
ruler:
  remote_write:
    enabled: <bool. defaults to false>
    wal_dir: <directory path. defaults to ./wal>

Dynamic headers for S3 / Minio backend

To configure dynamic HTTP headers for the ruler’s S3 / Minio backend, the following configuration can be used. Note that the poll interval controls how often the file is reloaded and there is section on the format of the dynamic headers file.

yaml
ruler:
  storage:
    s3:
      header_map_file_path: <filename>
      header_map_poll_interval: <duration. defaults to 1m>

Dynamic headers configuration

A dynamic headers configuration file allows to configure HTTP headers, which can be dynamically changed during the runtime of Grafana Enterprise Metrics. It uses the YAML syntax and its format looks like this:

yaml
<header-name>: "header-value"
<second-header-name>: "second-header-value"

An example of specifying a bearer token for authentication could look like this:

yaml
Authorization: "Bearer my-secret-bearer-token"

Gateway

For information about the gateway and its configuration, refer to Gateway.