Grafana Phlare operator and user guideConfigure Grafana PhlareConfigure Grafana Phlare object storage backend

Configure Grafana Phlare object storage backend

Grafana Phlare can use different object storage services to persist blocks containing the profiles data. Blocks are flushed by ingesters on disk first then are uploaded to object store.

The long term storage is still in development and querying from object store is not yet implemented.

The supported backends are:

Under the hood Grafana Phlare uses Thanos’ object store client library, so their stated limitations apply.

Amazon S3

To use an AWS S3 or S3-compatible bucket for long term storage, you can find Grafana Phlare’s configuration parameters in the reference config. Apart from those it is also possible to supply configuration using [the well-known environment variables] of the AWS SDK.

At a minimum, you will need to provide a values for the bucket_name, endpoint, access_key_id, and secret_access_key keys.

Example using an AWS Bucket

This how one would configure a bucket in the AWS region eu-west-2:

storage:
 backend: s3
 s3:
   bucket_name: grafana-phlare-data
   region: eu-west-2
   endpoint: s3.eu-west-2.amazonaws.com
   access_key_id: MY_ACCESS_KEY
   secret_access_key: MY_SECRET_KEY

Example using a S3 compatible Bucket

This how one would configure a bucket on a locally running instance of MinIO:

storage:
 backend: s3
 s3:
   bucket_name: grafana-phlare-data
   endpoint: localhost:9000
   insecure: true
   access_key_id: grafana-phlare-data
   secret_access_key: grafana-phlare-data

Google Cloud Storage

To use a Google Cloud Storage (GCS) bucket for long term storage, you can find Grafana Phlare’s configuration parameters in the reference config.

At a minimum, you will need to provide a values for the bucket_name and a service account. To supply the service account there are two ways:

  • Use the GOOGLE_APPLICATION_CREDENTIALS environment variable to locate your application credentials.
  • Provide the content the service account key within the service_account parameter.

Example using a Google Cloud Storage bucket

This how one would configure a GCS bucket using the service_account parameter:

storage:
  backend: gcs
  gcs:
    bucket_name: grafana-phlare-data
    service_account: |
        {
          "type": "service_account",
          "project_id": "PROJECT_ID",
          "private_key_id": "KEY_ID",
          "private_key": "-----BEGIN PRIVATE KEY-----\nPRIVATE_KEY\n-----END PRIVATE KEY-----\n",
          "client_email": "SERVICE_ACCOUNT_EMAIL",
          "client_id": "CLIENT_ID",
          "auth_uri": "https://accounts.google.com/o/oauth2/auth",
          "token_uri": "https://accounts.google.com/o/oauth2/token",
          "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
          "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/SERVICE_ACCOUNT_EMAIL"
        }

Azure Blob Storage

To use a Google Cloud Storage (GCS) bucket for long term storage, you can find Grafana Phlare’s configuration parameters in the reference config.

If user_assigned_id is used, authentication is done via user-assigned managed identity.

Swift (OpenStack Object Storage)

To use a Swift (OpenStack Object Storage) bucket for long term storage, you can find Grafana Phlare’s configuration parameters in the reference config.

If the name of a user, project or tenant is used one must also specify its domain by ID or name. Various examples for OpenStack authentication can be found in the official documentation.