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Google Cloud Storage is a popular object storage system. This guide demonstrates how to set up Cube to export logs to Google Cloud Storage.

Configuration

First, enable monitoring integrations in Cube.

Exporting logs

To export logs to Google Cloud Storage, start by creating a bucket for Cube logs and a service account that can write to it. Then, put the service account key in an environment variable under Settings → Environment variables, base64-encoded. The name must start with CUBE_CLOUD_MONITORING_ — only variables with that prefix are available to the Vector agent:
Finally, configure the gcp_cloud_storage sink in your vector.toml configuration file. Example configuration:
Commit the configuration for Vector, it should take effect in a minute. Then, navigate to your bucket and watch the logs coming.

Authentication

Authenticate with the credentials_base64 option, referencing the environment variable that holds the base64-encoded service account key, as in the example above. This is the only supported way to give the sink its credentials. credentials_base64 is specific to Cube — it does not appear in Vector’s own sink reference. Cube decodes the key and provides it to the Vector agent as a file named after the sink.
The sink name becomes the name of a Kubernetes object that carries the credentials file, so it must be lowercase alphanumeric characters and dashes only — no underscores. A sink named query_history_gcs will not get a credentials file; name it query-history-gcs instead.

Healthcheck

The example above sets healthcheck.enabled = false. Vector’s gcp_cloud_storage healthcheck sends a HEAD request to the bucket root, which requires the storage.objects.list permission — write access alone, such as roles/storage.objectCreator, does not grant it. Without this, the sink fails to start with a forbidden-healthcheck error even though it could write objects successfully. With the healthcheck disabled, the sink always starts and reports healthy, so check the bucket itself to confirm that data is arriving.

Exporting Query History

Add the query-history input to the sink to bring Query History export data to the same bucket.
Query History export additionally requires the Monitoring Integrations Tier of your deployment to be set to Medium (Up to 50 GB/mo). On a lower tier it fails silently — the sink reports healthy and the bucket stays empty, with no error logged anywhere.