For each PostgreSQL instance, the operator provides an exporter of metrics for Prometheus via HTTP, on port 9187. The operator comes with a predefined set of metrics, as well as a highly configurable and customizable system to define additional queries via one or more ConfigMap objects - and, future versions, Secret too.

The exporter can be accessed as follows:

curl http://<pod ip>:9187/metrics

All monitoring queries are:

  • transactionally atomic (one transaction per query)
  • executed with the pg_monitor role

Please refer to the "Default roles" section in PostgreSQL documentation for details on the pg_monitor role.

User defined metrics

Users will be able to define metrics through the available interface that the operator provides. This interface is currently in beta state and only supports definition of custom queries as ConfigMap and Secret objects using a YAML file that is inspired by the queries.yaml file of the PostgreSQL Prometheus Exporter.

Queries must be defined in a ConfigMap to be referenced in the monitoring section of the Cluster definition, as in the following example:

kind: Cluster
  name: cluster-example
  instances: 3

    size: 1Gi

      - name: example-monitoring
        key: custom-queries

Specifically, the monitoring section looks for an array with the name customQueriesConfigMap, which, as the name suggests, needs a list of ConfigMap key references to be used as the source of custom queries.

For example:

apiVersion: v1
kind: ConfigMap
  namespace: default
  name: example-monitoring
  custom-queries: |
      query: "SELECT CASE WHEN NOT pg_is_in_recovery()
              THEN 0
              ELSE GREATEST (0,
                EXTRACT(EPOCH FROM (now() - pg_last_xact_replay_timestamp())))
              END AS lag"
      primary: true
        - lag:
            usage: "GAUGE"
            description: "Replication lag behind primary in seconds"

The object must have a name and be in the same namespace as the Cluster. Note that the above query will be executed on the primary node, with the following output.

# HELP custom_pg_replication_lag Replication lag behind primary in seconds
# TYPE custom_pg_replication_lag gauge
custom_pg_replication_lag 0

This framework enables the definition of custom metrics to monitor the database or the application inside the PostgreSQL cluster.