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The Datadog Operator sends metrics and events to Datadog to monitor the Datadog Agent components deployment in the cluster.
For a list of all Kubernetes metrics collected by Datadog, see Kubernetes Data Collected.
Metric name | Metric type | Description |
---|---|---|
datadog.operator.agent.deployment.success | gauge | 1 if the desired number of Agent replicas equals the number of available Agent pods, 0 otherwise. |
datadog.operator.clusteragent.deployment.success | gauge | 1 if the desired number of Cluster Agent replicas equals the number of available Cluster Agent pods, 0 otherwise. |
datadog.operator.clusterchecksrunner.deployment.success | gauge | 1 if the desired number of Cluster Check Runner replicas equals the number of available Cluster Check Runner pods, 0 otherwise. |
datadog.operator.reconcile.success | gauge | 1 if the last recorded reconcile error is null, 0 otherwise. The reconcile_err tag describes the last recorded error. |
Note: The Datadog API and app keys are required to forward metrics to Datadog. They must be provided in the credentials
field in the Custom Resource definition.
The Datadog Operator exposes Golang and Controller metrics in OpenMetrics format. You can collect them with the OpenMetrics integration.
The OpenMetrics check is enabled by default through Autodiscovery annotations and is scheduled by the Agent running on the same node as the Datadog Operator Pod. See Kubernetes and Integrations.