About the Cluster Logging Custom Resource

About the ClusterLogging custom resource

To configure OpenShift Container Platform cluster logging, you customize the ClusterLogging custom resource (CR).

About the ClusterLogging custom resource

To make changes to your cluster logging environment, create and modify the ClusterLogging custom resource (CR).

Instructions for creating or modifying a CR are provided in this documentation as appropriate.

The following is an example of a typical custom resource for cluster logging.

Sample ClusterLogging custom resource (CR)

apiVersion: "logging.openshift.io/v1"
kind: "ClusterLogging"
metadata:
  name: "instance" (1)
  namespace: "openshift-logging" (2)
spec:
  managementState: "Managed" (3)
  logStore:
    type: "elasticsearch" (4)
    retentionPolicy:
      application:
        maxAge: 1d
      infra:
        maxAge: 7d
      audit:
        maxAge: 7d
    elasticsearch:
      nodeCount: 3
      resources:
        limits:
          memory: 16Gi
        requests:
          cpu: 500m
          memory: 16Gi
      storage:
        storageClassName: "gp2"
        size: "200G"
      redundancyPolicy: "SingleRedundancy"
  visualization: (5)
    type: "kibana"
    kibana:
      resources:
        limits:
          memory: 736Mi
        requests:
          cpu: 100m
          memory: 736Mi
      replicas: 1
  curation: (6)
    type: "curator"
    curator:
      resources:
        limits:
          memory: 256Mi
        requests:
          cpu: 100m
          memory: 256Mi
      schedule: "30 3 * * *"
  collection: (7)
    logs:
      type: "fluentd"
      fluentd:
        resources:
          limits:
            memory: 736Mi
          requests:
            cpu: 100m
            memory: 736Mi

1	The CR name must be `instance`.
2	The CR must be installed to the `openshift-logging` namespace.
3	The Cluster Logging Operator management state. When set to `unmanaged` the operator is in an unsupported state and will not get updates.
4	Settings for the log store, including retention policy, the number of nodes, the resource requests and limits, and the storage class.
5	Settings for the visualizer, including the resource requests and limits, and the number of pod replicas.
6	Settings for curation, including the resource requests and limits, and curation schedule.
7	Settings for the log collector, including the resource requests and limits.

About the ClusterLogging custom resource