About the Cluster Logging custom resource
To configure OKD 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. |