OpenShift Container Platform uses Kibana to display the log data collected by cluster logging.

You can scale Kibana for redundancy and configure the CPU and memory for your Kibana nodes.

Configuring CPU and memory limits

The cluster logging components allow for adjustments to both the CPU and memory limits.

Procedure
  1. Edit the Cluster Logging Custom Resource (CR) in the openshift-logging project:

    $ oc edit ClusterLogging instance -n openshift-logging
    apiVersion: "logging.openshift.io/v1"
    kind: "ClusterLogging"
    metadata:
      name: "instance"
    
    ....
    
    spec:
      managementState: "Managed"
      logStore:
        type: "elasticsearch"
        elasticsearch:
          nodeCount: 2
          resources: (1)
            limits:
              memory: 2Gi
            requests:
              cpu: 200m
              memory: 2Gi
          storage:
            storageClassName: "gp2"
            size: "200G"
          redundancyPolicy: "SingleRedundancy"
      visualization:
        type: "kibana"
        kibana:
          resources: (2)
            limits:
              memory: 1Gi
            requests:
              cpu: 500m
              memory: 1Gi
          proxy:
            resources: (2)
              limits:
                memory: 100Mi
              requests:
                cpu: 100m
                memory: 100Mi
          replicas: 2
      curation:
        type: "curator"
        curator:
          resources: (3)
            limits:
              memory: 200Mi
            requests:
              cpu: 200m
              memory: 200Mi
          schedule: "*/10 * * * *"
      collection:
        logs:
          type: "fluentd"
          fluentd:
            resources: (4)
              limits:
                memory: 736Mi
              requests:
                cpu: 200m
                memory: 736Mi
    1 Specify the CPU and memory limits and requests for the log store as needed. For Elasticsearch, you must adjust both the request value and the limit value.
    2 Specify the CPU and memory limits and requests for the log visualizater as needed.
    3 Specify the CPU and memory limits and requests for the log curator as needed.
    4 Specify the CPU and memory limits and requests for the log collector as needed.

Scaling redundancy for the log visualizer nodes

You can scale the Pod that hosts the log visualizer for redundancy.

Procedure
  1. Edit the Cluster Logging Custom Resource (CR) in the openshift-logging project:

    $ oc edit ClusterLogging instance
    $ oc edit ClusterLogging instance
    
    apiVersion: "logging.openshift.io/v1"
    kind: "ClusterLogging"
    metadata:
      name: "instance"
    
    ....
    
    spec:
        visualization:
          type: "kibana"
          kibana:
            replicas: 1 (1)
    1 Specify the number of Kibana nodes.