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Configuring CPU and memory limits for logging components

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You can configure both the CPU and memory limits for each of the logging components as needed.

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Configuring CPU and memory limits

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

Procedure

  1. Edit the ClusterLogging custom resource (CR) in the openshift-logging project:

    $ oc -n openshift-logging edit ClusterLogging instance
    apiVersion: "logging.openshift.io/v1"
kind: "ClusterLogging"
metadata:
  name: "instance"
  namespace: openshift-logging

...

spec:
  managementState: "Managed"
  logStore:
    type: "elasticsearch"
    elasticsearch:
      nodeCount: 3
      resources: (1)
        limits:
          memory: 16Gi
        requests:
          cpu: 200m
          memory: 16Gi
      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
  collection:
    logs:
      type: "fluentd"
      fluentd:
        resources: (3)
          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 visualizer as needed.
    3 Specify the CPU and memory limits and requests for the log collector as needed.