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Chapter 8. Configuring your Logging deployment
8.1. Configuring CPU and memory limits for logging components
You can configure both the CPU and memory limits for each of the logging components as needed.
8.1.1. Configuring CPU and memory limits
The logging components allow for adjustments to both the CPU and memory limits.
Procedure
Edit the
ClusterLogging
custom resource (CR) in theopenshift-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: 3 limits: memory: 100Mi requests: cpu: 100m memory: 100Mi replicas: 2 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 3
- Specify the CPU and memory limits and requests for the log visualizer as needed.
- 4
- Specify the CPU and memory limits and requests for the log collector as needed.