![]() You can tune container memory and CPU usageīy configuring Kubernetes resource requests and limits,Īnd you can tune a WebLogic JVM heap usage Is automatically launched before WebLogic Server Pods are launched. WebLogic Server instances and for the short-lived introspector job that The operator creates a container in its own Pod for each domain’s You may need to experiment and make adjustmentsīased on monitoring resource usage in your environment. Requirements vary considerably between use cases. Light runtime workloads risks causing unacceptably slow startup times. CPU requirements are sometimes significantly higher.Tune memory high enough so that WebLogic JMS messagingĪpplications that generate large backlogs of unprocessedĬan expect JMS to efficiently cache the backlogs in memory.That require large amounts of in-memory processing To handle expected peak workloads for applications Requests and limits should be configured based on the expected traffic during peak usage. Where the optimal values depend on your workload, applications, and the Kubernetes environment. The CPU and memory requests and limits for WebLogic Server Pods usually need to be tuned ![]() Measuring JVM heap, Pod CPU, and Pod memory.Burstable pods and JDK active processor count calculation.Operator sample heap and resource configuration.Importance of setting heap size and memory resources.Java heap size and memory resource considerations.Setting resource requests and limits in a Domain or Cluster resource.Liveness and readiness probes customizationĭelete resources associated with the domain Provide access to a PersistentVolumeClaim Use OCI File Storage (FSS) for persistent volumes Install the operator and ingress controller
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