The operator Helm chart includes the option of installing the necessary Kubernetes resources for Elastic Stack integration.

You are responsible for configuring Kibana and Elasticsearch, then configuring the operator Helm chart to send events to Elasticsearch. In turn, the operator Helm chart configures Logstash in the operator deployment to send the operator’s log contents to that Elasticsearch location.

Elastic Stack per-operator configuration

As part of the Elastic Stack integration, Logstash configuration occurs for each deployed operator instance. You can use the following configuration values to configure the integration:

  • Set elkIntegrationEnabled is true to enable the integration.
  • Set logStashImage to override the default version of Logstash to be used (logstash:6.8.23).
  • Set elasticSearchHost and elasticSearchPort to override the default location where Elasticsearch is running (elasticsearch2.default.svc.cluster.local:9201). This will configure Logstash to send the operator’s log contents there.
  • Set createLogStashConfigMap to true to use the default Logstash configuration, or set it to false and create a ConfigMap named weblogic-operator-logstash-cm in the operator’s namespace with your own Logstash pipeline configuration.

For additional details, see Elastic Stack integration Helm commands.

Sample to configure Elasticsearch and Kibana

This sample configures the Elasticsearch and Kibana deployments and services. It’s useful for trying out the operator in a Kubernetes cluster that doesn’t already have them configured.

It runs the Elastic Stack on the same host and port that the operator’s Helm chart defaults to, therefore, you only need to set elkIntegrationEnabled to true in your values.yaml file.

To control Elasticsearch memory parameters (Heap allocation and Enabling/Disabling swapping), open the file elasticsearch_and_kibana.yaml, search for env variables of the Elasticsearch container and change the values of the following:

  • ES_JAVA_OPTS: value may contain, for example, -Xms512m -Xmx512m to lower the default memory usage (please be aware that this value is applicable for demonstration purposes only and it is not the one recommended by Elasticsearch).
  • bootstrap.memory_lock: value may contain true (enables the usage of mlockall, to try to lock the process address space into RAM, preventing any Elasticsearch memory from being swapped out) or false (disables the usage of mlockall).

To install Elasticsearch and Kibana, use:

$ kubectl apply -f kubernetes/samples/scripts/elasticsearch-and-kibana/elasticsearch_and_kibana.yaml

To remove them, use:

$ kubectl delete -f kubernetes/samples/scripts/elasticsearch-and-kibana/elasticsearch_and_kibana.yaml