If you already looked at the Elasticsearch on ECK documentation, then concepts and ideas described here might sound familiar to you. This is because the resource definitions in ECK share the same philosophy when it comes to:
- Customizing the Pod configuration
- Customizing the product configuration
- Managing HTTP settings
- Using secure settings
You can customize the Kibana pod using a Pod template.
The following example demonstrates how to create a Kibana deployment with custom node affinity and resource limits.
apiVersion: kibana.k8s.elastic.co/v1 kind: Kibana metadata: name: kibana-sample spec: version: 8.6.2 count: 1 elasticsearchRef: name: "elasticsearch-sample" podTemplate: spec: containers: - name: kibana resources: requests: memory: 1Gi cpu: 0.5 limits: memory: 2Gi cpu: 2 nodeSelector: type: frontend
The name of the container in the pod template must be
See Set compute resources for Kibana, Enterprise Search and APM Server for more information.
You can add your own Kibana settings to the
The following example demonstrates how to set the
elasticsearch.requestHeadersWhitelist configuration option:
apiVersion: kibana.k8s.elastic.co/v1 kind: Kibana metadata: name: kibana-sample spec: version: 8.6.2 count: 1 elasticsearchRef: name: "elasticsearch-sample" config: elasticsearch.requestHeadersWhitelist: - authorization
You may want to deploy more than one instance of Kibana. In this case all the instances must share the same encryption key. If you do not set one, the operator will generate one for you. If you would like to set your own encryption key, this can be done by setting the
xpack.security.encryptionKey property using a secure setting as described in the next section.
Note that while most reconfigurations of your Kibana instances will be carried out in rolling upgrade fashion, all version upgrades will cause Kibana downtime. This is due to the requirement to run only a single version of Kibana at any given time.
Intro to Kibana
ELK for Logs & Metrics