Advanced configuration

If you already looked at the Elasticsearch on ECK documentation, some of these concepts might sound familiar to you. The resource definitions in ECK share the same philosophy when you want to:

Customize the Pod configuration
Customize the product configuration
Manage HTTP settings
Use secure settings

Pod configuration

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You can customize the Kibana Pod using a Pod template.

The following example demonstrates how to create a Kibana deployment with custom node affinity, increased heap size, and resource limits.

apiVersion: kibana.k8s.elastic.co/v1
kind: Kibana
metadata:
  name: kibana-sample
spec:
  version: 8.17.0
  count: 1
  elasticsearchRef:
    name: "elasticsearch-sample"
  podTemplate:
    spec:
      containers:
      - name: kibana
        env:
          - name: NODE_OPTIONS
            value: "--max-old-space-size=2048"
        resources:
          requests:
            memory: 1Gi
            cpu: 0.5
          limits:
            memory: 2.5Gi
            cpu: 2
      nodeSelector:
        type: frontend

The name of the container in the Pod template must be kibana.

See Set compute resources for Kibana, Enterprise Search and APM Server for more information.

Kibana configuration

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You can add your own Kibana settings to the spec.config section.

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: 8.17.0
  count: 1
  elasticsearchRef:
    name: "elasticsearch-sample"
  config:
     elasticsearch.requestHeadersWhitelist:
     - authorization

Scale out a Kibana deployment

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To deploy more than one instance of Kibana, all the instances must share the same encryption key. To set your own encryption key, set the xpack.security.encryptionKey property using a secure setting, as described in Secure settings. If you don’t set any encryption key, the operator generates one for you.

While most reconfigurations of your Kibana instances are carried out in rolling upgrade fashion, all version upgrades will cause Kibana downtime. This happens because you can only run a single version of Kibana at any given time. For more information, see Upgrade Kibana.

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