Try It Out
In this example we will deploy Kibana on a Kubernetes cluster using the Minimus Kibana Helm chart. Kibana will connect to an ECK-managed Elasticsearch instance and provide a web interface for search and analytics.
Step 1: Start Cluster
If you have a cluster to work with, skip this step. Otherwise, start a Minikube cluster. Deployment instructions
Step 2: Create Namespace
Create a namespace:
kubectl create ns eck-kibana
Step 3: Deploy the Helm Chart
Deploy the Minimus Helm chart:
helm install my-eck-kibana oci://helm.mini.dev/eck-kibana \
--version 0.19.1 \
--set eck-kibana.elasticsearchRef.name=<your-elasticsearch-name> \
-n eck-kibana \
--wait
If you want to override the chart's defaults, go to the Values tab, save a copy locally with your changes. Deploy the chart with your overrides using -f values.yaml:
helm install my-eck-kibana oci://helm.mini.dev/eck-kibana \
--version 0.19.1 \
-f values.yaml \
-n eck-kibana \
--wait
Step 4: Verify Kibana is Running
Confirm the chart deployed successfully and Kibana started:
kubectl get pods -n eck-kibana
You should see output similar to:
NAME READY STATUS RESTARTS AGE
eck-kibana-kb-xxxxxxxxx-xxxxx 1/1 Running 0 2m
Step 5: Test Kibana Health
Retrieve the Elasticsearch password from the Kubernetes secret:
ES_PASSWORD=$(kubectl get secret <your-elasticsearch-name>-es-elastic-user \
-n eck-kibana \
-o go-template='{{.data.elastic | base64decode}}')
Port-forward to the Kibana service:
kubectl port-forward svc/eck-kibana-kb-http 5601:5601 -n eck-kibana &
Verify Kibana is healthy:
curl -sk -u "elastic:$ES_PASSWORD" https://localhost:5601/api/status | jq '.status.overall.level'
You should see "available" indicating Kibana is healthy and ready to use. You can now open https://localhost:5601 in your browser and log in with the elastic user.
Step 6: Clean Up
Uninstall the chart and delete the namespace to remove all resources:
helm uninstall my-eck-kibana -n eck-kibana
kubectl delete namespace eck-kibana
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