eck-stack

Deploy the full Elastic Stack (Elasticsearch, Kibana) as Kubernetes custom resources managed by the ECK Operator (Elastic Cloud on Kubernetes Operator). The ECK Stack Helm chart automates deployment and configuration of the Elastic Stack in Kubernetes clusters using Minimus images.

Prerequisites

A subscription to the Minimus images included in the chart
A running Kubernetes cluster (v1.21 or higher is recommended)
kubectl installed and configured
Helm v3.8 or higher for OCI support (Installation instructions)
Cluster Admin privileges
ECK Operator installed and running in your cluster (Installation instructions)

Note: The ECK Operator must be installed before deploying the ECK Stack chart. The operator manages the lifecycle of Elasticsearch and Kibana resources created by this chart.

Try It Out

In this example we will deploy the Elastic Stack on a Kubernetes cluster using the Minimus ECK Stack Helm chart. You will get a running Elasticsearch cluster and Kibana instance out of the box.

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-stack

Step 3: Deploy the Helm Chart

Deploy the Minimus Helm chart:

helm install my-eck-stack oci://helm.mini.dev/eck-stack \
  --version 0.19.1 \
  -n eck-stack \
  --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-stack oci://helm.mini.dev/eck-stack \
  --version 0.19.1 \
  -f values.yaml \
  -n eck-stack \
  --wait

Step 4: Verify ECK Stack is Running

Check the status of the Elasticsearch and Kibana resources:

kubectl get elasticsearch,kibana -n eck-stack

Expected output:

NAME                                                    HEALTH   NODES   VERSION   PHASE   AGE
elasticsearch.elasticsearch.k8s.elastic.co/elasticsearch   green    1       9.x.x     Ready   2m

NAME                                                 HEALTH   NODES   VERSION   AGE
kibana.kibana.k8s.elastic.co/eck-stack-eck-kibana      green    1       9.x.x     2m

Run the following and wait for the pods to show that their status is Running:

kubectl get pods -n eck-stack -w

Step 5: Test Elasticsearch Health

Retrieve the default elastic user password:

kubectl get secret elasticsearch-es-elastic-user -n eck-stack \
  -o go-template='{{.data.elastic | base64decode}}'

Port-forward to the Elasticsearch service:

kubectl port-forward svc/elasticsearch-es-http 9200 -n eck-stack

In a separate terminal, verify the cluster health:

curl -sSf -k -u "elastic:<password>" "https://localhost:9200/_cluster/health?pretty"

You should see "status" : "green" in the output.

Step 6: Access Kibana

Port-forward to the Kibana service:

kubectl port-forward svc/eck-stack-eck-kibana-kb-http 5601 -n eck-stack

Open https://localhost:5601 in your browser and log in with:

Username: elastic
Password: (from the previous step)

Step 7: Clean Up

Uninstall the chart and delete the namespace to remove all resources:

helm uninstall my-eck-stack -n eck-stack
kubectl delete namespace eck-stack

Terms & Info

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