Deploy an Elasticsearch cluster

Apply a simple Elasticsearch cluster specification, with one Elasticsearch node:

If your Kubernetes cluster does not have any Kubernetes nodes with at least 2GiB of free memory, the pod will be stuck in Pending state. See Manage compute resources for more information about resource requirements and how to configure them.

cat <<EOF | kubectl apply -f -
apiVersion: elasticsearch.k8s.elastic.co/v1
kind: Elasticsearch
metadata:
  name: quickstart
spec:
  version: 8.15.3
  nodeSets:
  - name: default
    count: 1
    config:
      node.store.allow_mmap: false
EOF

The operator automatically creates and manages Kubernetes resources to achieve the desired state of the Elasticsearch cluster. It may take up to a few minutes until all the resources are created and the cluster is ready for use.

Setting node.store.allow_mmap: false has performance implications and should be tuned for production workloads as described in the Virtual memory section.

Monitor cluster health and creation progress

edit

Get an overview of the current Elasticsearch clusters in the Kubernetes cluster, including health, version and number of nodes:

kubectl get elasticsearch

NAME          HEALTH    NODES     VERSION   PHASE         AGE
quickstart    green     1         8.15.3     Ready         1m

When you create the cluster, there is no HEALTH status and the PHASE is empty. After a while, the PHASE turns into Ready, and HEALTH becomes green.

You can see that one Pod is in the process of being started:

kubectl get pods --selector='elasticsearch.k8s.elastic.co/cluster-name=quickstart'

NAME                      READY   STATUS    RESTARTS   AGE
quickstart-es-default-0   1/1     Running   0          79s

Access the logs for that Pod:

kubectl logs -f quickstart-es-default-0

Request Elasticsearch access

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A ClusterIP Service is automatically created for your cluster:

kubectl get service quickstart-es-http

NAME                 TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)    AGE
quickstart-es-http   ClusterIP   10.15.251.145   <none>        9200/TCP   34m

Get the credentials.

A default user named elastic is automatically created with the password stored in a Kubernetes secret:
```
PASSWORD=$(kubectl get secret quickstart-es-elastic-user -o go-template='{{.data.elastic | base64decode}}')
```

Request the Elasticsearch endpoint.

From inside the Kubernetes cluster:

curl -u "elastic:$PASSWORD" -k "https://quickstart-es-http:9200"

From your local workstation, use the following command in a separate terminal:

kubectl port-forward service/quickstart-es-http 9200

Then request localhost:

curl -u "elastic:$PASSWORD" -k "https://localhost:9200"

Disabling certificate verification using the -k flag is not recommended and should be used for testing purposes only. See: Setup your own certificate

{
  "name" : "quickstart-es-default-0",
  "cluster_name" : "quickstart",
  "cluster_uuid" : "XqWg0xIiRmmEBg4NMhnYPg",
  "version" : {...},
  "tagline" : "You Know, for Search"
}

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