1. Create a persistent storage volume to save Elasticsearch data. Various storage solutions for Kubernetes (such as hostPath, nfs, awsElasticBlockStore, etc.) can be used.
2. Create a ConfigMap to configure the required settings for the Elasticsearch instance. A ConfigMap can include any custom settings in the Elasticsearch configuration file (which I'm not dealing with here).
3. Create a StatefulSet as the deployment method of the Elasticsearch cluster. A StatefulSet ensures that each Elasticsearch node has a unique name and network identifier, and starts and shuts down nodes sequentially.
4. Specify the container image in the StatefulSet, as well as the storage and other configurations associated with the container.
5. Use the Service to expose the Elasticsearch cluster to the outside world. Service can be routed to any node in the cluster for load balancing and service discovery.