Elasticsearch on Container

This article provides step-by-step instructions for installing and configuring Elasticsearch within a container-based environment using Helm. This setup is designed to work alongside the OvalEdge application.

Prerequisites

Ensure the following before proceeding:

The OvalEdge application must already be deployed.
Write access to the namespace where OvalEdge is deployed.
Helm must be installed and properly configured.

Installation Steps

Download Deployment Files

ES-Service.yaml S3 link: https://ovaledge.s3.us-west-1.amazonaws.com/Elasticsearch/es-service.yaml
ES-Deployment.yaml S3 link: https://ovaledge.s3.us-west-1.amazonaws.com/Elasticsearch/es-deployment.yaml

Integrate Deployment Files into Helm Chart

Place the downloaded es-deployment.yaml and es-service.yaml files into the templates directory of your existing Helm chart used for OvalEdge deployment.
Update the values.yaml file to include the required Elasticsearch configuration values (resource limits, environment variables, volume mounts, etc.).

Deploy Elasticsearch

Execute the Helm command to deploy Elasticsearch using the updated Helm chart:
```
helm upgrade --install ovedge-app ./your-helm-chart-directory --namespace <namespace>
```
👉Replace <namespace> with the actual namespace where OvalEdge is deployed.

Verify Deployment

Verify that Elasticsearch is successfully deployed and accessible from the OvalEdge app pod by running a curl request to the health check endpoint:
```
curl http://<dns_or_ip>:9200/health/es/status
```
👉 Replace <dns_or_ip> with the actual DNS name or IP address of the deployment environment.

Ensure that all required ports are open and accessible.
Validate pod status:
```
kubectl get pods -n <namespace>
```

For troubleshooting, check logs:

kubectl logs <es-pod-name> -n <namespace>

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