Utilizing Skaffold for Enhanced Elastic Search Integration

apiVersion: apps/v1
kind: Deployment
metadata:
  name: eks-deploy
spec:
  replicas: 1
  selector:
    matchLabels:
      app: eks
  template:
    metadata:
      labels:
        app: eks
    spec:
      containers:
        - name: elasticsearch
          image: docker.elastic.co/elasticsearch/elasticsearch:7.11.1

---
apiVersion: v1
kind: Service
metadata:
  name: eks-srv
spec:
  selector:
    app: eks
  ports:
    - name: eks-db
      protocol: TCP
      port: 9200
      targetPort: 9200
    

This specific code snippet is integral to deploying Elastic Search for my current project using skaffold. However, upon attempting to connect to the Elastic Search instance running on port 9200, I encounter an error stating that the connection has been rejected.

const client: NewTypes = new Client({
      node: 'http://localhost:9200'
    })

    interface Source {
      foo: string
    }
    const request: estypes.IndexRequest<Source> = {
      index: 'test',
      body: {
        foo: 'bar'
      }

    }
    await client.index(request);

I am unsure of what I may be doing incorrectly in this setup. Any insights or feedback would be greatly appreciated.

Answer №1

In order for Elasticsearch to function properly, it requires a Persistent Volume.

It's important to note that the configuration mentioned seems more suited for databases like MongoDB or PostgreSQL as opposed to Elasticsearch. Elasticsearch serves as a tool for managing, scaling, and analyzing large sets of data, thus requiring a unique configuration.

To successfully install Elastic Cloud on your system, you can use the provided command below:

kubectl create -f https://download.elastic.co/downloads/eck/2.0.0/crds.yaml
kubectl apply -f https://download.elastic.co/downloads/eck/2.0.0/operator.yaml

Once Elastic Cloud files are applied to Kubernetes, you can deploy an elastic cluster using the provided configuration file.

apiVersion: elasticsearch.k8s.elastic.co/v1
kind: Elasticsearch
metadata:
  name: quickstart
spec:
  version: 8.0.1
  nodeSets:
  - name: default
    count: 1
    config:
      node.store.allow_mmap: false

I recommend visiting this link for further information.

Moreover, I suggest reviewing the Helm Charts documentation on setting up Elasticsearch, as it only requires one simple line of code to integrate Elasticsearch into your cluster. Feel free to check out this link for guidance on setting up Elasticsearch with helm if you encounter any difficulties.

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