_readme.md

After you've created a GKE cluster, run:

kubectl apply -f <(curl -s https://gist.githubusercontent.com/drewr/4bdc3540ecb6c4ddf8058c59692ea7a8/raw/es-k8s.yaml)`

That will give you a single-node instance accessible via elasticsearch:9200 around your cluster.

es-k8s.yaml

kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: es-data-claim
  annotations:
    volume.alpha.kubernetes.io/storage-class: default
spec:
  accessModes: [ReadWriteOnce]
  resources:
    requests:
      storage: 2Gi
---
apiVersion: v1
kind: Service
metadata:
  name: elasticsearch
  labels:
    name: elasticsearch
spec:
  ports:
    - port: 9200
  selector:
    app: elasticsearch
---
apiVersion: apps/v1beta1
kind: Deployment
metadata:
  name: elasticsearch
spec:
  replicas: 1
  revisionHistoryLimit: 2
  strategy:
    type: Recreate
  template:
    metadata:
      labels:
        app: elasticsearch
    spec:
      containers:
        - name: elasticsearch
          image: docker.elastic.co/elasticsearch/elasticsearch:6.3.1
          imagePullPolicy: Always
          ports:
            - containerPort: 9200
          env:
            - name: ES_JAVA_OPTS
              value: "-Xms128m -Xmx128m"
            - name: discovery.type
              value: single-node
          readinessProbe:
            httpGet:
              path: /
              port: 9200
            initialDelaySeconds: 30
            timeoutSeconds: 3
          livenessProbe:
            httpGet:
              path: /
              port: 9200
            initialDelaySeconds: 30
            timeoutSeconds: 3
          resources:
            requests:
              memory: 20Mi
              cpu: 200m
            limits:
              memory: 750Mi
              cpu: 1000m
          volumeMounts:
            - mountPath: /usr/share/elasticsearch/data
              name: es-data
      securityContext:
         runAsUser: 1000
         fsGroup: 1000
      volumes:
      - name: es-data
        persistentVolumeClaim:
          claimName: es-data-claim