How to deploy heartbeat in multiple instances by K8S

Following the next tutorial, you can use Heartbeat in the K8S environment more conveniently.

First, create a k8s-heartbeat.yml file, and copy below code into the file.

apiVersion: v1
kind: PersistentVolume
metadata:
  name: pv
spec:
  capacity:
    storage: 200Mi
  accessModes:
    - ReadWriteMany
  storageClassName: heartbeat
  hostPath:
    path: /data
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: pvc
spec:
  accessModes:
    - ReadWriteMany
  resources:
    requests:
      storage: 200Mi
  storageClassName: heartbeat
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: backend
  labels:
    app: backend
spec:
  replicas: 3
  selector:
    matchLabels:
      app: backend
  template:
    metadata:
      labels:
        app: backend
    spec:
      initContainers:
        - name: backend-init
          image: busybox
          securityContext:
            runAsUser: 0
          volumeMounts:
            - name: volumes
              mountPath: /app/output
          command: ["sh", "-c", "chown -R 999:999 /app/output"]
      containers:
        - name: backend
          image: ghcr.io/au-heartbeat/heartbeat_backend:latest
          volumeMounts:
            - name: volumes
              mountPath: /app/output
      volumes:
        - name: volumes
          persistentVolumeClaim:
            claimName: pvc
---
apiVersion: v1
kind: Service
metadata:
  name: backend
spec:
  selector:
    app: backend
  ports:
    - protocol: TCP
      port: 4322
      targetPort: 4322
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: frontend
spec:
  selector:
    matchLabels:
      app: frontend
  template:
    metadata:
      labels:
        app: frontend
    spec:
      containers:
        - name: frontend
          image: ghcr.io/au-heartbeat/heartbeat_frontend:latest
---
apiVersion: v1
kind: Service
metadata:
  name: frontend
spec:
  selector:
    app: frontend
  ports:
    - protocol: TCP
      port: 4321
      targetPort: 80
  type: LoadBalancer

Then, execute this command

kubectl apply -f k8s-heartbeat.yml

If for some reason you need to restore the system to its pre-deployment state, you can use the following command.

kubectl delete -f k8s-heartbeat.yml