Deploy an Application to GKE(Google Kubernetes Engine)

Tech used:

Node.js
Docker
Kubernetes
GKE(Google Kubernetes Engine)
GCR(Google Container Registry)

Steps

Create a kubernetes cluster on GKE.

Setup Connection to created GKE cluster in with your local machine or cloud shell.

gcloud container clusters get-credentials <CLUSTER_NAME> --zone <ZONE> --project <PROJECT_ID>

Create a simple nodejs/express application.

Write Dockerfile for the application

FROM --platform=linux/amd64 node:14
WORKDIR /usr/app
COPY package.json .
RUN npm install
COPY . .
EXPOSE 80
CMD ["node","app.js"]

Build the Docker image

docker build -t us.gcr.io/<PROJECT_ID>/imagename:tag .

Authenticate to GCR
```
gcloud auth configure-docker
```
Push docker image to GCR(Google Container Registry)
```
docker push us.gcr.io/<PROJECT_ID>/imagename:tag
```

Test the application using docker.

docker run -d -p 3000:80 us.gcr.io/<PROJECT_ID>/imagename:tag

Write kubernetes manifest file for deployment. deploy.yml

apiVersion: apps/v1
kind: Deployment
metadata:
  name:  nodeappdeployment
  labels:
    type: backend
    app: nodeapp
spec:
  replicas: 1
  selector:
    matchLabels:
      type: backend
      app: nodeapp
  template:
    metadata:
      name: nodeapppod
      labels:
        type: backend
        app: nodeapp
    spec:
      containers:
        - name: nodecontainer
          image: us.gcr.io/<PROJECT_ID>/imagename:tag
          ports:
            - containerPort: 80

Write kubernetes manifest file for service. service.yml

kind: Service
apiVersion: v1
metadata:
  name: nodeapp-load-service
spec:
  ports:
    - port: 80 
      targetPort: 80
  selector:
    type: backend
    app: nodeapp  
  type: LoadBalancer

Apply manifest file to create deployment.
```
kubectl apply -f deploy.yml
```
Check status of the deployment.
```
kubectl get deploy
```
Apply manifest file to create load balancer service.
```
kubectl apply -f service.yml
```
Check status of service.
```
kubectl get svc
```
Check the external IP of the service in the browser.

Cleanup

kubectl delete -f deploy.yml
kubectl delete -f service.yml

Delete your GKE Cluster from GCP Console.

bashably/gke-demo

Deploy an Application to GKE(Google Kubernetes Engine)

Tech used:

Steps

Cleanup