Deploy a workload using the CLI¶

MKE supports deploying your Kubernetes objects on the command line using kubectl.

Deploy an NGINX server¶

Download and configure the client bundle.

Create a file called deployment.yaml that contains the following content:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx-deployment
spec:
  selector:
    matchLabels:
      app: nginx
  replicas: 2
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginx
        image: nginx:1.7.9
        ports:
        - containerPort: 80
      nodeSelector:
        kubernetes.io/os: linux
---
apiVersion: v1
kind: Service
metadata:
  name: nginx
  labels:
    app: nginx
spec:
  type: NodePort
  ports:
    - port: 80
      nodePort: 32768
  selector:
    app: nginx

Deploy the NGINX server:
```
kubectl apply -f deployment.yaml
```
Use the describe deployment option to review the deployment:
```
kubectl describe deployment nginx-deployment
```

Update the deployment¶

Update an existing deployment by applying an updated YAML file.

Increase the number of replicas to 4:

kubectl scale --replicas=4 deployment/nginx-deployment

Update the NGINX version to 1.8:

kubectl set image deployment/nginx-deployment nginx=nginx:1.8

Deploy the updated NGINX server:
```
kubectl apply -f update.yaml
```

Verify that the deployment was scaled up successfully by listing the deployments in the cluster:

kubectl get deployments

Expected output:

NAME                   DESIRED   CURRENT   UP-TO-DATE   AVAILABLE   AGE
nginx-deployment       4         4         4            4           2d

Verify that the pods are running the updated image:

kubectl describe deployment nginx-deployment | grep -i image

Expected output:

Image:        nginx:1.8