Deploy a Sample Application

Learn how to deploy a sample application on a DKP cluster

After you have a basic DKP cluster installed and ready to use, you might want to test operations by deploying a simple, sample application. This task is optional and is only intended to demonstrate the basic steps for deploying applications in a production environment. If you are configuring the DKP cluster for a production deployment, you can use this section to learn the deployment process. However, deploying applications on a production cluster typically involves more planning and custom configuration than covered in this example.

This tutorial shows how to deploy a simple application that connects to the redis service. The sample application used in this tutorial is a condensed form of the Kubernetes sample guestbook application.

Before You Begin

You must have a DKP cluster running.

Before running the commands below, ensure that your kubectl configuration references the DKP cluster on which you want to install the application. You can do this by setting the KUBECONFIG environment variable to the appropriate kubeconfig file’s location.

Deploy a Sample Application

Deploy the Redis pods and service by running the following commands:

CODE

kubectl apply -f https://k8s.io/examples/application/guestbook/redis-leader-deployment.yaml
kubectl apply -f https://k8s.io/examples/application/guestbook/redis-leader-service.yaml

Deploy Redis followers. The leader deployment created above is a single pod. Adding followers (or replicas) makes it highly available to meet greater traffic demands. You must then setup the guestbook application to communicate with the Redis followers to read the data. To do this, set up another service (the redis-follower-service.yaml below). Do this by running the following commands:
CODE
```
kubectl apply -f https://k8s.io/examples/application/guestbook/redis-follower-deployment.yaml
kubectl apply -f https://k8s.io/examples/application/guestbook/redis-follower-service.yaml
```

Deploy the web app frontend by running the following command:

CODE

kubectl apply -f https://k8s.io/examples/application/guestbook/frontend-deployment.yaml

Confirm that there are three frontend replicas running:
CODE
```
kubectl get pods -l app=guestbook -l tier=frontend
```

Apply the frontend Service:

CODE

kubectl apply -f https://k8s.io/examples/application/guestbook/frontend-service.yaml

Configure the frontend Service to use a cloud load balancer:

CODE

cat << EOF | kubectl apply -f -
apiVersion: v1
kind: Service
metadata:
  name: frontend
  labels:
    app: guestbook
    tier: frontend
spec:
  type: LoadBalancer
  ports:
  - port: 80
  selector:
    app: guestbook
    tier: frontend
EOF

View the frontend service via the LoadBalancer by running the following command to get the IP address for the frontend Service:
CODE
```
kubectl get service frontend
```
the external IP address, and load the page in your browser to view your guestbook.
The service properties provide the name of the load balancer. You can connect to the application by accessing that load balancer address in your web browser. Because this sample deployment creates a cloud load balancer, you should keep in mind that creating the load balancer can take up to a few minutes. You also might experience a slight delay before it is running properly due to DNS propagation and synchronization.

Remove the sample application by running the following commands:

CODE

kubectl delete deployment -l app=redis
kubectl delete service -l app=redis
kubectl delete deployment frontend
kubectl delete service frontend

WARNING: This step is required because the sample deployment attaches a cloud provider load balancer to the DKP cluster. Therefore, you must delete the sample application before tearing down the cluster.

Related Information

Example: Deploying PHP Guestbook application with Redis