Day 32 Task: Launching your Kubernetes Cluster with Deployment

What is Deployment in k8s

A Deployment provides a configuration for updates for Pods and ReplicaSets.

You describe a desired state in a Deployment, and the Deployment Controller changes the actual state to the desired state at a controlled rate. You can define Deployments to create new replicas for scaling, or to remove existing Deployments and adopt all their resources with new Deployments.

Task:

Create one Deployment file to deploy a sample todo-app on K8s using "Auto-healing" and "Auto-Scaling" feature

To deploy the sample ToDo app on Kubernetes using Deployment, follow these steps:

Create a YAML file named deployment.yml with the following content:

 apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: todo-app
   labels:
     app: todo
 spec:
   replicas: 2
   selector:
     matchLabels:
       app: todo
   template:
     metadata:
       labels:
         app: todo
     spec:
       containers:
       - name: todo
         image: rishikeshops/todo-app
         ports:
         - containerPort: 3000

Apply the deployment to your k8s cluster by running:
```
 kubectl apply -f deployment.yml
```
Verify that the Deployment is created by running:
```
 kubectl get deployments
```
You should see something like this:

This shows that you have one Deployment named todo-app that has two replicas ready and up-to-date.
Verify that the Pods are running by running:
```
 kubectl get pods
```
You should see something like this:

This shows that you have two Pods named todo-app-<string> that are running and ready.

Conclusion

In this blog post, we learned how to launch a Kubernetes cluster with Deployment, a configuration that allows us to manage updates to Pods and ReplicaSets. We also deployed a sample ToDo app on Kubernetes using Deployment and enabled auto-healing and auto-scaling for it.

I hope you enjoyed this blog post and learned something new. If you have any questions or feedback, please feel free to comment below.