Ronil Rodrigues Cloud Journey

Launching Your Kubernetes Cluster with Deployment: A Step-by-Step Guide

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Ronil Rodrigues
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2 min read

Introduction

Congratulations on reaching Day-31 of your Kubernetes learning journey! Today, we'll focus on creating a Kubernetes Deployment, a powerful tool that provides configuration for managing updates to Pods and ReplicaSets. We'll also explore how to deploy a sample todo-app with auto-healing and auto-scaling features enabled.

What is Deployment in Kubernetes?

A Deployment in Kubernetes serves as a blueprint for managing the state of your application. It allows you to define a desired state, and the Deployment Controller ensures that the actual state aligns with it. This controlled process enables smooth updates, scaling, and even rollbacks if needed.

Task-1: Deploying a Sample Todo-App with Auto-Healing and Auto-Scaling

Step 1: Create a Deployment YAML File

In this task, we'll deploy a sample todo-app using a Deployment YAML file. For reference, you can find a sample file in the provided folder.

deployment.yml

apiVersion: apps/v1
kind: Deployment
metadata:
  name: todo-app-deployment
spec:
  replicas: 3
  selector:
    matchLabels:
      app: todo-app
  template:
    metadata:
      labels:
        app: todo-app
    spec:
      containers:
        - name: todo-app
          image: sample/todo-app:latest
          ports:
            - containerPort: 80

Step 2: Apply the Deployment

Open your terminal and run the following command:

kubectl apply -f deployment.yml

This command instructs Kubernetes to create the resources defined in the deployment.yml file. In this case, it will create a Deployment with three replicas of the todo-app.

Step 3: Verify the Deployment

To ensure everything is running smoothly, use the following command:

kubectl get deployments
kubectl get pods

This will display information about your deployments and pods. You should see your todo-app-deployment listed.

Step 4: Enable Auto-Healing and Auto-Scaling

By default, Kubernetes already provides basic auto-healing capabilities. However, you can further enhance this by adjusting parameters in your Deployment YAML file, such as setting minReadySeconds or maxUnavailable.

For auto-scaling, you can utilize Horizontal Pod Autoscalers (HPA) in conjunction with your Deployment.

Conclusion

Congratulations! You've successfully launched a Kubernetes Cluster with a Deployment. You've also learned how to deploy a sample todo-app with auto-healing and auto-scaling features enabled. Keep exploring Kubernetes and its powerful features to further enhance your container orchestration capabilities.

Remember, practice makes perfect. Experiment with different configurations and scenarios to deepen your understanding of Kubernetes.

Happy Deploying! 🚀

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