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-1:

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

• add a deployment.yml file (sample is kept in the folder for your reference)

• apply the deployment to your k8s (minikube) cluster by command kubectl apply -f deployment.yml

Deploy a Sample todo-app on Kubernetes

Let’s apply our Deployment configuration:

1. Clone the repository for your application:

     git clone https://github.com/anand-raval-git/django-todo.git
   

2. Create a Docker image from your Dockerfile:

    # Dockerfile
    FROM python:3.11
   
    WORKDIR /data
   
    RUN pip install django==3.2
   
    COPY . .
   
    RUN python manage.py migrate
   
    EXPOSE 8000
   
    CMD ["python","manage.py","runserver","0.0.0.0:8000"]
   

    docker build -t anandraval12/django-todo-app .
   

3. Push the Docker image to DockerHub:

    docker login
    docker push anandraval12/django-todo-app:latest
   

4. Create the Deployment YAML file

   Create deployment.yml file for deploying a todo-app:

    apiVersion: apps/v1
    kind: Deployment
    metadata:
      name: django-todo-deployment
      namespace: default
    spec:
      replicas: 1
      selector:
        matchLabels:
          app: django-todo
      template:
        metadata:
          labels:
            app: django-todo
        spec:
          containers:
          - name: django-todo
            image: anandraval12/django-todo-app:latest
            ports:
            - containerPort: 8000
   

5. Apply the Deployment to your Kubernetes (Minikube) cluster:

     kubectl apply -f deployment.yml
   

   

6. Verify the Pods are running:

     kubectl get pods
   

   

7. Test the application on the worker node:

     docker ps
     sudo docker exec -it <docker-container> bash
     curl -L http://127.0.0.1:8000
   

8. Test Auto-healing by deleting a Pod and ensuring a new one is created:

    kubectl delete pod <pod-name>
   

9. Delete the Deployment when done:

    kubectl delete -f deployment.yml
   

Thankyou for reading !!!!!!