Kubernetes and Docker Exercises

This repository showcases two Docker and Kubernetes deployment exercises for Django applications. Each exercise increases in complexity, demonstrating key skills in container orchestration.

1. Basic Deployment: Django App

Overview

This project demonstrates how to deploy a simple Django application in Kubernetes using Docker. It involves creating a Docker image, pushing it to Docker Hub, and deploying it using a Kubernetes Deployment and Service.

Key Steps

• Build a Docker image for a Django project.
• Push the Docker image to Docker Hub.
• Create Kubernetes objects:
  • Deployment for Django.
  • LoadBalancer service to expose the application.
• Use kubectl port-forward for local access if necessary.

Commands

• Build Docker image: docker build -t . #IMPORTANT FINALL DOT docker push
• Apply kubernetes config: kubectl apply -f deployment.yaml kubectl apply -f loadbalancer-service.yaml

2. Intermediate Deployment: Django + PostgreSQL

Overview

This exercise connects a Django application to a PostgreSQL database, both managed within a Kubernetes cluster. The setup uses Docker containers for both services and Kubernetes StatefulSets for persistent PostgreSQL storage.

Key Steps

• Create a Docker image for Django, configured to use PostgreSQL.
• Set up a PostgreSQL database in Kubernetes with a StatefulSet.
• Deploy both the Django app and PostgreSQL using Kubernetes.
• Expose the Django service using a LoadBalancer or NodePort.

Kubernetes Objects

• Django Deployment: Runs the Django application using the Docker image.
• PostgreSQL StatefulSet: Provides persistent database storage.
• Service: LoadBalancer or NodePort to expose Django.

Commands

• Build Docker image: docker build -t . #IMPORTANT FINALL DOT docker push
• Apply kubernetes config: kubectl apply -f postgres-statefulset.yaml kubectl apply -f deployment.yaml kubectl apply -f loadbalancer-service.yaml