Multi-Tier-Application-Deploymen-With-Docker-and-K8s

Overview

This repository contains the configuration and setup for deploying a multi-tier application using Docker and Kubernetes. The project is designed to demonstrate how to build and deploy a scalable, fault-tolerant application architecture using modern containerization and orchestration technologies.

Project Components

1. Frontend Service (Nginx)

• Description: Serves the user interface for the application.
• Dockerfile: Configures the Docker image for the Nginx web server.
• Configuration: Includes nginx.conf to define server behavior and index.html for the static content served by Nginx.

2. Backend Service (Flask)

• Description: Handles business logic and API requests.
• Dockerfile: Configures the Docker image for the Flask application.
• Requirements: requirements.txt lists Python dependencies required by the Flask application.
• Application: app.py contains the Flask application code, implementing the API endpoints.

3. Database Service (MySQL)

• Description: Manages data storage for the application.
• Image: Uses the official MySQL image from Docker Hub.
• Configuration: Includes necessary environment variables for initializing the MySQL database.

Deployment

Docker Compose

The docker-compose.yml file defines and runs the multi-container Docker application. It includes:

• Frontend Service: Nginx, serving the static content.
• Backend Service: Flask application, handling API requests.
• Database Service: MySQL, managing the application data.
• Networks: Configures mynetwork to enable communication between services.

Kubernetes

Kubernetes manifests are provided to deploy the application to a Kubernetes cluster. The manifests include:

• Deployments: Define the deployment specifications for frontend, backend, and database services.
• Services: Define how each component is exposed and accessed within the cluster.
• ConfigMaps and Secrets: Manage configuration and sensitive data.
• Ingress: (If used) Provides external access to the frontend service, configured to handle routing and load balancing.

Features

• Auto-Scaling: Configured to scale application components based on demand.
• Load Balancing: Distributes incoming traffic across multiple instances of the services.
• Monitoring: Integrated monitoring for tracking application health and performance.

Getting Started

1. Build Docker Images:

   docker build -t your-dockerhub-username/frontend:latest .
   docker build -t your-dockerhub-username/backend:latest .