Microservice-Based E-Commerce Platform

This project is a fully containerized, microservice-based e-commerce platform designed to demonstrate modern software development practices. It includes user management, product management, and order management functionalities, all built using a microservice architecture. The system leverages Docker, Nginx, Golang, and Streamlit to create a scalable, secure, and efficient e-commerce solution.

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Project Overview

This project is a proof-of-concept e-commerce platform built using a microservice architecture. It consists of the following services:

• Frontend Service: A Streamlit-based web application for user interaction.
• User Service: Manages user-related operations (e.g., creating and listing users).
• Product Service: Handles product-related operations (e.g., adding and listing products).
• Order Service: Manages order-related operations (e.g., creating and listing orders).

All services are containerized using Docker and communicate through an Nginx reverse proxy, which acts as the central gateway for all incoming requests.

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Features

• Microservice Architecture: Each service is independent and can be developed, deployed, and scaled separately.
• Nginx Reverse Proxy: Centralized request handling, load balancing, and enhanced security.
• Dockerized Environment: Easy setup and deployment using Docker Compose.
• RESTful APIs: Each microservice exposes RESTful endpoints for seamless communication.
• Real-Time Frontend: Streamlit-based frontend for a user-friendly interface.
• Scalable Design: Ready for horizontal scaling with additional service instances.

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Architecture

The project follows a microservice architecture with the following components:

1. Frontend Service:

   • Built with Streamlit.
   • Provides a user interface for interacting with the platform.
   • Communicates with backend services via Nginx.

2. Backend Services:

   • User Service: Manages user data (Golang).
   • Product Service: Manages product data (Golang).
   • Order Service: Manages order data (Golang).
   • Each service runs in its own Docker container and exposes RESTful APIs.

3. Nginx Reverse Proxy:

   • Acts as the entry point for all incoming requests.
   • Routes requests to the appropriate backend service.
   • Provides load balancing and WebSocket support.

4. Docker Compose:

   • Manages the entire system as a multi-container application.
   • Simplifies development and deployment.

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Technologies Used

• Backend: Golang (Gin framework)
• Frontend: Streamlit (Python)
• Reverse Proxy: Nginx
• Containerization: Docker, Docker Compose
• API Communication: RESTful APIs
• Real-Time Communication: WebSocket (via Nginx)

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Getting Started

Prerequisites

Before running the project, ensure you have the following installed:

• Docker (Install Docker)
• Docker Compose (Install Docker Compose)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/microservice-ecommerce.git
   cd microservice-ecommerce

2. Build and start the containers using Docker Compose:

   docker-compose up --build

3. Access the application:

   • Frontend: Open your browser and go to http://localhost.
   • API Endpoints: Use the endpoints listed in the API Endpoints section.

Running the Project

Once the containers are up and running, you can access the application as follows:

1. Frontend:
   • Open your browser and go to http://localhost:8501.
   • This will load the Streamlit-based frontend where you can interact with the platform

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API Endpoints

User Service

• POST /api/users: Create a new user.
• GET /api/users: List all users.

Product Service

• POST /api/products: Add a new product.
• GET /api/products: List all products.

Order Service

• POST /api/orders: Create a new order.
• GET /api/orders: List all orders.

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Future Improvements

• Database Integration: Add persistent storage using databases like PostgreSQL or MongoDB.
• Authentication: Implement user authentication and authorization (e.g., JWT).
• Advanced Load Balancing: Use Kubernetes for orchestration and advanced load balancing.
• Logging and Monitoring: Integrate tools like Prometheus and Grafana for monitoring.
• Frontend Enhancements: Improve the Streamlit frontend with more features and a better UI/UX.

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Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Commit your changes and push to the branch.
4. Submit a pull request with a detailed description of your changes.

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License

This project is licensed under the MIT License. See the LICENSE file for details.