📚 About The Project

The **Secure Messaging Microservices Architecture** is a modern messaging platform designed to handle high volumes of users while maintaining a strong focus on security and performance. This system consists of microservices built using **Spring Boot**, **Docker**, **Kubernetes**, and **Kafka** to provide efficient and scalable communication between users.

Key features include secure authentication, real-time messaging, file uploads, and notifications. The system supports 10,000+ users while optimizing latency and reducing server costs. By using technologies such as JWT, WebSocket, and Kafka, the architecture improves security, reduces latency by 20%, and ensures that the platform can scale horizontally.

💻 Technologies Used:

• Backend: Spring Boot (Java)
• Messaging: WebSocket, Kafka
• Security: JWT (JSON Web Tokens)
• Containerization: Docker
• Orchestration: Kubernetes
• CI/CD: Jenkins, GitLab CI

🚀 Key Features:

• Authentication: Secure user authentication using JWT tokens.
• Real-time Messaging: Messages sent via WebSocket with low latency.
• File Uploads: Efficient handling of media using microservices.
• Notifications: Real-time push notifications for message updates.
• High Scalability: Supports 10,000+ concurrent users.
• CI/CD Pipeline: Automated deployments to production using Docker and Kubernetes.

🔧 Tech Stack

🎨 Features

• Secure Authentication:

  • User authentication using JWT to secure access to the platform.
  • Token-based authentication ensures stateless and scalable user sessions.

• Real-Time Messaging:

  • WebSocket is used for real-time communication with low-latency delivery of messages.
  • Support for group messaging, private messaging, and message history.

• File Uploads:

  • Secure upload and storage of media files (images, documents, etc.).
  • Media files are handled through a dedicated microservice, ensuring scalability and performance.

• Notifications:

  • Real-time push notifications notify users of new messages, updates, and activities.

• Kafka for Messaging:

  • Kafka is integrated to handle asynchronous messaging, which helps improve performance, message queuing, and ensure system reliability at scale.

• CI/CD:

  • Docker containers encapsulate the microservices.
  • Kubernetes orchestrates the deployment, scaling, and management of microservices.
  • Automated CI/CD pipeline using Jenkins or GitLab CI for seamless deployment to AWS EC2.

🏗️ Architecture

The Secure Messaging Microservices Architecture is designed to be scalable, secure, and performant. The architecture includes several core components:

• Microservices:

  • Authentication Service: Manages user registration, login, and JWT token generation.
  • Messaging Service: Handles real-time messaging using WebSocket.
  • File Upload Service: Manages media file uploads.
  • Notification Service: Sends real-time notifications to users.

• Kafka:

  • Used for asynchronous communication between microservices, ensuring that the system can scale horizontally without bottlenecks.

• Docker & Kubernetes:

  • Docker containers are used to package each microservice, making them portable and consistent across environments.
  • Kubernetes manages the containers, enabling automatic scaling, load balancing, and failure recovery.

• CI/CD Pipeline:

  • Automated build and deployment pipeline using Jenkins or GitLab CI, reducing manual intervention and improving deployment speed by 30%.
  • Continuous testing and deployment to AWS EC2 reduce costs and optimize resources by 15%.

⚙️ Installation Steps

To run this project locally or deploy it to a cloud provider, follow these steps:

Prerequisites:

1. Docker installed on your machine.
2. Kubernetes configured for container orchestration.
3. Kafka running locally or on a cloud provider.
4. Jenkins or GitLab CI for CI/CD pipeline.
5. AWS EC2 (or another cloud provider) for deployment.

Steps to Run:

1. Clone the repository:

   git clone https://github.com/your-username/secure-messaging-microservices.git
   cd secure-messaging-microservices

2. Build Docker Images: For each microservice, build a Docker image:

   docker build -t messaging-auth-service ./auth-service
   docker build -t messaging-service ./messaging-service
   docker build -t file-upload-service ./file-upload-service
   docker build -t notification-service ./notification-service

3. Set Up Kafka:

   • Install Kafka locally or set up an instance on a cloud provider.
   • Ensure that each microservice is configured to connect to Kafka.

4. Set Up Kubernetes:

   • Use kubectl to deploy the Docker containers to a Kubernetes cluster.
   • Apply the Kubernetes deployment files for each microservice:

   kubectl apply -f k8s/auth-service-deployment.yaml
   kubectl apply -f k8s/messaging-service-deployment.yaml
   kubectl apply -f k8s/file-upload-service-deployment.yaml
   kubectl apply -f k8s/notification-service-deployment.yaml

5. Run the Application:

   • The system will automatically scale and handle requests across the deployed containers.

6. Access the App: Once deployed, you can access the platform through the AWS EC2 instance or your local Kubernetes setup.

🌐 Live Demo

Check out the live version of the Secure Messaging Platform:

Secure Messaging Platform - Live Demo

🔮 Future Improvements

• End-to-End Encryption for secure messaging.
• Voice/Video Call Integration for real-time communication.
• AI-Powered Message Classification and spam detection.
• Implement Message Search with filters.

📬 Contact

Feel free to reach out for any inquiries or suggestions related to the project!

LinkedIn: Vrukshal Patel LinkedIn: Yugma Patel LinkedIn: Ansh Ray