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Udemy Clone - Microservices Architecture

Below is a proposed microservices architecture for a Udemy-like platform. Each service is designed to handle a specific functionality to ensure scalability, maintainability, and modularity.

1. Auth Service ✔️

  • Purpose: Manages user registration, authentication, and authorization.
  • Features:
    • User registration and login (using JWT).
    • Role-based authorization (e.g., student, instructor, admin).
  • Technologies: .NET Core Identity, Keycloak (optional).
  • Tools and Databases: PostgreSQL, Redis (for caching).

2. Course Management Service ✔️

  • Purpose: Handles creation, updating, and listing of courses.
  • Features:
    • Instructors can add and manage courses.
    • Courses can be categorized.
    • Search and filter functionality.
  • Tools and Databases: PostgreSQL, Elasticsearch (for search).

3. Video Management Service

  • Purpose: Manages course video uploads, storage, and playback.
  • Features:
    • Upload videos (integrate with S3 or Azure Blob Storage).
    • Generate playback URLs for video streaming.
  • Tools and Databases: FFmpeg (for video transcoding), MongoDB (for metadata).

4. Order and Payment Service

  • Purpose: Handles course purchases and payment processing.
  • Features:
    • Integration with payment gateways (e.g., Stripe, PayPal, or Iyzico).
    • Track user purchase history.
  • Additional: Purchased courses are added to the user’s account.
  • Tools and Databases: PostgreSQL, Redis (for caching).

5. Notification Service

  • Purpose: Sends email or real-time notifications to users.
  • Features:
    • Email notification after course purchase.
    • Real-time notifications for new courses.
  • Technologies: RabbitMQ or Azure Service Bus for messaging.
  • Tools and Databases: SendGrid (for email), SignalR (for real-time).

6. Statistics and Reporting Service

  • Purpose: Provides analytics and insights for users and courses.
  • Features:
    • Track top-selling courses.
    • Measure time spent by users on courses.
  • Technologies: Redis (for caching), Elasticsearch (for log analysis).
  • Tools and Databases: PostgreSQL, Elasticsearch, Grafana (for visualization), Prometheus (for monitoring).

7. API Gateway Service

  • Purpose: Provides a single entry point to all microservices.
  • Features:
    • Route API requests to appropriate services.
    • Load balancing for services.
    • Authentication and authorization.
  • Technologies: Ocelot, YARP, or Azure API Gateway.
  • Tools and Databases: Redis (for caching).

8. Playback and Streaming Service

  • Purpose: Streams course videos with low latency.
  • Features:
    • Video transcoding (using FFmpeg).
    • Integration with CDN for optimized delivery.
  • Technologies: FFmpeg, Amazon CloudFront, Azure CDN.
  • Tools and Databases: MongoDB (for metadata).