Overview
This document describes the high-level system architecture of the Learnille platform.Architecture Principles
- Microservices: Modular, independently deployable services
- API-First: All interactions through well-defined APIs
- Scalability: Horizontal scaling for high availability
- Security: Defense in depth with multiple security layers
- Observability: Comprehensive logging, monitoring, and tracing
High-Level Architecture
Component Descriptions
Client Layer
- Web Client: React-based single-page application for learners and instructors
- Mobile App: React Native application for iOS and Android
- Admin Panel: React-based dashboard for platform administrators
API Gateway Layer
- API Gateway: Centralized entry point handling authentication, rate limiting, and request routing
- Load Balancer: Distributes traffic across service instances
- CDN: Content delivery network for static assets and media
Service Layer
- User Service: Manages user accounts, authentication, and profiles
- Course Service: Handles course creation, management, and content delivery
- Consultation Service: Manages one-on-one and group consultation sessions
- Payment Service: Processes payments and manages subscriptions
- Notification Service: Handles email, SMS, and in-app notifications
- Analytics Service: Tracks user behavior and generates insights
Data Layer
- PostgreSQL: Primary relational database for structured data
- Redis: In-memory cache for session data and frequently accessed information
- OpenSearch: Search engine for course content and user data
- S3 Storage: Object storage for files, images, and videos
Infrastructure Layer
- Docker / Dokploy: Application containerization and production lifecycle management
- Ingress: Dokploy-managed routing and TLS termination
- Cloudflare R2: High-performance S3 API object storage with zero egress fees
- New Relic: Centralized APM, transaction tracing, and structured log management
- Sentry: Real-time exception tracking and error reporting
Data Flow
- User Request: Client sends request to API Gateway
- Authentication: Gateway validates JWT token and user permissions
- Routing: Request routed to appropriate microservice
- Business Logic: Service processes request, interacts with databases
- Response: Service returns data through gateway to client
- Caching: Frequently accessed data cached in Redis
- Logging: All requests logged for monitoring and debugging
Security Architecture
- Authentication: JWT tokens with refresh mechanism
- Authorization: Role-based access control (RBAC)
- Encryption: TLS 1.3 for data in transit, AES-256 for data at rest
- API Security: Rate limiting, input validation, SQL injection prevention
- Network Security: VPC isolation, security groups, WAF
Scalability Considerations
- Horizontal Scaling: Services can be scaled independently
- Database Sharding: Data partitioned across multiple database instances
- CDN Integration: Static content served from edge locations
- Auto-scaling: Services scale based on CPU/memory usage
- Read Replicas: Database read operations distributed across replicas
Deployment Architecture
- CI/CD Pipeline: Automated testing and deployment
- Blue-Green Deployment: Zero-downtime deployments
- Feature Flags: Gradual feature rollout and rollback
- Environment Isolation: Separate environments for dev/staging/prod
Monitoring and Observability
- Metrics: Application performance, error rates, user activity
- Logging: Structured logs with correlation IDs
- Tracing: Distributed tracing for request flow
- Alerting: Automated alerts for system issues
- Dashboards: Real-time monitoring dashboards
Technology Stack
Frontend
- React 18
- TypeScript
- Zustand
- React Router
- Axios
Backend
- Node.js (Express/NestJS)
- Python (FastAPI)
- GraphQL/REST APIs
- JWT Authentication
Database
- PostgreSQL 15
- Redis 7
- OpenSearch-compatible Aiven service
- Cloudflare R2 (Object Storage)
Infrastructure
- Dokploy-managed Docker deployment
- Cloudflare/Dokploy ingress and TLS
DevOps & Observability
- GitHub Actions CI/CD
- New Relic APM & Log Management
- Sentry Exception Tracking
Future Considerations
- Micro-frontend Architecture: Independent frontend applications
- Event-Driven Architecture: Asynchronous communication between services
- Multi-Cloud Deployment: Hybrid cloud strategy
- AI/ML Integration: Machine learning for personalized learning
- Blockchain: Credential verification and NFT certificates