CMS & Chat System in Python: Non-Profit Backend | FastAPI
Modern Python and FastAPI backend for non-profit organizations. CMS system with real-time chat, RBAC, and scalable architecture. Boost platform performance by 200% with microservices and Docker.

Website
Challenges
- Scalable RBAC system for thousands of users
- High-performance real-time chat
- Load balancing optimization for traffic growth
- Secure authentication and authorization
- Legacy systems integration
Implemented solutions
- Microservice architecture with Docker containerization
- WebSocket-based chat with Redis pub/sub
- Advanced RBAC system with JWT authentication
- Automatic scaling with monitoring
- API Gateway with rate limiting
- CDN integration for static assets
CMS & Chat System in Python: Non-Profit Backend | FastAPI
Project Overview
Comprehensive backend modernization for Peryskop Foundation, using Python and FastAPI to create a scalable non-profit platform. The system handles thousands of users with high performance and advanced content management features.
System Architecture
1. Content Management System
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Article Management
- Rich text editing with HTML sanitization
- Content versioning
- SEO metadata management
- Automatic backups
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Media System
- Image optimization pipeline
- CDN integration
- Lazy loading
- Responsive images
2. Real-time Communication
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High-Performance Chat
- WebSocket connections
- Redis pub/sub system
- Message queuing
- Offline message storage
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Notifications
- Push notifications
- Email integration
- In-app alerts
- Custom notification rules
3. Access Control
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Advanced RBAC
- Dynamic permission system
- Role inheritance
- Resource-level access control
- Audit logging
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Security Features
- JWT authentication
- Rate limiting
- DDOS protection
- SSL/TLS encryption
Technical Infrastructure
Backend Stack
-
Core Technologies
- Python 3.11+
- FastAPI framework
- PostgreSQL database
- Redis cache
-
DevOps
- Docker containers
- Nginx reverse proxy
- OVH cloud hosting
- CI/CD pipeline
Performance Metrics
- 200% system throughput increase
- 50ms average API response time
- 99.9% uptime
- Zero security incidents
Conclusions and Results
The system demonstrates the effectiveness of modern microservice architecture in the non-profit context, ensuring scalability and high performance while optimizing costs.