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CMS & Chat System in Python: Non-Profit Backend | FastAPI

September 2024

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.

CMS & Chat System in Python: Non-Profit Backend | FastAPI

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

  • Article Management

    • Rich text editing with HTML sanitization
    • Content versioning
    • SEO metadata management
    • Automatic backups
  • Media System

    • Image optimization pipeline
    • CDN integration
    • Lazy loading
    • Responsive images

2. Real-time Communication

  • High-Performance Chat

    • WebSocket connections
    • Redis pub/sub system
    • Message queuing
    • Offline message storage
  • Notifications

    • Push notifications
    • Email integration
    • In-app alerts
    • Custom notification rules

3. Access Control

  • Advanced RBAC

    • Dynamic permission system
    • Role inheritance
    • Resource-level access control
    • Audit logging
  • 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.

Tags

Python Backend Development
FastAPI Framework
Docker Containerization
Nginx Web Server
OVH Cloud Infrastructure
Linux System Administration
WebSocket Integration
Redis Caching
PostgreSQL Database
Microservices Architecture
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