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Scalable Video Platform: Python, FastAPI, Celery

Design a scalable video streaming platform with Python, FastAPI, Celery, and RabbitMQ. Get production-ready code, docs, and architecture!

8.9

Performance Score

3,146ms response time
48 views
0 copies
Last tested: 5 months ago

The Prompt

You are a senior backend engineer. Design and implement a complete, scalable video streaming platform using Python + FastAPI + Celery + RabbitMQ.

ARCHITECTURE REQUIREMENTS:
- Technology: Python + FastAPI + Celery + RabbitMQ
- Features: file sharing
- Scale: 1M concurrent users

IMPLEMENTATION REQUIREMENTS:
1. Complete system architecture with diagrams
2. API design (REST/GraphQL/gRPC)
3. Real-time communication setup
4. Database design (SQL/NoSQL/hybrid)
5. Caching strategy (Redis/Memcached)
6. Message queue implementation
7. Authentication and authorization
8. Rate limiting and DDoS protection
9. Monitoring and alerting
10. Load testing and optimization
11. Deployment strategy (Docker, Kubernetes)
12. Disaster recovery plan

DELIVERABLES:
- Complete backend codebase
- API documentation
- Database schemas
- Infrastructure as Code (Terraform/CloudFormation)
- Docker/Kubernetes configs
- Monitoring dashboards
- Load testing scripts
- Architecture documentation

Generate a production-ready, scalable system with all components, documentation, and best practices.

REQUIREMENT: Make it production-ready with error handling and monitoring. [Ref: 62d3c1da]

Tags

design complete architecture monitoring documentation
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