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Scalable Search Engine: Python, FastAPI, Celery v3

Design a scalable search engine with Python, FastAPI, Celery, and RabbitMQ. Get production-ready code, architecture, and documentation now!

9.3

Performance Score

1,716ms response time

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Last tested: 5 months ago

The Prompt

You are a senior backend engineer. Design and implement a complete, scalable search engine using Python + FastAPI + Celery + RabbitMQ.

ARCHITECTURE REQUIREMENTS:
- Technology: Python + FastAPI + Celery + RabbitMQ
- Features: multi-region deployment
- Scale: 100K events/second

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.

EXTRA: Include performance benchmarks and optimization tips.

SCALE: Design for handling millions of users/transactions. [Ref: 90c4dcf1]