Coding gemini-1.5-pro ⭐ Featured

Build a Scalable Search Engine with Python

Design & implement a production-ready search engine using Python, FastAPI, Celery, & RabbitMQ. Get scalable architecture & code now!

9.3

Performance Score

3,131ms response time

77 views

0 copies

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: message persistence
- Scale: 10M messages/day

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.

ENHANCEMENT: Add real-world examples and case studies.

SCALE: Design for handling millions of users/transactions. [Ref: 95a27456]