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Java Recommendation Engine: Scalable Design v4

Design a scalable Java recommendation engine with Spring & WebSocket. Get architecture, API, database, and deployment plans. Start building now!

9.5

Performance Score

2,092ms response time

91 views

0 copies

Last tested: 5 months ago

The Prompt

You are a senior backend engineer. Design and implement a complete, scalable recommendation engine using Java + Spring + WebSocket.

ARCHITECTURE REQUIREMENTS:
- Technology: Java + Spring + WebSocket
- Features: presence tracking
- 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.

NOTE: Focus on scalability, security, and best practices throughout. [Ref: b59e403e]