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Recommendation Engine: Java, Spring, WebSocket v2

Design a scalable recommendation engine using Java, Spring, and WebSocket. Get production-ready code, architecture, and deployment strategies now!

9.4

Performance Score

1,019ms response time

72 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: auto-scaling
- 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.

BONUS: Add troubleshooting section and common pitfalls to avoid.

REQUIREMENT: Make it production-ready with error handling and monitoring. [Ref: 3e701b3a]