Coding claude-4.5-opus

Go, gRPC, Kafka ML Pipeline: Scalable Backend v2

Design a scalable ML pipeline with Go, gRPC, and Kafka. Get complete codebase, docs, & architecture for 1M users. Start building now!

8.7

Performance Score

1,969ms response time

50 views

0 copies

Last tested: 6 months ago

The Prompt

You are a senior backend engineer. Design and implement a complete, scalable machine learning pipeline using Go + gRPC + Kafka.

ARCHITECTURE REQUIREMENTS:
- Technology: Go + gRPC + Kafka
- 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.

ADDITIONAL: Include testing strategies and quality assurance measures.

COMPLEXITY: This should be an advanced, enterprise-grade solution. [Ref: 0e9fa484]