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Go, gRPC, Kafka ML Pipeline: Backend Code

Design & implement a scalable ML pipeline with Go, gRPC & Kafka. Get complete backend code, API docs, & infrastructure setup. Start building now!

9.1

Performance Score

2,855ms 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 machine learning pipeline using Go + gRPC + Kafka.

ARCHITECTURE REQUIREMENTS:
- Technology: Go + gRPC + Kafka
- Features: load balancing
- 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. [Ref: 34ba3f94]