adhit-r / adhit-r/niyama-policy-as-code

🚀 Performance & Scalability

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backend enhancement performance
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Beschreibung

## Performance and Scalability Improvements

### High Priority
- [ ] Implement database query optimization
- [ ] Add caching layer (Redis) for frequently accessed data
- [ ] Optimize frontend bundle size and loading performance
- [ ] Implement API rate limiting and throttling
- [ ] Add database connection pooling

### Medium Priority
- [ ] Implement horizontal scaling for backend services
- [ ] Add CDN for static assets
- [ ] Create performance monitoring and alerting
- [ ] Implement lazy loading for large datasets
- [ ] Add database indexing optimization

### Low Priority
- [ ] Implement microservices architecture
- [ ] Add auto-scaling capabilities
- [ ] Create performance benchmarking suite
- [ ] Implement distributed caching
- [ ] Add load balancing optimization

## Performance Targets
- Frontend load time: < 2 seconds
- API response time: < 200ms (95th percentile)
- Database query time: < 100ms
- Support for 10,000+ concurrent users
- 99.9% uptime SLA

## Monitoring Requirements
- Application performance monitoring (APM)
- Database performance metrics
- API response time tracking
- Error rate monitoring
- Resource utilization tracking

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