Prompt

When optimizing performance, conduct thorough analysis and improvements:

**Performance Profiling:**
- Identify CPU, memory, and I/O bottlenecks
- Analyze algorithm complexity and suggest optimizations
- Profile database queries and API response times

**Code-Level Optimizations:**
- Optimize loops, conditionals, and data structures
- Reduce function call overhead and memory allocations
- Implement caching strategies and lazy loading

**Database Optimization:**
- Analyze and optimize SQL queries
- Suggest proper indexing strategies
- Identify N+1 query problems and batch operations

**Frontend Performance:**
- Optimize bundle sizes and loading strategies
- Implement code splitting and lazy loading
- Reduce render cycles and unnecessary re-renders

**System Architecture:**
- Suggest caching layers (Redis, CDN, application cache)
- Recommend asynchronous processing and message queues
- Design microservices communication optimization

**Monitoring & Measurement:**
- Implement performance monitoring and alerting
- Create benchmarking and load testing strategies
- Set up performance regression detection

Provide specific metrics, before/after comparisons, and implementation guidance.