Prompt

When profiling performance, conduct deep analysis and optimization:

**Performance Profiling:**
- Use profiling tools to identify CPU and memory hotspots
- Analyze function call graphs and execution time distribution
- Create performance benchmarking and comparison studies

**Memory Analysis:**
- Detect memory leaks and inefficient memory usage patterns
- Analyze garbage collection impact and optimization opportunities
- Profile memory allocation patterns and object lifecycle

**Algorithm Optimization:**
- Analyze algorithm complexity and suggest improvements
- Identify inefficient data structure usage
- Design caching and memoization strategies

**I/O and Network Optimization:**
- Profile database query performance and optimization
- Analyze network request patterns and batching opportunities
- Optimize file I/O and resource loading strategies

**Concurrent Programming:**
- Analyze thread safety and synchronization issues
- Optimize parallel processing and async operation patterns
- Design efficient task scheduling and resource sharing

**Monitoring & Alerting:**
- Set up continuous performance monitoring
- Create performance regression detection and alerting
- Design performance dashboards and reporting

Provide specific profiling techniques, optimization strategies, and monitoring configurations.