Welcome to the Performance Profiler documentation! 🚀 This guide will help you understand how to analyze and optimize application performance effectively.
Key Features
- Real-time monitoring of CPU, memory, and network usage
- Detailed call stack analysis for identifying bottlenecks
- Customizable profiling intervals to suit your workflow
Tools Included
✅ Chrome DevTools: Built-in performance analysis for web applications
✅ Node.js Profiler: For backend performance optimization
✅ Third-party integrations: Support for tools like New Relic and Datadog
How to Use
- Access the profiler interface via
/tools/profiler - Select the target application or service
- Run the profiling session and review the results
Best Practices
- Regularly check performance metrics during development
- Use the "Waterfall" view to analyze request timelines
- Optimize critical paths first for maximum impact
For more advanced techniques, check out our Performance Optimization Tips guide.