CPU Profiling

About

Identify performance bottlenecks and resource-intensive code paths using comprehensive CPU profiling techniques across browser and Node.js environments. This skill provides a structured framework for establishing performance baselines, interpreting flame graphs, and implementing algorithmic or architectural optimizations. It is particularly valuable for resolving performance regressions, reducing high CPU usage, and ensuring resource efficiency before scaling production applications.

Key Features

• Implementation patterns for caching, memoization, and algorithmic improvements
• Tooling guidance for Chrome DevTools, Firefox Profiler, and Node.js V8 Inspector
• Structured optimization workflows from baseline establishment to verification
• Analysis techniques for flame graphs, call stack interpretation, and self vs. total time
• Best practices for production monitoring and lightweight sampling profilers
• 17 GitHub stars

Use Cases

• Optimizing critical code paths and algorithms for better resource efficiency
• Diagnosing high CPU usage or slow execution times in web and backend applications
• Identifying and fixing performance regressions after new feature deployments