/cpu-profiling

name: cpu-profiling
description: >
  Profile CPU usage to identify hot spots and bottlenecks. Optimize code paths
  consuming most CPU time for better performance and resource efficiency.

CPU Profiling

Table of Contents

• [Overview](#overview)
• [When to Use](#when-to-use)
• [Quick Start](#quick-start)
• [Reference Guides](#reference-guides)
• [Best Practices](#best-practices)

Overview

CPU profiling identifies which functions consume most CPU time, enabling targeted optimization of expensive code paths.

When to Use

• High CPU usage
• Slow execution
• Performance regression
• Before optimization
• Production monitoring

Quick Start

Minimal working example:

Browser Profiling:

Chrome DevTools:
  Steps:
    1. DevTools → Performance
    2. Click record
    3. Perform action
    4. Stop recording
    5. Analyze flame chart
  Metrics:
    - Function call duration
    - Call frequency
    - Total time vs self time

Firefox Profiler:
  - Built-in performance profiler
  - Flame graphs
  - Timeline view
  - Export and share

React Profiler:
  - DevTools → Profiler
  - Component render times
  - Phase: render vs commit
  - Why component re-rendered
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the `references/` directory:

| Guide | Contents | |---|---| | [Profiling Tools](references/profiling-tools.md) | Profiling Tools | | [Analysis & Interpretation](references/analysis-interpretation.md) | Analysis & Interpretation | | [Optimization Process](references/optimization-process.md) | Optimization Process | | [Monitoring & Best Practices](references/monitoring-best-practices.md) | Monitoring & Best Practices |

Best Practices

✅ DO

• Follow established patterns and conventions
• Write clean, maintainable code
• Add appropriate documentation
• Test thoroughly before deploying

❌ DON'T

• Skip testing or validation
• Ignore error handling
• Hard-code configuration values