Skip to content

Latest commit

 

History

History
151 lines (115 loc) · 4.1 KB

File metadata and controls

151 lines (115 loc) · 4.1 KB

Performance Optimization Guide

This document outlines the performance optimizations implemented in HookDebug and provides guidelines for maintaining optimal performance.

Build Optimizations

Vite Configuration

  • Code Splitting: Vendor libraries are split into separate chunks for better caching
  • Asset Optimization: Images are inlined when small, compressed when large
  • Compression: Both Gzip and Brotli compression are enabled for production builds
  • Source Maps: Generated for production debugging while maintaining performance

Bundle Analysis

# Analyze bundle size and composition
npm run build:analyze

# Check if bundle size exceeds limits
npm run build:size

# Full build validation
npm run build:check

Performance Budgets

Bundle Size Limits

  • JavaScript: Maximum 250 kB per chunk
  • CSS: Maximum 50 kB total
  • Images: Maximum 100 kB total
  • Total Bundle: Maximum 500 kB

Performance Metrics

  • First Contentful Paint: < 2 seconds
  • Largest Contentful Paint: < 2.5 seconds
  • Cumulative Layout Shift: < 0.1
  • Total Blocking Time: < 300ms

React Optimizations

Lazy Loading

  • RequestDetails component is lazy-loaded to reduce initial bundle size
  • Components are loaded only when needed using React.lazy() and Suspense

Code Splitting

  • Vendor libraries (React, ReactDOM) are bundled separately
  • Socket.io client is in its own chunk
  • Utility libraries are grouped together

Docker Optimizations

Multi-stage Builds

  • Frontend Build Stage: Optimized Node.js Alpine image for building
  • Production Stage: Minimal runtime image with only necessary files
  • Security: Non-root user for container security

Production Dockerfile Features

  • Layer caching optimization
  • Health check endpoint
  • Resource limits and monitoring
  • Optimized dependency installation

CI/CD Performance

GitHub Actions

  • Parallel Jobs: Build, test, and security scans run in parallel
  • Caching: Node modules and Docker layers are cached
  • Artifact Management: Build outputs are stored with retention policies

Performance Monitoring

  • Daily Audits: Automated Lighthouse CI runs
  • Bundle Size Checks: Automated on every PR
  • Performance Budgets: Enforced in CI pipeline

Development Performance

Hot Module Replacement

  • Fast refresh enabled for React components
  • Optimized development server configuration
  • Efficient file watching and compilation

TypeScript Configuration

  • Incremental compilation enabled
  • Build info cached for faster subsequent builds
  • Strict mode enabled for early error detection

Production Performance

Server Optimizations

  • Health check endpoint for monitoring
  • Efficient SQLite database operations
  • Proper CORS and security headers
  • Session management optimization

Asset Delivery

  • Compressed static assets (gzip/brotli)
  • Proper caching headers
  • Optimized image formats
  • CDN-ready asset structure

Monitoring and Maintenance

Performance Scripts

# Run performance audit
npm run performance:audit

# Check performance budgets
npm run performance:budget

# Build and analyze
npm run build:analyze

# Full CI validation
npm run ci:validate

Metrics to Monitor

  • Bundle size over time
  • Build times
  • Runtime performance metrics
  • Memory usage
  • Network requests

Best Practices

  1. Regular Audits: Run performance audits before major releases
  2. Bundle Analysis: Monitor bundle size growth and composition
  3. Lazy Loading: Implement for non-critical components
  4. Caching: Leverage browser and CDN caching
  5. Monitoring: Set up continuous performance monitoring

Troubleshooting

Large Bundle Size

  • Check npm run build:analyze output
  • Identify heavy dependencies
  • Implement code splitting
  • Consider lazy loading

Slow Build Times

  • Clear node_modules and reinstall
  • Check TypeScript incremental compilation
  • Optimize Docker layer caching
  • Review GitHub Actions cache usage

Performance Regression

  • Compare Lighthouse CI results
  • Check bundle size trends
  • Review recent dependency updates
  • Analyze runtime performance metrics