What are Garfish's performance optimization strategies, and how to improve the loading speed and runtime efficiency of micro-frontend applications?

Garfish provides various performance optimization strategies to help developers build high-performance micro-frontend applications.

Performance Optimization Strategies

1. Code Splitting and Lazy Loading

• Strategy: Split sub-application code into multiple chunks and load on demand
• Implementation:
  • Use Webpack's dynamic import
  • Configure route-level code splitting
  • Implement component-level lazy loading
• Advantages: Reduce initial loading time, improve first-screen performance
• Example:

javascript
// Dynamic import of sub-application
const SubApp = React.lazy(() => import('./SubApp'));

// Route-level code splitting
const routes = [
  {
    path: '/dashboard',
    component: React.lazy(() => import('./Dashboard'))
  }
];

2. Resource Preloading

• Strategy: Preload resources that may be needed in advance
• Implementation:
  • Use <link rel="preload"> to preload critical resources
  • Configure sub-application preloading strategies
  • Utilize idle time for preloading
• Advantages: Reduce user wait time, improve experience
• Example:

javascript
// Preload sub-application
Garfish.preloadApp('app1');

// Preload resources
<link rel="preload" href="/app1.js" as="script">

3. Cache Optimization

• Strategy: Utilize browser cache and Service Worker to cache resources
• Implementation:
  • Configure HTTP cache headers
  • Use Service Worker to cache static resources
  • Implement sub-application caching mechanism
• Advantages: Reduce network requests, improve loading speed
• Example:

javascript
// Service Worker caching
self.addEventListener('install', (event) => {
  event.waitUntil(
    caches.open('garfish-cache').then((cache) => {
      return cache.addAll([
        '/app1.js',
        '/app1.css'
      ]);
    })
  );
});

4. Parallel Loading

• Strategy: Load multiple sub-applications or resources simultaneously
• Implementation:
  • Use Promise.all for parallel loading
  • Configure parallel loading strategies
  • Optimize resource loading order
• Advantages: Shorten total loading time
• Example:

javascript
// Parallel loading of multiple sub-applications
await Promise.all([
  Garfish.loadApp('app1'),
  Garfish.loadApp('app2'),
  Garfish.loadApp('app3')
]);

5. Resource Compression

• Strategy: Compress JavaScript, CSS, images, and other resources
• Implementation:
  • Use Webpack compression plugins
  • Enable Gzip or Brotli compression
  • Optimize image formats and sizes
• Advantages: Reduce data transfer, speed up loading
• Example:

javascript
// Webpack compression configuration
module.exports = {
  optimization: {
    minimize: true,
    minimizer: [
      new TerserPlugin(),
      new CssMinimizerPlugin()
    ]
  }
};

Performance Monitoring

1. Loading Performance Monitoring

• Monitor sub-application loading time
• Statistics on resource loading success rate
• Analyze loading bottlenecks

2. Runtime Performance Monitoring

• Monitor memory usage
• Statistics on CPU usage
• Detect performance issues

3. User Experience Monitoring

• Statistics on first-screen rendering time
• Monitor interaction response time
• Collect user feedback

Best Practices

1. Performance Budget

• Set resource size limits
• Control loading time budget
• Regularly check performance metrics

2. Performance Testing

• Use Lighthouse for performance testing
• Conduct stress testing
• Simulate different network environments

3. Continuous Optimization

• Regularly analyze performance data
• Optimize hot code
• Update dependency versions

4. Performance Optimization Tools

• Use Chrome DevTools to analyze performance
• Use webpack-bundle-analyzer to analyze bundle size
• Use performance monitoring tools

Common Performance Issues and Solutions

1. Slow First-Screen Loading

• Cause: Too many resources, not optimized
• Solution: Code splitting, lazy loading, preloading

2. Memory Leaks

• Cause: Improper resource cleanup
• Solution: Improve lifecycle management, clean up promptly

3. Repeated Loading

• Cause: Improper caching strategy
• Solution: Optimize cache configuration, avoid duplicate requests

4. Rendering Lag

• Cause: Heavy computation, many DOM operations
• Solution: Virtual lists, debouncing/throttling, optimize rendering logic

By comprehensively applying these performance optimization strategies, you can significantly improve the performance and user experience of micro-frontend applications.