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What do you know about web application performance optimization?

sobes.tech AI

Answer from AI

Web application performance optimization encompasses a set of measures aimed at speeding up loading, rendering, and interaction with the user interface.

Main areas:

  • Critical Rendering Path Optimization: Reducing the number of blocking resources (CSS, JavaScript), prioritizing the loading of critical styles and scripts, using asynchronous and deferred loading.
  • Resource Optimization: Compressing images (lossy/lossless), using modern formats (WebP, AVIF), minifying and compressing CSS/JS, using CDN.
  • Data Loading Optimization: Caching (HTTP cache, Service Workers), prefetching, preloading, using <link rel="preconnect"> and <link rel="dns-prefetch">.
  • JavaScript Optimization: Reducing bundle size, optimizing algorithms, minimizing repaint and reflow, using Web Workers for resource-intensive tasks.
  • Rendering Optimization: Hardware acceleration, using requestAnimationFrame for animations, avoiding forced synchronous layouts.

Key metrics for tracking and analysis:

  • FCP (First Contentful Paint): Time until the first rendering of any content.
  • LCP (Largest Contentful Paint): Time until the rendering of the largest visible content block.
  • FID (First Input Delay): Time from the first user interaction to the browser's event processing.
  • CLS (Cumulative Layout Shift): Total shift of elements on the page during loading.
  • TTI (Time to Interactive): Time when the page becomes fully interactive.

Tools for analysis and debugging:

  • Chrome DevTools (Performance, Lighthouse, Network tabs)
  • WebPageTest
  • GTmetrix
  • Performance APIs (performance.mark, performance.measure, PerformanceObserver)

Examples of optimizations:

  • Removing unused CSS and JS.
  • Using Svelte or Preact to reduce bundle size.
  • Applying lazy loading for images and videos.
  • Optimizing API requests (reducing quantity and size).
  • Code splitting.
// Example of lazy loading images
const images = document.querySelectorAll('img[data-src]');

const observer = new IntersectionObserver((entries, observer) => {
  entries.forEach(entry => {
    if (entry.isIntersecting) {
      const img = entry.target;
      img.src = img.dataset.src;
      img.removeAttribute('data-src');
      observer.unobserve(img);
    }
  });
});

images.forEach(image => {
  observer.observe(image);
});
/* Example of critical CSS optimization */
/* Styles necessary for the first screen rendering */
@media screen and (min-width: 1024px) {
  .hero {
    background-image: url('hero-large.jpg');
  }
}