PERFORMACE - rs-hash/Senior GitHub Wiki

Performance story

Client side

  • Initial Assessment and Benchmarking: Start by mentioning the importance of conducting an initial assessment of the application's current performance using tools like Lighthouse, PageSpeed Insights, or WebPageTest, Crux.
  • benchmark key performance metrics such as load time, time to interactive, first contentful paint, and overall page size.
  • core web vitals:'LCP, INP, CLS`, Loading, interactivity, stability
  • elements affect LCP : image, block , video, background-image
  • improve LCP : responsive images, compress, WebP, image cdn, server-push - push critical content by server, http2
  • Improve CLS - width, height, skeleton pattern, reserved space for banners & dynamic content aspect-ratio for images, use low resolution placeholder images till it loads
  • optimizing code, such as minification, compression, and tree shaking to reduce file sizes and improve load times.
  • code splitting and bundling strategies using tools like Webpack to reduce initial load times
  • Webpack, Rollup: Bundlers to optimize and bundle JavaScript, CSS, and assets for production.
  • Code splitting: Technique to split the code into smaller chunks and load them on demand, improving initial load times.
  • Service Workers: Utilized for caching assets and enabling offline functionality.
  • Remove unused css purgeCSSPlugin
  • Highlight the importance of optimizing images and other media assets using formats like WebP, lazy loading, and responsive image techniques.
  • optimize images and media- WebP, lazy load, src-set, sizes, compress, loading='lazy', react-lazy-load-image-component, placeholder image, blur
  • Image optimization tools: Tools like ImageMagick, Squoosh, or services like Cloudinary for optimizing images to reduce file size without compromising quality.
  • Explain how optimizing the critical rendering path by minimizing render-blocking resources, leveraging browser caching
  • inlining critical CSS and deferring non-critical CSS and JavaScript to prioritize above-the-fold content and reduce render-blocking.
  • Virtualize large lists
  • Performance hooks in React
  • Server side rendering - Next.js
  • Preload critical resources (e.g., above-the-fold content, essential scripts) and prefetch related resources (e.g., next page content, linked assets) to proactively load content and reduce perceived latency.

Server side

  • Intermediate proxy servers or content delivery networks (CDNs) can cache resources on behalf of clients. These caches are closer to the user's location, reducing latency and server load.
  • Server-Side Cache: Web servers can cache dynamic content or API responses to serve subsequent requests more quickly. Caching mechanisms like Memcached, Redis, or built-in server caching tools (e.g., NGINX caching) are used for this purpose.
  • HTTP headers such as Cache-Control are used to control caching behavior. They specify directives like max-age, no-cache, no-store, public, private, and must-revalidate to instruct browsers and proxies on how to cache and handle cached content.
  • Cached content needs to be invalidated or refreshed periodically to ensure that users receive updated information. Techniques like cache expiration (setting max-age or expires headers), cache busting (using unique query parameters or versioning), and manual cache purging are used for cache invalidation.
  • optimizing network requests by reducing the number of HTTP requests, using HTTP/2 for multiplexing and server push, and implementing resource hints like preload and prefetch.
  • server-side optimizations such as caching, CDN (Content Delivery Network) utilization, and Gzip compression to improve response times and reduce latency.
  • Implement load balancing to distribute incoming traffic across multiple servers and improve application scalability. Use horizontal scaling (adding more servers) and vertical scaling (increasing server resources) to handle increased load.
  • Enable compression (e.g., gzip, Brotli) for text-based assets like HTML, CSS, JavaScript, and JSON to reduce file sizes and improve transfer speeds

βœ… Step-by-Step Process to Improve Web App Performance

Step 1: Measure First β€” Identify Performance Bottlenecks

"You can't improve what you don't measure."

Tools:

  • Google Lighthouse / Chrome DevTools Audits

  • WebPageTest, GTmetrix

  • Chrome Performance tab

  • Core Web Vitals (CWV): Largest Contentful Paint (LCP), First Input Delay (FID), Cumulative Layout Shift (CLS)

  • Real User Monitoring (RUM): New Relic, Datadog, Sentry, SpeedCurve

What to Look For:

  • Slow Time to First Byte (TTFB)

  • High LCP (>2.5s)

  • Render-blocking resources

  • Large JavaScript bundles

  • Layout shifts or long input delays

Step 2: Optimize Asset Delivery

  • βœ… 2.1 Minify and Compress

Minify JS, CSS, and HTML (via Webpack, Terser, UglifyJS)

Use Gzip or Brotli compression on server

  • βœ… 2.2 Use Efficient Image Formats

Convert to WebP, AVIF

Use responsive images with srcset

Use image CDNs (e.g., Cloudinary, Imgix)

  • βœ… 2.3 Lazy Load Images and Components

Native loading="lazy" for

Lazy load components in frameworks (React.lazy, Vue async components)

Step 3: Reduce JavaScript Payload

  • βœ… 3.1 Code Splitting

Split code by route or component

Use dynamic imports: import() in React, Vue, Angular

  • βœ… 3.2 Tree Shaking

Remove dead code (ensure libraries support ES Modules)

Use sideEffects flag in package.json

  • βœ… 3.3 Avoid Unused Dependencies

Audit with webpack-bundle-analyzer, source-map-explorer

Replace large libs (e.g., lodash) with smaller utilities (e.g., lodash-es, native functions)

  • βœ… 3.4 Defer and Async Scripts

defer for JS scripts that don’t block rendering

async for independent scripts (analytics, ads)

Step 4: Optimize Critical Rendering Path

  • βœ… 4.1 Reduce Critical CSS

Inline critical CSS for above-the-fold content

Load the rest asynchronously

  • βœ… 4.2 Eliminate Render-Blocking Resources

Move CSS to head (minified), JS to end of body (deferred)

  • βœ… 4.3 Preload Key Resources

Fonts ()

Images

Hero content (e.g., banner image)

Step 5: Efficient Caching Strategies

  • βœ… 5.1 Browser Caching

Set far-future Cache-Control headers for static assets

Use cache busting (e.g., filename.[hash].js)

  • βœ… 5.2 Service Workers

Implement caching strategies: stale-while-revalidate, cache-first

Use Workbox for PWA support

Step 6: Improve Load Time and Perceived Performance

  • βœ… 6.1 Skeleton Screens and Spinners

Show UI placeholders instead of blank screen

Improve First Contentful Paint (FCP) perception

  • βœ… 6.2 Progressive Hydration (React, Next.js)

Only hydrate interactive parts as needed

  • βœ… 6.3 Avoid Long Main Thread Tasks

Split heavy JS execution into chunks

Use requestIdleCallback or setTimeout to defer non-critical logic

Step 7: Optimize Network Requests

  • βœ… 7.1 Reduce HTTP Requests

Combine small assets (icons into SVG sprite)

Remove unnecessary polyfills

  • βœ… 7.2 HTTP/2 or HTTP/3

Multiplex requests

Better header compression, faster TLS handshake

  • βœ… 7.3 Debounce or Throttle API Calls

Avoid overloading the client or server

Prevent excessive re-renders

  • βœ… 7.4 API Response Optimization

Compress API responses (Gzip, Brotli)

Avoid overfetching; use GraphQL or selective REST endpoints

  • Step 8: Use a CDN and Global Edge Network βœ… Content Delivery Network (CDN)

Serve static assets close to users

Reduce latency for global users

Step 9: Leverage Framework/Platform-Specific Optimizations

React

Use React.memo, useMemo, useCallback effectively

Avoid prop drilling

Use Suspense for data fetching

Enable concurrent features (React 18+)

Vue

  • Use computed properties instead of methods
  • Avoid deep watching
  • Use dynamic component loading

Next.js

  • Enable Image Optimization
  • Use Static Site Generation (SSG) where possible
  • Use next/script for optimized script loading

Step 10: Continuous Monitoring and Regression Alerts

Set up performance budgets

Monitor Core Web Vitals using RUM tools

Run automated Lighthouse audits in CI/CD pipelines

Use tools like Calibre, SpeedCurve, or GitHub Actions for performance regression testing

πŸ” ### Continuous Loop: Audit β†’ Optimize β†’ Monitor β†’ Repeat Treat performance like security β€” it's not one-and-done.

Profile and test across different devices and network conditions.

Balance between developer productivity, performance, and maintainability.

🧠 Bonus: Advanced Performance Techniques

HTTP caching headers (ETag, Last-Modified)

Web Workers for heavy computations

Priority Hints (importance="high")

Font Subsetting

Quicklink prefetching for next-page navigation

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