#Building Performant React Applications at Scale
Performance isn't an afterthought—it's a fundamental design consideration. Here's how we approach building React applications that scale.
##Component Architecture
Smart component splitting and lazy loading ensure users only download what they need. Strategic use of React.memo and useMemo prevents unnecessary re-renders.
1// Lazy loading with Suspense2const Dashboard = lazy(() => import('./Dashboard'))34function App() {5 return (6 <Suspense fallback={<Skeleton />}>7 <Dashboard />8 </Suspense>9 )10}
##State Management
Choosing the right state management approach matters. For server state, we leverage React Query. For client state, Zustand provides a lightweight, performant solution.
| Approach | Use Case | Bundle Size |
|---|---|---|
| React Query | Server state | ~12kb |
| Zustand | Client state | ~1kb |
| Jotai | Atomic state | ~2kb |
##Rendering Strategies
Combining SSR, SSG, and ISR through Next.js allows us to optimize each page's rendering strategy based on its specific requirements.
###When to Use Each
- SSG - Marketing pages, blog posts
- SSR - Personalized dashboards
- ISR - Product catalogs, dynamic content
##Performance Monitoring
1// Custom performance hook2function usePerformanceMetrics() {3 useEffect(() => {4 const observer = new PerformanceObserver((list) => {5 for (const entry of list.getEntries()) {6 console.log(`${entry.name}: ${entry.duration}ms`)7 }8 })910 observer.observe({ entryTypes: ['measure'] })11 return () => observer.disconnect()12 }, [])13}
##Conclusion
Performance optimization is a continuous process. Regular profiling, careful monitoring, and iterative improvements keep applications fast as they grow.
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