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Performance Optimization

Writing performant code and designing for scalability ensures your MongoNext app remains fast as it grows. Here are best practices for code-level and architectural performance:

1. Efficient Data Fetching​

  • Use server-side data fetching (SSR/SSG) for critical data to improve initial load times.
  • Use client-side caching libraries (React Query, SWR) for non-critical or frequently updated data.
  • Paginate large data sets to reduce load and improve UX.

2. Minimize Re-renders​

  • Use React's useMemo and useCallback to avoid unnecessary re-renders.
  • Split large components into smaller, focused components.
  • Use key props and memoization for lists and dynamic content.

3. Lazy Loading​

  • Lazy load images and non-critical components with React.lazy and Suspense.
  • Use Next.js dynamic imports for code splitting.
  • Load third-party scripts only when needed.

4. Next.js & Material UI Features​

  • Use Next.js <Image /> for optimized images.
  • Take advantage of automatic code splitting and static asset optimization.
  • Import only the Material UI components you use to reduce bundle size.

5. Monitor & Profile​

  • Use browser dev tools and Lighthouse to profile performance.
  • Monitor production performance with Vercel Analytics and MongoDB Atlas monitoring.

Following these practices, you'll keep your MongoNext app fast and responsive for all users.

Coming soon!