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Performance Optimization

Optimizing your MongoNext app ensures fast load times, efficient resource usage, and a great user experience. Here are best practices for performance at every layer.

1. Caching​

  • API Caching: Use HTTP caching headers (Cache-Control) for public API responses.
  • Client-Side Caching: Use React Query, SWR, or similar libraries for client-side data caching.
  • Database Caching: For heavy queries, consider in-memory caching (e.g., Redis) if needed.

2. CDN Configuration​

  • Static Assets: Host images, fonts, and static files on a CDN (Vercel does this automatically).
  • Image Optimization: Use Next.js <Image /> for automatic image resizing and optimization.
  • Edge Caching: Leverage Vercel's edge network for global asset delivery.

3. Database Optimization​

  • Indexes: Add indexes to frequently queried fields (e.g., email, product/category IDs).
  • Query Optimization: Use .select() to limit returned fields and .lean() for faster reads.
  • Pagination: Paginate large result sets to reduce load times and memory usage.

4. Next.js & Material UI​

  • SSR/SSG: Use Next.js static generation (SSG) or server-side rendering (SSR) for fast initial loads.
  • Code Splitting: Next.js automatically splits code for each page.
  • Tree Shaking: Import only the Material UI components you use to reduce bundle size.

5. Monitoring & Profiling​

  • Vercel Analytics: Monitor performance and traffic in the Vercel dashboard.
  • MongoDB Atlas Monitoring: Track slow queries, resource usage, and set up alerts.
  • Lighthouse: Use Google Lighthouse to audit performance and accessibility.

Following these tips, you'll ensure your MongoNext app is fast, scalable, and ready for production traffic.

Coming soon!