Frontend Optimization
- Minimize HTTP Requests: Combine CSS and JavaScript files, use CSS sprites for images.
- Optimize Images: Use appropriate formats (JPEG, PNG, WebP), compress images without significant quality loss, and implement responsive images.
- Leverage Browser Caching: Set appropriate cache headers for static assets.
- Asynchronous Loading: Use
async
or defer
attributes for JavaScript to avoid blocking rendering.
- Lazy Loading: Load images and other non-critical resources only when they are visible in the viewport.
- Reduce DOM Size: Keep your HTML structure as lean as possible.
- CSS Optimization: Minify CSS, remove unused styles, and use efficient selectors.
Backend Optimization
- Efficient Database Queries: Optimize SQL queries, use indexing effectively, and avoid N+1 query problems.
- Caching Strategies: Implement server-side caching (e.g., Redis, Memcached) for frequently accessed data.
- Asynchronous Operations: Use background jobs for long-running tasks to keep your web server responsive.
- Code Profiling: Identify and optimize performance bottlenecks in your backend code.
- Minimize Payload Size: Compress responses (e.g., Gzip) and return only necessary data.
- Connection Pooling: Reuse database connections to reduce overhead.
- Stateless Architecture: Design your application to be stateless where possible, making scaling easier.
Architecture & Network
- Content Delivery Network (CDN): Serve static assets from servers geographically closer to your users.
- HTTP/2 or HTTP/3: Utilize modern protocols for multiplexing and header compression.
- Code Splitting: Divide your JavaScript bundles into smaller chunks that can be loaded on demand.
- Web Workers: Offload CPU-intensive tasks to background threads without blocking the main UI thread.
- Progressive Web Apps (PWAs): Enhance user experience with features like offline access and faster loading.
- Server-Side Rendering (SSR) / Static Site Generation (SSG): Improve initial load times and SEO.
Monitoring & Tools
- Browser Developer Tools: Use the Network, Performance, and Lighthouse tabs in Chrome DevTools (or equivalents).
- Performance Monitoring Tools: Google Analytics, New Relic, Datadog, Sentry for real-time performance tracking.
- Load Testing: Tools like JMeter, Artillery, or k6 to simulate high traffic loads.
- Code Analysis Tools: Linters and static analysis tools can help identify potential performance issues early.