Web performance is a critical factor that directly affects user experience and business outcomes. According to Google's research, an increase in page load time from 1 second to 3 seconds raises the bounce rate by 32%. At BUZ Yazilim, we prioritize performance in every project we develop.
Core Web Vitals: Google's Performance Metrics
It is important to understand the Core Web Vitals metrics that Google uses as ranking factors:
- LCP (Largest Contentful Paint): Loading time of the largest content element. Target: under 2.5 seconds
- INP (Interaction to Next Paint): Response time to user interactions. Target: under 200ms
- CLS (Cumulative Layout Shift): Visual layout shifts. Target: under 0.1
Lazy Loading: Smart Loading
Lazy loading is a strategy of loading resources when needed rather than loading everything upfront:
For Images
- Use the loading="lazy" attribute
- Images outside the viewport are automatically deferred
- Use placeholders or low-resolution previews
For Components
- Load non-visible sections with the Intersection Observer API
- Load modals, tooltips, and dropdowns on demand
- Load content as the page is scrolled (infinite scroll)
Code Splitting
Large JavaScript bundles seriously affect initial load time:
- Route-based splitting: Each page has its own JavaScript bundle
- Component-based splitting: Large components are split into separate bundles
- Dynamic import: Modules are loaded on demand
- Tree shaking: Unused code is removed from bundles
With this approach, it is possible to reduce initial load size by 40-60%.
Caching Strategies
An effective caching strategy dramatically improves performance:
Browser Cache
- Set long-term cache headers for static files
- Apply cache busting with file versioning
- Configure Cache-Control and ETag headers correctly
Server-Side Cache
- Store frequently accessed data with memory cache
- Cache database queries with distributed cache (such as Redis)
- Cache API responses for appropriate durations
CDN Usage
- Serve static files through a CDN
- Content delivery from geographically closer servers
- Automatic compression and optimization
Image Optimization
Images are the largest size source on web pages:
- WebP and AVIF formats: 25-50% smaller file sizes compared to JPEG and PNG
- Responsive images: Serve appropriate images for different screen sizes with srcset
- Size specification: Prevent CLS with width and height attributes
- SVG usage: Prefer vector format for icons and simple graphics
Database Optimization
Server-side performance should not be overlooked:
- Indexing: Create appropriate indexes for frequently queried fields
- Query optimization: Avoid N+1 query problems
- Connection pooling: Manage database connections efficiently
- Pagination: Serve large datasets with pagination
Measurement and Monitoring
You cannot evaluate success without measuring the impact of your optimization efforts:
- Perform regular measurements with Google PageSpeed Insights
- Conduct comprehensive performance analysis with Lighthouse
- Test from different locations with WebPageTest
- Monitor Real User Metrics (RUM)
Conclusion
Web performance optimization is not a one-time effort but a continuous process. Each optimization step improves user experience and positively contributes to your search engine rankings.
At BUZ Yazilim, we deliver high-performance web solutions to more than 100 clients. Contact our expert team to improve your web application's performance.