PageSpeed Optimization

Performance work at Pikap is carried out through the combined evaluation of software, infrastructure, and deployment layers. Having the development team manage all these processes under the same technical framework ensures that every step, from the codebase to server configurations, is optimized in harmony. Thanks to this approach, we achieve more stable and sustainable performance results that focus not only on browser speed but also on the overall operational rhythm of the system.

On the frontend side, structures separated by component logic, lightweight asset management, static output generation, optimized script loading strategies, and browser-friendly rendering flows are used. Techniques such as reorganizing CSS and JavaScript files, critical path analysis, lazy-loading, preconnect, and fetchpriority implementation significantly improve the initial page load time. At Pikap, the entire coding process is conducted in compliance with PageSpeed rules from the beginning. This method creates a structure that consistently meets Google PageSpeed expectations on both mobile and desktop devices.

Server-side cache layers, compression algorithms, response-time optimizations, and CDN distribution of static content ensure performance continuity. In Pikap projects, Cloudflare caching structure and Page Rule settings are configured correctly; thus, static files and HTML outputs are delivered quickly from the nearest point. All projects are launched with default support for HTTP/3, which significantly improves connection setup time and transfer speed on modern browsers. Security layers, protocol preferences, and routing rules are also optimized within this framework.

In the backend architecture, query optimizations, data caching, reduction of API response times, and necessary adjustments to minimize runtime are implemented. In this layer, where even small improvements have a large impact, all data flows required by the software are managed with minimal delay. Our development team's ability to produce all systems internally allows for faster implementation of performance-focused adjustments.