Performance Optimization of Progressive Web Apps: Best Practices and Experimental Research

The article examines methods for optimizing the performance of Progressive Web Applications (PWA). Based on modern practices, techniques such as lazy loading, caching, and image optimization were implemented. To evaluate their effectiveness, an experiment was conducted on three existing PWAs (Twitter Lite, Starbucks PWA, and AliExpress), with performance metrics recorded before and after implementing these methods. Lighthouse and WebPageTest were used as analysis tools. The results demonstrated significant improvements in load time and reduced data consumption, confirming the efficacy of the proposed approaches. This work may prove valuable for developers and researchers interested in enhancing user experience and web application performance.