Web performance optimization has become a fundamental concern in modern web development as digital platforms continue to grow in complexity and scale. Users increasingly expect websites and web applications to load quickly and respond immediately to interactions, regardless of the device or network conditions being used. However, the rapid expansion of multimedia content, dynamic frameworks, and data-intensive services has significantly increased the computational and network demands placed on web systems. As a result, inefficiently optimized websites often experience longer loading times, increased server resource consumption, and reduced user satisfaction. These issues can negatively impact user engagement, search engine visibility, and overall system efficiency.This study examines the importance of web performance optimization and explores a variety of techniques designed to improve the speed, responsiveness, and efficiency of modern web applications. The research focuses on key optimization strategies including resource compression, file minification, browser caching, lazy loading of media resources, image optimization, and the implementation of Content Delivery Networks (CDNs). These methods aim to reduce the volume of data transmitted between servers and clients while improving resource management within the browser environment.Additionally, the study analyzes how front-end and back-end optimization practices contribute to the overall performance of web systems. On the client side, techniques such as asynchronous resource loading, script deferral, and efficient CSS delivery can significantly improve page rendering speed and interactivity. On the server side, performance improvements can be achieved through optimized database queries, efficient API design, server-side caching, and scalable infrastructure deployment. The integration of these strategies helps minimize latency and enhances the overall efficiency of web services.The research also highlights the role of modern performance measurement tools, including web auditing platforms and browser-based diagnostics, which enable developers to evaluate performance metrics such as page load time, time to first byte, and largest contentful paint. These metrics provide valuable insights into performance bottlenecks and guide the implementation of optimization strategies.
González et al. (Thu,) studied this question.