METHODS FOR OPTIMIZING THE LOADING AND UPDATING OF WEB PAGES USING CLOUD TECHNOLOGIES

Abstract

An essential component of modern systems built on cloud technologies, which determines the performance and efficiency of system operation, is caching methods and technologies. For systems that provide static information to end-users, technologies such as SSG (Static Site Generation) and SSR (Server-side Rendering) are applied in building the client side. SSG is typically used for pages with a very low frequency of content changes, as modifying the content on one page requires rebuilding the entire site. To cache SSR application pages, the use of a cache proxy server is recommended. An example of implementing such an approach is Next.js Serverless. However, because the Next.js Serverless technology employs a weak caching model, delivering up-to-date data to end users often takes a significant amount of time, which can negatively impact user interaction. This work is dedicated to addressing this problem. The paper proposes a flexible and efficient solution for generating and caching static pages using a cache proxy server and invalidation for data updates by the cache proxy server upon each change in the system's state. The integration of this solution into complex information systems is explored, and a performance comparison and evaluation of data delivery to end-users are conducted. The results of the conducted experiment demonstrate that the proposed approach solves the identified problem without compromising the performance compared to the Next.js Serverless approach.