Using Server-side Processing Techniques to Optimize Data Presentation Responsiveness

One of the biggest challenges facing web developers in the rapidly changing digital world is how to convey massive volumes of data in an effective and adaptable manner. The use of server-side processing techniques to enhance the responsiveness of web applications' data presentation is covered in this article. Faster data serving is made possible by this strategy, which transfers the majority of the client's processing work to the server-especially in contexts with massive and complicated data. The goal of this project is to use the Gatling tool to simulate loads, evaluate response time, throughput, and latency in various big data scenarios, and analyze the performance of web applications with server-side processing approaches. The performance of web applications that make use of server-side processing approaches is measured and compared in this study using an experimental approach with load simulation. It is clear from the testing results of the program's versions 1 and 2 that the application with server-side processing techniques implemented for data display is considerably more optimal than the application without such techniques. In comparison to version 2, which took 0.86 seconds on average to reply to queries, version 1's server took an average of 0.31 seconds. According to the web page performance, version 1 loaded resources faster than version 2, taking 1.52 seconds as opposed to 105 seconds. Version 1 of the web page takes 0.082 seconds to render on the GPU, while Version 2 of the program takes 0.86 seconds.