Performance Optimization of Large-Scale Laravel- Based Educational Platforms

This research focuses on improving the efficiency and scalability of large-scale educational platforms developed using the Laravel framework. Such systems often encounter challenges including increased backend latency, slow response times, and limited scalability when handling a large number of concurrent users. To overcome these issues, the study implements architectural optimization techniques such as effective service container configuration, dependency injection, modular system restructuring, caching mechanisms, and database query optimization. The system was tested in a simulated high-traffic environment by measuring important performance factors such as response time, throughput, CPU usage, memory usage, and page loading speed. The results demonstrate that an optimized backend structure significantly reduces latency, enhances scalability, and improves overall system performance, emphasizing the importance of efficient architectural design.