Performance Analysis and Optimization Report for a Logistics Platform

The report examines performance problems encountered during pre‑production regression testing of a logistics platform used by a major petrochemical enterprise. Users reported slow page data loading and inconsistent backend interface response times.

Analysis methods included collecting system logs, monitoring performance with tools, and discussing findings with relevant colleagues to formulate solutions.

Backend investigation revealed that the IC card query interface exhibited high QPS and slow queries, which exhausted the MySQL connection pool; normal business queries had to wait for available connections, causing overall response delays.

Frontend analysis looked at network layer factors (resource size, CDN/OSS storage, browser concurrent request limits), JavaScript execution (long React rendering tasks due to large DOM size), and interaction layer (checkbox selection causing prolonged diff algorithm time). Reducing DOM elements via virtual scrolling cut interaction time from 800 ms to 80 ms.

Optimization measures proposed: strengthen demand research to match design with actual usage; migrate the IC card interface to an independent service; improve network layer with CDN acceleration, transmission compression, preloading, and domain sharding; adopt virtual scrolling to lessen rendering pressure and improve frontend responsiveness.

Conclusions: performance issues stemmed from insufficient demand research, IC card interface timeout, slow resource loading, and excessive DOM elements. Specific fixes—interface migration, CDN/compression/preloading/domain sharding, and virtual scrolling—addressed the root causes and restored acceptable response times.