Client‑Side Interface Performance Optimization: Analysis and Solutions

This article examines how client‑side developers can cooperate with backend teams to reduce API latency and improve user experience.

A typical request consists of five stages: request initiation, network transmission, server processing, data parsing, and UI rendering. Measurements show that the client’s own processing (parameter binding, data parsing, UI layout, thread switches) occupies a small portion of total time, while the dominant delays stem from network transmission and server‑side processing.

To lower server processing time, the article suggests common backend techniques: caching, concurrent downstream calls, asynchronous handling of non‑critical tasks, batch processing, and adding proper SQL indexes.

To reduce network transmission time, several approaches are discussed: splitting large responses into multiple segments, switching from TCP to UDP‑based protocols such as XQUIC, and minimizing packet size through better compression algorithms.

Data‑size reduction on the client side is explored in depth. Strategies include pruning unnecessary fields, using lookup tables to de‑duplicate repeated data, and reorganising payloads. Experiments demonstrate that shrinking a 1.5 MB paginated response to ~106 KB (gzip best) and then further to ~63 KB after field pruning yields latency improvements of up to 90 ms.

Additional tests compare original and optimized payloads, showing compression‑ratio improvements of 40‑60 % and corresponding reductions in network time.

The article concludes that payload size significantly impacts API performance and that both server‑side optimisations and client‑side payload trimming are essential for high‑traffic e‑commerce scenarios.

Key takeaways: focus on server processing and network transmission bottlenecks, apply caching and concurrency, adopt smaller packets or alternative protocols, and aggressively prune or compress response data.