Qunar Tech Salon is a learning and exchange platform for Qunar engineers and industry peers. We share cutting-edge technology trends and topics, providing a free platform for mid-to-senior technical professionals to exchange and learn.
This article presents a comprehensive approach to measuring and visualizing user experience value in a mobile app, covering background challenges, metric definitions, data infrastructure, technical solutions, platform construction, analysis results, and a repeatable SOP for continuous improvement.
This case study describes how the hotel business gateway at Qunar was refactored using Spring WebFlux to achieve full‑process asynchronous handling, service orchestration, and significant performance gains—including a 100% increase in single‑machine throughput, 50% reduction in response latency, and lower code complexity—while outlining the analysis, solution design, results, and future work.
This article details the motivation, architecture, and iterative development of a network‑phone solution that combines native and React Native components for mobile apps and a WebRTC‑based web client, aiming to improve customer‑service efficiency, reduce costs, and enhance user experience across multiple channels.
This article examines how different React rendering strategies—client‑side rendering, server‑side rendering, and the new React 18 Streaming SSR—affect key web performance metrics such as TTI, FCP, and first‑paint, and demonstrates substantial latency reductions achieved through streaming and selective hydration.
The article presents the design, architecture, and operational details of Qunar's WebIDE cloud development platform, explaining how containerized, cloud‑native environments streamline front‑end and back‑end development, reduce setup costs, standardize configurations, enable remote access, and improve resource utilization and developer productivity.
This article details how long JVM garbage‑collection pauses and glibc ptmalloc memory‑fragmentation caused container OOM kills in a hotel‑pricing system, and explains the step‑by‑step diagnosis, JVM tuning, Kubernetes health‑check adjustments, and the replacement of ptmalloc with jemalloc to eliminate the issue.
This article describes how Qunar’s travel app team built a unified performance measurement platform and applied a series of frontend‑focused optimizations—including JSBundle pre‑loading, slimming, splitting, rendering‑stage improvements, and service‑request prefetching—to consistently reduce the Time‑to‑Interactive metric by double‑digit percentages across core booking pages.
The article details Qunar's user‑experience digital platform, explaining its background, measurement model, metric scoring, data‑collection mechanisms for Android and iOS, and the operational plan that drives continuous improvement across teams and products.
This article details Qunar’s migration from a traditional Prometheus‑based monitoring stack to VictoriaMetrics, describing the challenges of large‑scale container metrics collection, the architectural redesign using VM‑Cluster, vmagent, and vmalert, and the performance improvements achieved after full replacement.
This article details how Qunar improved its Serverless FAAS platform by introducing Node.js worker_threads for parallel computation, designing a thread‑pool with shared buffers and postMessage communication, and implementing comprehensive cache pre‑heating and governance, resulting in a 72% reduction in P99 latency and more stable service performance.
