Practical Java Performance Optimization: Metrics, Bottleneck Identification, and Governance Strategies
This article shares practical Java performance‑optimization techniques, covering UI and non‑UI latency metrics, baseline data collection, bottleneck discovery with tools like Arthas, chronic issue handling, and a comprehensive set of governance measures ranging from network‑level caching to code‑level refactoring, asynchronous processing, and service splitting to achieve stable sub‑200 ms response times.
