This article details a real‑world Elasticsearch performance overhaul on a 12‑billion‑document cluster, covering shard rebalancing, index slimming, JVM tuning, query optimization, safe scaling, monitoring alerts, and data cleanup, complete with formulas, code snippets, and measurable results.
This article shares a step‑by‑step account of taking over a content‑risk stability role in early 2024, defining system stability, diagnosing recurring issues, and implementing a three‑phase framework—pre‑emptive reduction, impact mitigation, and post‑incident improvement—to boost success rates, cut incident response time, and achieve a modular architecture.
The article describes how vivo’s core music service reduced frequent garbage collections, long GC pauses, and RPC timeouts by switching to ParNew+CMS collectors, implementing fault‑transfer monitoring, optimizing large response objects, and adding non‑invasive payload checks, resulting in dramatically lower YGC/FGC frequencies and improved memory stability.
This article provides an in-depth exploration of Java concurrency and synchronization mechanisms, detailing the evolution of the Java Memory Model, explaining core concepts like volatile, CAS, synchronized, and park/unpark, and illustrating their practical applications through code examples and JVM optimization insights.
This article presents a practical, step‑by‑step walkthrough of identifying, diagnosing, and resolving high‑concurrency performance problems in a Java‑based SSM e‑commerce application, covering monitoring, root‑cause analysis, JVM/Tomcat/Redis/JDBC tuning, code improvements, and the resulting system stability.
This article presents a comprehensive, practical case study of diagnosing and resolving high‑concurrency performance issues in an SSM‑based e‑commerce system, covering architecture overview, problem identification, root‑cause analysis, JVM/Tomcat/Redis/MySQL tuning, load‑balancing, and post‑optimization monitoring results.
