The article walks through a 13‑hour out‑of‑memory incident on a Spring Boot 2.7 service running in Kubernetes, detailing how to preserve the crash dump, interpret GC logs, use MAT and Arthas to pinpoint a static HashMap leak, and apply both temporary and permanent fixes while hardening the system for future safety.
By analyzing heap dumps with MAT and scrutinizing GC logs, the Vivo Internet Server Team identified thread‑local FutureAdapter and Jackson BufferRecycler objects and tuned promotion thresholds, cutting the Java game service’s Full GC occurrences from roughly 120 per day to about 30 and dramatically shortening pause times.
This article explains how to generate a heap dump with jmap, import it into Eclipse Memory Analyzer (MAT), and interpret the various reports such as Histogram, Dominator Tree, Top Consumers, and Leak Suspects to identify memory leaks or insufficient heap sizing in Java applications.
The article presents a detailed case study of an Android WebView memory‑leak bug that gradually slows page opening, explains how DDMS and MAT were used to pinpoint the leaking DynamicBgDrawable objects, and describes the fix of converting a strong view reference to a weak reference to eliminate the leak.
The article presents a detailed case study of an Android WebView memory leak that causes progressively slower page loads, explains how DDMS and MAT were used to pinpoint the leak in DynamicBgDrawable via a WeakHashMap reference cycle, and proposes converting the view reference to a weak reference to resolve the issue.
This guide explains practical techniques for spotting basic memory leaks, using the MAT tool to analyze heap dumps, comparing hprof files, and implementing daily leak monitoring in Android apps through AspectJ instrumentation, MLD utilities, and UIAutomator automation.
