The Dell Boomi Core servers faced a performance outage due to a memory leak, identified through yCrash's root cause analysis. An investigation revealed that a SQL query in scheduled jobs caused excessive data load, resulting in high memory pressure. Correcting the query restored normal performance and underscored the need for precise monitoring.
This article discusses useful JVM arguments for handling OutOfMemoryError, which assist in memory troubleshooting. It covers -XX:+HeapDumpOnOutOfMemoryError for capturing heap dumps, -XX:OnOutOfMemoryError for executing scripts, -XX:+CrashOnOutOfMemoryError and -XX:+ExitOnOutOfMemoryError for abrupt application exits, highlighting the importance of graceful handling in both cases.
At the Great Indian Developer Summit in Bangalore, the talk "Become A GC Hero" focused on analyzing various garbage collection log formats and troubleshooting intricate memory issues using these logs. The presentation aims to provide insights into improving garbage collection processes for developers.
Procedures to diagnose and solve all the 5 types of OutOfMemoryErrors that happen within the JVM heap are same. In this article, let's explore how to diagnose these 5 types of OutOfMemoryErrors.
The Garbage Collection (GC) log file is essential for diagnosing memory issues, detailing when scavenges or full GC processes occur, memory reclaimed, and GC duration. To generate a log, specific JVM properties must be passed. Analyzing these logs helps identify trends and performance metrics, aiding in the optimization of memory management.
The article discusses an unexpected memory leak caused by Java's ThreadPoolExecutor, resulting in "java.lang.OutOfMemoryError." Despite local variable scoping, worker threads persist in memory after job execution. The solution is to invoke the "shutdown()" method, which releases the threads, preventing continuous memory consumption during repeated method calls.