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.
The article discusses the differences between APM tools like AppDynamics and GC log analysis tools such as GCeasy. APM tools monitor application performance in production, while GCeasy offers detailed insights into Garbage Collection metrics, phases, causes, and optimization recommendations. GCeasy complements APM tools, enhancing memory management and performance tuning across environments.
The article discusses the limitations of CI/CD pipelines, which primarily analyze macro-level metrics, in identifying performance issues like OutOfMemoryError. It emphasizes the importance of micrometrics—such as garbage collection throughput, thread states, and memory waste—in monitoring applications to preemptively address performance problems and improve software quality in production.
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.
GCEasy and FastThread outperform JVisualVM by providing intelligent analysis of GC logs and Thread Dumps, offering rich data on GC pauses, scalability through REST API, and minimal overhead. Unlike JVisualVM, which requires real-time connections and poses security risks, GCEasy and FastThread enhance JVM monitoring without compromising performance or safety.