Monitoring garbage collection (GC) is crucial for Java performance. The choice between commercial and open-source GC log analyzers depends on features, platform support, integration, cost, support, maintenance, and vendor lock-in. GCeasy uniquely offers both commercial and open-source advantages, making it suitable for diverse organizational needs while supporting various Java platforms.
Garbage collection (GC) efficiency in Java significantly affects system performance. Proper monitoring of GC logs is essential for tuning the heap and identifying performance issues. Various GC log analyzers like GCeasy, GCViewer, IBM GCMV, VisualGC, and Garbagecat offer insights and recommendations, improving application responsiveness and resource management.
Native memory leaks in Java are infrequent but challenging to address. This post outlines methods for identifying and troubleshooting leaks, highlighting native memory regions like Metaspace, Threads, and Direct Buffers. By employing tools such as Native Memory Tracking (NMT), developers can effectively diagnose and manage these potential problems.
jPrime is a conference focused on Java and related technologies, organized by the Bulgarian Java User Group with support from major companies. Notable was a workshop by architect Ram Lakshmanan on "GC TUNING: A MASTERPIECE IN PERFORMANCE ENGINEERING" Here is... Continue Reading →
This post discusses the importance of analyzing Garbage Collection (GC) behavior in production environments for application performance, memory troubleshooting, and capacity planning. It addresses challenges in managing numerous JVMs and presents GCeasy's REST API as a solution for automating GC log analysis, offering insightful metrics and secure data handling options.
Automatic Garbage Collection in Java enhances application performance by providing insights through GC Logs. These logs reveal vital details about each GC event, aiding optimization and debugging. Various GC algorithms exist, each with distinct log formats. Tools like GCeasy simplify log analysis, offering metrics, graphs, and recommendations to improve GC efficiency.
The post explores the Java Virtual Machine (JVM) and its internal components, focusing on the Heap, Stack, and Garbage Collection (GC). It explains their functions, configuration, and common errors. Additionally, it outlines JVM memory regions and emphasizes the significance of choosing the right GC algorithm to optimize application performance.
The Shenandoah Garbage Collector, introduced by Red Hat for OpenJDK, enhances Java performance through low-pause-time collection. This post details how to analyze Shenandoah GC log files, which provide insights into GC events, timings, and memory reclamation. Tools like GCeasy help interpret these logs for performance optimization and debugging.
The selection of the Java Garbage Collection (GC) algorithm, particularly the Concurrent Mark-Sweep (CMS) GC, impacts application performance. This post details how to analyze CMS GC log files, emphasizing the significance of metrics, events, and phases involved in GC. Tools like GCeasy assist in effective log analysis and optimization.