The default Java Garbage Collection algorithm depends on your JVM vendor, Java version, and class of JVM. For OpenJDK, the default algorithms are Serial GC for Client-Class Machines and Parallel GC for Server-Class Machines. Other options include CMS GC, Shenandoah GC, ZGC, and Epsilon GC. Choose the right algorithm for your application.
W-JAX 2024 featured a presentation by architect Ram Lakshmanan on 'Top 5 Java Performance Problems,' highlighting common performance issues in Java and offering practical solutions. Attendees rated the talk highly, with scores of 4 for quality and 4.17 for speaker knowledge, surpassing the overall conference averages.
This is an investigative piece on the performance of string deduplication in different versions of Java. The investigation compared Java versions 11, 17, and 21 and their ability to remove duplicate strings. It utilized a WebCrawler application and JMeter load testing to gather data. The findings revealed that Java 11 outperformed versions 17 and 21, eliminating 34.3% of duplicates in 1,264.442 milliseconds. However, newer versions showed a decline in performance, deduplicating fewer strings over longer periods of time.
Node.js applications may suffer from unresponsiveness due to long Garbage Collection pauses or memory leaks. Enabling GC traces with '--trace-gc' helps monitor memory usage and potential bottlenecks. This article details on how certain tools can provide graphs and metrics for easy interpretation, aiding in optimizing performance and memory management.
Garbage collection (GC) plays a crucial role in managing memory in Node.js. Efficient GC is essential for optimal performance, making it vital to trace GC events. This article covers the three main methods for tracing GC events: utilizing the '--trace-gc' flag, leveraging the v8 module for dynamic tracing, and utilizing the perf_hooks module.
The post discusses optimizing a Java application used for controlling warehouse robots, which faced performance issues due to long Garbage Collection (GC) pauses. By analyzing the GC log, it identified a large heap size and the CMS GC algorithm as culprits. Switching to the G1 GC algorithm reduced GC pauses significantly, enhancing application performance without major structural changes.
This article discusses optimizing application performance by managing String allocations in Java. It explains how to avoid excessive memory use through techniques like String literals, the String.intern() method, and the Java String deduplication feature. The importance of proper parameter settings and performance evaluation is emphasized for effective memory management.
Sridhar Vembu, CEO of Zoho, inspires many with his success story in building a major SaaS business. He emphasizes the financial benefits of optimizing automatic garbage collection, which can save companies billions annually by reducing application pause times that hinder performance and inflate cloud costs, as shown by successes at Uber and an automobile company.
The Java Concurrent Mark & Sweep (CMS) algorithm, favored for its low-latency memory management, was deprecated in Java 9 and removed in Java 14 due to a lack of contributors for maintenance. Users are encouraged to transition to alternatives like G1, Shenandoah, or ZGC, ensuring thorough performance analysis before switching.