Java's Garbage Collection manages memory by clearing unused space. If the number of GC threads isn't set correctly, it can slow down your application. Balancing the thread count is key to preventing delays and memory issues, ensuring smooth performance.
Garbage Collection is automatic in modern languages like Java, .NET, Golang, and Python, but ignoring it can be costly. Tuning GC improves application performance, reduces costs, and solves production problems. Real case studies show big gains in response time, throughput, and savings. Understanding GC behavior gives developers useful insights and benefits.
As a Java engineer, picking the right GC algorithm is key for application performance. Options include Serial, Parallel, CMS (deprecated), G1, Shenandoah, ZGC, and Epsilon. Each one has unique features and suits different situations. Use a flowchart to help choose the best algorithm based on your performance goals and heap size. Always conduct thorough performance testing before making a switch.
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.
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.
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.
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.
The Java Concurrent Mark & Sweep (CMS) garbage collection algorithm aims to minimize pause times by marking and sweeping memory concurrently. Despite its benefits, CMS has been deprecated since JDK 9 and removed in JDK 14. This post discusses tuning techniques, JVM parameters, and advanced options to optimize CMS performance for specific scenarios.