Java Performance and Profiling (#23)

How do you get the maximum performance out of your Java application? And how to use profiling to find the bottlenecks? Let's learn it in this podcast!Java profiling is a crucial technique for measuring and improving the performance of applications. It helps identify bottlenecks, memory leaks, and other application performance issues. There are various challenges with using Java profiling, and the need for profiling depends on the complexity of the application and the performance requirements. Let us learn more about the challenges, different profiling approaches, and when to use Java profiling to reach the best performance with our Java code.GuestsChris [email protected]/@chriswhocodeschriswhocodes.com/Marcus [email protected]/blog/ Heinz [email protected]/in/heinzkabutzwww.javaspecialists.eu/ PodcastHost: Marcus Lagergren  @lagergrenProduction: Frank Delporte @FrankDelporte foojay.social/@frankdelporte Content00:00 Introduction of the host and guestsjitwatch jacolinefoojay.io/command-line-arguments Book Optimizing JavaJCrete10:42 History of Java and how performance was a challenge in the beginning14:21 What is profiling? What should be profiled? What is good profiling?28:44 What you should learn about profiling and performance31:43 Impact of the different garbage collectors on performance32:59 Performance and profile should focus on the right requirement for your system34:39 Ergonomics in the JVM and tunes itself for the system it is running onmail.openjdk.org/pipermail/hotspot-dev/2023-May/074325.html39:49 What are current important evolutions and upcoming coming or required changes in profiling?43:19 Break-throughs in Stop-The-World approaches46:43 Minimize the number of JVM flags you usehttps://jacoline.dev/stats 56:47 About Errors and Exceptions58:30 The current runtimes and operating systems are very forgivinghttps://openjdk.org/jeps/312 (Thread-Local Handshakes)https://openjdk.org/jeps/444 (Virtual Threads)1:04:26 Is profiling becoming less relevant?foojay.io/today/continuous-production-profiling-and-diagnostics1:10:20 Conclusion