![]() C4 GC, Falcon Compiler), Red Hat OpenJDK, SAP Machine, Amazon Corretto, BellSoft Liberica, Alibaba Dragonwell, Pivotal Spring RT, etc. Since the reference JVM implementation is HotSpot, the current guidelines should be valid for a wide range of JVM distributions, HotSpot based, including Oracle OpenJDK, Oracle JDK, AdoptOpenJDK, Azul Zulu, Azul Zing (to some extent, since Zing is HotSpot OpenJDK based with some proprietary changes e.g. This article aims to cover the most useful HotSpot JVM options that could be used to properly tune the Virtual Machine. A poorly-tuned JVM can result in longer latencies, slower transactions, system freezes, system crashes, etc. Tuning the HotSpot Java Virtual Machine (HotSpot JVM) to achieve optimal application performance is one of the most critical aspects, especially in the case of latency-sensitive applications. Concurrent Mark Sweep Garbage Collector.Container awareness features in the JVM, since version 9, mean this probably isn’t a safety issue for these applications like it used to be, as long as the JVM is the only process running in each container.AppCDS, c1 jit, c2 jit, Class Data Sharing, CMS GC, code cache, container, direct buffers, Epsilon GC, G1 GC, garbage collectors, graal jit, guideline, heap, hotspot vm, java performance, java performance tuning, just in time compiler, latency, Metaspace, Parallel GC, ParallelOld GC, Serial GC, Shenandoah GC, thread, thread stack, throughout, tuning, tuning guideline, ZGC HotSpot JVM Performance Tuning Guidelines Content The New Relic data shows only about 80% of containerized applications explicitly request an upper bound on JVM memory through either the -Xmx or -XX:MaxRAMPercentage flags. ![]() Similar trends surface when comparing memory settings, with a tendency towards smaller instances in containers. All those single-core instances may as well be using the serial collector-and paying the performance cost of that-but many probably don’t even know it. ![]() In particular, many of the concurrent benefits from the default G1 garbage collector on recent Java virtual machines (JVMs) vanish when running with fewer than two cores. But this trend can pose unexpected issues for some applications. ![]() The drive to run smaller makes a lot of sense in cloud environments where people are often deploying containers. The most used garbage collection algorithms.The most common heap size configurations.The goal of this report is to provide context and insights into the state of the Java ecosystem today. Any detailed information that could help attackers and other malicious parties was deliberately left out of the report. To create this report, New Relic anonymized and deliberately coarse-grained the appropriate data to give a general overview of the Java ecosystem. The recent release of Java 17-the first long-term support (LTS) release since Java 11-provides an opportunity to take a fresh look at that data. In March 2020, New Relic published its first State of the Java Ecosystem report based on data gathered from millions of applications providing performance data. Java is incredibly popular with software developers-and it is used in almost every major industry and economic sector-because it is platform-independent and can move easily from one computer system to another, offers thousands of libraries, and is well-supported. The modern software industry is vast, and there’s no shortage of programming languages to choose from.
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