When you are running your Java application in physical servers, you would have been using ‘-Xmx’ JVM argument to specify the Java heap size. If you are porting your application to Containers, you might be wondering how to configure Java heap size in the container’s world? Are there any best practices? In this article, we will discuss the possible JVM arguments that can be used to specify the Java heap size and the best option to choose.
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This article attempts to clarify the difference between InitialRAMPercentage, MinRAMPercentage, MaxRAMPercentage JVM arguments. These arguments have been introduced since Java 8 update 191. They are used to configure your Java application’s heap size when you are running it in the Physical server or in the container. In this article, let’s review their differences.
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Dsquare is a highly specialized FX trading boutique. They are focused on consistently outperforming the market in short term trading. They use algorithmic trading models in the world’s biggest market-average daily volumes in foreign exchange to execute their strategies well in excess of $3 trillion.
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Buggy App is a simple java application that simulates different performance problems like Memory Leak, OutOfMemoryError, CPU spike, thread leak, StackOverflowError, deadlock, unresponsiveness, …
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Java Virtual Machine (JVM) generates 3 critical artifacts that are useful for optimizing the performance and troubleshooting production problems. Those artifacts are:
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Debug/Diagnostic information about the application and JVM instance is published in the health check status page. In the health check status page, the following information is printed in the JSON format:
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Recent times, Uber has been experiencing exponential growth in its traffic. Recent spike in traffic volume exposed several memory related performance bottlenecks in their platform: long garbage collection (GC) pauses, memory corruption, out-of-memory (OOM) exceptions, and memory leaks. In this brilliant article, the Uber engineering team summarizes their optimization journey: What all the challenges they faced, the tools they used, best practices they followed to fix their application’s performance bottlenecks.
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G1 GC is an adaptive garbage collection algorithm that has become the default GC algorithm since Java 9. We would like to share a few tips to tune G1 Garbage collector to obtain optimal performance.
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