Chaos Engineering – Simulating OutOfMemoryError

In the series of chaos engineering articles, we have been learning to simulate various performance problems. In this post, let’s discuss how to simulate ‘java.lang.OutOfMemoryError: Java Heap space’ problem. This ‘java.lang.OutOfMemoryError: Java Heap space’ will be thrown by the application when the application generates more objects than the allocated heap size. 

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Java threads – may not be memory effecient?

Java applications tend to contain hundreds (sometimes thousands) of threads. The majority of these threads are in WAITING, TIMED_WAITING (i.e., dormant) state, while only a small portion of the threads are actively executing lines of code. So, we were curious to know whether dormant threads consume less memory than active threads.

To figure out an answer to this question, we conducted a small study. Our findings were interesting, thus sharing with you.

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7 JVM arguments of Highly Effective Applications

At the time (March 2020) of writing this article there are 600+ arguments that you can pass to JVM just around Garbage collection and memory. If you include other aspects, total JVM arguments count will easily cross 1000+. 😊. It’s way too many arguments for anyone to digest and comprehend. In this article, we are highlighting seven important JVM arguments that you may find it useful.

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LARGE OR SMALL MEMORY SIZE FOR MY APP?

Should I be running my application with few instances (i.e. machines) with large memory size or a lot of instances with small memory size? Which strategy is optimal? This question might be confronted often. After building applications for 2 decades, after building JVM performance engineering/troubleshooting tools (GCeasyFastThreadHeapHero), I still don’t know the right answer to this question. At the same time, I believe there is no binary answer to this question as well. In this article, I would like to share my observations and experiences on this topic.

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