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Garbage Collection Tuning Success Story: Reducing Young Gen Size

When you tune Garbage collection performance, you are not only improving Garbage collection pause time but also the overall application’s response time and reducing cloud computing cost. Recently, we helped to tune the Garbage collection behavior of a popular application. Just by making a minor change, it resulted in a dramatic improvement. Let’s discuss this garbage collection tuning success story in this post.

Garbage Collection KPIs

There is a famous saying that "you can’t optimize something that you can’t measure." When it comes to garbage collection tuning, there are only 3 primary Key Performance Indicators (KPIs) that you should be focusing upon:

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How To Do GC Log Analysis?

Analyzing garbage collection logs provides several advantages like it reduces GC pause time, reduces cloud computing cost, predicts outages, provides effective metrics for capacity planning. To learn about the profound advantages of GC log analysis, please refer to this post. In this post let’s learn how to analyze GC logs?

Basically, there are 3 essential steps when it comes to GC log analysis:

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Chaos Engineering: Thread Leak

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 thread leaks. ‘java.lang.OutOfMemoryError: unable to create new native thread’ will be thrown when more threads are created than the memory capacity of the device. When this error is thrown, it will disrupt the application’s availability.

Sample Program

Here is a sample program from the open source BuggyApp application, which keeps creating an infinite number of threads.