Author: Harish Kumar Murugesan

Thread dump analysis is a traditional approach followed to analyze the performance bottlenecks in Java-based applications. In the modern era, we have APM tools that provide various metrics and screens to drill down and identify performance issues, even at the code level. But for some of the performance issues or occasions, thread dump analysis still stands as the best way to identify the bottlenecks. 

When To Use a Thread Dump

To analyze any performance issue, it is good to take a series of thread dumps with a 1 to 2-second time gap. Taking 10-15 thread dumps each with 1-2 second intervals helps to analyze the threads that got stuck or execute the same code across thread dumps.

APIs/Services performance plays an important role in providing a better experience to the users. There are many ways available through which we can make our APIs/services perform better. In this article, we are going to see some such tips to improve the performance of the APIs/Services. 

Below are some of the metrics that we need to consider while optimizing the performance of APIs/Services:

In this blog, we are going to look at the resolution to the memory saturation error reported by Dynatrace on a machine that hosts multiple JVMs. 

The memory saturation error is thrown from Dynatrace when the memory usage goes beyond 80% and the page faults go beyond 20-page faults/second on a Linux machine.