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GC easy – Universal Java GC Log Analyser

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Garbage collection logs

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.

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16 artifacts to capture when there is a production problem -Montreal 2022

ConFoo Montreal is a multi-technology conference for developers. Our Architect Ram Lakshmanan has been invited there to present on the topic “16 artifacts to capture when there is a production problem“, which has secured 5th place among 155 sessions.

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How to do GC Log analysis?

Analyzing garbage collection log provides several advantages like: 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?

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Detect proactively whether application’s memory is under-allocated

 When the application’s memory is under-allocated, it will result in the following side-effects: 

 a. Transactions response time will degrade

 b. CPU consumption will spike up

 c. OutOfMemoryError will be thrown

Only when OutOfMemoryError is thrown, most of us start to look at our application’s memory settings. This is like only when a patient goes to a critical condition; we begin to give treatment :-). 

In this post, let’s discuss how to detect whether your application’s memory is under-allocated or not in a proactive manner.

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Interesting Garbage Collection Patterns

As the author of GCeasy – Garbage collection log analysis tool, I get to see few interesting Garbage Collection Patterns again & again. Based on the Garbage collection pattern, you can detect the health and performance characteristics of the application instantly. In this post, let me share few interesting Garbage collection patterns that have intrigued me.

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Overhead added by Garbage Collection Logging

Enabling Garbage collection logs on your application has certain advantages. In nutshell, Garbage collection logs will facilitate you to optimize Garbage Collection pause time, improve overall application’s response time, forecast production outages, reduce computing cost. Even though Garbage collection logs have these advantages, we weren’t sure what overhead does garbage collection logging add to the application. Thus we set out to conduct the below case study.

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What is Garbage collection log, Thread dump, Heap dump?

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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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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GCeasy API – Remote Location

In Garbage collection log analysis API we have introduced a new feature called Remote Location. Using this feature now you can pass the http(s) URL location of your GC log in the request.

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