![]() Sematext Logs is a logs centralization solution aimed at various logs-centric use-cases. Let’s look at what tools can give the most when it comes to Garbage Collection logs analysis. In real-world scenarios, you want to have a tool that does everything mentioned above and, at the same time, enables log analysis with detailed reports and real-time monitoring with history and post-mortem analysis support. An example can be the Sematext JVM Monitoring provided by Sematext Cloud. In most cases, this is more than enough to spot issues with the garbage collection without going deep into the logs and analyzing them. A Java Virtual Machine Monitoring tool like this should give you an overview of how the garbage collector works, the times, collection count, the maximum collection time, and the average collection size. Such solutions, like Sematext Logs, parse logs are parsed, and you can use the information provided to get insights on what is happening inside your garbage collector when it does its job.įinally, the third type of tool is the monitoring one. The second type of tool is dedicated to logging centralization with the support of the garbage collection logs. ![]() You will use them for troubleshooting and tuning purposes, though. However, in the majority of cases, you won’t use them daily. Such tools, like the GCPlot that we will be looking at later, are great for analyzing the logs. The first approach is to use the garbage collector tool that is dedicated to analyzing the logs and does only that. When it comes to the analysis of Java Virtual Machine Garbage Collector behavior, you take different approaches. GC Log Analysis Approaches: Logging, APM & Observability Tools To help you get started, in this blog post, we’ll review some of the best GC log analyzers out there. Nothing available out of the box in the standard Java Virtual Machine distribution, though. There are tools that can enable you to analyze the garbage collector logs. Having full visibility into both metrics and logs of the garbage collector gives you the necessary information to understand what is happening and react to that, to do garbage collector tuning. To fully understand the garbage collector’s work, we need two things – the metrics that describe how and when it was running and the logs that tell you what was happening exactly. This is why the garbage collector’s performance is one of the crucial JVM metrics for the overall performance of the applications running inside the Java Virtual Machine. Unlike languages like C/C++, we don’t have exact control over when the memory will be freed – freeing the memory is the garbage collector’s job. Such objects can have a longer or shorter life, but at some point, they stopped being referenced from the code. Well, at least in the vast majority of the cases. ![]() When an application written for the Java Virtual Machine is running, it constantly creates new objects and puts them on the heap. IBM Garbage Collection and Memory Visualizer
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