#Jprofiler vs visualvm how to

The stack frames are sorted alphabetically from left to right. Important to note is that the X-axis != time passing.

Color: depending on the configuration will e.g.

X-axis / Width: presents how much time (number of samples) was spent within a method.

Y-axis / Height: presents the stack depth.

Also the input for generating the flame graph is a simple text file that can be easily hacked to add / filter information!ДЄ flame graph will give you the following information: The nice thing about the SVG image is that it can be searched and filtered (unfortunately not possible in this blog post), which makes it really easy to traverse. The graph then is generated by the Flame Graph tool by Brendan Gregg, a simple Perl script that will output an SVG image. These will create stack samples which can then be transformed / folded to get the right format for generating the flame graph. Or, as he puts it:ДЇlame graphs are a visualization for sampled stack traces, which allows hot code-paths to be identified quickly.Д«elow you will see an example flame graph from a Spring Boot demo application.ДЇlame graphs are generally created from the results of sampling profilers.

#Jprofiler vs visualvm how to

In this post IвЂ™m hoping to give you some idea about what flame graphs are, how to read them and what tooling is available to create them.ДЇlame graphs were invented by Brendan Gregg as a means to show profiling results. Flame graphs are relatively new and take a new angle to show the results.ДЇurthermore, flame graphs can be generated on various levels tooling hooking into the JVM, but also on (Linux / MacOS) OS level. Traditionally these results are either shown in some kind of table form, either flat or as a tree view.

Currently there are several tools available to analyse your application performance and show the results.