8 JProbe Introduction to This Guide 9 JProbe Documentation Suite that require a third-party application. The JProbe Profiler. Information about JProbeTM from Sitraka is available at http :// After JProbe is installed using the following. 09, 08 · Performance Zone · Tutorial. Like (2). Comment (34). Save. Tweet. k Views. Join the DZone community and get the full member.

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Sensu is an open source monitoring event pipeline. A couple of weeks ago I found myself in a position which is well known to any professional Java developer: After tackling some obvious pain-points, I had to turn to help of a profiler. As an Eclipse user and a strong OSS supporter, I first started searching for the open source alternatives.

TPTP is a good, solid, tool but it is not a simple one to install and use.

JProbe The Java code, memory, and coverage profiler is back

Just to be clear: TPTP comes with a complex setup process. I searched for some other free tools. I found this list of open source Java profilers and wasted about hours running through it. None of them worked well. Most of them were buggy, some eventually worked but did not produce enough information or produced too much information, which is just as bad.

Most of the tools are focused on memory analysis, while I needed execution time analysis. I had to look elsewhere. I’ll start from the bottom line. JProfiler is not the prettiest tool you can find. Its’ integration with Eclipse leaves much to be desired. However, it has many advantages:.

I downloaded JProfiler and installed it using the provided installer.

In Eclipse, you use the “Profile” command, which uses the same “Launch Configurations” as the “Run” and “Debug” commands. At this point, you’ll be transferred to JProfiler to start the profiling session.

It took me less than half an hour to start profiling including the download and titorialwithout any prior knowledge of the product and without reading any documentation.

It took me another half an hour to explore all the views and understand where I can start cutting execution time. About half an hour later, I was running much faster. Since then, I had a chance to use JProfiler on a number of occasions and it just works: Jpprobe don’t need any special preparation or setup: I just launch JProfiler using my existing launch configuration and a couple of minutes later I have the results.


I even tried it on Windows, as well and it works exactly the same. I’m not an expert user and my experience with JProfiler is limited. I took a few screenshots to show how simple yet powerful is JProfiler. The first screen is the Session Startup, which is the first dialog you get when you launch a new profiling session. What I like most about this window is the two lower bars that give you an estimate on how intensive this profiling session is going to be in terms of memory and CPU usage.

If you change any of the profiling parameters, these bars will reflect the change. Going into the profile settings, you get an assortment of configuration options:. You can choose from predefined settings or use a custom settings. Once you select an option you’ll see some explanation in the dialog itself, so there’s no need to start looking for documentation.

My focus was on execution time of a simple Java program, so the default option worked best for me. When analyzing my execution time, the most helpful tool was the “Hot Spots” view:. In jprboe view, the most expensive calls are sorted in a descending order.

JProbe 8.0: The Java code, memory, and coverage profiler is back

You can expand the call and see which methods invoked it and, for each of those methods, what was its’ share in the overall performance cost. This graph is updated every 5 seconds while the program executes. In this graph, each method gets a color according to its’ contribution to the overall performance. The more expensive the call, the darker it will be. For each method you can expand the callers and methods being invoked. All of these views can be exported to a readable HTML format, including the graphs.


It is my opinion that every professional developer should know how to profile code. I don’t believe profiling is an art which should be left to dedicated performance teams my former employer took that approachmostly because it is the combination of knowing the code and mastering the profiling technique which yields the best results.

In an ideal situation, every developer should have a profiler in his or her arsenal, ready to be launched at any given time. Should you buy a profiler? Even if TPTP works on your platform, it is still behind the commercial tools.

It seems that profilers are one of the few segments in the development tools market, where open source tools are not catching up with their commercial counterparts. It is more of a question of how you value your time. You can read my related post of the subject from one year ago: When saving a buck actually costs you more.

The JProbe Profiler (Sun Java System Application Server Platform Edition 9 Developer’s Guide)

JProfiler will simply provide the results faster. Learn more—download the whitepaper.

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However, it has many advantages: Very simple to use, compared to tools in its’ class. Provides all the information you will desire with extensive views and predefined filters to make sure you’ll get just the information you need.

JProfiler: Your Java Code Could be Running Faster in Under Two Hours

Relatively low execution overhead with many profiling options instrumentation, sampling, etc. It tutorila the information while the program is running, as opposed to other tools I’ve used, where you have to stop the analysis to get some results.

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