Copy your startup.sh (Linux, Unix, Mac OS X) or startup.bat (Windows) file to a file we will call startup_with_yjp.sh/bat.Ģ. Of course this quick benchmark is not very complex and there are cases where the profiler may have a heavier impact, but usually it should average in the same ballpark (and our own experience confirms this). If we calculate this as a percentage, using the throughput values, this amounts to a 3% slowdown due to profiling, which seems perfectly reasonable (as well as predictable). So it is indeed perfectly possible to use this profiling configuration during load tests or even in pre-production or production scenarios where we can accept the performance impact. You'll notice that the average page serving time has also increased and this is expected, but despite this we are still seeing acceptable performance. So we get 56.2 pages per second, which will serve as our reference performance benchmark. Now let's see what we get with the profiler activated (CPU Profiling with sampling and NO J2EE profile, Stack telemetry activated, nothing else):Īs you can see there is an impact as we get 54.6 pages per second, but on the overall throughput the difference is about 2 pages/sec over 20'000 samples. This is the performance I got without YourKit profiling activated: In order to test the performance of the profiler, I did a quick JMeter test hitting on the Jahia home page of a default Jahia 6.6 installation with 400 threads on a laptop. We highly recommend you use the YourKit online documentation to go more in-depth into how the product works. #YOURKIT JAVA PROFILER KEYGENGURU SERIAL KEY MANUAL#So once again, we will not be held responsible if you break anything, but you might learn some interesting things in the process so it might be worth it.Īlso this guide is in no way an exhaustive user manual to the YourKit profiler tool but simply serves as a starting point on diagnosing server issues with this tool. Using these tools should be a last-resort type of solution, once you have tried alternative diagnosis scenarios and once you have practiced the methods and tools presented here at least a few times. In this guide we will talk about some of the important options used to diagnose performance issues on pre-production or production systems, but of course we do not give any guarantees to the stability nor the performance of the production system when running with the profiler activated, and will not be help liable if you break anything. Of course the profiler has an impact on performance (and also on memory usage), but if well configured, these may be controlled and taken into account. #YOURKIT JAVA PROFILER KEYGENGURU SERIAL KEY SOFTWARE#It was initially designed to be used in pre-production systems and we have used it successfully even when benchmarking our software under high loads. We at Jahia have been using for a long time the YourKit Java Profiler. Java Profilers are usually a "last resort" type of solution, as they are the tools that have the most effect on performance, but when all other tools have failed to properly diagnose a problem, usually the profiler should raise the issues properly. They may arise from either software issues, a back-end system that is not behaving as expected, a network issue or any other internal or external factor (don't forget to check available disk space :)).įortunately there are a lot of different tools available, ranging from built-in JVM tools to Java Profilers. Jahia is the only DXP that truly empowers you to deliver personalized journeys powered by customer data Learn how hereĪmong the problems that are the hardest to diagnose in a web application installation are performance issues.
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