How to analyze application performance using JProfiler In short, you are connecting JProfiler GUI to a remote JProfiler agent that is profiling your application. To do this, you will need the IP address of the remote machine as well as the port where the JProfiler agent is running. And from your local JProfiler installation, you will connect to the JProfiler agent. In remote mode, you will start your JProfiler agent on a remote machine, probably the same machine where the application is running. In this mode, the application and JProfiler are running on the same machine. If you run in local mode, you have to choose data collection mode when starting the JProfiler. JProfiler offers two modes to start the profiling of an application. How to run JProfiler on a running application If you are doing performance analysis, this should be your default choice even with the drawback, it provides large data that is helpful to analyze performance. The advantage is the accuracy of the data. Instrumentation – This mode collects the entire data, but also heavy on performance affecting the application.The advantage of using this feature is that system performance is not affected when running JProfiler. This feature doesn’t provide method-level statistics. Sampling – This does not necessarily provide the accuracy of the collected data.There are two ways you can collect data while using JProfiler. I will not be covering that in this post. JProfiler also provides database analysis that can help in understanding if there are any performance issues with database queries. Therefore, it helps to fix memory leak issues. ![]() Allocations – You can analyze the objects on the heap, reference chains, and garbage collection. ![]()
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