![]() ![]() JProfiler offers a rich comparison facility to see what has changed between two or more snapshots. At a later time you can open these snapshots in the JProfiler GUI or programmatically export profiling views with the command line export tool or the export ant task.Snapshot comparisonsIn JProfiler, you can save a snapshot of all current profiling data to disk. Adjust the Readiness Probe, if there is one defined for the application, or disable it altogether if it causes Pod restarts before being able to connect JProfiler to the JVM.In addition, JProfiler provides numerous integration wizards for all popular application servers that help you in setting up your application for profiling.Offline profiling and triggersYou do not have to connect with the JProfiler GUI to the profiled application in order to profile it: With offline profiling you can use JProfiler's powerful trigger system or the JProfiler API to control the profiling agent and save snapshots to disk. Start JProfiler up locally and point it to 127.0.0.1, port 8849.Īt this point JProfiler should connect to the JVM in the Pod and the application startup should continue.If it is not, specify a different port and use it in the step below. The local port 8849 (the number to the left of “:”) must be available. Set up port forwarding from the local host to the JProfiler agent’s port in the Kubernetes Pod (8849):. ![]() Next, connect local JProfiler to the JVM that is in a Kubernetes Pod: If the JProfiler GUI is started first then it has to be configured to wait for the application to be started.Without the “nowait” argument, the application won’t start until JProfiler GUI connects to it.For example, by configuring spec:Īnother way is to use “replicas: 0”, deploy the application, and at a later point scale it to 1 when ready to profile the application. Running the Applicationĭeploy the application with the new deployment configuration and using a single replica. The reason is that with this configuration the profiling agent does not receive its profiling settings as command line parameters or from a config file but from the JProfiler GUI. That will block the JVM at startup and wait for a JProfiler GUI to connect. Notice that there isn’t a “nowait” argument. agentpath:/jprofiler/bin/linux-圆4/libjprofilerti.so=port=8849Ĭhange the path accordingly if using an image other than one built using the Dockerfile above. “Where” to add it depends on how the application is started and JVM arguments passed in: Add to the JVM startup arguments JProfiler as an agent.Add as part of application’s container definition:.If not defined already, add “initContainers” (Kubernetes 1.6 ) under “” and define an Init Container using JProfiler’s image name and tag (and if needed, replace “/jprofiler” with the location where JProfiler’s file directory is in that image):Ĭommand:.If not defined already, add “volumes” section under “” and define a new volume:.ConfigurationĬhange the application’s deployment configuration as follows: The above is for an older JProfiler version but it should work the same for a newer one. # Eliminate the version-specific directory Io.k8s.display-name="JProfiler from $" -H "User-Agent: Mozilla/5.0 (Macintosh Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/.62 Safari/537.36" \ JPROFILER_DISTRO="jprofiler_linux_10_1_1.tar.gz" \ If you don’t have a JProfiler image, here is a sample Dockerfile that can be used to build one (check if your JProfiler license agreement allows you to do that): FROM centos:7 ![]() This assumes that an application image and working deployment configuration for the Java application exist. This way, our JVM can reference at startup time the JProfiler agent from the shared volume. The approach here is to use an Init Container to copy the JProfiler installation to a volume shared between our Init Container and the other Containers that will be started in the Pod. For the most part, they are like regular Containers and have the property that once their execution completes successfully they are terminated only then the application Container(s) in the Pod are started. A Pod can have one or more Init Containers. Below is an example of how to accomplish just that with one such tool – JProfiler.Ī definitely not recommended approach is to “bake” JProfiler in the application’s image, which leads to tight coupling and larger application image.Ī better way is to use an Init Container. Running a JVM in Kubernetes Pod somewhat complicates things when it comes to connecting to it from an external profiler tool. ![]()
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