Running a JVM in Kubernetes Pod somewhat complicates things when it comes to connecting to it from an external profiler tool. Best mac for the money. Below is an example of how to accomplish just that with one such tool – JProfiler.
A definitely not recommended approach is to “bake” JProfiler in the application’s image, which leads to tight coupling and larger application image.
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A better way is to use an Init Container. A Pod can have one or more Init Containers. 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.
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. This way, our JVM can reference at startup time the JProfiler agent from the shared volume.
JProfiler (standalone or plugin in IntelliJ) IntelliJ; A web application that you can profile; Understanding JProfiler. First JProfiler is a tool to understand what is going on inside a running JVM. Before we run the test, we should understand the basic functionality of JProfiler and how it will help us in performance improvement. JProfiler Alternatives. JProfiler is described as 's intuitive UI helps you resolve performance bottlenecks, pin down memory leaks and understand threading issues'. There are six alternatives to JProfiler for Windows, Linux, Mac, BSD and Solaris. The best alternative is VisualVM, which is both free and Open Source.
Pre-requisites
This assumes that an application image and working deployment configuration for the Java application exist.
Jprofiler is super easy and intuitive to use- If you are running anything on jvms, it’ll detect it on your host machine, show you the list of jvms and all you need to do is to click on it and set some options for the data dashboard. JProfiler is a unique tool when compared to any of its peers as:. The tool uses a combined approach to provide different perspectives. The tool provides a faster 4 in 1 approach where the 4 views in one window correspond. Learn how to attach JProfiler to a remote JVM running in Kubernetes pod to profile the Java application. The approach uses an init container to make the JProfiler installation available to the JVM at startup time without baking JProfiler into the application's image.
We will also need a JProfiler image. 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):
The above is for an older JProfiler version but it should work the same for a newer one.
Configuration
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Change the application’s deployment configuration as follows:
- If not defined already, add “volumes” section under “spec.template.spec” and define a new volume:
- If not defined already, add “initContainers” (Kubernetes 1.6+) under “spec.template.spec” 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):
- Add as part of application’s container definition:
- Add to the JVM startup arguments JProfiler as an agent. “Where” to add it depends on how the application is started and JVM arguments passed in:
Change the path accordingly if using an image other than one built using the Dockerfile above.
Notice that there isn’t a “nowait” argument. That will block the JVM at startup and wait for a JProfiler GUI to connect. I tune download free for pc. 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.
Running the Application
Deploy the application with the new deployment configuration and using a single replica. For example, by configuring
Another way is to use “replicas: 0”, deploy the application, and at a later point scale it to 1 when ready to profile the application.
Notice that:
- Without the “nowait” argument, the application won’t start until JProfiler GUI connects to it.
- If the JProfiler GUI is started first then it has to be configured to wait for the application to be started.
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Next, connect local JProfiler to the JVM that is in a Kubernetes Pod:
- Set up port forwarding from the local host to the JProfiler agent’s port in the Kubernetes Pod (8849):
Use something like
to find out what the pod’s name is.
The local port 8849 (the number to the left of “:”) must be available. If it is not, specify a different port and use it in the step below.
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- Start JProfiler up locally and point it to 127.0.0.1, port 8849.
At this point JProfiler should connect to the JVM in the Pod and the application startup should continue. 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.
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Happy Profiling!