What you need though is to start a port forwarding proxy on your local machine. Port forwarding doesn’t require you to define any additional objects like Service or Route to enable it. OpenShift features port forwarding that allows you to connect to an arbitrary port of a pod running on OpenShift. How are we going to connect to these ports? Let’s set up port forwarding on the local machine next. This verifies that our JVM options are in effect and the debug port and JMX ports are open. Picked up JAVA_TOOL_OPTIONS: -agentlib:jdwp = transport =dt_socket,server =y,address =8000,suspend =n = true .port = 3000 .rmi.port = 3001 =127.0.0.1 .authenticate = false .ssl = false $ oc logs dc/hello-world | grep JAVA_TOOL_OPTIONS For example, you can open the DeloymentConfig for editing like this: Go ahead and modify the DeploymentConfig or Pod descriptor of your application in OpenShift to add the JAVA_TOOL_OPTIONS variable. I recommend using this variable as there is a great chance that this variable will work no matter how deep in your wrapper scripts you are launching the JVM. It turns out that there exists an environment variable JAVA_TOOL_OPTIONS that is interpreted directly by the JVM and where you can put your JVM configuration options. Next, we need to convey our configuration options to the JVM running inside the OpenShift pod. However, there’s no RMI server running on the local machine, so what’s the deal? As you will see in the next section, we are going to forward the local port 3001 back to the remote server. Based on our configuration, the client is going to connect to 127.0.0.1:3001. After the successful lookup, the client initiates a second connection to the RMI server. And as a matter of fact, there are two RMI ports needed for this communication: * RMI registry port * RMI server portĪt the beginning, the client connects to the RMI registry on port 3000 and looks up the connection to the RMI server. By default, JMX utilizes RMI as the underlying technology for the communication between the JMX client and the remote JVM. This set of options deserves a bit more explanation.
You can follow the build logs by issuing the command: "hello-world" createdīuild scheduled, use 'oc logs -f bc/hello-world' to track its progress.Īccess your application via route 'hello-world-myproject.192.168.42.' Run 'oc status' to view your app. "hello-world" createdĭ "hello-world" created * APP_OPTIONS = * GITHUB_TRIGGER_SECRET =EM325a5K # generated * GENERIC_TRIGGER_SECRET =CBCcCIWr # generated -> Creating resources. Sample Vert.x application build with Maven > Deploying template "myproject/vertx-helloworld-maven" to project myproject You can get this application up and running in just two steps.įirst, issue this command to build an S2I builder image for Vert.x applications:
Jprofiler eclipse tomcat how to#
This application was originally created to demonstrate how to build Vert.x-based microservices on OpenShift. Let’s deploy a Hello world application that I found on GitHub. If you already have your Java application running on OpenShift, you can jump ahead to the next section. This is how the complete setup is going to look like:įor those of you who want to follow along, let’s set up a test application which we will use for debugging. I am going to use OpenShift v3.11 that I installed using Minishift and a test application built with Java OpenJDK 1.8. Attach debugger and VisualVM to the forwarded ports.The whole setup can be divided into three steps: Instead, we are going to leverage the port-forwarding feature of OpenShift. The approach described here doesn’t make use of the Jolokia bridge.
In this article I am going to show you how to attach a debugger and a VisualVM profiler to the Java application running on OpenShift.
Jprofiler eclipse tomcat software#
This post was originally published on Ales Nosek - The Software Practitioner.
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