Click the name of the pre-created workspace on the left, as shown in Figure 8.įigure 8: Click the name of the pre-created user workspace.Īfter a few seconds, you will be moved to the workspace landing page, as shown in Figure 9.įigure 9: The workspace landing page in CodeReady Workspaces. When you log in, you will be moved to your personal dashboard. Navigate to the che-test project in your developer console, then click a URL to open one of the pods in CodeReady Workspaces, as shown in Figure 7.įigure 7: Open a pod in CodeReady Workspaces. ![]() For example, as shown in Figure 6, you might see a workspace pod running in the user1-che project.įigure 6: A user workspace in the developer console’s topology view. Return to the OpenShift developer console and navigate to the userXX-che project, where “ XX” is the user number. Add the following development component to your CodeReady Workspaces devfile.json: Next, we’ll configure a devfile to install the migration toolkit for applications' IDE plug-in. Figure 5 shows the server configuration to create the CheCluster with customCheProperties.įigure 5: Add the custom Che properties to your server configuration.ĬodeReady Workspaces will create the number of namespaces required to deploy a CodeReady Workspaces pod for each user workspace. These properties allow the CodeReady Workspaces server to create namespaces for any number of user workspaces. ![]() Select the YAML view for creating a CheCluster, as shown in Figure 5, then add the following custom Che properties in the server configuration: customCheProperties:ĬHE_INFRA_KUBERNETES_NAMESPACE_DEFAULT: -che Create a New CheClusterĪfter you select the che-test namespace, you will be presented with the option to create a new CheCluster, as shown in Figure 4. Select the che-test namespace, then click Install, as shown in Figure 3.įigure 3: Select and install the che-test namespace. Select the Red Hat CodeReady Workspaces Operator, as shown in Figure 2.įigure 2: Install a CodeReady Workspaces Operator from the OpenShift OperatorHub. Navigate to Operators > OperatorHub and type “ codeready” in the search box. As shown in Figure 1, I’ve named the example project che-test.įigure 1: Create a new project in your OpenShift 4 cluster. Click Create Project in the top-right corner of the screen, then create a project. Log into an OpenShift 4 cluster with cluster-admin credentials, then use the menu on the console’s left side to navigate to Home > Projects. To start, we will create a new project and install a CodeReady Workspaces Operator. It is available through Red Hat Runtimes. The toolkit has a comprehensive set of cloud- and container-readiness rules to assess applications for Kubernetes deployment. ![]() Note: Migration toolkit for applications is an extensible and customizable rule-based tool that helps simplify Java application migrations. After that, I’ll show you how to use the toolkit to analyze migration issues and generate potential solutions. We will set up our development environment in Red Hat CodeReady Workspaces. This article guides you through configuring Red Hat’s migration toolkit for applications to analyze an existing monolithic Java application. Source code or application archive analysis.Identifying migration issues and providing solutions.As a developer, you can apply the following features to a broad range of transformation use cases: Transforming monolithic Java applications into distributed, cloud-native microservices is never easy, but Red Hat’s migration toolkit for applications helps you understand and evaluate the migration path.
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