Add Existing Kubernetes Namespaces to a Kube AI Hub Workspace

A Kubernetes namespace is a Kube AI Hub project. If you create a namespace object not from the Kube AI Hub console, the namespace does not appear directly in a certain workspace. But cluster administrators can still see the namespace on the Cluster Management page. At the same time, you can also place the namespace into a workspace.

This tutorial demonstrates how to add an existing Kubernetes namespace to a Kube AI Hub workspace.

Prerequisites

• You need a user granted a role including the permission of Cluster Management. For example, you can log in to the console as admin directly or create a new role with the permission and assign it to a user.

• You have an available workspace so that the namespace can be assigned to it. For more information, see Create Workspaces, Projects, Users and Roles.

Create a Kubernetes Namespace

Create an example Kubernetes namespace first so that you can add it to a workspace later. Execute the following command:

kubectl create ns demo-namespace

For more information about creating a Kubernetes namespace, see Namespaces Walkthrough.

Add the Namespace to a Kube AI Hub Workspace

1. Log in to the Kube AI Hub console as admin and go to the Cluster Management page. Click Projects, and you can see all your projects running on the current cluster, including the one just created.

2. The namespace created through kubectl does not belong to any workspace. Click on the right and select Assign Workspace.

3. In the dialog that appears, select a Workspace and a Project Administrator for the project and click OK.

4. Go to your workspace and you can see the project on the Projects page.