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🚀 KubeSphere v4.1.2 with Enhancements and Bug Fixes is available now. Read the release notes for v4.1.2 → close
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    1. 1.Create a KubeSphere Cloud account and log in to the platform.
    2. 2.In the upper-right corner, click Console, and then click Lite Cluster on the left.
    3. 3.Create a K8s cluster with KubeSphere installed.
    4. 4.Access KubeSphere with the default account and password (admin/P@88w0rd).
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  2. Documentation / 
  3. Cluster Management / 
  4. Application Workloads / 
  5. Workloads / 
  6. Edit Workload Information

Documentation

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    Edit Workload Information

    This section explains how to edit workload information.

    You can edit the alias and description of the workload. KubeSphere does not support editing the name of an already created workload.

    Prerequisites

    You should join a cluster and have the Application Workload Management permission within the cluster. For more information, refer to "Cluster Members" and "Cluster Roles".

    Steps

    1. Log in to the KubeSphere web console with a user who has the Application Workload Management permission, and access your cluster.

    2. Click Application Workloads > Workloads in the left navigation pane.

    3. On the Workloads page, click Deployments, StatefulSets, or DaemonSets to open the list of workloads.

    4. Click more on the right of the workload you want to edit, then choose Edit Information from the dropdown list.

    5. In the Edit Information dialog, set the alias and description for the workload, then click OK.

      Parameter Description

      Alias

      The alias of the workload. Aliases can be the same for different workloads. An alias can only contain Chinese characters, letters, numbers, and hyphens (-). It cannot start or end with a hyphen (-) and has a maximum length of 63 characters.

      Description

      The description of the workload. The description can contain any characters, with a maximum length of 256 characters.

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    Thanks for the feedback. If you have a specific question about how to use KubeSphere, ask it on Slack. Open an issue in the GitHub repo if you want to report a problem or suggest an improvement.

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