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Copy file name to clipboardExpand all lines: docs/book/getting-started/zenml-pro/self-hosted.md
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@@ -807,12 +807,12 @@ However, this feature is currently supported with helper Python scripts, as desc
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```bash
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kubectl get secret --namespace zenml-pro zenml-pro -o jsonpath="{.data.ZENML_CLOUD_ADMIN_PASSWORD}"| base64 --decode;echo
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```
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2. Create a `users.yml` file that contains a list of all the users that you want to create for ZenML. Also set a default password. The users will be asked to change this password on their first login.
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2. Create a `users.yaml` file that contains a list of all the users that you want to create for ZenML. Also set a default password. The users will be asked to change this password on their first login.
print(f"Login failed. Status code: {response.status_code}")
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print(f"Response: {response.text}")
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main()
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```
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The script will prompt you for the URL of your deployment, the admin account username and password and finally the location of your `users.yml` file.
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The script will prompt you for the URL of your deployment, the admin account username and password and finally the location of your `users.yaml` file.
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Here in the members tab, add all the users you created in the previous step.
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Here in the members tab, add all the users you created in the previous step. Make sure to [assign the appropriate role](roles.md#organization-level-roles) to each user.
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For each user, finally head over to the Pending invited screen and copy the invite link for each user.
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Finally, send the invitation link, along with the account's username and initial password over to your team members.
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Finally, send the account's username and initial password over to your team members.
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## Stage 2/2: Enroll and Deploy ZenML Pro workspaces
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#### Accessing the Workspace Dashboard
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The newly enrolled workspace should be accessible in the ZenML Pro workspace dashboard and the CLI now. You need to login as an organization member and add yourself as a workspace member first):
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The newly enrolled workspace should be accessible in the ZenML Pro workspace dashboard and the CLI now. If you're the organization admin, you may also need to add other users as workspace members, if they don't have access to the workspace yet.
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Then follow the instructions in the checklist to unlock the full dashboard:
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Then follow the instructions in the "Get Started" checklist to unlock the full dashboard:
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#### Accessing the Workspace from the ZenML CLI
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To login to the workspace with the ZenML CLI, you need to pass the custom ZenML Pro API URL to the `zenml login` command:
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