By default, Data Science & AI Workbench expects the wildcard domain to be the same for the primary platform server and the application domain.

If your particular implementation uses different domains, you’ll need to update the configuration file for the platform with the fully qualified domain name (FQDN) for each server.

Make sure the wildcard domain has a TLS cert and DNS entry that meets these requirements before you follow the process below to specify it as an apps-host or workspace-host.

  1. Log in to Workbench, select Menu in the top right corner and click the Administrative Console link displayed at the bottom of the slide out window.

  2. Click Manage Resources.

  3. Log in to the Operations Center using the Administrator credentials configured after installation.

  4. Select Configuration from the menu on the left.

  5. Verify that the anaconda-enterprise-anaconda-platform.yml configuration file is selected in the Config map drop-down menu.

    Any changes you make will impact how Workbench functions, so we strongly recommend that you save a copy of the original file before making any changes.

  6. Scroll down to the Deployment server configuration section of the Config map:

  7. Search for and update the apps-host setting with the FQDN of the host server you’ll be deploying apps to, if it’s different than the default Kubernetes server.

  8. Scroll down to the Workspace server configuration section of the Config map:

  9. Update the workspace-host setting with the FQDN of the host server you’ll be using as a workspace server, if it’s different than the default Kubernetes server.

  10. Click Apply to save your changes.

  11. To update the Workbench server with your changes, restart services by running these commands on the master node:

    sudo gravity enter
kubectl get pods | grep ap- | cut -d' ' -f1 | xargs kubectl delete pods