Cloudera Docs

Upgrading Agent Studio

You can upgrade the Agent Studio application, by updating the ML Runtime image for Agent Studio in an air-gapped environment.

In air-gapped environments, the new ML Runtime image is published through the ML Runtime repository file.
  1. The ML Runtime image must be synchronized with your internal environment:
    1. Synchronize the ML Runtime Repository file with the self-hosted ML Runtime Repository file.
    2. Download ML Runtimes from the locations specified in the repo-assembly.json file: https://archive.cloudera.com/ml-runtimes/[***RUNTIMES VERSION***]/artifacts/repo-assembly.json
    3. Get the list of images for a particular release, that is ${ml_runtime_version}.
    4. Ensure that docker is running on your machine or environment.
    5. Use the docker pull and docker save commands for each of the images in the .json manifest file to create a tar.gz file, that you can copy to your air-gapped environment.
  2. Once the new ML Runtime image is available in the Runtime catalog, an upgrade alert appears in the Agent Studio application. Upgrade Agent Studio using the provided alert link.
    The existing ML Runtime image is replaced and the application restarts.