After T420978 we should move all the other Docker images deployed on ml-serve clusters to the /ml prefix in the Docker registry. The procedure is the same as T420978, but this time I'll create a script to do the move since it will involve more images.
Overall, I would proceed in this way:
- Identify what are the images that we want to move to S3. We don't have a way to do deep clean up on Swift/Docker-Distribution yet, so we have ML images from the beginning of time. We should move only the most recent/used ones, discarding the rest. I'll post a list here so people will be able to validate it.
- Copy images over to the S3 backend.
- Switch deployment-charts and inference-services repos to use the new naming scheme (basically adding /ml in the image names).