They live in an Azure Storage Account (Azure's not-S3). They're mounted as a network storage into pods in our kube cluster. All we need to do to deploy is copy the data into `/<thing>/<timestamp>` and the code finds the newest version and loads it up. So really I'm just looking for a way to abstract azure blob storage from my ML people and to allow them to do the equivalent of `docker tag...` to choose what we roll out.