Lingo question: is MLOps like devops for ML, or like flops for ML? I wonder because… actually, either case seems like somewhere Amazon might be losing experts to hot startups.

The former. Basically: build, train, test, deploy, monitor, repeat for ML algos.

As the other response said. It’s DevOps for ML. They have Amazon SageMaker which is the managed ML/MLOps offering that we use extensively because we’re a small team. The documentation is awful