> Machine learning ops (aka “MLOps”) is a growing discipline for a reason: deploying and managing these apps is hard. It requires specific knowledge and skills that many developers and ops folks don’t yet have.

What are some of the things that make this tough or different? I was under the impression that your still running web apis that load a compiled asset(the model). It doesn't seem much different in that way