Why data scientists shouldn’t need to know Kubernetes This post is to argue that while it’s good for data scientists to own the entire stack, they can do so without having to know K8s if they leverage a good infrastructure abstraction tool that allows them to focus on actual data science instead of getting YAML files to work.

lmao i recently made the exact opposite point

Hey you present very well. You should present Perfect too some time 😛

I could try; tbh I’m still truggling to decide between prefect and airflow at my new gig

Unfortunately I haven’t seen a detailed one. This might be a bit there? Maybe you know of it since you’re from Chicago?

ill take a look over lunch