It’s interesting that this critique of kubernetes is on a blog called “python speed” because my most recent project with kubernetes was deploying a large dask cluster. For this use case k8s was really valuable. It made the devops part so much easier than it otherwise would have been, so we could put most of our time into application logic. In other words, when we wanted to achieve substantial “python speed” kubernetes was very helpful. For data engineering projects, even with a small number of data engineers, it can be a big productivity booster.
Personally, I like kubernetes and find it easier to use than other devops tool sets, so it’s become my go-to tool. Probably wouldn’t recommend it to someone who doesn’t know it and has a simple app architecture.
Personally, I like kubernetes and find it easier to use than other devops tool sets, so it’s become my go-to tool. Probably wouldn’t recommend it to someone who doesn’t know it and has a simple app architecture.