I build and maintain large-scale Kubernetes infrastructure for a living the way I put it is: easy to setup, somewhat more challenging to maintain.
It's not rocket science, but like any complex computing tool it requires dedicated attention especially if you are going to run more than a handful of clusters. A lot of the tooling in the ecosystem falls flat here, it all solves the Day One: Getting Started problem but often punts on Day 2: Operations and then once it realizes it is actually a problem hamfistedly engineers a bolt-on solution.
So back to my point: Provisioning and setup easy... maintenance moderately more complex.
