Tried deploying this in k8s for data analysts and data engineers to use (mostly with pySpark in mind) as a way to provide non-developer crowd with a ready-made

Tried deploying this in k8s for data analysts and data engineers to use (mostly with pySpark in mind) as a way to provide non-developer crowd with a ready-made environment with batteries included, e.g. all of the database and local s3 connections ready, popular libraries installed, secrets vault inregrated etc. Didn't work out all that well for a number of reasons. The most important thing is, users are used to Jupyter. Zeppelin's ui is very different, and most people are not willing to jump on yet another learning adventure just for the sake of it. Then, it's not as widely adopted and supported as JupyterHub- with JupyterHub you can easily integrate whatever you want to. Want several simultaneous jupyters for each user? Sure. Want separate quotas, different k8s namespaces for user groups? Easy. A shitton of plugins? Here you go. A selection of different images for each user, depending on the tooling required? Welcome. Third thing is really unfortunate, but Zeppelin proved to have a less than stellar stability and performance, at least in my experience. People are wary of something that's often unreliable. So I've finally decided to just go with JupyterHub, and users can't be happier. Everything's fully customized, things are smooth and familiar to a non-dev crowd. Another, and in some ways, better solution would be to go with vscode, but I doubt a typical analyst/ds would prefer vscode, at least for now. All in all, I don't see a place for Zeppelin- it can't compete with what's already on the market and yet doesn't bring anything new and worthwhile.