by carnitas on 4/21/20, 8:20 PM with 12 comments
Can anybody recommend a book or other resources that deals with these requirements? I've read "Designing Data Intensive Applications" and find it wonderful. I wonder if there's something similar for architecture / kubernetes.
Thanks for your suggestion!
by QuinnyPig on 4/21/20, 9:42 PM
That said, there may well be business constraints forcing the decision, and that's fine--I'm not trying to pass judgement any! My point is simply that by building something that can be deployed to any and all environments you're reducing the list of what can be used down to a very small set of primitives.
by Jugurtha on 4/22/20, 4:14 AM
""" This project will help you set up your own JupyterHub on a cloud and leverage the clouds scalable nature to support large groups of users. Thanks to Kubernetes, we are not tied to a specific cloud provider. """
by aprdm on 4/23/20, 6:09 AM
If you are going to use Kubernetes I hope it gives you a lot more than the former.
hint: it usually doesn't if you don't have multiple teams.
by Spooky23 on 4/21/20, 11:15 PM
There are good reasons to do this, but it’s unlikely to save money. End of the day, you’re going to be committed (“locked in”) to something, whether that be a cloud provider, software company or budget for staff.
by quintes on 4/21/20, 11:50 PM
Have you thought of PAaS and managed databases? Just thinking. Of course if you’re all good to go on kubernetes go on then!