William10/30/2023, 2:34 PM
Rahul Mehta10/30/2023, 3:11 PM
William10/30/2023, 4:27 PM
Rahul Mehta10/30/2023, 4:27 PM
William10/30/2023, 5:40 PM
Niels Bantilan10/30/2023, 5:53 PM
But the KubeflowPipelines specifically raised some concerns on how to run it locally for debugging and more best practices around software engineeringKF is notoriously hard to debug locally. Flyte tasks/workflows are all locally-runnable functions (with a few exceptions) so you can put them through unit tests in your CI/CD system.
So “officially” there is no integration between Flyte and the Kubeflow platform, only the possibility to use some components on my own, right?We have official integrations with kf training operators (see pytorch kf and tensorflow kf plugins for example). Re: kserve and notebooks, yes you’ll have to deploy and manage those components yourself, but at that point other serving and notebook solutions would probably work just as well.