ConverJens

@dommgifer @elikatsis @fengredrum I'm having the same issue using KFP 1.7: https://github.com/kubeflow-kale/kale/issues/367

I'm having issues with programatically authenticating using dex for an on-prem install. Is there any progress on this or some standard way of authenticating using dex?

@rafaelbarreto87 For our purposes, this was solved. See: https://github.com/kubeflow/kubeflow/issues/5345

I agree > > @rafaelbarreto87 For our purposes, this was solved. See: > > [kubeflow/kubeflow#5345](https://github.com/kubeflow/kubeflow/issues/5345) > > @ConverJens Thanks a lot! This solves for some of our use cases as...

Hi @yrianderreumaux, I think you might have missed a thing or two: First: the Evaluator usually works perfectly well with raw data as this is how the basic serving signature...

@yrianderreumaux Thanks for the clarification, now I understand the issue! As far as I can tell, your first serving fn can be used for inputing tf Examples, hence it should...

Happy to help @yrianderreumaux and best of luck!

@dvaldivia I don't think it's possible to set any k8s value (resources, env vars, secrets etc) on individual steps but you can set them on the pipeline level using the...

@jccarles Are you using beam as a sidecar to your flink deployment? Is pipeline_functions your own custom code?

@jccarles How are you passing your preprocessing code to beam then? Are you pointing to a module file or function? Can you paste the config of your transform component as...