Niklas Scheidthauer
Niklas Scheidthauer
A declarative way to describe the entire pipeline enables Data Scientists to operationalize their models. That's a great step in the right direction! But many developers are using Windows to...
I would like to piggyback on this issue as we are trying to achieve a more "organized" project structure by separating the `pipeline` code from the `model serving` code. So...
@noklam Yes, moving the `pipeline_registry.py` one level further down would separate the pipeline specifics from non-kedro or "lesser-kedro" related things.
@agilgur5 Thanks for your response. The issue here is, that we have a reverse proxy in front of the argo server. I don't want argo to use my client cert,...
Thanks for the investigation! I will create a feature request.
Hi @sonika-shah, thanks for the instructions. I ran the reindexing, but unfortunately, the error still persists. 
@sonika-shah Yes, 1.4.1
Thanks. I will try out 1.5.0 and report back :) Edit: @sonika-shah I got the same bug as https://github.com/open-metadata/OpenMetadata/issues/17593. Once that is resolved, I will try it out.
With 1.5.1, I do not encounter those errors anymore when I'm browsing the UI.
Thanks @gorkem and @amisevsk for the information! I did not know about ClusterStorageContainers. But unfortunately, as far as I can tell, Red Hat OpenShift AI only supports paths to either...