Thx again for your time -

Where the experiment is being executed

Not sure I understand what you mean by this -
Assuming that we are running the ClearML on GKE (we have succeeded doing so) - and running the python code from COLAB or locally. Where do we configure the Google Storage ? how can the helm / k8s dynamically load the clearml.conf ? is it only from values.yaml ?

Where you view your experiment

In mlflow I was able to view the artifact directly (and not through the WebApp) in the bucket- Is it possible to do so in ClearML?