Hi @<1523701087100473344:profile|SuccessfulKoala55> ,
thanks for the pointers.

I didn't know that the plot data is stored in elasticsearch. Good to know. It relates to the rest of my questions in that I want to understand where everything is saved, all the parts of my experiments. The plots are actually the most important part, since I have direct access to the artifacts I save (like, say, models) but not to the plot data which helps me compare and rank experiments. I mention tensorboard because that's what's producing the traces. I'm still not sure if clearml is actually storing plot data inside elasticsearch or simply linking to the tensorboard's tfevent files.

I still have no idea what the correct way to set up the access to the blob storage. Again, writing from the sdk is fine, retrieving from the webui is not. As described in the first screenshot, the first two fields for web app cloud access , "bucket" and "key", the values written by clearml are "azure", which can't be right. My question is - what real world azure concepts are these two names related to, so I can have a better guess at what the correct values for them might be (or simply a working example would be amazing).

Regarding the file_server configuration, would you be so kind to give an example. I couldn't find anything. The way i managed to get artifact upload working was by using the output_uri in Task.init .
What I have in my config right now for api.files_server is:

api {
    files_server: 

}

Imagine my confusion 😭

Thanks again for your advice.