@<1657556312684236800:profile|ManiacalSeaturtle63> yep... that updates indeed the clearml.config in the remote agent pod in the cluster 😃

clearmlConfig: |-
    sdk {
      aws {
        s3 {
            # default, used for any bucket not specified below
            key: ""
            secret: ""
            region: ""
            bucket: "clearml"

            credentials: [
                {
                    # This will apply to all buckets in this host (unless key/value...

Hey @<1523701205467926528:profile|AgitatedDove14> ,
sorry, I am quite new to slack... forgot to submit my changes of the answer...

When you are saying parallel what do you mean? from multiple machines ?

yes, or (because I deployed clearml using helm in kubernetes) from the same machine, but multiple pods (tasks).

Once a dataset was finalized the only way to add files is to add another version that inherits from the previous one (i.e. the finalized version becomes the parent of the ...

@<1523701205467926528:profile|AgitatedDove14>

When you are saying parallel what do you mean? from multiple machines ?

I think I need to use git credentials in the agent helm chart. Do I really need to specify a remote git repo and if so, how can i do that? Is that also something, that need to be configured in the helm chart? or in the code of the pipeline

@<1523701087100473344:profile|SuccessfulKoala55> thanks a lot!

@<1657556312684236800:profile|ManiacalSeaturtle63> o.O wow ,... thanks for the awesome hint! how blind I was to not see that in the values file! THANKS a lot... will try that

actually, that solved my question 😃

@<1523701087100473344:profile|SuccessfulKoala55>

to question 1:
passing Dataset artifacts between tasks seems to be not possible, getting the following error message:

TypeError: cannot pickle '_thread.lock' object. 

So i guess its not possible to upload files from different tasks in parallel to the dataset, before finalizing it.