None
So this is the only place we need to change to support it, do you feel like messing around with it and adding IAM roles ?

As we can’t create keys in our AWS due to infosec requirements

Hmmm

I suggest a bump in the GitHub issue

As we can’t create keys in our AWS due to infosec requirements

Still not supported 😞

Was asking about using iam roles without keys

None

Let me check

@<1523701205467926528:profile|AgitatedDove14> - any thoughts on this. Would like to use profile / iam roles as well.

yep still referring to the S3 credentials, somewhat familiar with boto and IAM roles

@<1687643893996195840:profile|RoundCat60> I'm assuming we are still talking about the S3 credentials, sadly no 😞
Are you familiar with boto and IAM roles ?

Is it possible to use an IAM role rather than user credentials in the clearml.conf file?

Same credentials configuration for the ClearML-Agent.
Notice that when a task is created, in the UI, under EXECUTION tab, you can find (and change if you like) the output destination.

Hi @<1687643893996195840:profile|RoundCat60>

I think the best way will be to configure a default output_uri to be used by all tasks:  None , under default_output_uri just write your bucket path ( None ).
When using S3/google storage/azure, you will also need to add your credentials in this section - None (s3 in this link),
and install clearml with storage requirements:
pip install clearml[s3] for S3
pip install clearml[azure] for azure
pip install clearml[gs] for google storage

or have I got this wrong, and it's the clearml-agent that needs to read/write to S3?

is there any documentation for connecting to an S3 bucket?

thank you

@<1687643893996195840:profile|RoundCat60> Looks like the docs have not caught up yet with recent structure change in the repo which renamed the 'server' folder to 'apiserver'.
So... the correct link would be None