i had a misconception that the conf comes from the machine triggering the pipeline

Sorry, this one :)

AgitatedDove14 So it looks like it started to do something, but now it’s missing parts of the configuration

Missing key and secret for S3 storage access(i’m using boto credential chain, which is off by default…)

why isn’t the config being passed to the inner step properly ?

Try with sdk.development.default_output_uri as well

And i am logging some explicitly

and this is for a normal task

i had a misconception that the conf comes from the machine triggering the pipeline

What is still being sent to the fileserver?

that does happen when you create a normal local task, that's why i was confused

The parts that are not passed in both cases are the configurations from the conf file. Only the environment is passed (e.g. git python packages etc) , . For example if you have storage credentials in your conf file , they are not passed to a remote agent, instead the credentials from the remote agent are used when it runs the task.
make sense?

Artifacts, nothing is reaching s3

yes

Yes it worked 🙂
I loaded my entire clearml.conf in the “extra conf” part of the auto scaler, that worked

I have but i believe i found the issue

which part?

PricklyRaven28 at the beginning of the log, the clearml agent should print the configuration, do you have api.fileserver as the S3 bucket?

regarding what AgitatedDove14 suggested, i’ll try tomorrow and update

If possible, i would like all together prevent the fileserver and write everything to S3 (without needing every user to change their config)

There is no current way to "globally" change the default files server (I think this is part of the enterprise version, alongside vault etc.).
What you can do is use an OS environment to override the conf file:
CLEARML_FILES_HOST=" "PricklyRaven28 wdyt?

Yes... I think that this might be a bit much automagic even for clearml 😄

and the agent is outputting sdk.development.default_output_uri =
although it’s different in both the original config, and the agent extra config

that’s what i started with, doesn’t work in pipelines

CostlyOstrich36 This is for a step in the pipeline

tried your suggestion, still got to file server…

PricklyRaven28 did you set the iam role support in the conf?
https://github.com/allegroai/clearml/blob/0397f2b41e41325db2a191070e01b218251bc8b2/docs/clearml.conf#L86

but it makes sense, because the agent in that case is local

In the UI check under the execution tab in the experiment view then scroll to the bottom - You will have a field called "OUTPUT" what is in there? Select an experiment that is giving you trouble?

that does happen when you create a normal local task, that’s why i was confused

Is the entire pipeline running on the autoscaler?

Yes tnx for clarifying 😁

using api.files_server? not default_output ?

https://github.com/allegroai/clearml/blob/master/examples/services/aws-autoscaler/aws_autoscaler.py#L39

when i did this with a normal task it worked wonderfully, with pipeline it didn’t