Hi @<1635813046947418112:profile|FriendlyHedgehong10> , the pipeline basically creates tasks and pushes them into execution. You can click on each step and view the full details. In the info section you can see into which queue each step was pushed. I'm assuming there are no agents listening to the queue

Can you make sure you can check out this commit on a different machine?

Are you using pipelines from tasks?

Try installing virtualenv on the ubuntu machine running the agent

OK, then just try the docker image I suggested 🙂

Hi @<1717350332247314432:profile|WittySeal70> , can you attach the full log and your clearml.conf ?

Hi SoreHorse95 , about enforcing a setting globally I think this option only exists in the Scale/Enterprise versions.

Regarding the config snippet - do you manually change it to port 80? I'm not sure how to configure this, maybe SuccessfulKoala55 might have some more insight.

I'm not sure pipeline of pipelines would work out of the box without some hacks. What is your use case though, why do you need a pipeline of pipelines? In the end it would abstract into a single large pipeline anyways

Hi @<1705029138592567296:profile|DistressedFrog14> , correct. Advanced user managment, role based access controls and other features are available only in the Scale/Enterprise licenses

Can you provide a self contained contained snippet that reproduces this behavior?

The ec2 machines will be spun in your account. Any image accessible by those machines will be usable. You can add a bash script to run on the ec2 instances on startup and login. The agent on the ec2 instance will basically run a 'docker run' command.

No need, you can set multiple compute resources per single autoscaler instance

I mean that task.init will automatically detect the repo without specifying it

I think it was some minor misconfiguration on one of the servers running the applications, incorrect limit was set

Hi @<1523701842515595264:profile|PleasantOwl46> , what version of ClearML are you running? Also, when you navigate to the webUI, do you see any console errors in developer tools (F12)? Are the API requests returning empty?

Hi @<1535793988726951936:profile|YummyElephant76> , did you use Task.add_requirements ?
None

Can you please add a larger chunk of the autoscaler log?

Multiple instances of the autoscaler maybe?

Looks like a network issue.

As a side note, I would suggest removing & revoking all credentials you've pasted here 🙂

The ValueError is happening because there is no queue called services it appears

Hi JumpyPig73 ,

It appears that only the AWS autoscalar is in the open version and other autoscalars are only in advanced tiers (Pro and onwards):
https://clear.ml/pricing/

Hi @<1576381444509405184:profile|ManiacalLizard2> , it looks like the default setting is still false

About 2. I'm not familiar in depth with it. What does it come out as? Text?

How is the model saved in the code?

Hi @<1649221394904387584:profile|RattySparrow90> , events and console logs are logged to elastic so they can be fetched. Debug samples are also events so they are saved to elastic (A link to the debug is saved in the event itself).

It is suggested to keep a dedicated elastic to ClearML

Hi @<1578555761724755968:profile|GrievingKoala83> , what happens if you rerun this via the webUI ?

Oh, I would suggest asking on the main support channel for ClearML 🙂

Did the second run, run remotely or locally?

Can you add the log printout of the controller?

Hi @<1523702932069945344:profile|CheerfulGorilla72> , making sure I understand - You basically want to select an input model via the UI?