Is there a way to check what is the actual CPU and MEM provisioned and available to the docker container when the pipeline is running?
I tried "docker stats $(docker ps -lq"
Which gave me the following output:
This is not very useful.
We are running Pytest in a step, which was running slow when we had 2x size. We upgraded to 8x and saw a significant boost in speed. On the 20th of Sept, all branches and pipelines started running Pytest very slow again, without any changes to the code. I want to confirm the resources available to a step, not just what I specified they should be.
Hey @Boris Kravchenko ,
and welcome to the Community!
I see you have opened a support ticket with us and one of our support engineers is already working on investigating this issue with you.
To avoid any confusion of discussing the same issue in multiple places, I'd recommend focusing the investigation on the support ticket, and once that is resolved, feel free to share the outcome here in the Community.
Thank you, @Boris Kravchenko !
Patrik S
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