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.