c-thiel commented on issue #13975:
URL: https://github.com/apache/airflow/issues/13975#issuecomment-873849837


   To motivate this a little bit further, the following use-case would also be 
solved with this PR:
   
   When we use the KubernetesPodOperator, we launch pods in Namespaces. These 
Namespaces have limits - however Airflow is currently unaware of those. Thus, 
if we hit the limits, Airflow will just continue to schedule tasks which will 
fail immediately. Thus we should put each tasks in two pools: One representing 
the memory limit and one representing the CPU limit. This really would be an 
essential feature for larger Kubernetes deployments.


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