bharatk-meesho commented on issue #27589:
URL: https://github.com/apache/airflow/issues/27589#issuecomment-1311749973

   Thanks @Taragolis I will take a look at these links.
   However I did tried one thing, I cleared the logs in /opt/airflow/scheduler 
and that didn't decreased the memory consumption. Also I checked the parameter 
in grafana dashboard which denotes memory utilized and the parameter is 
"container_memory_working_set_bytes".
   
   Below is graph of scheduler pod level memory increasing from grafana 
although all dags are paused. And there has been no changes in the system 
whatsoever.
   
   <img width="1352" alt="Screenshot 2022-11-11 at 7 28 09 PM" 
src="https://user-images.githubusercontent.com/95409716/201355221-a2183d7a-966e-4dca-a16b-690f75b6379c.png";>
   
   
   One another weird thing I noticed is that the memory utilization from top 
combined of all process doesn't match what I get from running "kubectl 
command". Attaching both screen-shots below.
   
   HPA command output shows about 55% memory utilization and eventually it 
keeps on increasing so far i have obsreved.
   <img width="860" alt="Screenshot 2022-11-11 at 7 40 27 PM" 
src="https://user-images.githubusercontent.com/95409716/201357385-6cc4421e-ef85-4d5c-9df2-8886de8cd815.png";>
   
   
   While via top it doesn't seem to be more than 2%
   <img width="674" alt="Screenshot 2022-11-11 at 7 43 51 PM" 
src="https://user-images.githubusercontent.com/95409716/201358161-0377ca23-e35d-4049-949a-88b0ad006920.png";>
   


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