jscheffl commented on issue #49508:
URL: https://github.com/apache/airflow/issues/49508#issuecomment-2836466232

   We also had such issue (had a talk about this in 
https://airflowsummit.org/sessions/2024/how-we-tuned-our-airflow-to-make-1-2-million-dag-runs-per-day/)
 and I _think_ my colleguage @AutomationDev85 supplied a fix to Airflow 2.6 or 
2.7... we our problem in this area were gone.
   
   But one important remark: We ensured that the amount of parallel DAG runs is 
limited. We triggered new DAG runs in state "queued" and not "running", then 
the scheduler saves efforts in scheduling "not ready" runs. And was only adding 
"running" state at a point when sufficient DAGs have been worked-off. Can you 
try this?


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