oleksandr-yatsuk commented on issue #7935:
URL: https://github.com/apache/airflow/issues/7935#issuecomment-806541726


   We had the same issue with Airflow on Google Cloud until increased the 
setting **AIRFLOW__CORE__SQL_ALCHEMY_MAX_OVERFLOW**
   The default value was 5, with a change to 60 our Airflow server started to 
perform very well, including on complex DAGs with around 1000 tasks each.
   Any scale-up was resting on the database concurrent connections limit, so 
the scheduler was not able to perform fast.


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