DrYampy commented on issue #36963:
URL: https://github.com/apache/airflow/issues/36963#issuecomment-2587797398

   @alexnbferreira so one of the walls I ran into while scaling this was 
there's a GCP logging api quota you will run afoul of.  
   
   So what happened was I had more than 200 cloud run tasks executing in 
parallel, and after completion, it would hammer the logging API.
   
   You can of course get the quota raised through google, but because the 
process is non deterministic I don't recommend going this way.
   
   In our case, we're trying to use cloud run as a stopgap to launching k8s and 
my job becoming a full time k8s babysitter, so we're gonna scotch tape a 
different solution that mounts an external table on top of the archived GCP 
logs so that we can have logging.


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