Question on Running Airflow 1.10 in Kubernetes
We are trying to run airflow 1.10 in kubernetes.
1) We are running our scheduler, worker and webserver service in individual
2) We are using docker image which has airflow 1.10, python 3.x. We are
deploying our dags in docker image.
With above architecture of airflow setup in kubernetes, whenever we deploy
dags, we need to create new docker image, kill the current running workers
in airflow and restart them again with new docker image.
My question is: Is killing airflow worker (starting/stopping airflow worker
service )many times in a day is good and advisable ? What can be the risk
installed if worker doesn't gracefully shutdown(which i have seen quite
some time) ?
Let me know if this is not correct place to ask.