Hi Airflow devs, I am to new airflow and trying to figure out some details which will help me choose the right deployment for my company. I want to create a distributed airflow deployment either using Kube or Celery executor, and had a few questions.
1. I see that airflow on kube is a recent feature. How stable is this feature for production deployments in the most recent oss version? Are there any important known problems with airflow on kube? 2. I notice that some jiras are still pending in the umbrella jira( https://issues.apache.org/jira/browse/AIRFLOW-1314). Is it better to wait for these tickets to be closed? 3. How does kube deployment compare to Celery in terms of stability, performance, feature set, ease of deployment, maintenance? Thanks, Ash
