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I have just got Airflow working on K8 through the help of this great project, thanks!
I had a question about the embedded DAG's approach. In the event of a deployment or a pod being rescheduled by K8, how would a running DAG survive the process?
Or is the answer quite simply it wouldn't and it would need to retry?
Any other wise words on having a reliable Airflow on K8 are welcome
The text was updated successfully, but these errors were encountered:
I have just got Airflow working on K8 through the help of this great project, thanks!
I had a question about the embedded DAG's approach. In the event of a deployment or a pod being rescheduled by K8, how would a running DAG survive the process?
Or is the answer quite simply it wouldn't and it would need to retry?
Any other wise words on having a reliable Airflow on K8 are welcome
The text was updated successfully, but these errors were encountered: