Hi,
We run airflow as a set of k8s deployments inside of a GKE cluster, similar
to the way specified in Mumoshu's github repo: https://github.com/
mumoshu/kube-airflow.
We are currently investigating securing our clusters using istio [1].
Specifically we are interested in adding additional
An example of creating a deployment using the k8s model architecture can be
found here:
https://github.com/kubernetes-client/python/blob/master/examples/deployment_examples.py
def create_deployment_object():
# Configureate Pod template container
container = client.V1Container(
Hi all,
Enclosed is a proposal for a kubernetes deployment management operator. I
think this would be a good addition to current k8s offerings s.t. users can
actually launch persistent applications from airflow DAGs.
* What?*
Add an operator that monitors a k8s deployment, declaring the task
