Running several Airflows on k8s


We have in our project one k8s cluster.
We are trying to set up several environments: DEV, TEST, PROD.
The idea was to install several instances of Airflow in different k8s namespaces.
I am doing the fresh installation of Airflow from official Helm chart.
Then I am observing very weird behavior of Airflow Scheduler and Worker pods. It seems like they are in conflict. Pods are crashing and then restarting very often.

If I am deleting one of the namespaces and leave only one Airflow in k8s, it works fine.

Has anyone faced the similar issue?

Thank you in advance for sharing any experience!