How to use the Kubernetes Executor in Airflow in production — Restack

How can you use the Kubernetes Executor to scale Airflow in production? Learn about the advantages and disadvantages of the Kubernetes executor and how to set it up locally as well in production. Apprehend why you should choose KubernetesExecutor for better resource usage and for long-running tasks by running each task on a separate pod. You will learn how to configure pods, set up executor environments, and how use them in the most efficient way.

Introduction to KubernetesExecutor and KubernetesPodOperator, by Rafay Aleem, Uncanny Recursions

stable/airflow] can't use kubernetes executor · Issue #21978 · helm/charts · GitHub

Scalable airflow with Kubernetes + Git Sync, by Rodrigo Lazarini Gil

Why we must choose Kubernetes executor for Airflow, by Felipe Calixto Filho

The Celery Kubernetes Executor for Airflow 2.0.

Apache Airflow, Which Executor to use in Production?

Apache Airflow Architecture on Openshift

The Celery Kubernetes Executor for Airflow 2.0.

The Celery Kubernetes Executor for Airflow 2.0.

Running Apache Airflow with the KubernetesExecutor on a multi-node Kubernetes cluster locally

Airflow kubernetes executor & persistent volume, by Ibnu Bayhaqi