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.

Kubernetes Executor — Airflow Documentation

Airflow on Kubernetes: Running on and using k8s

Elastic(autoscaling) Airflow Cluster on Kubernetes, by Sarwesh Suman

New KubernetesExecutor and Its Key Features

Kubernetes Executor : Airflow command to run Task instance in new Pod container takes 7-8 seconds of time delay to start executing airflow command. · apache airflow · Discussion #23354 · GitHub

Running Apache Airflow Workflows on a Kubernetes Cluster - ClearPeaks Blog

Running Apache Airflow Workflows on a Kubernetes Cluster - ClearPeaks Blog

Mistakes I Have Seen When Data Teams Deploy Airflow

Airflow kubernetes architecture understanding - Stack Overflow

The Celery Kubernetes Executor for Airflow 2.0.