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.

Mistakes I Have Seen When Data Teams Deploy Airflow

Running Airflow Using Kubernetes Executor and Kubernetes Pod Operator with Istio, by Joshua Yeung

How to Run Apache Airflow on Kubernetes at Scale

Running Apache Airflow locally on Kubernetes (minikube), by Ignacio Peluffo

Kubernetes Executor — Airflow Documentation

Airflow with Kubernetes Executors, Run on multi-node k8s cluster

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

Apache Airflow in Production with LocalExecutor

OpenSource : Airflow Executors(Local/Sequential/Celery), by YujinLee

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

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

Airflow vs. Dagster - Comparison article by a Senior Engineer — Restack

The Kubernetes Executor in Apache Airflow, by Vsevolod Bazhan