README.md

Helm Chart for Apache Airflow

Apache Airflow is a platform to programmatically author, schedule and monitor workflows.

Introduction

This chart will bootstrap an Airflow deployment on a Kubernetes cluster using the Helm package manager.

Requirements

• Kubernetes 1.14+ cluster
• Helm 2.11+ or Helm 3.0+
• PV provisioner support in the underlying infrastructure (optionally)

Features

• Supported executors: LocalExecutor, CeleryExecutor, CeleryKubernetesExecutor, KubernetesExecutor.
• Supported Airflow version: 1.10+, 2.0+
• Supported database backend: PostgresSQL, MySQL
• Autoscaling for CeleryExecutor provided by KEDA
• PostgresSQL and PgBouncer with a battle-tested configuration
• Monitoring:
  • StatsD/Prometheus metrics for Airflow
  • Prometheus metrics for PgBouncer
  • Flower
• Automatic database migration after a new deployment
• Administrator account creation during deployment
• Kerberos secure configuration
• One-command deployment for any type of executor. You don't need to provide other services e.g. Redis/Database to test the Airflow.

Documentation

Documentation for the released version can be found at https://airflow.apache.org/docs/helm-chart/.

The latest development version is published on: http://apache-airflow-docs.s3-website.eu-central-1.amazonaws.com/docs/helm-chart/latest/index.html

Contributing

Want to help build Apache Airflow? Check out our contributing documentation.