Apache Airflow is a platform to programmatically author, schedule and monitor workflows.
This chart will bootstrap an Airflow deployment on a Kubernetes cluster using the Helm package manager.
- Kubernetes 1.24+ cluster
- Helm 3.0+
- PV provisioner support in the underlying infrastructure (optionally)
- Supported executors:
LocalExecutor,CeleryExecutor,KubernetesExecutor,LocalKubernetesExecutor,CeleryKubernetesExecutor - Supported Airflow version:
1.10+,2.0+ - Supported database backend:
PostgresSQL,MySQL - Autoscaling for
CeleryExecutorprovided by KEDA - PostgreSQL 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.
Full documentation for Helm Chart (latest stable release) lives on the website.
Note: If you're looking for documentation for main branch (latest development branch): you can find it on s.apache.org/airflow-docs/. Source code for documentation is in ../docs/helm-chart
Want to help build Apache Airflow? Check out our contributing documentation.