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apache / airflow / refs/tags/providers-databricks/2.4.0rc1 / . / chart
tree: 46cd29c19eba0a2052be5b727a738e45516a7aa1 [path history] [tgz]
  1. dockerfiles/
  2. files/
  3. templates/
  4. .gitignore
  5. .helmignore
  6. CHANGELOG.txt
  7. Chart.lock
  8. Chart.yaml
  9. INSTALL
  10. LICENSE
  11. NOTICE
  12. README.md
  13. UPDATING.rst
  14. values.schema.json
  15. values.yaml
  16. values_schema.schema.json
chart/README.md

Helm Chart for Apache Airflow

Artifact HUB

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 1.20+ cluster
  • 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
  • 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.

Documentation

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

Contributing

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