https://github.com/GoogleCloudPlatform/airflow-operator

Kubernetes custom controller and CRDs to managing Airflow
https://github.com/GoogleCloudPlatform/airflow-operator

airflow airflow-operator apache-airflow crd kubernetes kubernetes-controller kubernetes-operator workflow-engine

Last synced: about 1 month ago
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Kubernetes custom controller and CRDs to managing Airflow

• Host: GitHub
• URL: https://github.com/GoogleCloudPlatform/airflow-operator
• Owner: GoogleCloudPlatform
• License: apache-2.0
• Archived: true
• Created: 2018-07-20T18:35:37.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-06-25T07:59:10.000Z (about 4 years ago)
• Last Synced: 2024-02-11T09:40:00.236Z (5 months ago)
• Topics: airflow, airflow-operator, apache-airflow, crd, kubernetes, kubernetes-controller, kubernetes-operator, workflow-engine
• Language: Go
• Homepage:
• Size: 38.1 MB
• Stars: 298
• Watchers: 21
• Forks: 68
• Open Issues: 25
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-operators - GoogleCloudPlatform/airflow-operator
• awesome-apache-airflow - Kubernetes Custom Operator for Deploying Airflow - Kubernetes Custom controller (also called operator pattern) for deploying Airflow on Kubernetes. (Airflow deployment solutions)
• awesome-apache-airflow-br - Operador customizado do Kubernetes para fazer deploy do Airflow - Controlador customizado do Kubernetes(tambem chamado de padrão de operador) para fazer o deploy do Airflow no Kubernetes. (Soluções de deployment do Airflow)

README

        
[![Go Report Card](https://goreportcard.com/badge/github.com/GoogleCloudPlatform/airflow-operator)](https://goreportcard.com/report/github.com/GoogleCloudPlatform/airflow-operator)

**This is not an officially supported Google product.**

## Community

* Join our [Slack channel](https://kubernetes.slack.com/messages/CC1UAMYSV).

## Project Status

*Alpha*

The Airflow Operator is still under active development and has not been extensively tested in production environment. Backward compatibility of the APIs is not guaranteed for alpha releases.

## Prerequisites

* Version >= 1.9 of Kubernetes.

* Uses 1.9 of Airflow (1.10.1+ for k8s executor)

* Uses 4.0.x of Redis (for celery operator)

* Uses 5.7 of MySQL

## Get Started

[One Click Deployment](https://console.cloud.google.com/marketplace/details/google/airflow-operator) from Google Cloud Marketplace to your [GKE cluster](https://cloud.google.com/kubernetes-engine/)

Get started quickly with the Airflow Operator using the [Quick Start Guide](https://github.com/GoogleCloudPlatform/airflow-operator/blob/master/docs/quickstart.md)

For more information check the [Design](https://github.com/GoogleCloudPlatform/airflow-operator/blob/master/docs/design.md) and detailed [User Guide](https://github.com/GoogleCloudPlatform/airflow-operator/blob/master/docs/userguide.md)

## Airflow Operator Overview

Airflow Operator is a custom [Kubernetes operator](https://coreos.com/blog/introducing-operators.html) that makes it easy to deploy and manage [Apache Airflow](https://airflow.apache.org/) on Kubernetes. Apache Airflow is a platform to programmatically author, schedule and monitor workflows. Using the Airflow Operator, an Airflow cluster is split into 2 parts represented by the `AirflowBase` and `AirflowCluster` custom resources.

The Airflow Operator performs these jobs:

* Creates and manages the necessary Kubernetes resources for an Airflow deployment.

* Updates the corresponding Kubernetes resources when the `AirflowBase` or `AirflowCluster` specification changes.

* Restores managed Kubernetes resources that are deleted.

* Supports creation of Airflow schedulers with different Executors

* Supports sharing of the `AirflowBase` across mulitple `AirflowClusters`

Checkout out the [Design](https://github.com/GoogleCloudPlatform/airflow-operator/blob/master/docs/design.md)

![Airflow Cluster](docs/airflow-cluster.png)

## Development

Refer to the [Design](https://github.com/GoogleCloudPlatform/airflow-operator/blob/master/docs/design.md) and [Development Guide](https://github.com/GoogleCloudPlatform/airflow-operator/blob/master/docs/development.md).

## Managed Airflow solution

[Google Cloud Composer](https://cloud.google.com/composer/) is a fully managed workflow orchestration service targeting customers that need a workflow manager in the cloud.