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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 (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-06-25T07:59:10.000Z (over 4 years ago)
- Last Synced: 2024-05-22T13:32:11.198Z (7 months ago)
- Topics: airflow, airflow-operator, apache-airflow, crd, kubernetes, kubernetes-controller, kubernetes-operator, workflow-engine
- Language: Go
- Homepage:
- Size: 38.1 MB
- Stars: 299
- Watchers: 21
- Forks: 68
- Open Issues: 25
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- 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)
- awesome-apache-airflow - Kubernetes Custom Operator for Deploying Airflow - Kubernetes Custom controller (also called operator pattern) for deploying Airflow on Kubernetes. (Airflow deployment solutions)
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.