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This repository was archived by the owner on Dec 29, 2022. It is now read-only.
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.
Airflow Operator is a custom Kubernetes operator that makes it easy to deploy and manage Apache Airflow 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