README
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Kubedoop Operator for Apache Airflow
This is a Kubernetes operator to manage Apache Airflow ensembles.
It's part of the Kubedoop Data Platform, a modular open source data platform built on Kubernetes that provides Kubernetes native deployment and management of popular open source data apps like Apache Kafka, Apache Doris, Trino or Apache Spark, all working together seamlessly. Based on Kubernetes, it runs everywhere – on prem or in the cloud.
Quick Start
Add helm repository
Please make sure helm version is v3.0.0+
helm repo add kubedoop https://zncdatadev.github.io/kubedoop-helm-charts/
Add required dependencies
helm install commons-operator kubedoop/commons-operator
helm install listener-operator kubedoop/listener-operator
helm install secret-operator kubedoop/secret-operator
Add airflow-operator
helm install airflow-operator kubedoop/airflow-operator
Deploy Airflow cluster
kubectl apply -f config/samples
Kubedoop Data Platform Operators
These are the operators that are currently part of the Kubedoop Data Platform:
- Kubedoop Operator for Apache Airflow
- Kubedoop Operator for Apache DolphinScheduler
- Kubedoop Operator for Apache Doris
- Kubedoop Operator for Apache Hadoop HDFS
- Kubedoop Operator for Apache HBase
- Kubedoop Operator for Apache Hive
- Kubedoop Operator for Apache Kafka
- Kubedoop Operator for Apache Kyuubi
- Kubedoop Operator for Apache Nifi
- Kubedoop Operator for Apache Spark
- Kubedoop Operator for Apache Superset
- Kubedoop Operator for Trino
- Kubedoop Operator for Apache Zookeeper
And our internal operators: :
Contributing
If you'd like to contribute to Kubedoop, please refer to our Contributing Guide for more information. We welcome contributions of all kinds, including but not limited to code, documentation, and use cases.
License
Kubedoop is under the Apache 2.0 license. See the LICENSE file for details.
Directories