![]() For example, with the KubernetesExecutor or the KubernetesPodOperator, you can set a nodeSelector argument to run tasks on a particular node □ Each worker node has a label helping to run tasks on a specific node. It creates four nodes, one control plane, and three workers. This file describes your local Kubernetes Cluster. In a new directory, create a file kind-cluster.yaml kind: Cluster Once you’re done, you’re ready to go! Create a Kubernetes cluster with KinDīefore deploying Airflow on Kubernetes, the first step is to create and configure the local Kubernetes cluster with KinD. To run Airflow on Kubernetes, you need five tools: Docker, Docker Compose, KinD, Helm, and Kubectl. Without Kubectl, you won’t be able to get logs of your PODs, debug errors, or check nodes. As you know, Helm allows you to deploy applications on Kubernetes, whereas Kubectl will enable you to run commands against your Kubernetes Cluster. In addition to Docker and KinD, you must install Helm and Kubectl. If you know MiniKube, Kind is pretty similar now (It wasn’t the case a few years ago). It was primarily designed for testing Kubernetes, but it is perfect for a quick local development environment to experiment with applications that run on top of Kubernetes. It allows you to set up and run a Kubernetes cluster using Docker container “nodes”. Now, you may ask: “How can I create a Kubernetes cluster with Docker?” Well, say hello to KinD! You will have multiple Docker containers, and each container will represent a Kubernetes node. Why? Because the Kubernetes cluster will run in Docker. Therefore, there are some prerequisites.įirst, you need to install Docker and Docker Compose. In this hands-on tutorial, you will create a local multi-node Kubernetes cluster to deploy and run Airflow. Deploy your DAGs on Kubernetes with GitSync.Install dependencies for Airflow on Kubernetes.How to run Airflow commands in Kubernetes.If you want to create robust data pipelines with Airflow, go check out my courses here. And guess what? Apache Airflow has its own official Helm chart! In today’s tutorial, you will discover how to run Airflow on Kubernetes within 10 minutes, thanks to the official Helm chart. That, my friend, makes your deployments much more accessible than ever before. A Helm chart is a collection of multiple Kubernetes YAML manifests describing every component of your application. Helm allows you to deploy and configure Helm charts (applications) on Kubernetes at ease. Hopefully, for us, some super bright people have created Helm. There are so many things to deal with that it can be laborious to deploy an application. It is common to have Airflow running on Kubernetes in production to ensure reliability, scalability, and performance. How to run Airflow on Kubernetes? Kubernetes is a popular open-source container orchestration system widely used in the industry.
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