This guide will get you started with Airflow using the Stackable Operator. It will guide you through the installation of the Operator as well as an SQL database and Redis instance for trial usage, setting up your first Airflow cluster and connecting to it, and viewing and running one of the example workflows (called DAGs = Direct Acyclic Graphs).
You will need:
a Kubernetes cluster
Resource sizing depends on cluster type(s), usage and scope, but as a starting point we recommend a minimum of the following resources for this operator:
0.2 cores (e.g. i5 or similar)
The Guide is divided into two steps: