DataSurface Setup Walkthrough

To deploy DataSurface on Docker Desktop, execute a sequential setup covering pre-flight checks, PostgreSQL configuration, Kubernetes RBAC, Airflow deployment, and DAG generation. This structured walkthrough ensures correct environment variable validation and artifact creation.

Setting up DataSurface with Airflow and Kubernetes requires Docker Desktop with Kubernetes enabled, plus required credentials. The pre-flight validation phase checks these dependencies before proceeding with PostgreSQL setup and RBAC configuration.

You configure Kubernetes RBAC for local Airflow deployment by applying sequential model customization steps during the DataSurface setup. This process uses kubectl and Helm to ensure proper permissions before generating bootstrap artifacts.

DataSurface bootstrap generation fails if sequential execution is interrupted or environment variables lack validation. The setup enforces strict step ordering from PostgreSQL configuration through Airflow deployment to ensure artifacts generate correctly.

The best way to generate DAGs for a DataSurface Yellow environment is following the sequential deployment walkthrough. It guides you through PostgreSQL setup and Airflow deployment to produce correct DAG artifacts using Docker and Helm.

Yes, you can use Helm and kubectl to deploy DataSurface locally on Docker Desktop. The setup walkthrough leverages these tools alongside a bootstrap generator to configure the Yellow environment and deploy DAGs.