Deploying a single Airflow web server for all environments saved costs and reduced labor, allowing separation of deployment environments at the DAG definition level.
Initially, we used Git-sync as a deployment technique, keeping a dedicated repository for DAG definitions, which became inconvenient as the number of environments grew.
The integration of Apache Airflow with Kubernetes illustrated the challenges of scaling DevOps resources, prompting the decision to centralize the web server.
With our early DAG definitions needing separate files for each environment, we recognized that this method was no longer sustainable for efficient updates.
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