Case Study: Atmosphere.tv saves $10,000 a year and cuts runtime to minutes on Astro
Key results
The challenge
Atmosphere.tv is a digital out-of-home media company delivering content to TV screens in public venues. It relied on Domo for orchestration, which created bottlenecks with slow processing (24-hour timeouts) and lacked staging environments and version control, hindering developer collaboration.
The solution
Atmosphere.tv migrated to Astronomer's managed Airflow platform combined with Cosmos for dbt transformations, enabling parallel processing and selective model refreshes.
“We saved about $10,000 a year by switching to Cosmos, and it fit right in without even needing us to change our dbt code significantly.”
CBChris BrundageData Engineer, Atmosphere TV
The results, in context
After switching to Cosmos on Astro, Atmosphere.tv reported about $10,000 in annual savings and cut post-deployment runtime from hours to as little as 5 minutes. The team now runs 34 DAGs efficiently.