u/Fit_Border_3140

I’ve been looking into the new Databricks Apps compute model, and I have one concern.From what I understand, each Databricks App now runs with its own dedicated app compute, rather than simply relying on a shared SQL Warehouse as the main execution layer.

I’m wondering what this means at scale. If an organization has dozens or even hundreds of small internal apps, could this become significantly more expensive if each app requires its own compute instead of how it was before all of them sharing a single SQL serverless cluster that can scale to 0?

I’d be interested to hear how others are approaching this:
Are you consolidating multiple use cases into fewer apps, stopping unused apps, or using another pattern to control costs?