[jimlo]

I’m working on a SaaS project that’s picking up users faster than I expected, and now I’m realizing the way I set up tenant data isn't going to scale. Right now everything’s sort of isolated but hardcoded — not flexible at all. I’ve been reading about shared vs isolated databases, but it’s still a bit fuzzy. What’s actually working for folks building real multi-tenant setups in production?

[katana]

Been there — started with isolated schemas per tenant, but that became a headache when updating models across the board. Eventually moved to a shared DB model with tenant IDs and stricter access layers, and it’s been much smoother since. Also, setting up automated tests for tenant separation early saved us from a ton of drama later. I found this breakdown super helpful: https://www.devheaven.io/positions/saas-developers . Gives a solid view of what’s expected for SaaS architecture.

[domen]

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[binik]

I’ve seen teams overcomplicate things early by trying to predict scale they never hit. Sometimes starting simple with a shared model and good logging ends up being enough, at least until things really grow. It’s the balance between flexibility and over-engineering that’s hard to get right, especially with small teams.