Multi-Tenant Architecture: How We Scale
A practical look at tenant-boundary design, scaling assumptions, and the checks needed before high-volume rollout.
Building a SaaS platform that serves multiple businesses requires careful architectural decisions. At LuniOps, we chose a multi-tenant approach built on Firebase that is designed to enforce strong tenant isolation while keeping operational costs manageable.
Each tenant (company) gets a tenant-scoped data space within Firestore. Security rules and source contracts are written to restrict users to data belonging to their tenant, and those boundaries need emulator, code-review, and production-rule evidence before launch. The practical target is clear: a user from Company A should not be able to see or modify Company B data through supported app paths.
Our role-based access control system operates at both the tenant and module level. Each tenant can define custom roles with granular permissions — for example, a warehouse manager might have full access to inventory but read-only access to orders.
For scalability, Firebase provides managed infrastructure, but high-volume tenants still need index review, read-budget checks, load-aware workflows, and monitoring. A pilot should validate the expected order volume, export size, and role mix before any performance or capacity claim is used externally.
Tenant-scoped export, backup, and migration paths can reduce operational risk, but they do not by themselves prove regulatory readiness. Data residency, retention, restore drills, and customer-specific contract requirements still need provider configuration, legal review, and production evidence.