multi-tenancy-patterns

Multi-tenant data isolation in a shared database is implemented by applying a branch_id column to domain tables and enforcing tenant-scoped data access rules. This standardizes data scoping to prevent cross-tenant data leakage.

Tenant resolution identifies the active customer context from incoming requests, while context propagation passes this branch_id through middleware. This ensures downstream caching, queues, and file storage operations remain tenant-aware.

To apply branch_id isolation, integrate a HasBranch trait into your models and enforce a BranchScope for queries. This standardizes architecture migrations by automatically scoping all data access to the resolved tenant.

The best way to test tenant-aware caching and queues is to run isolation tests across tenant-specific scenarios. This verifies that branch_id scoping correctly prevents data leakage in middleware, storage, and asynchronous jobs.

Yes, explicit tenant resolution is required for multi-tenant file storage and queues. Applying branch_id scoping ensures that all cached data, queued jobs, and stored files are isolated to their respective tenants.

You should standardize multi-tenancy patterns during architecture migrations when shared databases risk cross-tenant data leakage. Codifying branch_id isolation and BranchScope rules early accelerates architecture reviews and ensures safe data access.