implement-multi-tenancy

Multi-tenant isolation in CQRS is achieved by extracting the tenant at the API boundary, building a Tenant-scoped ExecutionContext, and applying row-level partitioning using tenant_id across event stores and domain models to prevent data leakage.

Tenant context propagation in reactive pipelines is handled via Reactor TenantContext, ensuring tenant boundaries are maintained asynchronously across end-to-end CQRS workflows and event-sourcing operations without losing the tenant scope.

Per-tenant branding loads specific branding data and configuration for each tenant dynamically, enabling white-label deployments by isolating visual and operational configurations alongside row-level tenant_id data partitioning.

Yes, tenant data isolation applies directly to services like loan processing by enforcing tenant_id partitioning in domain models, while simultaneously loading distinct per-tenant branding data and configuration for cross-tenant white-label scenarios.

Yes, row-level data partitioning requires a tenant_id column across event stores and domain models to enforce strict tenant boundaries and prevent misrouting of operations or data leakage across the platform.

Multi-tenant isolation fails without proper context propagation because operations bypass tenant boundaries, which is solved by enforcing TenantContext through Reactor pipelines and ExecutionContext to maintain the tenant scope end-to-end.