What are the main differences between multi-tenant and single-tenant architectures?

Single-tenant architecture deploys independent software instances and databases for each customer, offering the highest isolation but at higher costs and with greater operational complexity. Multi-tenant architecture shares the same instance and infrastructure, achieving data security through logical isolation, with lower costs and better scalability, but requires more refined permission control and resource management.

How does multi-tenancy ensure data security?

Multi-tenancy ensures data security through multiple layers of security mechanisms: 1) Application layer: Enforces tenant ID filtering to ensure users can only access data belonging to their tenant; 2) Database layer: Implements row-level security (RLS) or independent schemas; 3) Transport layer: TLS encryption; 4) Storage layer: Encrypts sensitive fields. Additionally, regular penetration testing and audit logs are key measures.

What business scenarios are suitable for multi-tenant architecture?

Multi-tenancy is best suited for SaaS platforms, cloud services, enterprise applications (such as CRM, ERP), content management systems, e-commerce platforms, and other scenarios that need to serve a large number of small and medium-sized customers. For large enterprises or customers with strict compliance requirements for data isolation, hybrid solutions (such as dedicated tenant clusters) can be provided.

How scalable is multi-tenant architecture?

Multi-tenant architecture inherently supports horizontal scaling. It can handle tenant growth by adding application instances, separating database reads and writes, using caching layers (such as Redis), and message queues. Cloud-native technologies (such as Kubernetes) further simplify automatic scaling. However, attention must be paid to the "noisy neighbor" problem among tenants, which can be mitigated through resource quotas and rate-limiting mechanisms.