Multi Tenancy
Master multi-tenant SaaS design with three isolation models—shared database with shared schema, schema-per-tenant, or dedicated databases. This skill covers tenant context management, middleware routing, automatic query scoping, and per-tenant configuration in TypeScript and Python.
Multi Tenancy teaches you to build SaaS applications that securely serve multiple organizations with isolated data and per-tenant configuration.
AI-generated summary based on this skill's SKILL.md
Install
dadbodgeoff/drift/multi-tenancy · repository language: TypeScript
git clone https://github.com/dadbodgeoff/drift
cp -r drift ~/.claude/skills/multi-tenancygenerated, unverified - the skill's exact subdirectory could not be determined; check the repository on GitHub
npx skillfed install dadbodgeoff/drift/multi-tenancyFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How do I set up multitenancy for a SaaS application?
Multi Tenancy setup involves choosing an isolation model—shared database with shared schema, schema-per-tenant, or dedicated databases—then implementing tenant context management and middleware routing. You'll configure automatic query scoping to ensure each tenant accesses only their data, set up per-tenant configuration handling, and establish provisioning automation. TypeScript and Python examples show how to inject tenant context through request middleware and apply it consistently across your application layer.
What are the main tenant isolation strategies in multi-tenant systems?
Multi Tenancy isolation strategies include three core models: shared database with shared schema (lowest cost, highest complexity), schema-per-tenant (moderate isolation, easier debugging), and dedicated databases (strongest isolation, highest cost). Each strategy requires different tenant data separation approaches—shared schema uses row-level security and tenant ID columns, schema-per-tenant uses PostgreSQL schemas or similar constructs, and dedicated databases use separate connection strings. Middleware routing and automatic query scoping enforce isolation at the application level regardless of database model chosen.
How to implement multi tenant architecture with proper data separation?
Multi Tenancy architecture implementation starts with selecting your isolation model, then building tenant context management into your request pipeline. Use middleware to extract tenant identifiers from headers, subdomains, or JWT claims, then pass context through your application. Implement automatic query scoping by wrapping database queries with tenant ID filters. For schema-per-tenant, route connections to the appropriate schema; for shared schema, append WHERE tenant_id = ? to all queries. Configure per-tenant settings separately and automate tenant provisioning to create resources on demand.
What are multitenancy best practices for SaaS applications?
Multi Tenancy best practices include: enforce tenant isolation at multiple layers (middleware, ORM, database), use parameterized queries to prevent cross-tenant data leaks, implement comprehensive audit logging per tenant, automate tenant provisioning and resource allocation, monitor per-tenant resource usage, and design your schema to make tenant context explicit. Avoid implicit tenant assumptions; always require tenant context in queries. Test isolation thoroughly with multi-tenant test data. Use connection pooling efficiently across tenants and implement rate limiting per tenant to prevent resource exhaustion.
What is multi-tenant database design and how does it differ?
Multi Tenancy database design varies by isolation model: shared database with shared schema stores all tenants' data in one schema with a tenant_id column on every table; schema-per-tenant creates separate schemas per tenant within one database; dedicated databases provision entirely separate database instances per tenant. Shared schema is most cost-efficient but requires strict query discipline. Schema-per-tenant offers better isolation and easier per-tenant migrations. Dedicated databases provide maximum isolation and independent scaling but highest operational overhead. Choose based on tenant count, data sensitivity, and cost constraints.
How do you configure tenant provisioning and resource allocation?
Multi Tenancy provisioning automation creates new tenant resources on signup or request. For shared schema, insert tenant metadata and initialize default settings. For schema-per-tenant, create a new schema and run migrations. For dedicated databases, provision a new database instance and connection pool. Implement resource allocation policies—set storage quotas, API rate limits, and concurrent user limits per tenant. Use background jobs to handle provisioning asynchronously. Track resource usage per tenant and implement auto-scaling or quota enforcement. Store tenant configuration centrally and make it accessible to all application instances for consistent per-tenant behavior.