The Challenge
Representative scenario: a B2B startup is preparing a SaaS platform that needs strict data isolation between tenants. Its prototype relies on application-level filtering, creating avoidable security and scaling risk before larger customers are onboarded.
The Approach
We would begin with a technical audit and threat model, then validate tenancy boundaries and redesign the data layer where needed. Caching would be added only after measuring query and workload patterns.
The Solution
Proposed solution: use a multi-tenant PostgreSQL design with Row-Level Security (RLS), backed by explicit authorization tests and observability. This adds a database-level safeguard while keeping the application architecture understandable.
Architecture & Technology
Next.jsPostgreSQLRow Level SecurityRedisASP.NET Core
Lessons & Takeaways
- Database-level isolation is superior to application-level filtering for enterprise SaaS.
- Caching strategies must be designed alongside the data model, not added later.
- Clear architecture boundaries allow for easier feature iteration.
Next Blueprint
Data Aggregation & Automation Pipeline
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