Multi-Tenant Content SaaS
Designed to isolate customer data while sharing AI and infrastructure layers.
Primary Constraint
Ensuring strict tenant isolation while sharing data models, infrastructure, and AI resources.
Problem Context
Single-tenant systems scale by duplication. SaaS systems cannot.
As the platform expanded to support multiple customers, each tenant needed the illusion of isolation while operating on a shared codebase and database. Data leakage, feature crossover, and uneven resource usage are existential risks in this model.
The system had to support growth without fragmenting infrastructure or duplicating logic.
System Design Focus
The primary focus was tenant boundaries across the entire system.
This centered on:
- Explicit tenant context propagation across APIs and services
- Data access rules that default to isolation, not inclusion
- Feature gating tied to subscription and tenant configuration
- Shared AI capabilities with scoped access and usage limits
Isolation was treated as a first-class design concern, not a database filter added later.
What this Demonstrates
Demonstrates the ability to design SaaS systems that scale horizontally without sacrificing safety or maintainability.
Shows an understanding of multi-tenant risk surfaces, disciplined access control, and how to balance shared infrastructure with customer-level guarantees.
Key Technologies
selected, non-exhaustive