Overview
Serving hundreds of enterprise tenants on a shared platform requires ironclad data partitioning, dynamic tenant routing, and resilient failover strategies.
Introduction
When designing high-concurrency B2B platforms, balancing cost efficiency with data security is the top priority. We break down our battle-tested multi-tenant cloud patterns.
Step 1: Schema vs Database Separation
Evaluate the tradeoffs between row-level security (RLS), schema-per-tenant, and database-per-tenant based on compliance needs.
Step 2: Rate Limiting & Noisy Neighbor Mitigation
Implement token bucket rate limiters in Redis to guarantee consistent latency across all active customer organizations.
- Apply per-tenant concurrency limits at the reverse proxy layer.
- Partition asynchronous message queues by tenant tier to prevent low-priority jobs from starving mission-critical webhooks.
- Enforce zero-trust network boundaries between microservice clusters.
