Cloud ArchitectureFeatured Case Study
Multi-Tenant Point of Sale (POS) Engine
Centralized Retail Engine with Strict PostgreSQL Schema Isolation
Up to 40%
Latency Reduction
100% Strict
Tenant Isolation
<15ms avg
Query Time
The Problem Statement
Shared multi-tenant databases suffered from noisy neighbor latency spikes, high risk of cross-tenant data leakage, and unmanageable database migration downtime.
Architected Solution
Designed strict schema-level tenant isolation in PostgreSQL with runtime tenant routing interceptors. Integrated Flyway for per-tenant schema migration automation and layered Redis caching.
Architectural Implementation Details
- ThreadLocal dynamic data source switching per HTTP request based on JWT tenant claims
- Flyway programmatic multi-schema database migration runners during deployment
- Distributed Redis cache invalidation on inventory and price mutations
- PCI DSS credential protection using GCP Secret Manager runtime injection
Technologies Deployed
Java 21Spring BootPostgreSQLFlywayRedisGCP Secret ManagerDocker