Enterprise SaaS Operations & Analytics Engine

1. Business Context & Challenge

The client operated a fast-growing B2B operations service with hundreds of enterprise customers. Their initial MVP relied on disparate external spreadsheets, manual invoicing, and a single shared database that caused severe tenant query cross-talk during peak business hours.

Critical challenges included:

• Unacceptable query latency degradation (P95 times exceeding 3.4 seconds during morning hours)
• High risk of tenant data leakage due to manual WHERE clause query filtering
• Fragmented billing reconciliation with frequent invoice disputes and churn

2. Engineering Approach & Architecture

Norvi Infotech India redesigned the platform from the ground up using a modern, scalable cloud-native stack:

• Row-Level Security (RLS): Implemented PostgreSQL Row-Level Security ensuring strict database-enforced tenant isolation without relying on application-layer logic.
• Event-Driven Ingestion: Built asynchronous worker queues (Redis & BullMQ) to process analytics events off the main HTTP request cycle.
• Stripe Webhook Sync: Automated subscription lifecycle events (upgrades, downgrades, payment failures) with idempotent event receipt logging.

3. Measurable Technical Outcomes