Case Study · Demonstration Architecture
Distributed Logistics & Inventory Orchestration
How an aging legacy monolith was transformed into containerized microservices handling automated inventory synchronization across 14 distribution centers.
1. Challenge
A mid-market logistics distributor operated on an on-premises relational database that regularly locked during warehouse peak hours. Order batches took over 45 minutes to process, leading to delivery delays and shipping stockouts.
2. Solution
Norvi Infotech India refactored the monolith using an event-driven architecture on AWS Kubernetes (EKS):
- Message Streaming: Deployed Apache Kafka to handle order placement events with zero message loss.
- Distributed Cache: Integrated Redis clusters for sub-millisecond stock availability checks.
- Automated Dead-Letter Handling: Failed carrier API calls automatically re-queued with exponential backoff.
3. Measurable Outcomes
4.2x
Throughput Scale
0 min
Migration Downtime
-78%
Order Processing Lag
Technical Specifications
Stack:
Go, Node.js, Python, Apache Kafka, AWS EKS, PostgreSQL, Docker
Pattern:
CQRS & Event Sourcing with Saga Distributed Transactions