A cloud-native reference architecture for digital banking ledgers, event-driven payment pipelines, and real-time fraud scoring.
The Operational Problem
Traditional monolithic banking systems struggle with spike transaction volumes, multi-week release cycles, and batch-mode fraud detection that allows fraudulent transfers to clear before review.
Our Architectural Approach
We decomposed the core domains into isolated microservices (accounts, ledgers, fraud, notifications), introduced an event-driven Kafka streaming pipeline for sub-second fraud scoring, and engineered CI/CD canary deployments.
Measurable Results & Outcomes
- Sub-second: Ledger transaction latency
- Real-time: Event-driven Kafka streaming
- Automated: Canary release pipelines
- Zero-Downtime: High availability architecture
Technology Stack: React, Node.js, Kafka, PostgreSQL, AWS EKS, Redis