Scalable Core Banking System

Enterprise Backend • Microservices

Scalable Core Banking System

A mission-critical financial platform re-engineered with Java Spring Boot microservices and React, handling millions of daily transactions with zero downtime.

5M+
Transactions/Day
99.99%
System Uptime
<50ms
API Latency
20+
Microservices

The Challenge

A major regional bank was relying on a 15-year-old monolithic mainframe system. Scaling for new digital features was impossible, downtime was frequent during deployment, and maintenance costs were skyrocketing. They needed a modern architecture that could support real-time payments and open banking APIs without compromising security.

The Solution

We executed a phased "strangler pattern" migration, replacing the monolith with a suite of independent, containerized microservices built on Java Spring Boot. The frontend was modernized with React to provide a seamless customer experience.

  • Event-Driven Architecture

    Implemented Apache Kafka for asynchronous communication between services, ensuring high throughput and resilience even if one service experiences load spikes.

  • Bank-Grade Security

    Integrated OAuth2/OpenID Connect for secure authentication and mutual TLS (mTLS) for all service-to-service communication.

  • Observability & Monitoring

    Deployed a comprehensive ELK (Elasticsearch, Logstash, Kibana) stack and Prometheus/Grafana monitoring to gain real-time visibility into system health.

System Architecture

A distributed microservices architecture powered by event sourcing for uncompromising reliability and scalability.

1. API Gateway

Kong Gateway handles traffic routing, rate limiting, and authentication, acting as the single entry point for all client requests.

2. Core Services

Independent Spring Boot services manage Accounts, Transactions, and Customer profiles, each with its own dedicated database.

3. Event Bus

Apache Kafka ensures data consistency across services using an event-driven pattern, enabling real-time analytics and notifications.

Tech Stack

Backend Services
  • Java 17 (LTS)
  • Spring Boot 3.2
  • Apache Kafka
Frontend
  • React 18
  • TypeScript
  • Redux Toolkit
Database
  • PostgreSQL (Transactional)
  • MongoDB (Audit Logs)
Infrastructure & Ops
  • Kubernetes (EKS)
  • Istio Service Mesh
  • Jenkins CI/CD
Documentation & Quality
  • OpenAPI / Swagger
  • JUnit & Mockito
  • SonarQube (Code Quality)