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Replacing Legacy Mainframe Fraud Systems in 90 Days

Modernizing mainframe systems for a large bank to enable real-time fraud detection using microservices architecture, reducing processing time from days to milliseconds.

Case Studies
Project Overview

Replacing Legacy Mainframe Fraud Systems in 90 Days

Modernizing mainframe systems for a large bank to enable real-time fraud detection using microservices architecture, reducing processing time from days to milliseconds.

65%
Time Saved
8Mo
ROI Period
5K+
Transactions/Sec
Replacing Legacy Mainframe Fraud Systems in 90 Days
Challenge

Transforming Data Accessibility

The project had a predetermined timeline of three months, with the aim of developing a Proof Of Concept (POC) to replace the bank's mainframe with a modern microservices architecture. Several delays occurred due to access restrictions and strict security policies. The mainframe apps had been developed over several years, with limited documentation, making analysis difficult.

Decoding Legacy Systems Under Tight Deadlines

The mainframe applications were complex and heavily customized. Understanding the system, analyzing transaction flows, and designing a microservices replacement under tight timelines required a strategic approach and careful planning.

Data SilosManual ProcessLimited AccessTight Deadlines
Impact
10K+
Users Empowered
Approach

Approach to Modernization

Edstem studied legacy mainframe apps and designed a scalable microservices architecture. Two architectural patterns were explored: Choreography and Orchestration. The final system adopted an orchestrator to manage synchronous workflows, connecting multiple services via REST APIs.

Technology Stack

Java
Spring Boot
PostgreSQL
AWS
Kafka
Docker
Kubernetes
Falcon
THE SOLUTION

Microservices-Based Architecture

To modernize the bank's mainframe systems, Edstem proposed a scalable, cloud-ready microservices design. Services were built with Java Spring Boot and communicated via message queues. The POC demonstrated a single transaction type from end to end with Falcon scoring server integration.

Self-Service Analytics

Empower every team member to access, analyze, and visualize data without technical expertise

100ms latency

Real-Time Updates

Transactions are processed in real time using Falcon scoring, with throughput throttling and retry handling to ensure reliability.

Enterprise Security

Bank-grade security with role-based access control and comprehensive audit trails

Event-Driven Processing

Reliable ingestion and processing using message queues

Real-Time Scoring

Falcon fraud detection engine integration for instant transaction decisions

Secure Communication

REST API microservices with enterprise-grade security

Orchestrator Pattern

Centralized workflow management enabling synchronous transaction processing

Final Outcome

Results That Matter

Despite multiple challenges, Edstem delivered the solution architecture and a working POC with all features on time. Modernizing legacy systems with microservices improved efficiency, scalability, and customer experience.

95%
Faster Processing
vs Mainframe
10K+
TPS Capacity
Transactions /Sec
3 Mo
Delivery Time
POC Delivered
$2M+
Annual Savings
Infrastructure Cost

Before

  • Legacy COBOL mainframe applications
  • 3-5 days for system changes
  • Limited scalability and high costs
  • Difficult to maintain and update

After

  • Modern microservices architecture
  • Hours for deployment with CI/CD
  • Horizontal scalability with Kubernetes
  • Easy maintenance with Spring Boot

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