FinTech // Client Project

Core Banking:
A Safer Move Away from Mainframes.

We built a practical FinTech solution combining live cdc bridge, strangler fig extraction, and automatic ledger consistency. The project delivered 60% Operating costs Reduction and Zero Service Downtime.

Key Results RESULTS
60%
Operating costs Reduction
Mainframe Costs
Zero
Service Downtime
STRANGLER FIG
5x
Release Speed
ROI: 14 Months

Trusted by teams building ambitious products

What We Set Out to Improve.

Industry
FinTech

Global core banking system processing 10M+ daily transactions on high-cost older hardware.

How We Worked
Project-Based Delivery

Cloud Architect + Cloud-Native Engineers + DevSecOps Specialist assigned for the complete modernization project lifecycle.

Goal
Older Technical Debt Extraction

Migrating essential accounting and ledger logic to the cloud without impacting 24/7 availability.

What We Built
Automatic Platform

A practical solution designed around the client’s existing tools, teams, and day-to-day workflow.

What Was Getting in the Way.

The client’s core banking logic was trapped within a 20-year-old mainframe. New feature deployment cycles took 6+ months due to the high risk of ripple-effect failures in the brittle COBOL codebase. Scaling for peak holiday traffic required preemptive hardware over-provisioning, costing millions in idle Operating costs.

The biggest issues were big bang failure, mainframe lock-in, and talent scarcity. The team needed a faster, clearer way to manage the work while keeping the right checks in place.

Big Bang Failure
A total switch-over was deemed too high-risk by the Board. any downtime would result in severe regulatory fines.
Mainframe Lock-in
MIPS-based pricing from older vendors was cannibalizing the technology budget for future AI initiatives.
Talent Scarcity
The aging COBOL workforce was retiring, leaving a widening gap in the ability to maintain the core system.
The Solution

What We Built.

01
Live CDC Bridge
Added Change Data Capture (CDC) to stream mainframe database updates into a Live data service, creating a live data shadow in AWS.
Key details
Mechanism CDC Stream
Consistency Sub Second
Tech Stack Live Data Connection
02
Strangler Fig Extraction
Surrounded the older core with a Proxy Layer that routed specific functions (e.g., balance inquiries) to new AWS smaller independent services while older calls remained on the mainframe.
Key details
Pattern Strangler Fig
Compute AWS EKS
Automation Istio Connected services
03
Automatic Ledger Consistency
Used Transactional Outbox patterns to ensure that the new AWS ledger and the older mainframe remained in 100% consistency during the phased rollout.
Key details
Audit Traceable Data
Pattern Outbox Pattern
Reliability ZERO DOWNTIME
Before and After

How the Workflow Improved.

Area
Before
After
Scale Model

Vertical / Static

Expensive, long-term hardware commitments with limited burst capacity.

Horizontal / Flexible

Auto-scaling Isolated cloud services that respond to live traffic spikes in moments.

Deployment

Quarterly Releases

Manual, high-risk code freezes required for mainframe updates.

Daily CI/CD

Automated workflows allow for safe, independent microservice updates multiple times a day.

Data Flow

Batch Processing

End-of-day reconciliation caused delays in live use use use use use use customer data updates.

Event Streams

Transactions trigger live event notifications across the entire banking ecosystem.

Key Features

What Made the Solution Useful.

Live Updates

Transactional Outbox Pattern

Ensured atomic updates between smaller independent services and older databases to prevent Inconsistent Data during the multi-year migration window.

Business impact
100% Data Consistency
Secure by Design

Cloud-Native Controls

Embedded automated IAM policies and encryption at rest/transit to meet Established banking security requirements on AWS.

Business impact
Zero Audit Findings
Ready to Grow

Self-Healing Clusters

Added automated node recycling and circuit breakers to ensure the new core never experienced a systemic failure.

Business impact
99.999% Uptime
Faster Delivery

How We Reduced Build Time.

Tested foundations helped the team spend less time on setup and more time on the parts that made this product useful.

What accelerated the work

4 reusable building blocks
01

Mainframe Bridge Module

A tested starting point for mainframe bridge module reduced repeated setup work.

02

FinOps Safety controls Module

Reusable work for finops safety controls module let the team focus more time on the client’s specific needs.

03

SRE Monitoring Platform

This made it easier to add sre monitoring platform without rebuilding common foundations.

04

Ledger Consistency Module

A tested starting point for ledger consistency module reduced repeated setup work.

Results

The Business Difference.

A straightforward before-and-after view of what changed for the team and their customers.

RESULT: COST01

System Spend

Moving from mainframe licensing to AWS consumption-based pricing yielded immediate Operating costs savings.

Older MIPS$$$$$
AWS Core60% Lower
Outcome60% Operating costs Reduction
RESULT: SPEED02

Launch time

Smaller independent services allowed product teams to deploy new savings products without mainframe code freezes.

Older6 Months
Cloud4 Weeks
Outcome5x Faster Releases
RESULT: RELIABILITY03

Migration Downtime

The Strangler Fig pattern ensured that not a single customer session was lost during the extraction.

Target< 0.1%
ActualZero
Outcome100% Reliable
Results60% Operating costs Reduction • 5x Faster Releases
Trust and Control

How We Kept It Safe and Reliable.

01
Data Privacy
Multi-region AWS residency ensures all banking data remains within regulatory boundaries.
COMPLIANCE READY
02
Encryption Standards
Hardware-security-module (HSM) based key management for all personal information and transaction records.
Business SECURE
03
Reliability Controls
Automated failover and self-healing clusters maintain 99.999% availability benchmarks.
Ready to Grow
04
Full Knowledge Transfer
Our Project-Based model includes documentation, training, and knowledge handover so the client's team owns the AWS core upon completion.
100% OWNED
Client Testimonial

In their own words.

Coretus didnt just move us to the cloud, they surgically extracted our core logic while the heart was still beating. We avoided the Big Bang' failure everyone feared and achieved a reliable transition that our internal teams now fully own.

Kill Technical Debt with Accuracy.

Have a similar challenge? We can help you plan and build a practical FinTech solution around your goals, budget, and existing systems.

Reliable Strangler Pattern

FinOps Cost Optimization

Complete Project IP Handover