De-coupling monolithic mainframe logic into an event-driven AWS microservices mesh to eliminate scaling bottlenecks and accelerate product release cycles by 5x.
Trusted by Leading Fortune 500 Innovators
Global core banking system processing 10M+ daily transactions on high-cost legacy hardware.
Cloud Architect + Cloud-Native Engineers + DevSecOps Specialist embedded for the full BOT lifecycle.
Migrating mission-critical accounting and ledger logic to the cloud without impacting 24/7 availability.
AWS EKS, Kafka-based CDC (Change Data Capture), and Transactional Outbox patterns.
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 OpEx.
The risk was competitive: digital-only neobanks were out-innovating the client in weeks. The enterprise required a surgical extraction—moving logic to AWS microservices while keeping the mainframe operational as the 'temporary source of truth' during the transition.
Expensive, long-term hardware commitments with limited burst capacity.
Auto-scaling K8s pods that respond to real-time traffic spikes in milliseconds.
Manual, high-risk code freezes required for mainframe updates.
Automated pipelines allow for safe, independent microservice updates multiple times a day.
End-of-day reconciliation caused delays in real-time customer data updates.
Transactions trigger real-time event notifications across the entire banking ecosystem.
Ensured atomic updates between microservices and legacy databases to prevent data drift during the multi-year migration window.
Embedded automated IAM policies and encryption at rest/transit to meet Tier-1 banking security requirements on AWS.
Implemented automated node recycling and circuit breakers to ensure the new core never experienced a systemic failure.
Pre-built connectors for extracting COBOL-defined data structures into JSON event schemas.
Automated resource right-sizing to ensure the cloud core remains 60% cheaper than legacy MIPS.
Real-time visibility into the 'Strangler Fig' proxy performance to detect latency spikes before customers do.
Reusable validation logic to ensure zero-cent variance between legacy and cloud ledgers.
Moving from mainframe licensing to AWS consumption-based pricing yielded immediate OpEx savings.
Microservices allowed product teams to deploy new savings products without mainframe code freezes.
The 'Strangler Fig' pattern ensured that not a single customer session was lost during the extraction.
Client Testimonial
Coretus didn't 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 zero-downtime transition that our internal teams now fully own.
Chief Technology Officer