Migration & Risk

Deconstructing Legacy Core Accounting Mainframe to Microservices

Migrating legacy high-throughput core transaction ledger databases to a cloud-native distributed microservice platform using the Strangler Fig pattern.

The Challenge

The client relied on a legacy mainframe system for core accounting processing, incurring massive licensing fees, developer talent shortages, and high transaction constraints. The system handled millions of updates daily. Due to operational risks, a big-bang cut-over was ruled out. We needed to strangulate and migrate core domains to cloud services incrementally without introducing consistency defects.

Architecture and Operational Alignment

Deconstructed Domain Architecture

Core Ledger Accounting Core Customer Domain Settlements General Ledger Tax Reporting CRM Sync Auth Gateway Clearing Engine SWIFT Interface

The Solution

We established a Strangler Fig migration strategy. We deployed API proxy layers to route live traffic between the legacy mainframe and modern microservices. Dynamic Change Data Capture (CDC) pipelines synchronized write actions bidirectionally. By isolating domains (Customers, Policies, Claims) one-by-one, we completely decommissioned mainframe modules, reducing reliance on obsolete infrastructure.

Data Footprint Decommissioning Progress

Decommissioned Mainframe DBs
58% (58% Data Migrated)
Active CDC Schemas
24% (24% Data Migrated)
New Cloud Ledger tables
10% (10% Data Migrated)
Staged Legacy Archives
6% (6% Data Migrated)
Temporary Buffer Tables
2% (2% Data Migrated)

Performance Metrics (KPIs)

Key Performance Indicator (KPI) Target Actual Result Status
Accounting System Throughput > 5x higher 6.2x higher Target Exceeded
Mainframe MIPS Usage > 80% reduction -90% MIPS Target Exceeded
Database Sync Latency < 200 ms 84 ms Highly Responsive
Ledger Reconciliation Defects 0 errors 0 errors Perfect Consistency

Transaction Volume Shift by wave

Migrated Microservices CDC Dual-Run Sync Legacy Mainframe Core Wave 1 (QA)15%30%55%Wave 2 (Canary)45%20%35%Wave 3 (Go-Live)90%8%
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