Services
Legacy Banking Application Modernization on AWS
Legacy financial systems cost millions annually in maintenance. We modernize banking platforms from mainframe/COBOL to cloud-native architecture, reducing operational costs and enabling innovation.
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Summary
Modernize legacy banking systems: mainframe migration, monolith-to-microservices, and COBOL→Java/Python refactoring on AWS.
Key Facts
- • Modernize legacy banking systems: mainframe migration, monolith-to-microservices, and COBOL→Java/Python refactoring on AWS
- • Migrating COBOL systems to AWS requires replatforming and extensive testing
- • Mainframe to AWS Replatforming: COBOL → Java or Python using automated translation tools, manual refactoring for business logic, and Oracle/DB2 → RDS/Aurora migration
- • How long does a mainframe migration to AWS take
- • Typical mainframe migrations take 12-24 months depending on system complexity and lines of code
Entity Definitions
- RDS
- RDS is an AWS service relevant to legacy banking application modernization on aws.
- Aurora
- Aurora is an AWS service relevant to legacy banking application modernization on aws.
- microservices
- microservices is a cloud computing concept relevant to legacy banking application modernization on aws.
- compliance
- compliance is a cloud computing concept relevant to legacy banking application modernization on aws.
Frequently Asked Questions
How long does a mainframe migration to AWS take?
Typical mainframe migrations take 12-24 months depending on system complexity and lines of code. Phase 1 (assessment): 1-2 months. Phase 2 (replatforming): 6-12 months. Phase 3 (migration): 3-6 months.
Can we keep the mainframe running while migrating to AWS?
Yes. Dual-run architecture runs legacy and new systems in parallel. You gradually route transactions to AWS while keeping the mainframe as fallback. Once AWS proves stable, you decommission the mainframe.
What tools help with COBOL modernization?
Tools like AWS Application Migration Service (MGN), COBOL-to-Java compilers (IBM Rational, Micro Focus), and manual refactoring for complex business logic. We combine tools with expert engineers for quality refactoring.
Related Content
- Legacy Banking Application Modernization on AWS — Parent service
Key Challenges We Solve
Banking mainframes handle millions of transactions daily with zero downtime tolerance. Migrating COBOL systems to AWS requires replatforming and extensive testing.
Mainframes guarantee ACID transactions. Distributed cloud systems require careful design to maintain consistency without sacrificing scalability.
Regulators require proof that new architecture meets the same compliance and audit standards as legacy mainframe systems.
Our Approach
Mainframe to AWS Replatforming
COBOL → Java or Python using automated translation tools, manual refactoring for business logic, and Oracle/DB2 → RDS/Aurora migration.
Distributed Transaction Architecture
Event sourcing, saga patterns, and eventual consistency models that scale beyond mainframe limitations while maintaining audit trails.
Zero-Downtime Migration
Dual-run architecture (legacy + new system in parallel), gradual traffic cutover, and automated reconciliation between old and new systems.
Frequently Asked Questions
How long does a mainframe migration to AWS take?
Can we keep the mainframe running while migrating to AWS?
What tools help with COBOL modernization?
Ready to Get Started?
Talk to our AWS experts about legacy banking application modernization on aws.
