Digital Transformation

Legacy System Modernization

Modernize your technology without disrupting your business. Migrate from monoliths to microservices, on-premise to cloud, and outdated stacks to modern frameworks — safely.

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Zero-Downtime Migrations
Enterprise Experience
Japan DX Expertise
Modernization Approaches

Choose Your Path Forward

Lift & Shift
Quick cloud migration with minimal code changes. Move your existing applications to cloud infrastructure to gain scalability, reliability, and cost benefits without rewriting your codebase.
Re-Platform
Move to modern infrastructure while optimizing along the way. Containerize applications, modernize databases, and adopt cloud-managed services to reduce operational overhead.
Re-Architect
Rebuild with microservices and cloud-native patterns. Decompose your monolith into independently deployable services with event-driven communication and modern tooling.
Gradual Strangler
Incrementally replace legacy components using the strangler fig pattern. New features go to modern services while legacy components are retired piece by piece — zero disruption.
What We Modernize

No System Too Old

COBOL / Mainframe Systems
Extract business rules and migrate to modern languages while preserving decades of logic.
On-Premise to Cloud
Migrate physical servers and data centers to AWS, GCP, or Azure with zero-downtime strategies.
Monolith to Microservices
Decompose tightly-coupled monoliths into scalable, independently deployable services.
Legacy Database Migration
Migrate from Oracle, SQL Server, or custom databases to modern solutions like PostgreSQL or cloud-native databases.
Outdated Frontend Frameworks
Replace jQuery, AngularJS, or custom UIs with React, Next.js, or Flutter for modern user experiences.
Manual Processes to Automation
Digitize paper-based workflows, automate manual data entry, and eliminate spreadsheet-driven operations.
Risk Mitigation

Safe Modernization, Guaranteed

Parallel Running
Old and new systems run side by side. Validate the new system with real data before switching over.
Automated Data Migration
Scripted, repeatable data migration with validation checks at every stage. No manual data handling.
Rollback Capabilities
Every migration step has a tested rollback plan. If something goes wrong, we revert safely in minutes.
Comprehensive Testing
Unit, integration, regression, and user acceptance testing before every phase goes live.
Phased Cutover Plans
Migrate in phases, not big bangs. Each phase is validated before proceeding to the next.
Business Continuity Planning
Detailed continuity plans ensure your business operations are never interrupted during modernization.
Process

Our Modernization Process

1
Legacy Assessment
Deep analysis of your current systems, dependencies, technical debt, and business-critical workflows.
2
Modernization Strategy
Choose the right approach for each component: lift-and-shift, re-platform, re-architect, or strangler pattern.
3
Phased Migration
Incremental migration with parallel running, automated testing, and validation at every checkpoint.
4
Validation & Cutover
Final data sync, performance validation, user acceptance testing, and coordinated cutover to the new system.
FAQ

Frequently Asked Questions

01.
How long does legacy modernization take?

Small migrations take 3-6 months, mid-size enterprise modernizations run 6-12 months, and large-scale mainframe transformations can take 12-24 months. We use phased approaches so you see value incrementally — first modernized component typically in production within 8-12 weeks.

02.
Can you modernize without downtime?

Yes. Zero-downtime migration is our standard approach. We use the strangler fig pattern, parallel running, feature flags, and phased cutover plans to ensure business continuity throughout the entire process.

03.
What if our legacy system uses COBOL?

We have experience modernizing COBOL and mainframe systems, especially relevant for the Japanese market. Our approach includes automated code analysis, business rule extraction, and incremental migration to modern languages while preserving business logic integrity.

04.
How do you handle data migration?

Data migration is treated with extreme care: data profiling and quality assessment, schema mapping, automated migration scripts with validation, parallel data sync during transition, rollback capabilities at every stage, and comprehensive integrity verification before cutover.

Get Started

Modernize Your Systems

Get a complimentary legacy assessment and discover the safest path to modern technology.

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