Custom Software Solutions/Legacy System Modernization

Legacy System Modernization

Transform outdated monolithic applications into modern, cloud-native microservices. Reduce technical debt, improve performance, and enable innovation.

Modernization Strategies

Choose the right approach based on your goals, timeline, and risk tolerance.

Replatforming

Lift and shift to modern infrastructure with minimal code changes.

Best for: Quick wins, cloud migration, reducing hosting costs

Refactoring

Restructure existing code to improve maintainability and performance.

Best for: Improving code quality, reducing technical debt

Rearchitecting

Redesign application architecture (e.g., monolith to microservices).

Best for: Scalability, flexibility, modern architecture patterns

Rebuilding

Rewrite from scratch using modern frameworks and best practices.

Best for: Outdated tech stack, major feature additions

Replacing

Replace legacy system with commercial off-the-shelf (COTS) or SaaS.

Best for: Commodity functions, faster time to value

Strangler Fig Pattern

Gradually replace legacy system piece by piece with zero downtime.

Best for: Risk mitigation, continuous delivery

Why Modernize?

The business case for legacy system modernization.

Reduced Costs

Lower maintenance and hosting expenses

Improved Performance

Faster response times and better UX

Enhanced Security

Modern security practices and compliance

Cloud Scalability

Auto-scaling and high availability

Better Data Access

APIs and integrations with modern tools

Easier Maintenance

Clean code and modern frameworks

Our Modernization Process

A phased, risk-managed approach to legacy transformation.

1

Assessment & Planning

Analyze current system, identify pain points, define modernization roadmap, and estimate ROI.

2-4 weeks
2

Proof of Concept

Build POC for highest-risk components to validate approach and technology choices.

4-6 weeks
3

Incremental Migration

Migrate in phases with parallel run, automated testing, and rollback plans.

6-18 months
4

Optimization & Decommission

Optimize performance, train teams, and safely decommission legacy systems.

1-3 months

Success Story

Insurance Company

Mainframe Modernization with Zero Downtime

Challenge

Modernize 20-year-old mainframe-based policy management system serving 500K customers with zero downtime.

Solution

Implemented strangler fig pattern: built microservices API layer, migrated data to cloud PostgreSQL, and gradually replaced UI modules.

0 hours
Downtime
10x faster
Performance Improvement
-40%
Cost Reduction
18 months
Migration Timeline

Common Modernization Scenarios

Mainframe to Cloud

Migrate COBOL/mainframe applications to modern cloud infrastructure

Monolith to Microservices

Break down monolithic apps into independently deployable services

Client-Server to Web/Mobile

Replace desktop apps with modern web and mobile interfaces

On-Prem to SaaS

Transition from self-hosted to cloud-based SaaS model

Database Modernization

Migrate from legacy databases to modern SQL/NoSQL solutions

API-First Architecture

Add API layer to legacy systems for modern integrations

How We Mitigate Risk

Proven strategies to ensure successful modernization.

Parallel Run

Run old and new systems side-by-side

Automated Testing

Comprehensive test suites for regression

Rollback Plans

Quick revert if issues arise

Data Migration

Validated data migration with checksums

Phased Rollout

Gradual user migration

Training & Documentation

Prepare teams for new system

Performance Monitoring

Real-time metrics and alerts

Stakeholder Communication

Regular updates and demos

Investment Range

Pricing varies widely based on system complexity and modernization approach.

Replatforming

$50K - $150K

Lift and shift to cloud with minimal changes

Refactoring

$150K - $500K

Code restructuring and architecture improvements

Rearchitecting

$500K+

Full microservices transformation

Ready to Modernize Your Legacy Systems?

Let's assess your current systems and create a modernization roadmap.

Request Free Assessment