Legacy System Modernization.
Migrate mainframe and monolithic applications to cloud-native microservices. Preserve business logic while reducing costs, improving scalability, and enabling continuous deployment.
75+
Legacy Migrations
75%
Cost Reduction
0
Downtime Events
99%
Logic Preserved
Legacy System Challenges.
Mainframe systems too expensive to maintain
Cloud-native architecture with modern technology
We migrate mainframe applications (COBOL, AS/400) to modern cloud platforms (AWS, Azure, Google Cloud). Convert business logic to modern languages (Java, .NET, Node.js), redesign data models for relational or NoSQL databases, implement RESTful APIs, and deploy on containerized infrastructure. Reduce operating costs by 60-80% while improving performance and enabling continuous deployment.
Legacy applications cannot integrate with modern systems
API-first architecture enables seamless integration
We wrap legacy systems with modern API layers or fully replatform to API-first architectures. Expose business logic through REST or GraphQL APIs, implement authentication and rate limiting, document endpoints with OpenAPI, and enable integration with CRM, mobile apps, analytics platforms. Legacy business logic preserved while gaining integration capabilities. Modern systems consume APIs without knowing legacy backend.
Unable to scale to meet growing business demands
Microservices architecture with elastic scaling
We decompose monolithic applications into microservices deployed on Kubernetes or serverless platforms. Each service scales independently based on load, enabling handling 10-100x traffic with horizontal scaling. Implement API gateways, service mesh, observability, and DevOps pipelines for continuous deployment. Move from fixed capacity to elastic infrastructure that scales with business.
Comprehensive Services.
End-to-end legacy system modernization capabilities designed to drive measurable results.
Mainframe Migration
Migrate COBOL, AS/400, and mainframe applications to cloud-native platforms. Preserve business logic while modernizing technology stack and reducing operating costs by 60-80% through our cloud development services.
Cloud Migration & Replatforming
Migrate on-premise applications to AWS, Azure, or Google Cloud. Lift-and-shift, replatform, or refactor based on ROI. Implement CI/CD, auto-scaling, and cloud-native services.
Monolith to Microservices
Decompose monolithic applications into microservices using domain-driven design. Deploy on Kubernetes with service mesh, API gateway, and observability. Enable independent scaling and deployment.
Legacy API Wrapping
Wrap legacy systems with modern REST or GraphQL APIs without rewriting core logic. Implement authentication, validation, rate limiting, and documentation. Enable integration while preserving investment.
Database Modernization
Migrate from legacy databases (Oracle, DB2, Sybase) to modern relational (PostgreSQL, MySQL) or NoSQL (MongoDB, DynamoDB) databases. Schema redesign, data migration, performance optimization.
Technology Stack Upgrade
Upgrade outdated technology stacks: languages (Java 8 to 21, .NET Framework to .NET 8), frameworks (AngularJS to React), libraries, and dependencies. Eliminate security vulnerabilities and enable modern features.
User Interface Modernization
Rebuild outdated UIs with modern frameworks (React, Vue, Angular) for responsive design, improved UX, accessibility compliance, and mobile support while maintaining backend systems, delivered by our web development team.
DevOps & CI/CD Implementation
Establish modern DevOps practices for legacy applications: containerization, automated testing, CI/CD pipelines, infrastructure as code, and monitoring. Accelerate deployment velocity by 10x.
Security & Compliance Modernization
Update security controls for legacy systems: modern authentication (OAuth, SAML), encryption, vulnerability patching, compliance frameworks (SOC 2, HIPAA), and security monitoring.
Modernization Stack.
AWS
EC2, Lambda, ECS
Azure
App Service, Functions
Google Cloud
Compute Engine, GKE
Kubernetes
Container orchestration
Docker
Containerization
Terraform
Infrastructure as code
From Audit to Optimization.
Operating Costs
Before
$180K/yr
After
$45K/yr
Deployment Time
Before
6 weeks
After
2 hours
System Downtime
Before
12 hrs/mo
After
20 min/mo
Feature Velocity
Before
4/quarter
After
30/quarter
Our 4-Step Process
Assessment & Planning
Audit legacy systems, document business logic, analyze dependencies, evaluate migration strategies (rehost, replatform, refactor), estimate effort and costs, create phased roadmap.
Architecture Design
Design target architecture, select technologies, plan data migration strategy, document API contracts, establish security requirements, and create detailed technical specifications.
Incremental Migration
Execute phased migration, maintain parallel systems during transition, implement comprehensive testing, validate business logic preservation, train teams, and ensure zero downtime cutover.
Optimization & Decommission
Optimize performance, implement monitoring, gather user feedback, refine features, validate full functionality, decommission legacy systems, and establish ongoing maintenance.
Frequently Asked Questions about Legacy System Modernization.
Common questions about our legacy system modernization services and process.