Keep your technology operation stable, fast and available
This service transforms legacy applications with obsolete technologies toward modern platforms (cloud-native, microservices, APIs) without needing to completely rewrite the system. Through architectural analysis, use of generative AI to accelerate refactoring, incremental modernization strategies (strangler pattern, feature flags) and preservation of validated business logic, the service reduces technical debt, improves maintainability, scalability and security while maintaining operational continuity. Ideal for companies with critical systems in obsolete technologies that need to modernize without the risk and cost of greenfield projects.
Companies operate legacy systems (COBOL, Visual Basic, ASP.NET Framework, monolithic applications) that work but are difficult to maintain, don't scale, have security vulnerabilities and slow innovation because any change is costly and risky. Rebuilding from scratch (greenfield) is prohibitively expensive, risky and takes years, while maintaining the status quo accumulates unsustainable technical debt and puts the business at competitive disadvantage. Without intelligent modernization strategies, companies are trapped between the cost of replacing and the risk of maintaining obsolete systems.
Incremental modernization strategies that update critical systems without big-bang rewrites, reducing risks and allowing continuous value delivery.
Legacy code refactoring, obsolete dependency elimination, framework updates and modern pattern application that facilitate future maintenance.
Use of AI (Azure OpenAI, GitHub Copilot) to accelerate code analysis, test generation, automated refactoring and code migration between languages/frameworks.
Migration of complex business rules and logic validated by years of use, avoiding risk of implicit knowledge loss that occurs in complete rewrites.
We analyze legacy source code identifying dependencies, cyclomatic complexity, technical debt, security vulnerabilities and coupling. We use static analysis tools (SonarQube, NDepend) and generative AI to map critical business logic. We prioritize modules according to criticality, complexity and business value.
We define modernization strategy (strangler pattern, lift-and-shift, replatform, refactor, replace) per module. We design target architecture (microservices, cloud-native, APIs), establish incremental migration phases and define success criteria, quality metrics and rollback plan.
We execute code refactoring using generative AI to accelerate (method extraction, logic simplification, dead code elimination). We migrate modules incrementally, implement APIs to decouple components, create automated regression test suite and validate equivalent functionality between legacy and modernized versions.
We deploy modernized versions using safe rollout strategies (canary, blue-green), monitor production behavior comparing with legacy baseline, validate performance and stability, and gradually redirect traffic from legacy to modernized version. We maintain rollback capability until confirming total stability.
Company with monolithic ASP.NET Framework (4.8) application on Windows IIS that cannot run in containers or scale horizontally, limiting growth capacity.
Incremental migration to .NET 8 with modular architecture in Azure App Service, improving deployment time from 2 hours to 5 minutes and reducing hosting costs by 50%.
Java monolithic application with 500,000 lines of code where any minor change requires complete application deployment, generating risks and weeks of delays.
Extraction of 5 critical microservices (billing, inventory, users) using strangler pattern, allowing independent deployments and reducing feature time-to-market by 60%.
Custom ERP system in Visual Basic 6 that the company cannot maintain (scarce developers, no Microsoft support, critical vulnerabilities).
AI-assisted migration accelerating code analysis and .NET equivalent code generation, completing modernization in 8 months vs 18-24 months estimated manually.
Report with complexity analysis, technical debt, obsolete dependencies, security vulnerabilities and estimated modernization effort per module.
Detailed plan with modernization strategy (strangler, replatform, refactor), target architecture, incremental phases, risks and mitigation plan.
Target architecture diagrams (microservices, cloud-native, APIs), selected technology stack, applied design patterns and decision justifications.
Modules or components migrated to modern technologies (.NET Core, Node.js, Python, microservices) with clean code, automated tests and updated documentation.
Automated tests (unit, integration, end-to-end) that validate functional equivalence between legacy and modernized version, guaranteeing no bug introduction.
Build, test and deployment automation (Azure DevOps, GitHub Actions) with safe rollout strategies (blue-green, canary) and post-deployment monitoring.
Architecture, technical decisions, development guides, deployment runbooks and troubleshooting guides updated reflecting modernized system state.
Contact us for a personalized consultation and discover how we can help you achieve your goals.
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