What We Build With It
We engineer phased modernization strategies and implement modern architectures that unlock new capabilities and reduce technical debt.
Comprehensive Legacy System Assessment
Deep analysis of your existing systems, codebase, and dependencies to identify technical debt, business logic, and potential risks, forming a data-driven modernization roadmap.
Incremental Refactoring & Decomposition
Applying patterns like Strangler Fig and Anti-Corruption Layer to gradually replace or extract functionality from monolithic systems without a risky 'big bang' rewrite.
Cloud-Native Re-platforming & Migration
Migrating applications and databases to modern cloud platforms, containerizing them, or re-architecting for serverless to gain scalability and cost efficiency.
Why Our Approach Works
Pragmatic modernization transforms legacy systems from liabilities into strategic assets, driving agility and innovation.
Accelerated Innovation & Feature Delivery
Modern architectures and agile practices enable your teams to develop and deploy new features faster, responding rapidly to market demands.
Significant Cost Reduction
Eliminate expensive licensing fees, reduce maintenance overhead, and optimize infrastructure costs by moving to modern, cloud-native platforms.
Enhanced Security & Compliance
Address critical security vulnerabilities inherent in outdated systems and build in modern security controls, ensuring compliance with current standards.
Our Go-To Stack for Legacy Modernization
We leverage a blend of proven architectural patterns and modern technologies to execute successful, low-risk legacy modernization.
Architectural Patterns
Strangler Fig Pattern, Anti-Corruption Layer, Microservices Decomposition for incremental, safe transitions.
Cloud Platforms
AWS, Azure, Google Cloud for re-platforming and cloud-native re-architecture.
Containerization
Docker, Kubernetes for packaging legacy applications into portable, scalable containers.
Serverless Technologies
AWS Lambda, Azure Functions, Google Cloud Functions for re-architecting event-driven components.
Database Migration Tools
AWS DMS, Azure Database Migration Service, custom ETL pipelines for secure data transfer.
Monitoring & Coexistence
Unified observability and API gateways to manage the parallel operation of legacy and modern systems during transition.
Frequently Asked Questions
Rewrite or Refactor: Which approach is better for modernization?
+It depends. A full rewrite is tempting but extremely risky. We generally favor incremental refactoring and decomposition, using patterns like Strangler Fig to isolate and replace functionality piece-by-piece, delivering value continuously with lower risk.
How do you handle undocumented legacy code and business logic?
+This is a common challenge. We use a combination of automated code analysis, reverse engineering, and collaborative workshops with domain experts to extract and document critical business logic before any changes are made.
How do you minimize business disruption during modernization?
+We employ phased rollouts, feature toggles, parallel running of old and new systems, and robust testing strategies. Our goal is to ensure continuous operation and minimal impact on end-users throughout the modernization journey.
What is an Anti-Corruption Layer (ACL) and why do we need one?
+An ACL is a layer that translates between a modern system’s domain model and a legacy system’s model. It prevents the ‘messy’ logic of the legacy system from leaking into and ‘corrupting’ your new, clean architecture, allowing them to coexist safely.
How do you decide when a legacy system is finally ready to be sunset?
+Sunsetting happens once 100% of the critical business logic and data have been successfully migrated and verified in the new platform. We follow a strict ‘dark launch’ and decommissioning protocol to ensure no essential functions are lost.
What are the biggest risks in modernization and how do you mitigate them?
+The biggest risks are scope creep, data loss, and unexpected downtime. We mitigate these through strict incremental delivery, automated data validation, and robust rollback plans, ensuring that every step forward is verifiable and reversible.