Legacy Modernization
Legacy to cloud migration is how we modernize the systems that are slowing your business down, executed without pausing product delivery. Using strangler-fig patterns and phased approaches, we migrate incrementally while keeping your operations running.
We start with a two-to-four week discovery producing a prioritized modernization plan. Build phases follow in structured milestones, with database modernization, component rewrites, and cutovers planned to avoid operational disruption.
Capabilities
Strangler Fig Migration
Incrementally replacing legacy components with modern equivalents.
Database Modernization
Migrating from legacy databases to modern, scalable solutions.
Technology Stack Upgrade
Moving from .NET, Java, PHP to modern stacks like TypeScript, Go, Python.
Refactoring & Rewriting
Strategic refactoring to improve maintainability and performance.
How It Comes Together
A typical software delivery architecture
Requirements, constraints, and success criteria defined with stakeholders.
System design, technology choices, and integration points mapped out.
Iterative development with automated testing at every layer.
CI/CD pipelines ship changes safely, with rollback built in.
Observability and feedback loops guide the next iteration.
In Practice
The riskiest moment in any legacy modernization isn't the migration itself, it's the multi-week feature freeze most teams assume they need to execute it. We use strangler-fig patterns specifically to avoid that freeze: new functionality gets built in the modern stack while the legacy system keeps running underneath, and traffic shifts incrementally as each piece proves itself in production. That means your product roadmap doesn't stall for the duration of the migration, and any single cutover carries much less risk than an all-at-once rewrite. Database modernization gets sequenced separately from application logic, since coupling the two multiplies risk without a proportional benefit, and we maintain dual-write or replication strategies during the transition so a rollback is always a real option, not a theoretical one. We've found the biggest source of failed modernizations isn't technical, it's underestimating the undocumented business logic buried in a legacy system after a decade of patches; our discovery phase is built specifically to surface that logic before it becomes a production incident.
Related Services
Ready to get started with Legacy Modernization?