of legacy migration projects exceed budget or timeline. We are the other 27%.
Migration and ModernizationThe migration and modernization company that ships on schedule. Legacy systems replaced without rewriting history.
We replace legacy monoliths, outdated infrastructure, and brittle codebases with cloud-native architecture, zero-downtime deployments, and continuous integration and delivery pipelines. Every migration starts with an assessment before any code moves.
Legacy systems do not fail all at once. They fail incrementally, one missed deadline at a time.
Drag to reveal the exact difference between what you have and what you get.
This is not a concept diagram. This is a representative sample of the architecture and deployment pipeline we ship. Drag the divider left to see the legacy state, right to see the modernized state.
Four migration types. One consistent approach: assess before you move anything.
Monolith to microservices migration
We use the strangler fig pattern: extract the highest-value service domain first, run it in parallel with the monolith, then route traffic incrementally. We do not attempt a full rewrite. We migrate service by service with zero downtime at each phase.
On-premises to cloud migration
Lift-and-shift gets you to the cloud. Cloud-native refactoring makes it cheaper to run there. We do both in sequence: move first, optimize second. We define the target cloud architecture, provision infrastructure as code, and migrate workloads in stages with rollback gates at every phase.
Legacy application modernization
PHP 5 to PHP 8. Rails 3 to Rails 7. .NET Framework to .NET 8. We upgrade and modernize legacy applications by replacing deprecated libraries, refactoring anti-patterns, adding automated test coverage, and shipping continuous integration and delivery pipelines so every future change is safe and fast.
Platform and data migration
Ecommerce platform changes, database engine migrations, content management system replacements. We build migration scripts with dry-run capability, run parallel validation against both systems, and define a clear cutover point with a documented rollback path. We do not migrate without a verified rollback plan.
SaaS platform modernization: legacy monolith to cloud-native microservices on AWS in 20 weeks.
Three reasons to hire a migration and modernization consultant here when migrations fail elsewhere.
We document the full system before moving anything
Every migration starts with a 2-week assessment: codebase audit, dependency map, integration inventory, and target architecture. Most migrations fail because undocumented dependencies are discovered mid-build. Our assessment removes that risk before any code moves.
Legacy modernization →No big-bang migrations. Value in every sprint.
We use the strangler fig pattern for application migration and incremental traffic routing for cutover. Each phase delivers something in production and has a documented rollback path. You are not waiting 6 months to see results. Sprint 1 ships to production.
Software migration services →We test the rollback before we test the cutover
Every data migration script has a dry-run mode and a verified rollback. Every traffic routing phase is validated against the rollback path before advancing. The cutover weekend is not the moment you discover whether rollback works. It should already be tested and boring.
Monolith to microservices →What chief technology officers and engineering leads ask before a migration engagement.
We handle legacy application modernization, monolith to microservices migration, cloud migration, database migration, and platform re-architecture. See the full list of migration services at software migration services and monolith to microservices migration.
We use a strangler fig pattern for most migrations: build the new system alongside the old one, route traffic incrementally, and decommission legacy components only after the new system is proven. Zero-downtime deployments are enforced through blue-green or rolling update strategies from the first production release.
A legacy application modernization typically takes 3 to 6 months depending on codebase size, integration count, and data complexity. A monolith to microservices migration typically runs 4 to 8 months. We scope the timeline against your actual codebase during the assessment before quoting, and deliver value in every sprint rather than at the end.
Data migration is scoped as a separate workstream from application migration. We build migration scripts with dry-run capability and a rollback path, run parallel validation against both systems, and define a clear cutover point with zero data loss. We do not migrate data without a validated rollback plan.
Staying on legacy compounds. Developer productivity on legacy codebases degrades 10 to 30 percent per year as technical debt accumulates. Unplanned outages on monolithic systems cost 3 to 8 times more to recover from than on distributed architectures. Most clients recover migration costs within 12 to 18 months through reduced ops overhead and faster release velocity.
Tell us about your legacy system.
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