Modernize withoutbreaking the systemthat runs your business.
We retire legacy systems in slices, not weekends. Strangler fig migrations, dual-run windows, and a rollback plan in writing for every cut. Your team keeps shipping. Your customers do not notice.
Three convictions. Every migration. No exceptions.
“Modernize without breaking what already pays the bills.”
The system you want to retire is also the one running payroll on Friday. We replace it in slices, behind feature flags, with a rollback plan in writing. No big-bang weekends. No 3 a.m. cutovers that hold the business hostage.
“A strangler fig beats a hand grenade.”
We wrap the legacy first, route a single workflow through the new system, and prove the lift before the next slice ships. Each step pays for the next. The old system retires the day it stops handling traffic, not the day a project plan said so.
“If we cannot tie it to a number, we will not ship it.”
Infra cost cut. Release frequency up. Security finding closed. Hours returned to the team. Every modernization phase ships with the metric it is supposed to move and a date the leadership team will see it.
One system, two states, a path between them.
The same business logic, mapped honestly today and re-shaped around services that ship every week. Strangler fig pattern, behind feature flags, with the old system answering traffic until the new one proves itself.
The same system, six months apart.
Five ways to modernize. Tap one.
Not every system needs a rewrite. Most need the cheapest move that buys real value. Tap a strategy to see the trade-off in effort, risk, and time to first measurable lift.
Same shape, better engine.
Swap the runtime, the database, or the orchestration layer without changing what the app does. Containers replace VMs. Managed Postgres replaces on-prem Oracle. The lights stay on, the bill drops, the team stops paging.
Six things we modernize. Done well.
Mainframe & monolith
COBOL, RPG, classic .NET, Java EE, PHP 5. We assess the codebase, identify the high-value seams, and migrate them onto modern stacks without halting the business.
Cloud migration
AWS, Azure, GCP. Lift-and-shift where it pays, replatform where it does not. Landing zones, networking, IAM, and FinOps so the bill goes down, not up.
API enablement
Wrap legacy systems in clean REST or GraphQL contracts. Decouple consumers from the old database. New apps ship against the API while the legacy slowly retires behind it.
Database migration
Oracle to Postgres. SQL Server to managed cloud SQL. Mainframe DB2 to a modern warehouse. Schema mapping, dual-write windows, data reconciliation, and a tested rollback at every step.
UI modernization
WinForms, Silverlight, jQuery, AngularJS. We replace the front end with React or a clean SPA, keep the backend stable, and hand users a system that feels new without retraining them.
DevOps & automation
CI / CD pipelines around legacy code. Containerization. Observability that actually paged the right person. The team starts releasing weekly instead of quarterly.
Five phases. No surprises.
Audit
Read the code, run the dependencies, talk to the people who actually maintain it. Score the system on risk, cost, and business value. Honest read in two weeks.
Map
Carve the system into bounded contexts. Mark the high-value seams, the dead code, and the integrations that hold the rest together. A target architecture you can hand to engineering.
Sequence
Order the slices by risk and ROI. Each phase de-risks the next. Budgets, owners, kill criteria, and a rollback plan attached to every step.
Migrate
Strangler fig, behind feature flags. Real users, real traffic, dual-run windows. The new module takes over only when the metrics match the old one.
Retire
When the legacy module stops handling traffic, we turn it off. Documentation, archive, license cancellation. The cost line drops on next month’s bill.
Questions, Answered
Frequently Asked Questions
We modernize in stages and run the old and new systems side by side during the switch. Traffic moves over gradually, and we keep a rollback path ready, so users stay online the whole time.
Most migrations take three to eight months, depending on the size of the codebase and data. We start with an assessment that gives you a phased plan and a clear timeline before any code changes.
Aging systems get slower, harder to secure, and more expensive to maintain. They also block new features and integrations, which lets competitors move faster while your costs keep rising.
Yes. We move on-premise systems to AWS, Azure, or GCP, and we right-size the architecture so you pay for what you use. Data migration, security, and testing are part of the move.
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Let’s retire the systemthat is holding the team back.
Tell us about the system that keeps you up at night. In a 30-minute call we will tell you the smallest first move that retires real risk, and how soon we can run it.