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Legacy
modernization

The old system works.
Until it doesn't.

We migrate legacy systems to modern stacks. Module by module. Without stopping the operation. The old system keeps running until the new one proves it works better.

  • Zero downtime
  • Strangler fig
  • Module by module
  • Docs first
  • From $4.2M
STG legacy system modernization
How it works
with us
03

We document first. We migrate after.

[01]

Zero downtime
during migration

The old system stays in production. The new one is built alongside it. We only cut over once the new one proves it works.

[02]

Module by module.
No big-bang

We use the strangler-fig pattern. Each module is migrated, tested and released separately. If something fails, the old one is still there.

[03]

Documentation
before code

First we understand what the system does. We document it. Then we migrate. Nobody touches what they don't understand.

Lost knowledge

The person who built it is gone.

The system is 12 years old. Whoever built it left in 2018. Nobody understands that code. Everyone is afraid of it.

Fragile system

Every change breaks something.

A "small" tweak takes 3 weeks. And when it ships, something else stops working. Nobody wants to touch anything.

Onboarding pain

New hires can't take it.

New people take 6 months to understand the system. Some quit before that. Turnover costs more than the migration.

By the numbers
Systems migrated

40+

Legacy systems migrated to modern stacks without stopping the operation.

Downtime at cutover

0

The old system stays live until the new one is proven — a genuine zero-downtime cutover.

Diagnostic delivery

3–4w

Full source audit, technical risk map and prioritized migration roadmap in three to four weeks.

Big-bang failure rate

60%

Typical big-bang rewrites fail 60% of the time. Progressive migration doesn't gamble with the operation.

FAQ

Direct
answers

It depends on the size of the system. A diagnostic takes 3–4 weeks. An average progressive migration runs between 6 and 12 months. A full rewrite, between 8 and 14 months. We give estimated timelines after the diagnostic.

The data isn't touched until the new module is ready and tested. Data migration runs with automatic validation: record by record, we verify everything arrived complete. If something doesn't match, it's rolled back.

Yes. That's the basis of the strangler-fig pattern. The old system stays in production. The new one is built alongside it. Users notice nothing until the new module is ready to replace the old one.

It depends on the case. We use Node, Go, Python, TypeScript, React, PostgreSQL and cloud (AWS/GCP/Azure). The decision is made in the diagnostic, based on what your internal team can maintain afterwards. Common paths: .NET to Node/Go, Java monolith to microservices, COBOL to Python, Oracle to PostgreSQL, on-prem to cloud.

Each migrated module has immediate rollback. If something fails, the old module is reactivated in minutes. We never shut the old one down until the new one has been stable in production for weeks.

Progressive migration lets you pause between modules. If the budget shrinks, we pause. What's already migrated keeps working. It resumes when resources are available. Nothing is lost.