Legacy application modernization that moves you forward while the business keeps running.

Cost depends on the size and age of the codebase, how many integrations and databases it touches, how much data has to move and which path each module takes, since rehosting takes far less work than rebuilding. We price the assessment as a fixed fee, then each migration phase from its own scope, so you can pause between phases. You'll get a written scope after a free call.

The assessment takes 3 to 4 weeks, and the first modernized slice usually goes live 8 to 14 weeks after kickoff. A full migration can run from a few months to more than a year, depending on the system's size and how many modules need rebuilding. Because work ships slice by slice, you see the benefit long before the last module moves.

It depends on each module's business value and technical health, so the answer is often a mix. Rehosting moves the application to cloud infrastructure largely unchanged and suits stable code on aging servers. Refactoring restructures code that still fits the business. Rebuilding suits parts that block new features or run on unsupported technology. Sometimes replacing a module with a SaaS product, or retiring it, is cheapest, and the assessment says so.

The strangler pattern, also called the strangler fig pattern, replaces a legacy system gradually by putting a routing layer in front of it and moving features to new code one at a time. Users keep working in one application while more of it runs on the new system behind the scenes. When every feature has moved, the old system is switched off.

The business keeps running throughout, because each slice is built alongside the old system, run in parallel and switched over behind a feature flag. Cutovers are scheduled for quiet hours, and each one has a tested rollback, so a problem means switching back quickly while we fix it.

We map every table and field, clean the data with your team, then keep old and new databases in step with change data capture while both systems run. After each move we reconcile row counts, totals and sample records, and any mismatch is fixed before the old copy is retired.

A new web app starts from a blank page, while legacy modernization starts from a system your business already depends on, with years of rules and data inside it. Much of the work is discovering and protecting existing behavior, which is why we add characterization tests and run old and new side by side. If you're launching a new product, our web app development service is the better fit.

Yes, most legacy systems we see have little documentation. We read the code, trace the data, watch how staff use the system and record its behavior in automated tests, then write the documentation as we go. Interviews with long-serving users fill in the reasons behind rules the code alone can't explain.

Moving to AWS, Azure or Google Cloud is common but optional. Some clients keep the modernized system on their own servers, and we package it in Docker containers so it runs the same wherever it's hosted. The assessment compares hosting options on cost, security and the skills your team already has.