Software Migration
Moving legacy systems, databases, and platforms forward — carefully, with a plan for the data in between.
Legacy systems rarely fail all at once. They just get more expensive, harder to secure, and harder to staff — until a business is stuck paying rising costs to keep something running that nobody fully understands anymore.
Migrations get postponed because they are risky. Teams have seen a "simple" platform switch turn into weeks of broken integrations and lost data, so the old system stays in place long past the point it should have moved.
We treat migration as a discovery problem first and an engineering problem second. We map what the system actually does — including the parts nobody documented — before we plan how to move it.
We map dependencies, data flows, and integration points first — including the business logic that got buried in years of patches and nobody wrote down. We do not start moving anything until we know what it actually does.
We break the migration into phases, define what "done" looks like at each one, and keep a rollback path available in case something breaks. No big-bang cutover with no way back.
Data is the highest-risk part of any migration. ETL processes, integrity checks, and validation get dedicated attention — not treated as a checkbox at the end of an application migration.
Where possible, we run the old and new systems side by side before fully switching over, so discrepancies get caught by us — not by your customers.
Not everything in a legacy system needs replacing just because it is old. We migrate what needs to move and leave what already works alone, instead of rewriting for the sake of rewriting.
Usually it is not about the system breaking today — it is about rising infrastructure costs, unsupported platforms, security exposure, or not being able to hire anyone who knows the old stack anymore. If none of that applies to you, migration may not be worth the risk yet, and we will tell you that instead of pushing a project you do not need.
We design migrations to minimize downtime, using phased rollouts and parallel runs wherever the architecture allows it. For systems where zero downtime is not realistic, we plan the cutover window in advance and communicate it clearly, rather than surprising you mid-migration.
Yes — data migration is usually the riskiest part, and we treat it as its own workstream with integrity checks and validation, not an afterthought bolted onto the application migration.
That is common, and it is exactly why we audit before touching anything. Years of patches often bury business logic nobody documented. Part of our discovery phase is surfacing that hidden logic so it does not silently disappear in the new system.
We handle cloud migrations, legacy system modernization, and database/ETL migrations across the common stacks. If your specific combination is unusual, tell us in the initial conversation and we will give you an honest read on whether it is something we can take on.
It depends heavily on system complexity and how much undocumented logic there is to uncover. A focused database or single-application migration can run 6 to 10 weeks; larger legacy modernization projects with multiple integrations take longer. We scope this precisely after the audit phase, not before.
Tell us what you are running and why moving it feels risky. We will give you a straight read on what it would actually take.