Move what is worth moving, in an order that keeps you trading
A migration is a sequencing problem more than a technical one. We move workloads one at a time, rehearse the cutover before the day it counts, and keep a way back that somebody has actually tested.
In short: We inventory what you run, move the workloads that benefit from moving, and rehearse the data cutover before the real one. Lift and verify first. Redesign afterwards, once you have a working baseline to compare against.
Don’t rearchitect while you move
The most expensive migrations are the ones that try to be a redesign at the same time. The hosting changes, the database engine changes, the deployment model changes and the service boundaries move, all in one release. Then something is slower or wrong, and there is no way to tell which decision caused it. Every investigation starts with four suspects and no alibi for any of them.
Move first. Keep the shape of the system as it is, get it running on the new platform, and confirm it behaves the way it did before. Then improve, one change at a time, measuring against something that already works. The redesign is usually worth doing. It is just a second project, and treating it as one makes both of them cheaper.
It also lets you stop. A migration that has to finish before anything works is a migration you cannot pause when the quarter gets busy.
An inventory that includes the awkward things
Scheduled jobs, shared file mounts, hard-coded IP addresses, the reporting box under someone’s desk. These cause the late surprises, so we go looking for them at the start.
Data moved with a dress rehearsal
Copy, sync, then run the switch on a quiet evening before the one that matters. The rehearsal gives you the real duration instead of an estimate.
A way back that has been tested
The old environment stays able to take traffic until the new one has proved itself. Rollback should be a decision someone makes calmly, not an emergency.
One workload at a time
Each move delivers something on its own. If the third one goes badly, the first two still stand and you are not unwinding a year of work.
Data is where the timeline actually lives
The application is usually the easy half. Data has volume, volume takes time, and that time becomes the length of your outage unless the plan works around it. So we measure it early: a full copy timed against real data rather than a sample, then a period of continuous sync, so the final switch only has to carry whatever changed in the last few minutes.
Verification matters as much as the copy. Row counts and checksums on the tables that carry money, then a short set of business questions whose answers you already know. Revenue for last month. The number of active accounts. One specific customer’s order history. Numbers a person recognizes catch problems that a technical check passes straight over.
The cutover, and the rehearsal before it
A cutover is a script with times against it and a name against every line. Who puts the site into maintenance mode, who runs the final sync, who checks the numbers, who decides whether to continue or go back. We run the whole thing against a copy before the real one, which is when you find the DNS record with a 24-hour cache and the payment provider’s webhook still pointing at the old host.
The rehearsal also produces the number people care about most: how long the window will be. Estimating that is guessing. Timing it is not. And a team that has done the steps once already makes far better decisions at two in the morning than one reading them for the first time.
Some things should stay where they are
Not every workload is better off in the cloud. A steady, predictable, always-on system with no growth pattern to speak of can cost more per month after moving, and the project buys you nothing except a different invoice. Licensing sometimes makes the same point more sharply, particularly for older database and operating system agreements.
There are other reasons to leave something alone. Hardware dependencies. Latency to equipment on a factory floor. Data residency rules that are simpler to satisfy in one building. An application whose vendor stopped supporting it years ago and which nobody can rebuild. Often the right answer is to move most things, leave one where it is, and put a well-understood network path between them. We would rather say that in week one than in month five.
What we won’t do
We won’t move an application nobody can explain
If no one knows what a system does or who depends on it, we establish that before the move, not during the cutover. Sometimes the honest finding is that it can be switched off, and that is a better outcome than hosting it somewhere new.
We won’t run a cutover that has never been rehearsed
An untested plan is a hypothesis. We will not book a maintenance window against a sequence of steps that has not been executed end to end at least once, even when the date is inconvenient.
We won’t recommend a move that costs more and gains nothing
If a workload runs cheaper and safer where it already is, we will say so, even when it makes the project smaller. A migration should have a reason you can state in one sentence.
If the migration went wrong at 3am, what would you do?
That question sorts a plan into workable and hopeful fairly quickly. Send us what you run today and where you are thinking of putting it.
The inventory decides it. A handful of stateless services can move quickly. A system with large databases, third-party integrations and undocumented scheduled jobs takes longer, and most of that time goes on discovery and rehearsal rather than the move itself.
Will there be downtime?
Usually some. The rehearsal is what turns it from a guess into a number you can plan around. For many systems the window is short enough to fall outside business hours. For a few it is longer, and it is better to say so early than to promise otherwise.
Should we move to containers at the same time?
We would rather not. Changing where something runs and how it is packaged in one step makes any problem hard to attribute. Move, verify, then repackage with a working baseline to compare against.
Can you migrate between cloud providers, not just from on-premise?
Yes, and the pattern is the same: inventory, data plan, rehearsal, staged cutover, tested way back. Provider-to-provider moves tend to have more managed services to map, which is worth checking early because it can change the plan.
