The invisible team behind their clients' uptime.
How Elite Digital handed off their multi-cloud server operations to a team their clients would never see, and never need to.
Infrastructure migrations are easy to start and hard to finish. We've finished them. AWS to VMware, on-prem to cloud, one Linux distribution to another, a database two major versions behind to current, the kind of work where the data has to survive and the change window has to hold.
Most migration conversations start the same way: something works, but the place it's running is wrong. Wrong vendor. Wrong contract. Wrong version. Wrong era. Wrong bill.
The technical lift is rarely the problem. The problem is everything around the lift, the undocumented assumptions, the integrations no one remembers, the schedule that has to hold while real customers keep using the system.
Every migration starts with discovery, because the "production environment" is always bigger than the architecture diagram. Cron jobs, side services, that one script that's been running since 2017, they all have to come too.
Building the destination is the easy half. The hard half is getting from "we have a working replica" to "production traffic is on it" without losing data, dropping connections, or extending the downtime window past what the business agreed to.
If something goes wrong at 2 a.m., reverting isn't a checkbox, it's a procedure that has to be designed, rehearsed, and timed. Migrations that succeed are migrations that planned for the rollback first.
A non-exhaustive list of common routes. If your migration doesn't fit one of these, and many don't, it's almost certainly some combination of them.
Repatriation work: legacy Linux workloads back into customer-controlled infrastructure, often for cost or data-residency reasons.
The classic "move us off the rack", usually triggered by hardware aging out, a colo move, or a board mandate.
A platform migration, not just a host migration. Hand-built servers consolidated into a real orchestrated environment.
Distribution upgrades and replacements, usually when the OS is past end-of-life and patches have stopped coming.
Database major-version upgrades. The schema survives. The queries still run. The auditor stops asking.
DigitalOcean, AWS, GCP, Azure, Hetzner, the move between them, with care for the data, the networking, and the bill on the other end.
The pattern is boring on purpose. Migrations that go well look like the same set of steps applied to different stacks, not heroic last-minute saves.
Inventory the workloads, the dependencies, the cron jobs, the side services, the integrations no one wrote down. Most migration risk lives in the gap between the diagram and the reality.
Architect the target environment. Pick the data-transfer strategy (live replication, dump-and-restore, snapshot, storage-level). Plan the cutover. Write the rollback before writing the runbook.
For anything non-trivial, the cutover gets rehearsed end to end against a staging environment first. We measure the actual downtime, find what breaks, and fix the runbook before production.
Production cutover during the agreed window, with a tested rollback ready, monitoring in place, and someone senior watching the metrics while the switch is flipping. And then we stay long enough to be sure it stuck.
Designing, building, and running real cluster platforms, multi-tenant when they need to be, production-grade. For teams who want the benefits of a shared platform without the year-long learning curve.
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Read moreTell us the source, the destination, and the deadline, we'll tell you whether we've done it before, how long it usually takes, and what the gotchas are. 30 minutes, no obligation.