Cloud migration services for workloads that need a safer operating model, not a new hosting bill.

Cloud migration services assess, plan, and move applications, databases, identity, networks, and operating processes into AWS, Azure, GCP, or another target. Responsible delivery also covers dependency mapping, security controls, infrastructure as code, cutover, rollback, validation, cost baselines, and team handover.

Choose from the business deadline, application condition, support horizon, risk, team skill, and target economics. Rehosting can exit failing infrastructure quickly. Replatforming removes selected operating burden. Refactoring is justified only when a measured product or reliability constraint pays for the extra change. Some workloads should be replaced, retired, or left in place.

The choice depends on current licences, identity, database engines, data services, geographic needs, commercial commitments, and the team that will operate the result. AWS and Azure have separate migration details on this site. We do not force a provider decision when the existing estate or operating team points elsewhere.

We define the acceptable outage first, then select replication, parallel running, blue-green traffic switching, or a scheduled restore accordingly. A cutover rehearsal measures duration and exposes missing steps. Production proceeds only with validation checks, named decision owners, a rollback threshold, and a source-retention period.

Bill shock is a common post-migration complaint: forgotten instances, wrong-sized services, and startup credits that expire exactly when dependencies are hardest to unroll. Build billing alerts and right-sizing into the migration itself, not as an afterthought. Get an architecture review of the target setup before the first invoice. The cheapest migration is the one whose running cost was modeled before cutover.

Not necessarily. The proven pattern is parallel run plus gradual traffic shift: the new environment runs alongside the old, traffic moves in stages, and the old system stays warm until acceptance completes. Real migrations have cut over with minutes of database downtime or none at all. Any plan that requires a long outage window is a plan that has not been rehearsed enough.

Do not pre-code portability. Pre-think it. Commit to a cloud or commit to portability, but not neither: running cloud-agnostic on top of one vendor is the worst of both worlds. Use the platform's differentiated services where they earn their keep, and keep a credible migration plan in the drawer: documented data exports, standard interfaces at the boundaries, and no proprietary constructs you cannot leave.

Ask for the dependency map before the wave plan: if they cannot show you what talks to what, they cannot plan the cutover. Require a rehearsed rollback runbook with named go and no-go owners. Watch the first wave: it should be a representative workload, not the easiest one. And confirm who runs the target environment afterward: you need someone who can resolve problems under stress, not just deploy.

A focused first workload includes dependency mapping, target design, infrastructure as code, migration, rehearsal, cutover, validation, and handover. Multiple applications, cross-engine databases, regulated evidence, hybrid networking, or short deadlines increase scope. Request a 30-min call to get a number for your specific project.