Cloud Migration Services.

Cloud migration is the move of applications, data, and infrastructure from on-premise hardware or one provider to a cloud platform such as AWS, Azure, or GCP. It is normally done in waves so each workload is validated before the next one moves, which keeps downtime inside a planned window. Most estates end up as a mix of rehosted, replatformed, and rebuilt workloads rather than one single approach.

Assess the estate and its dependencies, build the business case and target cost model, choose a migration strategy per workload, stand up the landing zone with identity and networking, migrate in waves with a rollback path, validate and cut over, then optimize and operate. The order matters because landing zone decisions constrain everything that moves after them. Skipping the assessment is the most common reason a migration overruns its budget.

The standard set is retire, retain, rehost, relocate, replatform, refactor, and repurchase, usually called the 7 Rs. Rehost is the fastest to execute, refactor gives the lowest long-term run cost, and retire is the one teams forget even though it removes work outright. A good assessment tags every workload with one of these before any migration begins.

It is the decision record for how each workload moves: the chosen R, the target services, the wave it belongs to, the cutover and rollback plan, and the cost and risk you accept. Without one, teams default to lift and shift everywhere and inherit the same bill they were trying to reduce. The strategy is the first deliverable of the assessment, and it is written so your own engineers could execute it.

Cloud migration consulting services cover the estate assessment, dependency mapping, target architecture, business case, and wave plan, without touching production. You end up with a strategy, a cost model, and a runbook for the waves. Most clients then keep the same team for the migration itself, but that is a separate decision.

A focused single-workload migration typically runs $20,000 to $75,000. Larger multi-application estates start around $100,000 and are delivered in phased waves. Right-sizing and reserved capacity usually offset a meaningful share of the ongoing run cost, and the assessment gives you firm numbers before anything moves.

A focused workload is usually a few weeks from assessment to cutover. A large estate runs several months, split into waves so value lands early instead of only at the end. The dependency map sets the wave order, so the timeline comes from your estate rather than a template.

It depends on your workloads, your existing licensing, and what your team already knows how to operate. AWS has the widest service catalog, Azure usually wins when you are heavy on Microsoft licensing and identity, and GCP is strong for data and analytics workloads. Our engineers work across all three and recommend on fit and run cost, not preference.

Yes. AWS is the platform we migrate to most often. That covers landing zone setup with Organizations and Control Tower, EC2 and RDS rehosting, containerization on ECS or EKS, and S3 with lifecycle policies for storage. Azure and GCP migrations follow the same process using the equivalent services.

Cloud migration managed services cover what happens after cutover: monitoring, patching, backup and restore drills, scaling, incident response, and monthly cost tuning. Buying cloud migration and management services together means the engineers who moved the workload keep operating it, so there is no handover gap between the team that migrated it and the team that runs it. You get production reliability without staffing a full-time ops team.

Right-sizing, reserved and spot capacity, autoscaling, storage lifecycle rules, and removing idle resources. We set budgets and alerts per environment so a runaway cost surfaces quickly instead of on the next invoice. Cost review is part of the engagement rather than an upsell.

Identity and access, network segmentation, encryption in transit and at rest, secret management, and audit logging are built into the landing zone rather than bolted on later. Controls are mapped to the standards your industry expects, such as SOC 2 or HIPAA, and where an audit is in scope we capture evidence from the first wave, so your auditors get logs and infrastructure as code rather than screenshots.