Cloud migration services from senior engineering teams
Senior engineering teams that assess your workloads, build the landing zone, and move applications and data to AWS or Azure in planned waves, with tested rollback at every cutover.
By the Ryz Labs team · Updated October 2026
Ryz cloud migration services move applications, databases and infrastructure from data centers or another cloud to AWS or Azure, using senior engineering teams who do the hands-on work: assessment, landing zone, migration waves, cutover and cleanup. Our engineers come from the top 1% of the people we interview, work in your accounts and repos on US business hours, and stay through stabilization. We are precise about scope: we migrate and modernize workloads with your team; we do not resell cloud credits or run a managed hosting service.
What we build
- Migration assessment: an inventory of applications, dependencies, data volumes and licenses, with each workload assigned one of the "7 Rs" (retire, retain, rehost, relocate, replatform, repurchase, refactor) and a wave plan.
- Landing zones: AWS Control Tower or Azure landing zones built in Terraform, with account or subscription structure, networking, identity, logging and guardrails in place before the first workload moves.
- Rehost migrations: lift-and-shift of virtual machines with AWS Application Migration Service or Azure Migrate, for workloads where speed matters more than change.
- Replatforming: moving apps to managed services, such as self-managed databases to Amazon RDS or Azure SQL, cron servers to scheduled functions, and VMs to containers on ECS, EKS or AKS.
- Database and data migration: AWS DMS or Azure Database Migration Service with change data capture, so the old and new databases stay in sync until cutover.
- Refactoring for the cloud: breaking out the parts of an application that benefit from managed queues, object storage, serverless or autoscaling, when the business case supports it.
- Cloud-to-cloud moves: AWS to Azure, Azure to AWS, or Google Cloud to either, including identity, networking and CI/CD changes.
- Post-migration optimization: rightsizing, reserved capacity or savings plans, storage tiering and shutting down what the migration left behind.
How an engagement works
Talk. We learn why you are moving (a data center exit, a hardware refresh, a license change or scaling limits), which systems are in scope, and the constraints: downtime windows, data residency and compliance.
Match. We propose a team with experience in your target cloud and your source environment, for example VMware estates, Oracle or SQL Server databases, or mainframe-adjacent systems.
Join. The team works in your cloud accounts, repos and change process, joins standups and runs cutovers with your operations people.
Grow. Add engineers for later waves, shift into modernization work after the move, or hand over a documented environment.
Week 1 typically covers discovery tooling, interviews with application owners and a first dependency map. By month 1, the landing zone is in code and a low-risk pilot workload has moved end to end, proving the process. By month 3, the usual picture is several migration waves done or underway, a runbook refined by each cutover, and cost and performance dashboards for what has moved. Overall duration depends on how many workloads you have and how much each one changes.
The stack our teams work in
| Layer | Tools we use | Notes |
|---|
| Discovery and planning | AWS Migration Hub, Azure Migrate, AWS Application Discovery Service | Combined with interviews; tools miss undocumented dependencies. |
| Landing zone | AWS Control Tower, AWS Organizations, Azure landing zone accelerators, Terraform | Guardrails and logging before workloads. |
| Server migration | AWS Application Migration Service, Azure Migrate, VMware HCX | Block-level replication with test cutovers. |
| Database migration | AWS DMS, AWS Schema Conversion Tool, Azure Database Migration Service, Debezium | Change data capture to keep source and target in sync. |
| Bulk data transfer | AWS DataSync, AWS Snowball, Azure Data Box, AzCopy | Chosen by data volume and network capacity. |
| Containers and compute | ECS, EKS, AKS, Azure App Service, Lambda, Azure Functions | Managed services where they reduce operating work. |
| Observability and cost | CloudWatch, Azure Monitor, Datadog, AWS Cost Explorer, Azure Cost Management | Baselines taken before migration for comparison. |
How we keep migrations safe
Cloud migrations rarely fail because a VM will not copy. They fail on dependencies nobody documented, data that drifts during cutover, performance surprises and bills that come in higher than the data center. A senior team plans for each:
- Dependency mapping beyond the tools. Network flow data plus interviews with application owners find the batch job that calls a server by IP, the hard-coded file share and the license tied to a MAC address.
- Waves grouped by dependency. Systems that talk constantly move together, so chatty traffic does not cross a VPN mid-migration and add latency.
- Rehearsed cutovers. Each workload gets a test cutover in an isolated environment, a written runbook with timings, go/no-go criteria and a tested rollback path.
- Data validation. Row counts, checksums and application-level reconciliation after replication, before traffic switches.
- Performance baselines. Latency, throughput and resource use measured on-premises first, then compared after the move, so regressions are caught by numbers, not complaints.
- Security from day one. Identity federation, least-privilege roles, encryption at rest and in transit, and centralized logging are in the landing zone, not added later. Engineers have experience working within standards such as SOC 2, HIPAA and PCI DSS.
- Cost control. Budgets and alerts per account, tagging enforced by policy, and a rightsizing review after each wave, because lift-and-shift sized for peak on-premises hardware usually overspends in the cloud.
- Decommissioning. Old servers, DNS records and firewall rules are retired on a plan, so you do not pay for two environments forever.
Team shapes and cost
Typical Ryz cost is $7,000 to $15,000 per engineer per month. Mid-level engineers are $7,000 to $10,000, senior engineers are $10,000 to $15,000, and leads are $15,000 or more, quoted per team.
- Assessment and pilot team: a cloud architect or lead ($15,000+) plus 2 senior cloud engineers ($20,000 to $30,000) = from $35,000 per month.
- Migration team: a lead ($15,000+) plus 4 senior engineers across cloud, database and DevOps ($40,000 to $60,000) = from $55,000 per month. Fits a multi-wave data center exit.
- Add-on engineers: 1 or 2 senior cloud engineers on your existing migration team: $10,000 to $30,000 per month.
Project cost is team size × duration × monthly rate. Every quote is scoped per team, and you get a plan, a price and the names of the people before you start.
Dedicated team or staff augmentation?
A dedicated development team fits most migrations: a defined scope, a wave plan, and a team that owns delivery through decommissioning. If your cloud team is running the program and needs senior capacity, staff augmentation adds engineers who join your waves and report to your leads. See our hire cloud engineers and hire solutions architects pages for profiles.
If the application itself needs rework before or after the move, our legacy application modernization teams handle re-platforming and refactoring.
When Ryz isn't the right fit
If you want a managed services provider to operate your cloud around the clock after migration, or follow-the-sun coverage from Europe and Asia, a global network or MSP fits better. If the migration is part of a board-level transformation program with organizational change management, a large consultancy is the better lead. If you only need a few hours of advice, a freelance cloud architect is quicker.
Related
FAQ
Which cloud should we migrate to?
It depends on your current stack, licenses and team skills. Heavy Microsoft estates (Windows Server, SQL Server, .NET, Entra ID) often fit Azure well, and AWS has the broadest service catalog. Our AWS vs Azure comparison covers the trade-offs.
How much does cloud migration cost?
Engineering cost is team size × duration × monthly rate, with typical Ryz rates of $7,000 to $15,000 per engineer per month. A lead plus two seniors starts at $35,000 per month. Cloud consumption is billed by your provider separately.
How fast can a migration start?
After the scoping call we propose a team with names. Most of the timeline depends on scope, the number of workloads and your onboarding, especially access to source systems and cloud accounts.
Lift-and-shift or refactor?
Usually both, per workload. Rehost what needs to move fast, replatform where a managed service clearly saves work, and refactor only where scaling or cost justifies the effort.
Will there be downtime?
We design for minimal downtime with continuous replication and rehearsed cutovers. Some systems still need a short maintenance window, which we plan with you.
Questions we didn't answer? Email info@ryzlabs.com.