We move workloads from your server room to Azure, AWS, Google Cloud or Oracle Cloud one wave at a time, each with its own plan and its own way back. It starts with a two-week assessment that gives you an inventory, a wave plan, a cost range and the risks in writing, before anything moves.
What we cover
When a move makes sense
Hardware reaching the end of its life, a database that has become hard to maintain and scale, a data center contract coming up for renewal, or file servers nobody wants to keep patching. Each is a reason to move, and each needs a different plan.
A major California city ran a mission-critical Oracle database on Solaris servers nearing end of life. We mapped its dependencies, confirmed the applications would work unchanged and re-platformed it to Linux without disrupting public services, which also left it ready for a later move to the cloud. A national nonprofit's on-premises Oracle database had become hard to maintain, so we moved it to Amazon RDS for Oracle with automated workflows and validation tests.
Assessment
The assessment is fixed in scope and takes two weeks. We inventory what you run and how the pieces depend on each other, then decide with you what should move as it is, what should be rebuilt for the cloud and what should stay where it is. You get the inventory, a wave plan, a cost range and the risks, in writing.
Migration waves
Each wave moves workloads that belong together. Before the real move we rehearse it, time it and test the way back, so the cut-over window is known rather than guessed. Databases, file shares, email and applications each get their own plan, because what makes a database move safe is not what makes a file move safe.
Where a move is large, we automate it. A document migration to SharePoint would have taken about 22 days one file at a time, so we rebuilt it around a SQL work queue with parallel uploads, automatic retries and crash recovery. It moved 601,064 files unattended in under three days, and fewer than 0.01% failed.
Cut-over
Cut-over happens in an agreed window. Validation tests run before users come back: counts and totals for data, file counts for documents and the key transactions of each application. If a test fails, the way back has already been rehearsed. From the first day in the cloud, monitoring and cost alerts are on, services use managed identity instead of stored passwords, and your team has the runbooks for what now runs there.
Risks
Downtime: every wave has a rehearsed cut-over window and a way back. Hidden dependencies: an application that quietly reads another server's files breaks after a move, so the assessment maps dependencies before anything is scheduled. Data that does not match: validation tests compare source and target before users are switched. Costs that grow after the move: the plan gives a cost range up front, and cost alerts and right-sizing reviews keep the bill in view. Security gaps: identities, network rules and backups are set up before the first workload arrives, not after.
What you get
Each wave ends with its workloads running in the cloud, the validation results that show they match, and the runbooks your team needs. Workloads on Azure can be handed to our Microsoft Consulting team for day-to-day administration, and our remote DBA team can look after the databases, on Oracle, PostgreSQL, SQL Server or MySQL.
Case studies
Client names are withheld. We are happy to share details on a call.
DeliveredOn-prem → Amazon RDS
Nonprofit
The nonprofit's on-premises Oracle database had become hard to maintain and scale. We planned the move with automated workflows and validation tests, migrated to Amazon RDS for Oracle with minimal disruption and left a repeatable process for future changes.
Automated, tested migrationLess day-to-day database upkeep
Delivered600k files, < 3 days
Document management
A one-file-at-a-time script would have needed about 22 days of continuous running. We rebuilt the migration around a SQL work queue with parallel uploads, automatic retries and crash recovery, and it finished unattended in under three days.
1,125 → 8,314 files per hourUnder 3 days instead of about 22
DeliveredNo service disruption
Local government
A major California city ran a mission-critical Oracle database on Solaris servers nearing end of life. We mapped the dependencies, confirmed the applications would work unchanged and re-platformed the database to Linux without disrupting public services.
No disruption to public servicesMinimal application changesQuestions
Azure, AWS, Google Cloud and Oracle Cloud. The assessment recommends a platform for each workload, and some clients run more than one. Our Microsoft, AWS and Google partner pages describe what we do on each.
Two weeks, fixed in scope. At the end you have an inventory, a wave plan, a cost range and the risks, in writing, before you commit to the move itself.
Each wave has a planned cut-over window, rehearsed beforehand, and a way back if a test fails. How long a window is depends on the workload, so the plan states it wave by wave. A California city's Oracle database moved without disrupting public services, and a nonprofit's moved to Amazon RDS with minimal disruption.
No. The assessment decides workload by workload what should move as it is, what should be rebuilt for the cloud and what should stay where it is.
Yes. Email moves to Microsoft 365, including from Google Workspace and between Microsoft 365 tenants, and each has its own page under Cloud Consulting. Files and documents move to SharePoint.
From the blog
September 30, 2026
September 28, 2026
August 20, 2026
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In two weeks you get an inventory, a wave plan, a cost range and the risks, in writing.
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