Move to Azure or AWS in Planned Stages
We move applications and data to the cloud one stage at a time, with a tested rollback plan before every cutover. The business keeps running while the move happens.
Core stackMicrosoft Azure · AWS · Docker · Terraform · Azure DevOps · GitHub Actions · Azure Functions · SQL Server
When a Cloud Move Makes Sense
Migrations usually start with a deadline or a limit the business keeps running into.
Not sure you are ready to move?
A cloud-readiness assessment shows which applications can move as they are and which need work first.
Cloud consultingOn-premises servers are ageing
Hardware is near the end of its life and replacing it means a large upfront spend.
Hosting costs or limits hold the business back
Your current host is expensive, inflexible or cannot give you the capacity you need.
An application struggles to scale
Busy periods slow the system down and adding capacity takes weeks.
A data center or license deadline is coming up
A contract, lease or software license ends soon and the move has to be planned around it.
Six Parts of Every Migration
Pick one to see what it usually involves and how we typically build it.
Migration assessment and planning
An inventory of what you run, how each part depends on the others and the order to move it in.
- Application and server inventory
- Dependency mapping
- Stage plan and cost estimate
Move as is or modernize
Some applications move unchanged. Others are worth updating on the way, such as moving to managed hosting. We recommend per application.
- Move as is to cloud servers
- Move to managed app hosting
- Containers where they help
Database migration
Moving databases such as SQL Server to a managed cloud database on AWS or Azure, with planned downtime and checks that every record arrived.
- SQL Server to a managed cloud database
- Schema and compatibility checks
- Downtime planning
Data migration and validation
Moving files, documents and application data, then reconciling counts and samples so you know nothing was lost.
- File and document storage
- Record counts and reconciliation
- Sample checks with your team
Cutover with a rollback plan
A rehearsed cutover with a tested rollback plan, scheduled for a quiet period agreed with you.
- Cutover runbook
- Tested rollback steps
- Go and no-go checkpoints
Post-migration optimization and support
Right-sizing resources, tuning performance and supporting your team once everything runs in the cloud.
- Cost and size tuning
- Monitoring and alerts
- Ongoing support
Rollback Plan First. Cutover Second.
Every engagement follows the same problem-first Systems Engineering Method we use across AppPotter.
Assess what you run
We list applications, servers, databases and dependencies, then agree what moves and when.
Design the target
The cloud setup is designed for security, cost and recovery before anything moves.
Plan the stages
Workloads are grouped into stages, lowest risk first, each with its own rollback plan.
Migrate and validate
Each stage moves to the cloud and is checked against the original before users switch.
Cut over
Users switch at an agreed time with the rollback plan tested and ready.
Optimize and support
After the move we tune size and cost and stay on hand for any issues.
What Changes When the Process Runs on the Right System
We agree on what to measure during discovery, so success is defined before the build starts, not after launch.
Before: Ageing servers and a looming hardware bill
After: Infrastructure that scales without upfront hardware spend
Before: A big-bang move that puts the business at risk
After: Staged moves with a tested rollback plan
Before: Applications that slow down at busy times
After: Capacity that grows with demand
Before: Doubt about whether the data arrived intact
After: Reconciled data your team signs off
Before: A deadline forcing a rushed move
After: A plan built around your deadline
Chosen for Your Systems, Not Our Preferences
We migrate to Azure or AWS, based on what you already run and the contracts you have. Databases, applications and file storage are all in scope.
Where we have the deepest production experience
- Microsoft AzureCloud
- AWSCloud
- DockerContainers
- TerraformInfrastructure as code
- Azure DevOpsCI/CD
- GitHub ActionsCI/CD
- Azure FunctionsServerless
- SQL ServerData
Also used when the project calls for it
- Containers
- Infrastructure as code
Senior Engineers, Directly Involved
- Founder-led delivery
Parth and Umesh are personally involved in every engagement.
From scoping the work to standing behind its outcome, backed by Parth's 14+ years of enterprise technology and delivery experience.
Meet our leadership - Current engagement · under NDA
A long-term software engagement with a US-based technology company.
Client identity and project details are undisclosed due to confidentiality obligations. We treat your work the same way.
See our approach
Ways to Work Together
- Advisory & Discovery
Short-term Strategy Engagements
For a focused, short-term engagement - an assessment, an architecture review, or technical due diligence - before any build begins.
- Comprehensive architecture reviews
- Due Diligence of your tech stack
- Roadmap and Estimation
- Fixed Price
Fixed Cost Model
For clearly-scoped integration or build work, where the outcome and boundaries are already well defined.
- Change Management process
- Milestone-based delivery
- Quality & SLA Commitments
- Dedicated Team
Dedicated Product Engineering Team
For long-term product or systems work - a sustained AppPotter engineering team working against your roadmap, not rotated project to project.
- Seamless onboarding and roadmap planning
- Fixed Monthly Retainer
- PO/Tech-lead Collaborations
Whichever structure fits, Parth and Umesh are personally involved, from scoping the engagement to standing behind its outcome.
Meet our leadershipPart of Our Engineering Expertise
One of the engineering capabilities behind AppPotter's GTM & Business Engineering work.
Cloud Migration FAQs
Still unsure? A 30-minute conversation usually answers the rest.
Book a callWe work with both. Azure is a natural fit if you already use Microsoft 365 or .NET. AWS makes sense when your systems or contracts are already there.
Each stage is planned to keep downtime short and scheduled for a quiet period you agree. If a move needs a brief outage, we plan it with you in advance.
Every cutover has a rollback plan tested beforehand. If the agreed checks fail, we switch back to the original system.
Sometimes. Moving an application as it is gets you to the cloud faster. Modernizing on the way can cut running costs. We recommend per application.
Yes. We move SQL Server databases to a managed cloud database on Azure or AWS, with compatibility checks before the move and data checks after it.
An assessment comes first, usually at a fixed price. The migration is then quoted per stage, so you can approve one stage at a time.
Tell Us What Needs to Move
We'll look at what you run today and tell you honestly how to stage the move.
Book a GTM Systems Assessment30-minute call · No obligation · No sales pitch