Cloud Application Migration (Single or Multiple Apps)
Rehost, replatform or refactor, chosen per application rather than as a programme-wide rule. We move one workload first, prove the path, then repeat it.












10+ years of moving production systems between data centres and clouds, which is long enough to have met most of the ways a migration goes wrong.
A rehearsed rollback before every cutover. If the new path misbehaves, you are back on the old one in minutes rather than deciding what to do under load.
SOC 2, HIPAA and GDPR treated as build constraints rather than paperwork, with residency, retention and access settled in the architecture.
Run cost per service, estimated before the move and measured after it, so the bill is a number you agreed rather than one you discover.
One workload at a time, in an order we agree with you, so the business keeps running while the estate moves underneath it.
Your team on the handover from day one — the runbooks, the dashboards and the on-call path are theirs before we step back.
Four things have to go right for a migration to be worth doing: the applications land intact, the data lands complete, the controls come with them, and somebody owns what it costs to run afterwards.
Rehost, replatform or refactor, chosen per application rather than as a programme-wide rule. We move one workload first, prove the path, then repeat it.
Schema, history and the jobs that fill it, moved with reconciliation at every step so the numbers on the new warehouse match the old one before anyone reports off it.
Identity, network boundaries, encryption and logging designed into the target rather than retrofitted, with the evidence your auditor asks for produced as you go.
Right-sizing, reserved capacity and the unglamorous cleanup after the move, plus the on-call rota that keeps the new estate answerable at 2am.
We work where your business already is. The choice is usually settled by what you run, what your team knows and what your contracts say — not by which logo we prefer.
Landing zones, account structure and the networking underneath them, then workloads moved onto the services that actually fit rather than the ones that demo well.
Usually the shortest path when the estate is already Microsoft: identity through Entra, the hybrid links that keep on-premises reachable, and governance set before the first subscription fills up.
Strong where the work is data and analytics. BigQuery, the pipelines that feed it, and a project layout that will still make sense after the second team arrives.
What you get from doing this with a team that has done it before, rather than learning the failure modes on your own estate.
Cutovers run inside a window you pick, with the old path live until the new one has served real traffic. Most workloads move without a maintenance notice.
The estate keeps running while it moves. Dependencies are mapped before anything is touched, so nothing goes dark because something upstream left first.
Instances sized to what the workload does rather than what it was provisioned for years ago, with the saving measured rather than promised.
Least privilege, encrypted in transit and at rest, and an audit trail that answers a question by replaying a run instead of reconstructing one.
Environments that take minutes instead of a ticket queue, so the thing the migration was for — shipping faster afterwards — actually happens.
Capacity that follows demand in both directions, and an architecture that does not have to be unpicked the first time the business changes shape.
The order matters more than the speed. Each step exists because skipping it is how migrations end up rolled back.
What runs, what it depends on, what it costs now and what has to stay reachable throughout. The output is a move order, not a diagram.
How the data gets there, how it is reconciled, and what happens to writes while it is in flight.
The changes an application needs to be at home on the target rather than merely running on it — configuration, secrets, state and the assumptions about the machine underneath.
A full rehearsal on a real workload, timed, so the cutover window is a measurement rather than an estimate.
One group at a time, in dependency order, with the rollback live until each group has proven itself.
Functional, load and failover, run against the new path before traffic is pointed at it and again after.
Right-sizing and caching once there is real traffic to tune against, which is the only time the numbers mean anything.
Monitoring, patching and the on-call path, handed to your team with the runbooks that make them usable.
I worked with AppVertices on a mobile app project and was impressed by their professionalism and organized process from start to finish.
Nadim Husam
Head of Digital Initiatives, Leading Transportation Ministry
AppVertices delivered a solid app for our real estate business. Their technical skills and constant support, especially from Max, made the process worthwhile.
Amanda Clark
CEO/Founder, Htown App
AppVertices built a custom internal system that simplified our workflows across departments. The intuitive interface and performance made a real difference.
David Therrien
Head of Marketing, Manufacturing Company
As a CTO, I found their work exceptional. They delivered a secure, scalable dashboard with great usability and excellent post-launch support.
James Dailey
CTO, Technology Company
AppVertices developed our AR science app, and it exceeded expectations. Their team felt like a true partner from day one, and the results speak for themselves.
Maria Smith
Co-Founder, Scilens
We approached AppVertices to revamp the UI/UX of our online learning platform. Their design team transformed our user interface into an intuitive and engaging experience.
Allen Mitchell
CEO, Education Training Center
Tell us what you run and where it has to end up. We will come back with the move order, the window each workload needs and what it costs to run once it is there.
An assessment is two to three weeks. A first workload in production is typically six to ten. A whole estate is measured in quarters, and the approvals rather than the engineering usually set that floor.
Tell us what you are building, who it is for and when it needs to be live. You will get a written scope, a realistic range, and a named engineer on the call rather than a sales deck.

[Cloud Migration Services]
Move what you run today onto cloud infrastructure without losing a week to a cutover nobody rehearsed. We assess the estate, migrate one workload at a time, and keep the rollback live until the new path has proven itself in production.
Four things have to go right for a migration to be worth doing: the applications land intact, the data lands complete, the controls come with them, and somebody owns what it costs to run afterwards.
Rehost, replatform or refactor, chosen per application rather than as a programme-wide rule. We move one workload first, prove the path, then repeat it.
Schema, history and the jobs that fill it, moved with reconciliation at every step so the numbers on the new warehouse match the old one before anyone reports off it.
Identity, network boundaries, encryption and logging designed into the target rather than retrofitted, with the evidence your auditor asks for produced as you go.
Right-sizing, reserved capacity and the unglamorous cleanup after the move, plus the on-call rota that keeps the new estate answerable at 2am.
We work where your business already is. The choice is usually settled by what you run, what your team knows and what your contracts say — not by which logo we prefer.
Landing zones, account structure and the networking underneath them, then workloads moved onto the services that actually fit rather than the ones that demo well.
Usually the shortest path when the estate is already Microsoft: identity through Entra, the hybrid links that keep on-premises reachable, and governance set before the first subscription fills up.
Strong where the work is data and analytics. BigQuery, the pipelines that feed it, and a project layout that will still make sense after the second team arrives.
What you get from doing this with a team that has done it before, rather than learning the failure modes on your own estate.
Cutovers run inside a window you pick, with the old path live until the new one has served real traffic. Most workloads move without a maintenance notice.
The estate keeps running while it moves. Dependencies are mapped before anything is touched, so nothing goes dark because something upstream left first.
Instances sized to what the workload does rather than what it was provisioned for years ago, with the saving measured rather than promised.
Least privilege, encrypted in transit and at rest, and an audit trail that answers a question by replaying a run instead of reconstructing one.
Environments that take minutes instead of a ticket queue, so the thing the migration was for — shipping faster afterwards — actually happens.
Capacity that follows demand in both directions, and an architecture that does not have to be unpicked the first time the business changes shape.
The order matters more than the speed. Each step exists because skipping it is how migrations end up rolled back.
What runs, what it depends on, what it costs now and what has to stay reachable throughout. The output is a move order, not a diagram.
How the data gets there, how it is reconciled, and what happens to writes while it is in flight.
The changes an application needs to be at home on the target rather than merely running on it — configuration, secrets, state and the assumptions about the machine underneath.
A full rehearsal on a real workload, timed, so the cutover window is a measurement rather than an estimate.
One group at a time, in dependency order, with the rollback live until each group has proven itself.
Functional, load and failover, run against the new path before traffic is pointed at it and again after.
Right-sizing and caching once there is real traffic to tune against, which is the only time the numbers mean anything.
Monitoring, patching and the on-call path, handed to your team with the runbooks that make them usable.
Tell us what you run and where it has to end up. We will come back with the move order, the window each workload needs and what it costs to run once it is there.
Get Cloud ConsultationAn assessment is two to three weeks. A first workload in production is typically six to ten. A whole estate is measured in quarters, and the approvals rather than the engineering usually set that floor.
Yes, and for a migration it is the part that decides whether the move holds. Monitoring, patching, cost review and an on-call path, handed to your team with the runbooks rather than kept as a dependency on us.
Healthcare, fintech, logistics, retail and education most often. The regulated ones change the sequence rather than the method: residency and audit evidence are settled before the first workload moves.
A fixed price for the assessment, then per migration wave once the estate is known. You also get the run cost of the target before you commit, because that is the number that outlives the project.
Multi-region estates, hybrid links that have to stay up, and data that cannot leave a jurisdiction are the normal case rather than the exception. If something genuinely should not move, we will say so.