Cloud Migration Services that end with the old estate switched off, not still running.
Cloud migration moves the applications, data and integrations a business already runs off on-premise servers or an ageing cloud account onto a current cloud platform such as AWS, Azure or Google Cloud.
- 120+Projects delivered across 12 countries since 2012
- 100+Senior in-house engineers, six countries
- 5.0Unified rating across 61 client reviews on Clutch
- AWS CertifiedSolutions Architects on the team
- ISO 27001Certified security practice, audited by Quay Audit UK
01Overview
What cloud migration services cover
unicrew moves systems that already run somewhere else onto AWS, Azure or Google Cloud. Six things can happen to a workload in a move, the 6 Rs: rehost, replatform, repurchase, refactor, retire and retain. Which applies is a per-workload call, and it is made in a fixed-scope migration readiness assessment that is quoted and delivered on its own. The engagement is not finished until the source estate is switched off.
- What you are moving offOn-premise Microsoft estates, physical servers in a data center somebody is closing, and cloud accounts that have aged into their own problem.
- A wave, not the whole estateA wave is one slice of the estate that can move on its own. Deciding which workload belongs in which wave is most of what the planning buys you.
- The team that moves it can run itWhoever runs the new environment inherits decisions taken during the move. Keep the same people and nobody has to reconstruct the reasoning.
- If the decision is not made yetCloud consulting is where the deliverable is a roadmap and nothing moves, and cloud infrastructure is where the environment is being built rather than relocated.
02Proof
Migrations that held up
A migration proves nothing on cutover night. It proves itself months later, when the system holds under real load and the old estate is finally off the books.
- Crik-IT's CRM came off on-premise onto AzureManufacturers and their distributors run warranty claims, order processing and sales reporting through it. The work opened by reading the on-premise setup for dependencies and critical services, with integrity checks and backup protocols guarding the data through the move.Eliminatedthe downtime of the old on-premise setup once Crik-IT's platform moved onto Azure, with latency down alongside it
- A move run against a clockA UK hotel booking platform had to move on a tight timeline, so the migration could not wait for a quiet quarter. It landed on a containerized stack with Terraform defining the infrastructure, and came out with faster transaction processing and lower latency.Near-zerodowntime on the booking platform we moved, which also took a substantial amount off its infrastructure costs
- Global On Media moved the servers and rewrote the code at onceAn Israeli internet company set out to renew its code and its infrastructure together, because new code deployed onto an old environment inherits whatever that environment imposes on it. Both halves crossed in one engagement, onto .NET Core, React and Stencil.js. Efrat Kalmar, COO, in her verified Clutch review: "Site was migrated and re-written, the new system is much more stable, and performance highly improved."More stableand performance highly improved, once the servers and the code moved together rather than one at a time
03Compare
Who actually runs the move?
Three ways a move actually gets run. Ours opens with an assessment that prices the move against the servers you run today, so the decision to go is made on numbers. Two shapes sit outside the table. The hyperscaler's own professional services make the platform somebody's accountability and your application nobody's; your incumbent development vendor can run the move as a side task while the estate is small.
| An engineering firm runs itunicrew | Your team, on the provider's toolingIn-house | A hosting or managed-services vendorVendor |
|---|---|---|
| Best forAn estate whose dependencies have accumulated for years, where the application matters as much as the servers and nobody in-house has weeks to sequence a move. | Best forA contained workload in one account that runs unchanged on cloud VMs, where an engineer has real time to own the cutover. | Best forA standard workload the provider's own tooling already handles, where a single supplier answerable for uptime is what you want. |
| What it asks of youA step before the start date: the move is scoped against an assessment, and from there our engineers carry the technical work through to switch-off. | What it asks of youThe decisions the tooling cannot make, such as which workloads move as a group, and engineer time that competes with whatever your team was already shipping. | What it asks of youAccepting that they answer for the platform, not the application, so anything that has to change shape on the way across sits outside what you bought. |
| You end up owningThe target defined in code, the sequence and the reasoning written down, and a source estate that is off rather than idling. | You end up owningThe workloads that made it across, and the ones that did not as an open item nobody has costed. | You end up owningTheir platform and their cost model, with the application still shaped the way it was on the old hardware. |
Quick self-check
Four pressures that put a date on a move. Tick the ones you are under, and the read-out changes as you do.
0 of 4 true
Start with consulting or a build
With none of these pressures, the right first step is a different service. If the problem is the bill on an environment you run today, that is cloud consulting; if it needs building rather than relocating, cloud infrastructure development.
Talk it throughOne signal, and a short call settles it
A lease can be renewed once, and a single integration can be re-pointed where it stands rather than moved. Worth thirty minutes to find out which of the two you have.
Talk it throughBook the assessment, not the cutover
Two constraints at once is the shape where a written plan is worth more than an opinion, and the assessment is fixed-scope and quoted on its own.
Book a discovery callA migration is the right shape
Three of these together, and the open question is order rather than intent: what travels with what, and what goes last because it is the one that cannot break.
Book a discovery callMigrate it, and plan the exit with it
All four. This is the profile where the source environment belongs in the plan rather than in an afterthought: what gets archived, what gets wiped, and who is paying for both estates while they overlap.
Talk about the moveWe finish a cloud migration by switching the old estate off. Decommissioning is a stage in our plan, with a date on it. That plan also budgets for the months when both estates run.
Oleksandr TrofimovChief Technology Officer, unicrew04Capabilities
Cloud migration services and solutions we deliver
Eight kinds of work a move is made of. Which apply is a per-workload call the assessment makes, and a workload best left where it is gets retained on purpose, with the reason written down.
- Cloud migration readiness assessment
Migration assessment and target architecture
Fixed scopeThe first stage of the move, bought on its own. It ends in a target architecture and a per-workload call across the 6 Rs, so what you get is a decision you can fund.
- Lift and shift migration services
Infrastructure rehosting (lift and shift)
Target as codeMove applications and servers onto cloud infrastructure with minimal code change, the fastest way out of a physical data center. The target is provisioned from source rather than clicked together by hand.
- Database migration services
Database migration and schema conversion
Integrity checksMove critical data onto cloud-native equivalents such as Amazon RDS or Azure SQL, including schema mapping where the engine itself changes. On one on-premise CRM migration the data and the applications that read it moved together, rather than in two passes a reconciliation has to bridge.
- Cloud application re-architecture
Application refactoring and re-architecture
Auto-scalingRe-code the parts that block auto-scaling, high availability, or efficient resource use. On one media platform the servers and the code crossed together, onto .NET Core, React and Stencil.js, rather than the code being patched to survive the move.
- Cloud to cloud migration services
Cloud-to-cloud migration
AWS, Azure or Google CloudMove workloads between providers to escape lock-in or consolidate accounts after an acquisition. The real work is the architectural differences: identity, managed-service equivalents, and the storage and queueing semantics that quietly do not match. Where the destination is Microsoft's cloud, the service-by-service mapping is set out under Azure migration.
- Hybrid cloud migration
Hybrid cloud, and the workloads that stay
Some of it does not moveNot everything goes. A licence that will not follow, hardware that has years of depreciation left, a regulator or a customer contract that fixes where data sits: each is a workload that stays, and saying so early is cheaper than discovering it in a wave. What has to be designed is the seam, so the half that moved and the half that did not keep one identity model and one monitoring picture between them.
- Cloud cost optimization
Post-migration cost optimization
Right-sizingThe bill after a lift and shift is rarely the bill you were sold, because a relocated system keeps whatever its old design cost to run. Right-sizing the estate that just landed is a closing task on the move. FinOps as a standing practice, and a full read of the invoice underneath it, is the cloud cost and AI-readiness audit.
- Legacy system decommissioning
Legacy system decommissioning
Contract exitThis is retire, the R that gets promised and then quietly dropped once the new thing works. Sunsetting the old estate means secure data wiping, archiving of historical records, and a clean exit from the maintenance and licence contracts under it. It is a stage in the plan with a date on it.
05Trust
What a migration engagement hands over
A migration ends when the source environment is switched off, and these three are what is still in your hands the day after. The pipelines, monitoring and alerting that ship changes to the new environment are handed over with them; running the delivery practice around them is DevOps consulting.
- In writingWhat runs, and what depends on itThe document the estate never had, and the first thing asked for once the people who ran it have gone
- As codeThe target environment, in your repositoryInfrastructure as Code (IaC) in Terraform, so the target that received your estate can be rebuilt from your own repository rather than from whoever set it up
- ClosedThe source estate, archived and switched offWith the maintenance and licence contracts under it ended, which is the saving nobody puts in the business case
06Stack
What we migrate to, and what we run it with
The target platform is the smallest decision in a move, because AWS and Azure will both host almost anything you already run; Google Cloud earns its place where the workload is shaped by data or machine learning rather than by servers. What sets the effort sits underneath the application: the database engine, the queueing, the identity model, and whether the environment can be defined in code or only assembled by hand once.
- Microsoft Orleans
AWS
Azure
Google Cloud
Docker
Kubernetes
Terraform
Heroku
07Engagement
How a migration engagement is shaped, and how you pay
The assessment is a complete deliverable on its own: there is no minimum engagement period. What the three shapes below settle is who runs the waves, and who is still there the morning after the last one lands.
Assessment first, then a scoped migration
Fixed scopeWe quote the migration against what the assessment found. It is a deliverable in its own right, so you see the effort, the target architecture and the cost outlook before anything moves.
- Best when
- You need the effort and the risk in writing before you commit
- You pay
- Outcome based, quoted per project
- Typical start
- Two to four weeks
The engineers who move the system stay to operate it, so the reasoning behind the design stays with the team that runs it after cutover. One on-premise CRM migration ran this way: the move first, then ongoing DevOps consulting on the platform by the same team.
- Best when
- The roadmap continues after cutover and one team should answer for it
- You pay
- Billed monthly, per team member
- Typical start
- Two to four weeks
A migration inside a modernization
Rebuild includedWhen the real problem is the architecture rather than the hosting, the move rides inside a modernization programme: module by module, each one rebuilt before it crosses.
- Best when
- The system still works but the design has capped what you can do next
- You pay
- Billed hourly, quoted per project
- Typical start
- Two to four weeks
A stalled move gets its register rebuilt before anything else is agreed
A migration stalled part-way is its own category: some workloads live on the target, some still on the source, and the dependencies running between the two rarely written down anywhere. A takeover begins by rebuilding that register, scoped to what has already crossed; handing us the remaining waves is a separate decision you take afterwards.
08Industries
Industries we migrate for
A bad cutover is a business incident in these sectors rather than an inconvenience: hotels losing direct bookings, distributors losing order flow, clinicians losing access to patient records. What a sector cannot afford to lose is what decides which workloads go last.
Logistics and transportation
The window here is hours rather than a weekend. A truck that is loaded, an order already picked and a shipment in transit do not pause while a database catches up, which is what decides the order of the waves on an orders platform for a US moving company as much as in automotive finished-vehicle logistics.
Hospitality and leisure
Bookings arrive around the clock, so there is no quiet quarter to move in and the date usually belongs to somebody else. One UK hotel booking platform moved against a tight timeline onto a containerized stack with Terraform defining it; an entertainment booking platform went to AWS only once its plan had been costed and approved.
Healthcare
Regulated patient data settles two things before a wave can be scheduled: where each workload is allowed to land, and what may become of the copy left behind. Retention rules decide whether historical records are archived or wiped, and who signs that off. Neither is a clean-up task for after go-live.
E-commerce and retail
A catalogue has to keep selling across every market it trades in while the systems reading from it move underneath, which is why the ERP and the marketplace feeds go in the same wave as the storefront. On one European manufacturer's replatforming the target the client's own IT department set was a centralized product information platform on AWS.
Fintech and trading
A cutover that loses a day of transactions is not one you can quietly run again, so how the two sides reconcile is designed before the window is booked rather than after. That holds for payment rails, for commodity trading (CTRM/ETRM) systems, and for the bookkeeping we automated for an advisory firm.
EdTech and research
Term dates hand you the one thing no other sector on this list has: a stretch of the year when almost nobody is using the system. Inside it sit engagements like one hybrid events platform, whose submitted media files were relocated onto AWS S3, and an edtech platform whose search we engineered.
Tell us what is forcing the move, and get a clear read on whether and how to make it
Thirty minutes about what you run, what is pushing you off it, and what would have to be true before anything crosses. The assessment then puts the answer, and the order of the waves, in writing.
What happens after you contact us
- We reply within one business dayA written answer about your estate, or the one question that has to be settled first.
- A call about what runs todayWhere the system lives now, which integrations cannot break, and what is forcing the move.
- A fixed-scope assessment, written downA dependency map, target architecture options, and a per-workload recommendation with the cost outlook.
- Contracts and NDAs, then a start dateSigned before anyone touches the estate you are moving. Most engagements start within two to four weeks.
09Delivery
How a cloud migration works, stage by stage
Five stages: assess, sequence, build the target, cut over wave by wave, then optimize and decommission. Three of them finish before a single workload moves, which is where the risk control on a migration actually sits.
- AssessmentWe map what you actually run: applications, data stores, integrations, licences, and the dependencies nobody wrote down. From you we need read-only, least-privilege access, agreed with your technical contact before anything starts, and one person who can decide.You getA dependency map, target architecture options on AWS, Azure or Google Cloud, and a recommendation per workload against the 6 Rs.
- Sequence the estate into wavesWe decide what has to travel together, what can move on its own, and what goes last. From you we need the people who run the systems, and the constraints that are not negotiable: month-end, a trading window, a regulator's deadline.You getA sequenced plan, wave by wave, with the cost outlook for the target environment.
- Landing zone and pipelinesWe build the target as code, with networking, identity, backup and monitoring in place before any workload arrives. From you we need the cloud accounts in your own name, or the decision to open them.You getA target environment defined in Terraform, with CI/CD, monitoring and backup already running.
- Cutover, wave by waveThis is a phased cutover: each wave moves inside a window you set, with integrity checks on both sides of it. From you we need that window and someone who will verify on your own side that the data reconciles. If a wave does not reconcile it does not complete: the source keeps serving that workload, the window closes, and the wave is rescheduled once the cause is understood. That is the reason both estates stay running, and on the bill, until the last one lands.You getEach wave live on the target, with its data reconciled against the source.
- Optimization and decommissioningAfter go-live we right-size instances, set scaling policies and take a cost baseline, then archive the source estate, switch it off and close the contracts under it. From you we need the retention rules: what has to be kept, for how long, and who says so.You getRight-sized, auto-scaling infrastructure with a monitored cost baseline, and the source estate archived and shut down.
10Client voices
Our clients say
Site was migrated and re-written, the new system is much more stable, and performance highly improved. Excellent technological level. highly responsive and communicative. They are highly committed to the project and business goals.
Up until a year and a half ago, I handled all the development and support of our application myself and I needed help. I brought in Artelogic, and it was one of the best business decisions I’ve ever made.
However, from a technical perspective, actor-based frameworks and event sourcing aren’t widely adopted areas of expertise yet. Still, Artelogic has been able to learn them very quickly and effectively. Moreover, they’ve been able to stabilize our whole application and rapidly iterate on the existing code base to get it to a much better state than it was 12 months ago.
Artelogic helped us get the solution live, and our customer was happy. Communication was open, and Artelogic responded quickly. The most important thing was Artelogic’s good communication.
We’re one of unicrew’s smaller clients, but they’re always incredibly quick to respond. When we have issues, they treat them as if they’re extremely important. We feel like we have a partner, and that’s been incredible. That’s why we’ll keep them on for as long as we can.
11Case studies
Our case studies
Three of the quotations above say Artelogic. That was this company's name until the rebrand, and the clients wrote it because that is who they hired. Below, the booking platform whose move to AWS ran only after its plan had been costed, and the orders platform a US moving company runs on.
See all case studies
HospitalityHighly Adjustable Platform for entertainment industriesunicrew developed a platform for Booked It that enhanced the customer experience for nightclub, entertainment center, and festival goers.600+Businesses using the platform
LogisticsMiniMoves Orders Management PlatformA custom-built moving order system that simplifies booking, boosts automation, and improves operational efficiency.Double digit growthMaintained without a substantial increase in staffing
12Questions
Cloud migration: frequently asked questions
Cost and duration lead, and neither has a headline number under it: a contained workload rehosted unchanged and an estate re-architected across a year are not the same purchase. The rest are what a move actually gets signed off on. What breaks. What it costs to run two estates at once. What becomes of the one you are leaving.
Cloud migration is the move itself: applications, data and the integrations between them lifted off on-premise servers or an ageing cloud account and landed on a current platform such as AWS, Azure or Google Cloud. unicrew's cloud migration services cover the whole path: a fixed-scope migration readiness assessment, a target architecture, the estate sequenced into waves, the cutover, the pipelines and monitoring needed to run the result, and the cost work afterwards. Archiving and switching off the source estate is part of the service, not something left on your list.
We scope before we quote, because the answer depends on how many workloads move, how many can be rehosted unchanged, how much data has to be converted, and how many integrations have to keep working. The fixed-scope assessment exists to answer exactly that, and it is quoted on its own. Execution is then quoted against what the assessment found: outcome based per project, billed hourly and quoted per project, or billed monthly per team member if a team of ours runs it. Every estate gets its own quote, because a headline price would be wrong for most of them.
It follows the strategy rather than the calendar. In our delivery experience a contained workload rehosted unchanged lands in weeks, while re-architecting a monolith into cloud-native services runs across months. The assessment is where the schedule stops being a guess: once the estate is sequenced into waves, each wave carries its own window, and you are the one who says when that window can be. Automation moves the volume, not the date. We provision the target from Terraform rather than assembling it by hand, so a second environment is a command rather than a project, and none of that settles what travels with what, which integration cannot be re-pointed, or who signs off that the numbers reconcile. Those three are what a schedule is actually made of.
That is usually the larger half of the work. A migration is rarely one application: it is an application plus the ERP, CRM, payment providers, partner APIs, identity provider and reporting tools hanging off it. All of them are mapped during the assessment, because that is where schedule risk lives rather than in the servers, and on one on-premise CRM migration the dependencies and critical services were mapped before anything moved and the sequence built around them. Where an integration cannot be re-pointed, it decides which wave its workload travels in.
Most of them are on-premise Microsoft estates, on hardware in a room or on an old hosting arrangement somebody wants out of. The second shape is a cloud account that has aged, where the platform is fine and the services underneath it are years out of date. Four engagements rather than categories. An on-premise Microsoft estate on C#, SQL Server and ASP.NET, moved onto Azure. A desktop application that had to become a multi-tenant cloud SaaS product, with a thin client connecting it to each shop's own CRM. A WebForms platform whose hosting moved to the client's own AWS account while its main functionality was rewritten module by module. And a content platform for scientific congresses whose submitted media files were relocated onto AWS S3, which improved the reliability of those digital assets and made them easier to manage. If yours is a different shape, bring it to the call and we will map it against what we have moved.
That is set in the plan, wave by wave, and you set each window. A phased cutover groups workloads into slices that move independently, so the question is never how long the whole estate is down, only how long this slice is. The source keeps serving whatever has not crossed yet, which is why both estates are on the bill until the last wave lands. Integrity checks run on both sides of each move, and we ask you to verify on your own side too: the people who know what the numbers should say are the ones who catch a problem. On one on-premise CRM migration to Azure the move completed without significant issues and eliminated the downtime of the old setup. On a hotel booking platform whose move ran against a clock, the result was near-zero downtime.
Six things can happen to a workload in a move, and the industry calls them the 6 Rs. Rehost (lift and shift) moves it onto cloud VMs such as Amazon EC2 or Azure VMs with little or no code change: the lowest effort, and it fits when you need out of a data center fast. Replatform keeps the application and adopts managed services such as Amazon RDS or Azure SQL: medium effort, less operations overhead, no rewrite. Refactor, or re-architect, redesigns into cloud-native services such as containers, Kubernetes or serverless: the highest effort, and worth it when the design itself caps scale. Repurchase replaces the workload with a product you buy, which is usually right for something you do not differentiate on. Retire switches off what nobody uses any more, and finding those is part of what the assessment is for. Retain leaves a workload exactly where it is, on purpose, with the reason written down. An estate rarely has one shape, so the call is made per workload.
A current-state review of your applications, data and dependencies; target architecture options on AWS, Azure or Google Cloud with the trade-off called out per workload; a per-workload call across the 6 Rs; the estate sequenced into waves, so what moves first and what goes last is decided rather than assumed; and a total cost of ownership (TCO) view for running the target. It is written to stand on its own, as the business case for the decision and its timing. This is the part of the work usually sold as cloud migration consulting, and here it is a deliverable with a fixed scope and a price of its own.
It pays off when demand is volatile or growing, when a hardware refresh is due, when releases are slow because environments are hand-built, or when resilience matters more than your own servers can deliver. Where load is flat and predictable, the hardware is already paid for and nothing on the roadmap needs elasticity, the cloud usually costs more rather than less. The assessment puts your estate against both lists and gives you the answer in writing.
Yes, provided the environment is configured correctly, which sits with you and your partner rather than with the provider. Under the shared responsibility model the providers cover physical security, platform patching and the encryption primitives; identity, network configuration, key management and access policy are yours and ours, and the assessment writes down which is which. A move also decides where the data sits, which is a GDPR question before it is an architecture one: the region each workload lands in, what is allowed to leave it, and who can reach it from where are settled while the plan is being written rather than on cutover night. unicrew holds ISO 27001:2022 and ISO 9001:2015, renewed through a multi-stage audit with Quay Audit UK, and ISTQB-certified QA sits inside every sprint. Our security practice is one dedicated security engineer plus a part-time senior security consultant, so a security review is scoped into the plan rather than assumed free.
Contracts and NDAs first, signed before anyone gets access to anything. For the assessment we work from read-only, least-privilege access, agreed with your technical contact before anything starts, with no write access to production systems during discovery. For the build and the cutover, the cloud accounts are opened in your own name, and we work inside your own cloud environment where your customers, insurers or shippers require it. All of it is in writing before anyone starts.
Yes, and usually for longer than the business case assumed. A phased cutover means the source estate keeps serving whatever has not moved yet, so for the length of the move you are paying for both. That is not waste, it is the price of not betting the company on one weekend, and it belongs in the plan before the first wave rather than being discovered in month three. A data warehouse is the clearest case: reporting has to keep answering off the old one while the new one is loaded, and the two are compared before anything is pointed at the new one. It ends when the last wave lands and the source is archived and switched off. What the target costs to run after that is what the cloud cost and AI-readiness audit reads.
The wave is the unit of progress, so there is always a countable answer: which workloads have crossed, which are scheduled next, and what the assessment said would be hardest. A wave is not counted as done because it moved. It is done when the integrity checks reconcile on both sides and your own people have verified it, which is why the next window is only scheduled after the previous one closes. Between windows the honest measure is not activity, it is how much of the source estate is still serving traffic, because that is also what you are still paying for. The plan set at the assessment is the list you are counting against, and it is a deliverable of that engagement rather than something you wait for.
It can, and the ways are boringly consistent: a hostname or IP written into a config file years ago, a scheduled job nobody knew was running, a file path that used to be local and is now a network call, a timezone or a locale inherited from the old server, and latency between two components that used to sit in the same rack. None of that shows up in a server-level copy, which is why the assessment reads the application and not only the infrastructure. Each wave then carries integrity checks on both sides, and we ask your own people to verify, because they are the ones who know what the numbers should say. Where a workload has to change shape to survive the move, that is a refactor and it gets scoped as one, rather than being discovered on cutover night.
Compare on what is checkable from outside a proposal. First, the client review behind the rating: an interview tells you what the engagement was like, and every client quoted above opens their own. Second, what happens to the source estate after the last wave lands, and who pays for the overlap while both are running: ours ends with the source archived, switched off, and the maintenance and licence contracts under it closed. Third, which certifications a firm holds and who audited them: ours are ISO 27001:2022 and ISO 9001:2015, renewed through a multi-stage audit with Quay Audit UK. We answer all three before you sign.
When the estate is more than one standard site or one packaged application: a decade of dependencies in it, integrations you do not control that have to keep working on the other side, an application that matters as much as the servers, and a source environment somebody has to be accountable for switching off. When you want the plan and the cutover date built from an assessment of the estate, so the schedule follows what the estate actually needs. And when you want engineering hours that overlap fully with European working days and partly with US ones: unicrew is a nearshore engineering partner whose project managers and engineers work from Ukraine, Poland, Estonia and the UK, four of the six countries its 100+ senior in-house engineers span. Estates like the first one are the work we are built for.