Cloud Migration Services That Move Workloads Without Unplanned Downtime

Aipxperts inventories what you run, decides what moves and what gets rebuilt, rehearses every data cutover into staging first, and hands back an environment your own team can operate. Our cloud migration services are answerable for the bill three months later, not only the switchover.

Book a Migration Assessment

See how cutover night runs

Clutch 5.0GoodFirms 5.0Google 4.3Upwork 4.8

The Cloud Migration Services We Stay Accountable For After Handover

We move workloads onto AWS, Azure and Google Cloud, and stay answerable for the two things that decide whether a migration was worth doing: whether anything broke on the way across, and what the invoice reads three months later.

Most migration programmes fail in one of two places. Either the wave order came from an architecture diagram nobody had updated, and the dependencies surfaced mid-cutover. Or the target was sized from the old server specification, and the first full month’s cloud bill arrived larger than the data centre it replaced.

Both are avoidable, and our engineers avoid them before anything moves. Dependencies get mapped from live traffic rather than from a wiki, and running cost gets modelled from real utilisation, wave by wave.

What you keep at the end is a governed landing zone, a tested recovery design, runbooks, dashboards and a named escalation path. Your team operates it. We stay on only if you want us to.

Some are on shared hosting and have discovered they inherit everybody else’s security posture along with the price. Some have hardware approaching end of life and a renewal quote they do not want to sign. Some already moved, and the bill is now the problem. Aipxperts handles all three, and the first thing produced is a dependency map rather than a proposal.

The strategy work that precedes a move · Running the environment afterwards · When the honest answer is rebuild

The Firm That Would Move It

A migration is judged years later, by whoever inherits the environment. This is the scale Aipxperts brings to its cloud migration services.

100+

Software Engineers

500+

Solutions Delivered

30+

Industries Served

95%

Client Retention

120+

Clients Worldwide

3

Unicorn Products

Cloud Migration Services You Can Sequence or Take Alone

These cloud migration services cover the whole path: deciding where each workload belongs, moving the applications and the data behind them, standing up the environment they arrive into, and protecting it once you depend on it. Take one alone or sequence several.

Cloud Migration Consulting and Strategy

Workload disposition is the decision this line exists to make: what moves, what gets rebuilt, and what retires before you pay to host it again. Our architects produce the call and you keep the reasoning, alongside an estate inventory with dependencies mapped from live traffic, a running-cost model built from your actual utilisation, and a dependency-sequenced wave plan your engineers can start against.

Cloud Application Migration

Our engineers move applications onto AWS, Azure or Google Cloud in dependency-ordered waves, re-pointing integrations and rebuilding identity as each one crosses. Wave sequencing keeps users working through the transition, performance is retested against your real peak rather than a synthetic load, and the release pipeline is configured so the application ships faster afterwards.

Cloud Data Migration

Our data engineers profile, cleanse and replicate your databases into managed cloud equivalents, and nothing cuts over until record counts and financial totals agree. Sources are profiled before any replication runs, counts and totals are reconciled at every rehearsal, rollback criteria are written and agreed before a window is booked, and the managed-service target is chosen for what your own DBAs can operate.

Cloud Data Warehouse Migration

Analytics workloads land on BigQuery, Azure Synapse or Redshift-class platforms, with our data engineers rebuilding pipelines, partitioning and access rules for the target rather than lifting them onto it. Pipelines run on the target’s native services, partitioning is designed around your query patterns, row-level security is re-implemented and tested, and query cost is modelled per dashboard before go-live.

Cloud Implementation and Landing Zone

The landing zone is what your workloads arrive into, and we build it first: network topology, identity, tagging, guardrails, logging and infrastructure as code. The network and identity model is defined before any workload moves, guardrail policy is enforced from the first deployment, and centralised logging runs from day one so the tenth deployment matches the first.

Disaster Recovery Design and Testing

We build the recovery design and then actually exercise it: replication, defined recovery objectives, and failover drills that run on a date in the calendar rather than in a document. You get recovery objectives agreed against business tolerance then engineered to, replication across regions or availability zones, and a runbook your on-call engineer can follow at three in the morning.

Migrations We Ran, and What the Bill Did After

Read the disposition calls rather than the outcomes. Deciding what to leave behind is where a migration is won, and it is the decision each of these records.

See All Work

The Infrastructure Leads Whose Estates We Moved

The product owners and infrastructure leads whose estates we moved describe the work in their own words, on platforms that verify the engagement before the review is published.

Reviewed on GoodFirms
We have contracted a developer from Aipxperts now for several months, based on a referral. We have been very pleased with the quality of the work, the knowledge and skill level of our developer, and the value we're receiving for our fee. We also very much appreciate that the development team works at night (effectively), so we are sometimes able to turn client requests around in a day.There have been a couple of situations where we needed urgent help outside of our developer's normal business hours, and we've received that help (for which I am very grateful). While we have some challenges with communication sometimes, our overall satisfaction level is very high.
Jason LancasterPresident, Spork Marketing
Reviewed on Upwork
Our experience working with Aipxperts has been exceptionally satisfying. From start to finish, they handled the project with professionalism and responsibility. Communication was seamless, and they effectively addressed our requirements, delivering high-quality results on time. Their technical expertise was particularly impressive, as they effortlessly solved complex problems. We highly recommend Aipxperts for their outstanding service and dedication to client satisfaction.
Full-Stack Developer Needed for Angular 15 and NestJS ProjectVerified Upwork client

Where Cloud Migration Fits Your Sector, and What Sets the Cutover Window

Downtime tolerance changes more between sectors than architecture does, and it decides the wave plan long before any technical argument gets settled. Each sector here carries the constraint that sets our windows.

Mobile games

Concurrency at a launch or a live event is the load that matters and it arrives in ninety seconds. We rehearse against your real peak rather than a synthetic one, and we never book a window inside a release calendar. More on mobile games.

Energy and utilities

Meter and sensor history is enormous, egress is expensive, and most of it is never read again. Our architects tier the storage during the move rather than after the first bill, which is where the saving actually is. More on energy and utilities.

Education and EdTech

Traffic is nothing, then everything on enrolment day, then nothing again. Our architects size the target for the term-start spike rather than the average, and the autoscaling policy gets tested against your own historical peak before go-live. More on education and EdTech.

On-demand platforms

Demand peaks are the worst possible cutover window and they move with the day of the week. We sequence the waves against your own demand curve before the programme plan gets a vote from anybody. More on on-demand platforms.

eCommerce

Peak trading imposes a hard change freeze across a quarter of the year. Our team lands the waves inside the windows that remain and tests recovery before the freeze begins rather than during it. More on eCommerce.

Health and fitness

Wearables and phones keep sending whether or not your backend is ready, so the ingestion path cannot pause for a migration. Source and target run in parallel under our engineers, and the telemetry is reconciled before anything is switched off. More on health and fitness.

Manufacturing

Plant-adjacent systems that cannot be paused and cannot be rehearsed in production. We tell you honestly when the answer is stay put, because a migration that only moves the invoice is not worth the quarter it takes. More on manufacturing.

How to Compare Cloud Migration Vendors, Including Us

Most migration pitches sound identical until you ask two questions: what happens on cutover night, and what does the invoice read in month three. Ask both of every vendor on your shortlist. Here is how we answer them.

01The cost model is built before the first workload movesWe size the target from your actual utilisation data and model monthly running cost by wave. You approve a figure up front and we report against it, which is why post-migration bill shock is a conversation we have before the migration rather than after.

02Cutovers are rehearsed, not attemptedEvery data cutover runs at least one full dress rehearsal into staging, with record counts and financial totals reconciled and rollback criteria written before the window opens. Migration night becomes a scripted execution of something already done once.

03We migrate in waves your business can absorbWorkloads move in dependency-ordered waves with a pilot first, source and target running in parallel until each wave is proven. A wave that fails validation gets rolled back without taking the programme with it.

04Specialists per layer, rather than whoever was freeYour landing zone, your database replication and your pipeline rebuild each get engineers who do that specific work full time. Nobody is assigned to your migration because they happened to be between projects.

05Automation scoped only where it earns its costWhere machine assistance genuinely accelerates dependency discovery, data mapping or post-migration anomaly detection, we scope and build it inside the same engagement. Where it would not pay for itself on your estate, we say so and move on.

AWS Migration Services and the Rest of Our Platform Shortlist

Our cloud migration services land onto platform services our engineers already run in production, and we choose within each platform for what your team can operate after handover rather than for what is newest. These are the platform services we build landing zones, data pipelines and recovery designs on.

Amazon Web Services

The compute, storage, networking and archival services we build AWS migration targets and recovery tiers on, sized from your real consumption.

awslambdaAWS LambdaamazonrdsAmazon RDSamazonwebservicesAmazon API GatewayamazonwebservicesAmazon Route 53amazons3Amazon S3amazonwebservicesAmazon S3 GlacieramazonwebservicesAmazon VPCamazondynamodbAmazon DynamoDBamazonwebservicesAmazon CloudFrontamazonwebservicesAWS CloudFormationamazonredshiftAmazon Redshift

Microsoft Azure

Compute, data and integration services for Azure migration work, including the managed equivalents that usually replace self-managed servers on the way across.

microsoftazureAzure Kubernetes ServicemicrosoftazureAzure App ServicemicrosoftazureAzure SQL DatabasemicrosoftazureAzure Cosmos DBmicrosoftazureAzure Data Lake StoragemicrosoftazureAzure FunctionsmicrosoftazureAzure Logic AppsmicrosoftazureAzure Load BalancermicrosoftazureAzure Cache for RedismicrosoftazureAzure CDNmicrosoftazureAzure ExpressRoutemicrosoftazureAzure IoT HubmicrosoftazureAzure Notification HubsmicrosoftazureAzure Synapse

Google Cloud

Application hosting, analytics and data services for Google Cloud migrations, particularly where a warehouse move is what is driving the programme.

googlecloudGoogle Compute EnginegooglecloudGoogle Kubernetes EnginegooglecloudGoogle Cloud RungooglecloudGoogle App EnginegooglebigqueryGoogle BigQuerygooglecloudGoogle BigtablegooglecloudGoogle Cloud DataflowfirebaseFirebasegooglecloudGoogle Cloud FunctionsgooglecloudGoogle Cloud SQLgooglecloudGoogle Cloud StoragegooglecloudGoogle Cloud CDN

Migration and replication tooling

How workloads and data actually move, chosen by source platform and by how much downtime the cutover window allows.

amazonwebservicesAWS Database Migration ServicemicrosoftazureAzure MigrategooglecloudGoogle Migrate for Compute EngineterraformTerraformansibleAnsibledockerDockerkubernetesKubernetes

Assessment and cost modelling

Where the dependency map and the running-cost figure come from, so the wave plan rests on measured utilization and never on a server list.

amazonwebservicesAWS Cost ExplorermicrosoftazureAzure Cost ManagementterraformTerraformprometheusPrometheusgrafanaGrafanadatadogDatadog

Each Migration Stage and the Failure It Prevents

Migrations fail in predictable places, and every stage exists because of one of them. Each closes with an artefact your team keeps, so a pause between budget cycles does not cost you what the previous stage learned.

01Discovery and dependency mappingPrevents a wave order derived from a wiki diagram nobody has updated. Our engineers inventory servers, applications, databases, licences and integrations, and take dependencies from live traffic analysis rather than institutional memory.02Migration strategy and workload dispositionPrevents the same rehost-or-refactor argument reopening in month four. Our architects give every workload a documented call with effort and risk attached.03Landing zone and target architecture buildPrevents workloads landing in a subscription somebody created in a hurry. We build the destination first: network topology, identity model, tagging, guardrails, encryption, logging, infrastructure as code.04Cost model and business casePrevents a cloud bill nobody forecast. Running cost is modelled per wave by our team from real utilisation, including reserved capacity, storage tiering and egress, then reported against for the whole programme.05Pilot wave and replication rehearsalPrevents discovering the cutover does not work during the cutover. A low-risk wave goes first, then our engineers rehearse the data move end to end into staging with counts and totals reconciled.06Production cutover in wavesPrevents an unplanned outage on a Monday morning. We run cutovers inside windows your operations team approves, source and target stay parallel until validation passes, and a failed check triggers the rehearsed rollback.07Optimisation, recovery testing and handoverPrevents paying cloud prices for data-centre sizing. Our engineers right-size the environment against real consumption, tune autoscaling, test the recovery design, and hand runbooks, dashboards and escalation to your team.

How a Cloud Migration Cutover Runs, and What Happens If a Wave Fails

Most proposals give cutover night one reassuring sentence. It is the part your operations team will actually worry about, so this is the sequence in full, including the branch where it goes wrong.

The window is your operations team’s callThe date comes from your business calendar and we work inside it.Rollback criteria written and signed before the window opensNamed, measurable conditions covering reconciliation variance, error rate and response time, each with the threshold that triggers a rollback.A full dress rehearsal into staging, at least onceSame runbook, same sequence, same reconciliation. If the rehearsal fails, the production window moves.Source and target run in parallelBoth live, both receiving, until validation passes. There is no point at which the old system is gone and the new one is unproven.Validation against the criteria agreed up frontRecord counts, financial totals, integration health, and performance under real load.Sign-off per wave, before the next one startsA programme is never mid-flight across three waves at once.If a wave fails validationThe rollback runs, from a runbook already executed in rehearsal. The wave returns to source, the remaining waves are unaffected because they have not started, and we hold a written post-mortem before rebooking. A failed wave costs a window and a diagnosis. It does not cost the programme, and it does not cost your Monday. Talk through the cutover plan for your estate.

Where These Ratings Are Published

Clutch, GoodFirms, Upwork and Google are all public and independently moderated. Aipxperts has been building and moving software systems since 2012.

Upwork4.8150 reviewsClutch5.012 reviewsGoogle4.335 reviewsGoodFirms5.05 reviews

What to Verify Before a Migration Vendor Touches Production

Handing a partner replication access to production data is not a small decision, and naming a framework says very little on its own. This is what each one changes about how a migration is actually run, including where we do not hold a credential you might assume.

How access and data are handledMigrations run under GDPR obligations where personal data is in scope, and around HIPAA safeguards for health data in transit, at rest and in logs. Replication credentials are named, time-bound and revoked at handover, and we work inside your own cloud accounts where your policy requires it. An NDA is signed before any environment access or architecture discussion.On certification, plainlyAipxperts is not ISO 27001 certified. We design and document to ISO 27001 and NIST CSF controls and prepare the evidence auditors ask for, but the certification is not ours to claim.

Settled Before You Sign a Migration Engagement

What cloud migration services cost, how long they run, how much downtime to expect, who operates the environment afterwards, and what happens if the bill surprises you.

Share your project vision

Tell us what you want to build. A specialist, not a salesperson, replies.

PDF, DOC or image, up to 10MB. Optional.
My idea is confidential – happy to sign an NDA.

The number moves on how many workloads enter scope, how many need rebuilding rather than rehosting, how much data has to move and be reconciled, and whether we run the environment afterwards. The cost model is built from your real utilisation and approved before any wave runs, so the figure you sign is the figure we report against. Programmes run fixed cost per wave once disposition is settled, or on time and materials where the estate is still being discovered.

Discovery and disposition usually run a few weeks. After that, duration is driven by wave count and by how much of your estate needs rebuilding rather than moving. You get a dated wave plan before the first window is booked, and each wave is sized so a slip in one does not move the rest.

Per wave, the window your operations team approved, and often less. Source and target run in parallel until validation passes, so the cutover is a switch of traffic rather than a period of unavailability. Where a workload genuinely cannot tolerate a window, we say so during disposition and design around it.

The rollback runs from a runbook already executed in rehearsal, the affected wave returns to source, and no other wave is in flight to be caught up in it. The cutover section sets out the full sequence including the failure branch.

It can, and pretending otherwise is how migrations lose their business case. Increases come from sizing the target off old server specifications and from egress nobody modelled. Both are handled in the cost model, from your actual utilisation data, and we report monthly against the approved figure.

Your team, with runbooks, dashboards and a named escalation path handed over. Many clients keep us on for right-sizing and recovery testing, and some move onto a managed arrangement. Neither is built into the migration scope by default.

Yes. Estates split across providers after an acquisition are common, and so are moves between providers. Disposition covers which workloads belong where, including the ones that should stay put. Multi-cloud is a decision with a cost attached and we price both sides of it.

It can run inside the same programme or as its own. Warehouse moves have a different rhythm and often a different sign-off group, so we sequence them separately. Reporting downtime should never land in the same window as an application cutover.

It stays running in parallel until the wave passes validation, and it stays readable afterwards for as long as your retention obligations require. Decommissioning is a decision you make once, with the reconciliation evidence already in hand, rather than something that happens quietly on cutover night.

No, and a plan that requires it is a plan that will slip. Waves are sequenced so your release cadence continues on everything not currently crossing, which is one of the reasons dependency mapping comes before the wave plan rather than after it.

One Call to Find Out Whether Cloud Migration Fits Your Estate

Bring us the workload that is too expensive to keep, too fragile to scale, or sitting on hardware near end of life. One call is usually enough to tell you whether it should move, be rebuilt, or be left exactly where it is.

Send Us the Workload

Read how cutover night runs

Published After Cutover Weekends

Our engineers and consultants write up what they learn on live projects: architecture decisions, model evaluation results, and the trade-offs behind them. Written for the people who will implement them.

Work a Migration Hands to Somebody Else

Sequence matters here. Some of these belong before a migration and some after it.

Cloud ConsultingCloud Managed ServicesLegacy Application ModernizationData EngineeringCybersecurity ConsultingDevOps Consulting