Solutions | Cloud Migration
Migrate to AWS faster, and become AI-ready
We move workloads from Azure, Google Cloud, Heroku or on-premises to AWS. AI-powered tooling automates the slowest part of the job, refactoring, so migration doesn't hold up your roadmap.
Book a 20-minute scoping callWhy migrations stall
Manual refactoring eats engineering time, running two clouds at once burns budget, and hidden dependencies break cutovers late in the day.
Manual refactoring eats engineering time
Rewriting services by hand for a new platform is the slowest part of any migration, and it pulls engineers off the roadmap for months.
FIX
AI-powered tooling automates the refactoring, so the move takes weeks rather than quarters.
Running two clouds burns budget
Every week the old and new environments run side by side you pay for both, and the migration budget quietly doubles.
FIX
A staged plan with a dated switch-off for the old environment.
Hidden dependencies break cutovers
An undocumented integration or a forgotten scheduled job surfaces on cutover night, and the move rolls back.
FIX
We map your estate and its dependencies before anything moves.
Assess, migrate and modernise, cut over, verify
Four steps, each with a clear output. Migrations typically take 4–10 weeks, depending on your estate.
STEP 01
Assess
We map your estate and its dependencies before anything moves.
Includes:
Output
A migration plan: the order of moves, the risks, and the AWS funding you qualify for.
STEP 02
Migrate and modernise
Automated refactoring and containerisation, like-for-like or modernised.
Includes:
Output
Workloads running on AWS, in the shape you chose.
STEP 03
Cut over
Staged, with rollback plans and out-of-hours windows where needed.
Includes:
Output
Traffic on AWS, with a rollback path open at every step.
STEP 04
Verify
Everything is tested on AWS before the old environment is switched off.
Includes:
Output
The old environment switched off and the dual-running cost gone.
Why Cloud Combinator
AWS funding and credits: As an AWS Advanced Tier Partner, we check what AWS funding and credits you're eligible for.
AI-ready from day one: Once you're on AWS, your AI build can start straight away.
Automated refactoring: AI-powered tooling takes on the slowest part of the job, so your engineers stay on the roadmap.
4–10 weeks: Migrations typically take 4–10 weeks, depending on your estate.
Related success stories
A phased, low-risk path from Azure to AWS
A containerised microservices platform with AI at its core moved from Microsoft Azure to AWS service by service, with a rollback path open at every step.
Read moreRe-platforming from Google Cloud to AWS
A cloud-native financial AI assistant moved off Google Cloud onto a fully AWS-native foundation without losing a document or interrupting users.
Read moreOff Heroku and onto managed AWS
A platform moved off Heroku onto a managed, best-practice AWS foundation, ready to scale as the business grows.
Read moreFrom on-premises to a cloud-native AWS platform
Ageing on-premises hardware replaced by a resilient AWS foundation, validated against the AWS Well-Architected Framework before go-live.
Read moreFrequently asked questions
Which platforms do you migrate from?
Azure, Google Cloud, Heroku, Vercel and on-premises.
Is there funding available?
Qualifying migrations may be eligible for AWS funding and credits.
Will there be downtime?
We plan staged cutovers with rollback at every step to keep disruption to a minimum.
Is migration the blocker?
Book a 20-minute call to scope it. We'll look at what you're running, where it needs to go, and what AWS funding the move qualifies for.
Why talk to us:
Estate and dependency assessment
AI-powered refactoring
Staged cutover with rollback
AWS funding and credits check
Start with a focused 20-minute conversation about your goals — no pressure, no commitment.


