Cloud migration and modernization
Move it once. Move it properly.
Assessment, target architecture, and a phased move with a cost model you can hold us to. Your releases keep shipping while it happens.
Most migrations go wrong in the same two ways. Either everything moves at once over a weekend that becomes three, or a lift-and-shift lands the same architecture on a more expensive bill. We move workloads in slices, starting with the one that teaches us the most and hurts the least if it goes sideways.
What we ship
Everything under one roof.
Assessment and inventory
What you actually run, what talks to what, and what nobody has touched in two years.
Target architecture
Where each workload should land and why, written down before anything moves.
Cost modelling
A projected bill per phase, compared against today, with the assumptions shown.
Data migration
Replication, cutover, and rollback plans for the part that cannot be redone.
Containerization
Packaging and orchestration where it earns its keep, not because it is fashionable.
Pipelines and environments
Build, test, and deploy paths rebuilt so the new platform is usable on day one.
AI in the loop
The inventory, without the spreadsheet month.
The slowest part of a migration is finding out what you have. Agents read the accounts and the code so planning starts from evidence.
Discovery agent
Builds the service and dependency map from cloud accounts and repositories.
- Trigger
- Runs at assessment, then before each phase.
- Output
- A dependency graph with the unknowns flagged for a human.
Cost modeller
Prices each target architecture against current usage patterns.
- Trigger
- Runs when an architecture option is drafted.
- Output
- A side-by-side projection with the assumptions listed.
Migration checker
Compares source and target behavior on a sample of real traffic.
- Trigger
- Runs before every cutover.
- Output
- A diff of responses, latency, and errors, cutover blocked on failure.
Dead code scout
Finds services and endpoints with no traffic across the observation window.
- Trigger
- Runs during assessment.
- Output
- A candidate list to retire instead of migrate.
The cheapest workload to migrate is the one you turn off. We look for those first.
How we work
How the work actually runs.
- 01
Assess
Two to three weeks. Inventory, dependencies, cost baseline, and the risky bits named.
- 02
Design and price
Target architecture per workload, with a projected bill and a rollback plan for each.
- 03
Move in slices
Lowest-risk workload first. Every phase is reversible until its cutover is signed off.
- 04
Optimize
Rightsizing and commitment planning after the dust settles, not on migration-day guesses.
Who we serve
Categories we already know.
- B2B SaaS
- Fintech
- Healthcare
- Ecommerce
- Logistics
- Media
What clients say
4.6average across 4 verified reviews
I was particularly impressed by their creative approach and attention to detail.
Videography & photography company · website, SEO + design
They delivered the project on time.
Watch retailer · Shopify store build
Cubitrek always had a positive mindset and was kind.
Personal training company · video + social media
Questions buyers ask us.
A single application is usually six to twelve weeks including assessment. A full estate is months and should be planned as a programme, not a project. Anyone quoting a date before seeing your dependency map is guessing.
No, and that is the main constraint we design around. We move in slices with both paths live, so your team keeps merging and releasing. It costs a little more and removes the pressure that causes bad cutovers.
Usually a bit of both, decided per workload. Lift and shift is right when the clock matters and the app is stable. Modernizing first is right when the architecture is the reason the bill is high.
Every phase has a written rollback that we test before we run the cutover. If the checker flags a behavior difference on sample traffic, the cutover does not proceed. Failing forward on data is not something we do.
Often, but not by migrating. Most savings come from rightsizing, commitments, and turning off what nobody uses. We do that work after the move, once the usage data is real rather than projected.
Yes, and it goes better when we do. Your team knows the history behind the decisions we are unpicking. We work in your pull requests so the knowledge stays with you afterwards.
The running platform, the infrastructure as code that defines it, runbooks, and a handover session. All in your accounts and your repositories. You can take over on day one if you want to.
Ready to start cloud migration?
A 15-minute call. We map the goal, look at what exists, and come back with a scoped plan.