ServicesMigrations to AWS

Migrations to AWS, planned to the workload.

Applications, databases, data platforms and AI workloads moved to AWS with a written plan, a measured baseline and a cost model you agreed before anything moved. Including engagements under the AWS Migration Acceleration Program.

Who it is forOrganisations with on-premises or multi-cloud estates moving to AWS, teams consolidating after a merger, and AI teams whose inference bill belongs on different hardware.

The problem

Most migrations fail on the plan, not the move. Workloads get lifted without knowing what they cost today, dependencies surface in the cutover window, and the bill afterwards is a surprise because nobody modelled it.

We start with an assessment that inventories what you run, what it depends on and what it costs, and we agree the target architecture and the cost model in writing before the first resource is created. Migrations structured for the AWS Migration Acceleration Program follow its assess, mobilise and migrate phases, so the funding paperwork is a by-product of the plan rather than extra work.

What we deliver

  • Migration readiness assessment with dependency map and cost baseline
  • Target architecture, landing zone and security baseline
  • Wave plan with cutover runbooks and rollback for each wave
  • Execution with your team, or by ours under your accounts
  • Post-migration optimisation: right-sizing, reservations, decommissioning
  • AI inference migration from GPU to Trainium and Inferentia where the numbers justify it

How we work

Assess

Inventory, dependencies, current cost and risk. Written report with a recommendation per workload: rehost, replatform, refactor, retire.

Mobilise

Landing zone, identity, networking, security controls and the wave plan. Funding paperwork prepared where MAP applies.

Migrate

Wave by wave, with runbooks, canary cutovers and rollback. Nothing moves without a tested way back.

Optimise

Thirty to sixty days after cutover: right-size, reserve, remove what is idle, and hand over the cost dashboard.

What backs it

Cybernip is a member of the AWS Partner Network. Migrations use the same written-scope, named-engineer model as every engagement, and the cost baseline from the assessment is the number every later decision is measured against.

Common questions

Do you only migrate AI workloads?

No. Applications, databases, file servers, data platforms and AI workloads. The AI inference migration to Trainium is one specialised wave inside a larger plan when it applies.

Can we use AWS funding?

Where the engagement qualifies for the Migration Acceleration Program we structure it to its phases and prepare the paperwork with you. Eligibility depends on the workload and on AWS's current programme terms, which we confirm at assessment.

Who executes, you or us?

Either. Some clients want their team to do the work with us planning and reviewing; others want us to execute inside their accounts. Both are fixed scope.

Talk to an engineer about this

Thirty minutes, no slides. Bring the workload and we will tell you what we would do and what it would cost.

Talk to us[email protected]