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Cloud

Cloud decisions that hold up three years later

Workload assessment, platform selection, migration planning and execution across the major public clouds.

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The problem

Cloud migrations fail commercially far more often than technically. Workloads get lifted into a public cloud at the specification they had on-premises, run continuously at a size chosen for a peak that happens twice a year, and cost more than the hardware they replaced. The technology works; the business case does not.

How we approach it

We start with the workload economics rather than the migration mechanics. Each application is assessed for what it actually consumes, what its availability requirement genuinely is, and whether re-hosting, re-platforming or leaving it where it is produces the better outcome.

What follows is a migration plan with a cost model attached, and a governance model that keeps the cost where the model said it would be after the project team leaves.

What you get

  • Workload-level assessment rather than a blanket migration
  • Cost model built before commitment, not discovered afterwards
  • Right-sizing based on measured consumption
  • Reserved capacity and savings plan analysis where the baseline is genuinely stable
  • Governance and tagging so cost stays attributable
  • Migration sequenced to keep a rollback position

How the engagement runs

The sequence, and why each stage comes where it does.

  1. Assessment

    We measure current consumption, dependencies and availability requirements per workload rather than per server.

  2. Business case

    A cost model comparing stay, re-host and re-platform for each workload, with the assumptions stated so you can challenge them.

  3. Landing zone

    Network, identity, governance and tagging are built before workloads move, so cost attribution works from day one.

  4. Migration

    Workloads move in dependency order with a tested rollback at each wave.

  5. Optimisation

    Post-migration right-sizing against observed rather than projected load, and commitment purchasing once the baseline is real.

  6. Operate

    Ongoing cost review and governance, either by your team with our support or as a managed service.

Technology we work with

Named so you can check the fit against your existing estate.

  • Microsoft Azure
  • Amazon Web Services
  • Google Cloud
  • Terraform
  • Azure Migrate
  • VMware

Frequently asked questions

Should everything move to the cloud?
No, and we will tell you which workloads should not. Steady-state, high-throughput systems with predictable load and no elasticity requirement frequently cost more in a public cloud than on owned hardware. The assessment identifies those explicitly.
How accurate is the cost model?
It is built from your measured consumption, so it is considerably more reliable than a sizing estimate. We state the assumptions, including the ones we are least confident about, so the model can be challenged before money is committed.

Talk to us about cloud advisory & migration

Tell us where you are now and what you are trying to reach. We will scope it honestly, including whether this is the engagement you actually need.

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