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Cloud & Infrastructure

Cloud Cost Optimisation (FinOps)

Reduce cloud spend in the right order — visibility, deletion, rightsizing, then commitments.

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Overview

Cloud bills rarely grow because of one dramatic mistake. They grow through twenty small decisions that were correct at the time and were never revisited. The fix is unglamorous and sequential, and the order matters more than the tooling.

We start with visibility, because you cannot negotiate with a number you cannot break down. Then we remove what is genuinely unused, rightsize against real metrics, tier storage to match access patterns, and only then look at reservations and savings plans — because committing early locks in whatever waste you still have.

What you get

Savings you can defend

Every change is recorded with a before and after figure, separating one-off reductions from recurring savings.

No delivery slowdown

We prioritise changes invisible to engineers: deleting the unused, scheduling the idle, tiering the cold.

Ownership established

A mandatory tag set and cost allocation so each team can see and act on its own spend.

It stays fixed

Budget alerts, a monthly review with a named owner, and cost estimates attached to architecture changes.

How we work

  1. 01

    Baseline

    Tagging, cost allocation and a full billing cycle of data before anything is changed.

  2. 02

    Remove

    Orphaned volumes, idle environments, forgotten load balancers and over-retained logs.

  3. 03

    Rightsize

    Two weeks of CPU, memory and I/O data per workload, sized to peak plus headroom, changed one at a time.

  4. 04

    Commit

    Reservations and savings plans covering only the stable baseline, with a diarised review before renewal.

Common questions

How much can we expect to save?

It depends entirely on the current environment, so we will not quote a percentage before looking. The review tells you the specific savings available and the effort each one requires.

Are you paid a share of the savings?

No. We charge for the work. A percentage-of-savings model creates an incentive to find dramatic-sounding changes rather than sensible ones.

Will this affect performance?

Rightsizing carries some risk, which is why we size to peak rather than average, change one workload at a time and watch latency rather than just CPU.

Often paired with

Cloud & Infrastructure

AWS Cloud Solutions

Architecture, build and optimisation on Amazon Web Services, from a single workload to a multi-account landing zone.

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Ready to talk about cloud cost optimisation (finops)?

We will tell you what we would do, roughly what it costs, and whether it is worth doing yet.

Book a meeting