Services

Cloud cost optimisation.

Cut your AWS, Azure or GCP bill without slowing anything down — right-sizing, autoscaling and idle cleanup that stick. NZ-based, working AU, UK and US.

Cloud bills creep upward quietly — over-provisioned instances, forgotten resources, the wrong service for the job. We dig into where the money actually goes, then cut waste without slowing anything down: right-sizing, autoscaling, killing idle resources and fixing the architectural choices that drive cost. As engineers, we change the system itself, not just the spreadsheet — so the savings hold rather than drifting back next quarter.

Where we help

A clear breakdown of where your AWS, Azure or GCP spend is actually going
Right-sizing over-provisioned compute, storage and databases to real usage
Autoscaling so you pay for peak only at peak, not all day every day
Finding and removing idle, orphaned and forgotten resources
Committed-use and savings plans matched to genuinely steady workloads
Re-architecting hot paths toward serverless or cheaper services where it pays off
Storage tiering and lifecycle rules so cold data stops costing hot-data prices
Cost monitoring and budget alerts so spend never surprises you again

Example builds

Right-sizing data platforms. On full-stack & data systems we tune compute and storage to actual workload shape, so the platform performs without paying for headroom it never uses.

Cost-shaping spiky traffic. Public tools like FuelClock see uneven load — scale-to-zero and autoscaling mean the bill tracks real demand instead of worst-case provisioning.

Efficient model serving. Running custom neural networks economically means scheduling GPU work tightly and shutting expensive resources down the moment they are idle.

How we engage

We start with a cost audit to find the biggest wins, then split them into quick fixes — idle cleanup, right-sizing — and deeper architectural changes that need engineering. Because we build systems as well as audit them, the savings are structural and stick. See our services for how we scope a cost review.

Common questions

Will cutting costs slow our systems down?: No — that is the whole point. We right-size to real usage and add autoscaling, so performance at peak is unchanged while you stop paying for idle capacity. Where we re-architect, it is usually faster as well as cheaper.
How much can we realistically save?: It varies, but cloud environments that have grown organically often carry meaningful waste in over-provisioning, idle resources and the wrong service choices. We quantify the opportunity up front in the audit so you can decide what is worth doing before committing.
Is this a one-off or ongoing?: We deliver a one-off audit and remediation, then leave you with autoscaling, lifecycle rules and budget alerts so costs stay in check on their own. Some clients keep us on for periodic reviews, but the structural fixes are built to last without us.

Cloud & infrastructure Edge & serverless Infrastructure as code

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Where we help

A clear breakdown of where your AWS, Azure or GCP spend is actually going
Right-sizing over-provisioned compute, storage and databases to real usage
Autoscaling so you pay for peak only at peak, not all day every day
Finding and removing idle, orphaned and forgotten resources
Committed-use and savings plans matched to genuinely steady workloads
Re-architecting hot paths toward serverless or cheaper services where it pays off
Storage tiering and lifecycle rules so cold data stops costing hot-data prices
Cost monitoring and budget alerts so spend never surprises you again

Example builds

Right-sizing data platforms. On full-stack & data systems we tune compute and storage to actual workload shape, so the platform performs without paying for headroom it never uses.

Cost-shaping spiky traffic. Public tools like FuelClock see uneven load — scale-to-zero and autoscaling mean the bill tracks real demand instead of worst-case provisioning.

Efficient model serving. Running custom neural networks economically means scheduling GPU work tightly and shutting expensive resources down the moment they are idle.

How we engage

Common questions

Will cutting costs slow our systems down?

No — that is the whole point. We right-size to real usage and add autoscaling, so performance at peak is unchanged while you stop paying for idle capacity. Where we re-architect, it is usually faster as well as cheaper.

How much can we realistically save?

It varies, but cloud environments that have grown organically often carry meaningful waste in over-provisioning, idle resources and the wrong service choices. We quantify the opportunity up front in the audit so you can decide what is worth doing before committing.

Is this a one-off or ongoing?

We deliver a one-off audit and remediation, then leave you with autoscaling, lifecycle rules and budget alerts so costs stay in check on their own. Some clients keep us on for periodic reviews, but the structural fixes are built to last without us.