Cloud Cost Optimization
AWS and GCP cost audits that find real savings. Reserved instances, right-sizing, waste elimination, and cost governance that sticks.
Best fit
Who Cloud Cost Optimization is for
AWS and GCP cost audits that find real savings. Reserved instances, right-sizing, waste elimination, and cost governance that sticks.
Companies whose cloud bill grew without the traffic
Spend went up and the graphs of users and requests did not. Between resources nobody deleted and instances sized for a launch that is over, most of that difference is recoverable.
Finance teams that cannot attribute spend to anyone
The invoice arrives as one number for the whole company, so no team owns its own usage and no product has a real margin. Tagging and allocation are what make that conversation possible.
Teams paying on-demand rates for steady workloads
The baseline has been running for a year and is still billed as though it might stop tomorrow. Reservations and savings plans need a usage profile behind them, not a guess at renewal.
CTOs defending infrastructure spend to a board
The question is rarely why it costs this much, it is whether anybody has checked. A prioritised list with the saving written next to each item answers that in one slide.
Recognise one of these? Describe it and we will tell you what it involves.
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Free Cloud Cost Work Hours Estimator
Four questions about your cloud estate, and a range of support hours a month the cost work would take. Our hours, not your bill and not a saving we cannot know.
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Included
What Cloud Cost Optimization Includes
How it goes
How we run this engagement
The same four steps on every engagement, whether it is a one-off project or an ongoing retainer.
Step 1
You describe the work
A written request, answered by a senior engineer within one working day
Step 2
Audit & Plan
Full review of current stack, written action plan (AI-powered stack analysis + risk mapping)
Step 3
Execute
Implementation, migration or ongoing management begins
Step 4
Monitor & Support
Continuous oversight, alerts, regular reports (AI-correlated alerts, zero noise)
Overview
About Cloud Cost Optimization
A thorough cost audit across your AWS or GCP accounts - identifying idle resources, oversized instances, and missing reservations. You get a prioritised list of what to change, in the order that pays back soonest, and governance policies so the estate does not drift back.
AI-Augmented Service
AI-driven spend analysis to identify savings patterns across services
Cloud Cost Optimization - Common Questions
We will not put a percentage on it before looking. What a review finds depends entirely on how optimised the estate already is, and a team that has bought commitments and right-sized is in a different position from one that has never looked. The first pass tells you what is there, and the number comes out of that rather than out of an average.
We optimise AWS and GCP environments. Our audit covers all services and accounts, including compute, databases, storage, networking, and data transfer costs across your entire cloud footprint.
The core service is a project-based audit with a prioritised savings plan. If you want ongoing cost governance - budget alerts, monthly savings reports, and continuous optimisation - we offer that as part of an infrastructure management retainer.
We implement cost allocation tagging, budget alerting, and governance policies as part of the engagement. These controls give your team ongoing visibility and prevent cost drift from creeping back in.
Yes. We produce clear cost attribution reports broken down by team, project, or environment. These reports are designed to be understood by finance and leadership - not just engineers.
It should not, and that is the constraint we work under. Savings come first from waste with no user impact: idle resources, oversized instances, forgotten volumes and snapshots, cross-zone traffic, storage tiers and log retention. Anything that could affect performance is measured before and after and is changed only with your agreement.
Us, on Cloud Cost Optimization
Written for the problem rather than for the sale. Read one before you decide whether we know your stack.
Moving EKS to Production, and the Five Bills Nobody Budgets
Five recurring AWS charges that switch themselves on when an EKS cluster reaches production, what starts each one, and how to see where you stand.
Read itServer & DevOps · 6 minHow to Set Requests and Limits From Real Usage Instead of Guesses
Copied resource blocks cause two expensive problems at once, pods killed for memory they never used and latency nobody can explain. This shows how to read what your workloads actually consume, how CPU throttling shows up in metrics, and why a CPU limit and a memory limit are completely different decisions. The result is a set of numbers you can defend in a review instead of numbers that were inherited from a tutorial.
Read itCloud · 6 minHow to Set Up Budgets and Anomaly Detection Before the Bill Surprises You
Finding out about a spend problem from the invoice means finding out weeks late. AWS gives you two different mechanisms for catching it earlier, and they are not interchangeable. A budget fires when a number you chose is crossed, while Cost Anomaly Detection models what your spend normally looks like and tells you when the shape changes. This walks through setting up both from the CLI, the delay each one carries between the spend happening and the alert arriving, who should be on which notification, and the charges neither one will catch for you.
Read it