AWS Cost Optimisation
Your AWS bill grows quietly until no one can fully explain it. A senior, AWS-certified architect finds where the money goes, removes the waste, and keeps spend under control without slowing you down.
Nobody sets out to overspend on AWS. It happens quietly. An instance sized for a load test that never got scaled back. A few terabytes of snapshots nobody deleted. An environment left running over the weekend. Data crossing regions because of where something happened to land. None of it is dramatic on its own. It just adds up, and by the time anyone looks closely the bill has become a number no one wants to explain. Cost optimisation is the work of finding that money and bringing the bill back under control, without slowing you down.
Who this is for
This is for teams whose AWS bill has grown faster than their usage explains. Often there is a trigger. A budget review, a question from finance you cannot answer, a funding round where margins suddenly matter, or simply growth that has made AWS one of the largest lines in the business. It is also for teams who want to keep spend in check before it becomes a problem, rather than after.
How we work
We start by finding out where the money actually goes. Using AWS Cost Explorer and proper cost allocation tagging, we break the bill down by service, environment and team. The spend stops being one large opaque figure and becomes something you can reason about.
Then we sort what we find into three groups. Waste to remove, resources to right-size, and architecture worth rethinking. We work through them in order of what saves the most for the least risk. We never quietly cut something your performance depends on. Where there is a real tradeoff between cost and performance, we put it in front of you and leave the decision with you.
We do this with AWS-native tools, AWS Cost Explorer and AWS Budgets, not a paid third-party platform. There is no software licence eating into the savings we find.
What you get
A clear picture of your bill, broken down so you can see where the money goes. The easy waste removed, and your main resources right-sized to what they actually need. Cost allocation tagging in place, so spend stays visible as you grow. Budgets and alerts, so the bill tells you when it starts to drift rather than surprising you at the end of the month. Cost control becomes something you can see and keep, not a cleanup you repeat every year.
Common questions
Will optimising costs slow us down?
No, and that is the whole point of doing it properly. We separate genuine waste, which can go without anyone noticing, from the resources your performance actually depends on. The first group we remove. The second we right-size carefully, with headroom kept. Where a saving would mean a real tradeoff against performance, we tell you before we touch anything and leave the call with you.
Do we have to pay for a cost-management tool?
No. We work with the AWS-native tools, AWS Cost Explorer and AWS Budgets, which are already part of your account. There is no third-party platform to licence, so none of the saving we find is lost to software fees.
How much can we save?
It depends entirely on your setup, so we will not put a figure on it before we have looked. What we can say is that most environments carry the same kinds of waste. Oversized instances, idle resources, forgotten storage, avoidable data transfer. We find those first, then show you the numbers against your own bill.
The same discipline runs through our case studies.
What this looks like in practice
See where the money goes
We break your bill down by service, environment and team with Cost Explorer and proper tagging, so spend stops being one opaque figure.
Senior judgement, not blunt cuts
A senior, AWS-certified architect separates genuine waste from the resources your performance depends on, so savings never come at the cost of reliability.
Kept under control
Cost allocation tagging, budgets and alerts stay in place, so the bill tells you when it starts to drift instead of surprising you at month end.
AWS services and tooling
Related case studies
Related blog posts
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