Cost Optimisation
“Our AWS bill keeps climbing and nobody can explain why”
Last month's bill was 40% higher than expected. Finance wants answers. Your engineers can't explain it because they're building features, not tracking spend. The bill is a growing black box.
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Your AWS bill is predictable and you know exactly where every pound goes.
Right-sized instances, optimised commitments, zero waste. Clear cost allocation by team and service. A bill you can explain to finance in 30 seconds.
Your AWS bill arrives. It’s higher than last month. Again. Finance wants to know why. Your engineers shrug. They’re building features, not analysing invoices. The bill is a growing black box that nobody has time to open.
Why AWS bills are hard to control
AWS pricing is complex by design. Hundreds of services, each with their own pricing model. On-demand, reserved, spot, savings plans. Per-hour, per-request, per-GB. The bill is a spreadsheet, not an explanation.
Without deliberate cost governance, waste creeps in from every direction. Development environments that mirror production specs. Test resources that were never cleaned up. Reserved Instances bought based on optimistic projections. Each one seems small. Together, they’re 20-40% of your total bill.
How we optimise
Cost optimisation isn’t a one-time exercise. We identify the quick wins, implement the changes, and then maintain ongoing governance so the savings stick.
Quick wins first. Unused resources, oversized instances, and missing commitments. These typically account for 15-25% savings and can be implemented in weeks.
Tagging that maps to your business. Every resource tagged with team, environment, and service. Your finance team can see what each team spends without asking engineering.
Ongoing governance. Automated policies prevent waste from returning. Quarterly reviews catch new optimisation opportunities as your workloads evolve. Your bill stays predictable because someone is actively managing it.
What's usually in the way
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No cost allocation or tagging strategy
Resources aren't tagged consistently. You can't break the bill down by team, environment, or service. The total number is all you have.
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Oversized instances running 24/7
Development environments run full production specs around the clock. Production instances were sized for peak traffic that happens 2 hours a day.
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Forgotten resources accumulating silently
Unattached EBS volumes, unused Elastic IPs, orphaned snapshots, test environments that were never torn down. Each one is small. Together, they're significant.
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No Savings Plans or wrong commitments
You're paying on-demand prices for stable workloads, or you bought Reserved Instances based on projections that didn't match reality.
What we resolve
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Tagging strategy that maps cost to business
Consistent tagging across your estate with cost allocation enabled. Every pound mapped to a team, environment, or service. Visible in Cost Explorer.
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Right-sizing based on actual usage
Instance types matched to real utilisation patterns. Development environments scaled down or scheduled. You pay for what you use.
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Waste eliminated with ongoing governance
Unused resources identified and removed. Automated policies prevent future waste. Regular reviews catch new drift before it accumulates.
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Commitment strategy aligned to actual workloads
Savings Plans and Reserved Instances purchased based on real, stable usage, not projections. Reviewed quarterly as your workload evolves.
“We found savings we didn't know existed. The optimisation paid for itself in the first month.”
Finance Director , E-commerce platform
Ready to take the next step?
No obligation, just a clear conversation about where you are and what's possible.