The problem, and what it cost
The infrastructure bill had grown quietly for years. It was the second or third largest line in the business and nobody could say precisely what any part of it was for.
Architecture decisions made when the product was small were still being paid for at scale: capacity provisioned for peaks that no longer happened, environments left running, data kept on the most expensive storage long after anyone last read it.
The cost was margin. Every dollar of it came straight off the bottom line, month after month.
The outcome we agreed to measure
The agreed measure was the monthly bill, compared against the same workload — not a saving achieved by turning the product down.
Performance and availability were held as constraints: the service had to be at least as fast and at least as reliable after the work as before.
What we built
A review of what was actually running, what it cost, and what it was for — traced back to the product behaviour driving it, not just the line items on an invoice.
From there: workloads right-sized to real demand, storage moved to tiers matched to how often the data is read, redundant environments retired, and the largest cost drivers rearchitected rather than trimmed.
Everything was implemented with the business's own team, so the reasoning stayed in-house and did not walk out the door with us.
The number
−50%+
Reduction in the monthly cloud bill — a recurring six-figure annual saving.
Where it runs now
The reduced run-rate has held. It is a recurring six-figure annual saving, not a one-off credit, and the same workload is being served.
Costs are reviewed on an ongoing basis so the drift that caused the problem does not quietly start again.
Different business, same shape of problem?
That's usually how these start. Tell us what the process is costing you and we'll say whether it's worth building for.