Cloud bills cut 40–45% — with performance unaffected.
Cost treated as an architectural decision, not a procurement exercise. Right-sizing, Spot fleets, storage tiering and real governance — savings that show up on the invoice without touching application code.
The problem we keep meeting
Cloud bills grow faster than usage for predictable reasons: instances sized for a peak that happens four hours a week and running 24/7, heavy On-Demand usage with no Savings Plan coverage, everything in standard storage regardless of access patterns, inter-region transfer fees nobody planned, and no alerts until finance asks what happened. None of that requires new application code to fix.
What we actually do
Right-size from measured usage
Instance sizing from actual utilization analysis, with Auto Scaling matched to real demand instead of worst-case guesses.
Buy compute the way it's actually used
Spot fleets for batch and fault-tolerant workloads (up to 70–80% compute savings on those workloads), Savings Plans for the predictable baseline, On-Demand only for what's genuinely unpredictable.
Tier the storage
S3 Intelligent-Tiering for active data, Glacier Deep Archive for compliance data nobody reads — plus CDN and regional consolidation to stop paying transfer fees between your own services.
Leave governance behind
Budgets, alerts and cost-review practice so the bill doesn't creep back the quarter after we leave.
What this has produced
lower compute + storage for a US logistics operator — $20K → $11K a month, $108K a year
lower monthly EC2 for a SaaS startup — $10K → $6K, $48K a year
application code changes, performance regressions, or user-visible impact across both
Both engagements above are delivered results. Industry studies put 70–80% of typical IT budgets into keeping legacy running — that figure is a benchmark, and we label it as one.
Questions buyers actually ask
How much can cloud cost optimization actually save?
In our delivered engagements, 40–45% of compute and storage spend: a US logistics operator went from $20K to $11K a month ($108K a year, with data-transfer costs down a further 30%), and a SaaS startup went from $10K to $6K a month ($48K a year). Your number depends on how much over-provisioning and On-Demand usage there is to unwind — which is exactly what an assessment establishes.
Does cutting cloud costs require changing application code?
In both engagements above: no. Right-sizing, Auto Scaling, Spot for batch workloads, Savings Plans, storage tiering and regional consolidation are infrastructure decisions. Performance was unaffected in both cases — including peak-hour scaling.
Will performance suffer?
It didn't, in either engagement — that's a design constraint, not a hope. Auto Scaling covers the real peaks, Spot is used only where interruption is tolerable, and nothing moves to colder storage unless its access pattern says so.
How do the savings not creep back?
Governance is part of the engagement: AWS Budgets and alerts for real-time spike detection, and a cost-review practice that catches anomalies and kills unused resources. The bill stays down because someone keeps watching it — eventually your team, not us.
What does an assessment cost?
Nothing. Bring the bill and the architecture; we assess it free and show you where the savings are before you commit anything.
Let's prove it — on a problem of yours.
Bring one real problem. We assess it free — and for the right fit, build a working prototype. No invoice until you decide to take it to production.