Most cloud waste is invisible until you go looking
Across our recent infrastructure engagements, the average client was overspending on cloud resources by 30-45% before optimization — not from one dramatic mistake, but from dozens of small inefficiencies that accumulate quietly over time.
Right-sizing is the highest-leverage first step
Most teams provision compute for peak load and never revisit it. Analyzing actual utilization over 30-90 days and right-sizing instances routinely recovers 15-20% of spend with zero performance impact.
Reserved capacity and commitment discounts
For predictable, steady-state workloads, committing to reserved instances or savings plans instead of paying on-demand rates is often the single largest lever available, frequently cutting costs on those workloads by 30-50%.
Autoscaling done properly
Autoscaling based on real request-level metrics — not just CPU — lets infrastructure shrink during genuinely idle periods (nights, weekends, off-season) instead of running peak capacity around the clock.
Storage tiering and data lifecycle policies
Old logs, backups, and infrequently accessed data left in premium storage tiers is one of the most common — and easiest to fix — sources of waste we find during audits.
The result
Combining these levers, we've helped clients cut infrastructure spend by 30-40% while maintaining or improving reliability, since much of the work also removes brittle, manually-managed capacity planning.
