Cutting Cloud Infrastructure Costs by 30% Without Touching Uptime

Cloud cost optimization has a bad reputation because it's often done carelessly — someone downsizes instances late on a Friday and pages the on-call team by Monday. Done properly, it's one of the lowest-risk, highest-ROI engineering projects you can run.

Start with right-sizing, not reserved capacity. Most teams provision for peak load and never revisit it. Pulling 30 days of CPU/memory utilization data and right-sizing instances to actual usage, with headroom, is consistently where we find the first 10-15% in savings with zero risk.

Reserved instances and savings plans come next, but only after right-sizing — committing to reserved capacity on over-provisioned instances just locks in the waste for a year. Once usage is right-sized and stable, a 1-year reserved commitment on baseline load typically saves another 15-20%.

Audit storage tiers separately from compute. Data that hasn't been accessed in 90 days sitting in standard storage instead of an infrequent-access or archive tier is one of the most common — and most invisible — sources of waste we find.

Roll out changes gradually with monitoring at each step, never all at once. The goal isn't just lower cost; it's lower cost with the same reliability guarantees you had before — and that only happens when cost work is treated as a real engineering project, not a spreadsheet exercise.