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How It Works
Usage optimization focuses on the demand side of cloud cost. Rather than negotiating a better rate for existing consumption, it asks whether each resource should be running at all, and whether it is sized correctly for the work it handles. Teams audit compute instances, databases, storage volumes, and other services to identify waste, such as instances running at 5% CPU utilization or environments left active outside business hours. The goal is to reduce the quantity of consumption before applying discounts or commitment instruments on top. In the FinOps framework, usage optimization sits within the Optimize phase alongside rate optimization, and both are prerequisites for mature cost control.
Why It Matters for Cloud Cost
Cloud providers bill for what is provisioned, not what is used. A team that provisions generously and never reviews capacity accumulates waste at the same rate its cloud footprint grows. Without a usage optimization practice, discount instruments like Reserved Instances or Committed Use Discounts get layered on top of oversized infrastructure, which limits their effectiveness and can create stranded commitments when workloads are later reduced. Usage optimization directly lowers the baseline spend that all other cost strategies build on. Teams that optimize usage first consistently see greater returns from commitment purchases because the commitments are sized to actual, right-sized demand rather than inflated historical consumption. See what is Cloud Rightsizing.
Usage AI’s CoPilot surfaces projected savings for customer review before any purchase is executed.