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How It Works
Every cloud instance type carries a price and a set of performance characteristics, such as vCPUs, memory, network bandwidth, and storage throughput. The price-performance ratio expresses how efficiently a given instance converts spend into usable compute output. A higher ratio means you get more work done per dollar. Teams evaluate this metric when selecting instance types, migrating workloads to newer processor generations, or deciding between on-demand pricing and committed pricing models. AWS, Azure, and GCP all release new instance families regularly, and newer generations typically deliver better price-performance than their predecessors at the same or lower cost.
Why It Matters for Cloud Cost
Choosing an instance with a poor price-performance ratio means paying more for the same workload output. At scale, this compounds quickly. A team running hundreds of instances on an older generation may be spending 20 to 30 percent more than necessary simply by not evaluating newer options. Beyond instance selection, price-performance analysis informs rightsizing decisions, architecture trade-offs, and commitment planning. Without a clear view of what each dollar is actually delivering, teams optimize spend in the abstract rather than against real throughput or business output.
CoPilot surfaces projected savings from Savings Plans and Reserved Instances across EC2, Fargate, RDS, and other services, so teams can review and approve commitment purchases before any spend is locked in.