.png)
How It Works
Cloud providers like AWS, Azure, and GCP offer discounted pricing in exchange for a usage commitment over a fixed period. That period is the commitment term. Most providers offer 1-year and 3-year options. Longer terms typically unlock deeper discounts but require the customer to accurately forecast usage over a longer horizon. On AWS, this applies to Reserved Instances and Savings Plans. Azure uses the same structure for Reservations and Azure Savings Plans. GCP applies it to Committed Use Discounts (CUDs). The discount rate the customer receives depends directly on which term they select at the time of purchase.
Why It Matters for Cloud Cost
Choosing the wrong term length is one of the most common sources of cloud waste. A 3-year commitment made during a period of high usage can become a liability if the team migrates services, scales down, or changes instance types. Conversely, staying on 1-year terms when usage is stable means leaving additional savings on the table year after year. The core tension is between maximizing discount depth and preserving flexibility. Without a deliberate term length strategy, finance teams often default to either excessive caution (always 1-year) or excessive risk (3-year commitments based on optimistic forecasts), neither of which produces optimal outcomes.
Usage AI: Usage AI operates exclusively on 1-year commitment terms across all products, including the Usage Flex Savings Plan, Usage Flex DB Savings Plan, and Usage Flex Reserved Instances, and backs every commitment with a cashback plus credits guarantee on any underutilization.