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How It Works
AWS Spot Instances (also called EC2 Spot Instances) run on spare compute capacity that AWS makes available at a discount versus on-demand pricing. The trade-off is that AWS can reclaim that capacity with a two-minute warning when demand rises. The Spot Instance Advisor addresses this risk by publishing historical data on how often each instance type has been interrupted in a given region, organized into frequency bands. Teams use this information to pick instance types that have been interrupted less often, improving the reliability of their Spot-based workloads without paying on-demand rates.
Why It Matters for Cloud Cost
Spot Instances can deliver significant compute savings, but choosing the wrong instance type in the wrong region can result in frequent interruptions that destabilize workloads and add operational overhead. The Spot Instance Advisor gives engineers and finance teams the interruption context they need before committing to a Spot-based architecture. Without it, teams either avoid Spot Instances entirely and pay more than necessary, or adopt them without visibility into real-world reliability, leading to avoidable failures. Using the Advisor as part of a broader cost strategy helps capture Spot discounts while keeping interruption rates manageable.
Usage AI: Usage AI’s CoPilot surfaces commitment recommendations across EC2 and other compute services, including the Usage Flex Savings Plan covering EC2, Fargate, and Lambda, so teams can lock in predictable savings on stable baseline workloads while reserving Spot for interruptible jobs.