EC2 Spot Protection introduces a seamless way to leverage AWS Spot Instances, offering up to 90% cost savings compared to On-Demand without the operational complexity of managing interruptions. Built directly into AWS Tuner, this feature ensures high availability by automatically handling failover to On-Demand capacity when Spot interruptions occur, and shifting workloads back to Spot when capacity stabilizes.

The feature includes a centralized dashboard that provides visibility into Spot-enabled Auto Scaling Groups (ASGs), total EC2 spend, estimated monthly savings, and actual savings achieved. This enables users to track both potential and realized cost optimizations in real time across regions.

Tuner performs automatic eligibility checks for ASGs, validating instance type availability in the Spot market, AMI compatibility, and launch template configuration. Ineligible ASGs are clearly identified with contextual tooltips, ensuring users understand exactly why Spot Protection cannot be applied without requiring manual investigation.

Enabling Spot Protection is a simple, guided three-step process. Users can define the balance between Spot and On-Demand capacity, configure base On-Demand requirements, enable fallback behavior, select allocation strategies, and activate capacity rebalancing. Once enabled, Tuner applies the configuration via AWS APIs and begins continuous savings tracking.

During runtime, Tuner actively monitors for Spot interruption signals and responds in real time. If an interruption is detected, it automatically replaces affected instances using Spot capacity when available, or On-Demand capacity if necessary. It continuously monitors recovery conditions and gradually shifts workloads back to Spot once availability improves, ensuring stability without sudden disruptions.

Unlike native AWS capabilities, which do not provide automatic fallback to On-Demand, Tuner offers a differentiated approach with granular control over Spot and On-Demand ratios. This allows users to define not just whether to fall back, but how much capacity should shift and how quickly it should return to Spot, delivering a more resilient and cost-efficient compute strategy.