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How It Works
AWS Cost Optimization Hub pulls recommendations from multiple AWS tools, including AWS Compute Optimizer and AWS Cost Explorer, and surfaces them in one place. Teams can filter recommendations by account, Region, service, and resource type, then estimate projected monthly savings before acting. The hub covers EC2 instance rightsizing, Auto Scaling group adjustments, EBS volume optimization, Lambda rightsizing, and Savings Plan and Reserved Instance purchase recommendations. Each recommendation includes an estimated savings amount, giving finance and engineering teams a single starting point for cost reduction reviews.
Why It Matters for Cloud Cost
Without a consolidated view, optimization recommendations are scattered across separate AWS services, and teams often miss savings simply because they never see the relevant suggestion. AWS Cost Optimization Hub reduces that discovery friction. However, it surfaces recommendations only, it does not purchase commitments or make changes automatically. Recommendations also reflect AWS data with a lag of up to 72 hours, meaning usage changes take time to appear. Teams that rely solely on the hub for commitment management still carry the execution burden and the financial risk of choosing the wrong commitment type or size.
Usage AI: Usage AI’s CoPilot mode goes beyond static recommendations by refreshing commitment analysis daily and surfacing projected savings for customer review before any purchase is executed, removing both the data latency and the execution burden that the Cost Optimization Hub leaves in place.