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Cloud Cost Optimization Insights

Cloud cost optimization insights analyze usage data to find wasted spend and recommend actions to reduce it.

How It Works

An optimization engine analyzes cloud usage and billing data to find inefficiencies, such as oversized resources or spend that runs on full on-demand pricing instead of discounted commitments. Each finding comes with a recommended action and its projected savings.

How Usage.ai Does It

The examples below focus on commitment-based rate optimization: identifying eligible on-demand usage and comparing recommended commitments with estimated savings. Usage.ai refreshes recommendations every 24 hours for services such as EC2, Fargate, RDS, ElastiCache, Redshift, OpenSearch and DynamoDB. Each recommendation shows the instance, region and account, the current on-demand spend, the recommended Savings Plan or Reserved Instance rate, and the estimated annual savings, with approval status for each recommendation. For the services a customer enables, Autopilot purchases recommended commitments automatically as usage changes.

Usage.ai commitment recommendations by service
Commitment recommendations by service with approved and pending estimated savings (demo data).
Usage.ai recommendation detail view
Each recommendation shows current on-demand spend, the recommended commitment rate, and estimated annual savings (demo data).
Related Terms

Cloud Audit

A cloud audit is a structured review of cloud infrastructure, configurations, and spending to identify waste, inefficiencies, and opportunities to reduce cost.

Cloud Automation

Cloud automation is the use of software to provision, configure, scale, and optimize cloud resources without requiring manual human action at each step.

Cloud Financial Management

Cloud financial management (CFM) applies financial discipline to cloud spending, encompassing visibility, allocation, forecasting, optimization, governance, and reporting across all cloud services.