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Cloud Cost Reporting and Forecasting

Cloud cost reporting and forecasting tracks current cloud spend in dashboards and projects future costs so teams can plan with confidence.

How It Works

Billing and usage data is collected from cloud providers such as AWS, Azure and Google Cloud and shown in dashboards that can be filtered by cloud, service, account and time period. Forecasting uses historical and current spend to estimate future costs, helping teams plan budgets and evaluate the cost impact of decisions such as purchasing commitments.

How Usage.ai Does It

Usage.ai reports commitment-eligible cloud spend across AWS, Azure and GCP, with views by cloud and service, daily and monthly coverage charts, date range selection, and export. Recommendations refresh every 24 hours. The Recommendation Summary compares annualized equivalent on-demand spend with estimated commitment cost, helping teams evaluate potential savings from recommended commitments.

Usage.ai recommendation summary
Recommendation Summary comparing annualized equivalent on-demand spend with estimated commitment cost across AWS, Azure and GCP (demo data).
Usage.ai recommendation with time and range
Coverage report with daily and monthly views, date ranges, and covered vs uncovered on-demand spend (demo data).
Related Terms

Cloud Accountability

Cloud accountability is the practice of assigning clear ownership of cloud spending to the teams, projects, or business units responsible for generating that cost.

Cloud Cost Allocation

Cloud cost allocation is the practice of assigning cloud infrastructure expenses to specific teams, products, projects, or business units so each owner can see and be accountable for what they spend.

Cloud Cost Modeling

Cloud cost modeling is the practice of estimating future cloud infrastructure costs by analyzing usage patterns, pricing structures, and planned business activity.