Free planning tool
Cloud Cost and Savings Calculator
Estimate potential savings across compute usage, commitments, storage, data transfer, and workload placement. Receive an immediate planning range without uploading billing data.
Build your cloud cost baseline
Use approximate percentages from your latest invoice. The calculator keeps your entries inside your browser.
Other cloud services
20%
How the calculator works
The model estimates category-level opportunities from your current spend mix, review cadence, workload stability, commitment coverage, and data movement. Usage improvements get evaluated before new commitments because long-term discounts applied to oversized resources preserve waste.
The FinOps Framework separates usage optimization from rate optimization.
AWS Cost Optimization Hub groups recommendations around commitments, idle resources, rightsizing, scaling, deletion, and modernization.
Azure Advisor identifies idle and underused resources and presents reservation and savings-plan opportunities.
Google Cloud commitment recommendations analyze historical and recent usage, including existing commitments.
Methodology sources
Frequently asked questions
How accurate is the savings estimate?
The result is a planning range, not a quote or guarantee. Resource-level billing exports, usage metrics, existing agreements, licenses, resilience requirements, and engineering effort determine the final opportunity.
How does the provider cost comparison work?
The selected provider uses your calculated optimization range. Alternative providers use a wider same-workload planning band around the optimized midpoint. Exact AWS, Azure, and Google Cloud comparisons require matched resources, regions, licenses, discounts, support plans, and data-transfer patterns.
Does CorePath receive my calculator inputs?
No. The calculator runs in your browser. CorePath receives information only after you choose to submit the separate audit form.
Does the model work for AWS, Azure, and Google Cloud?
Yes. The model covers common optimization categories across major public clouds. Provider-native recommendations and current contract terms still require separate validation.
Does the estimate include colocation or hybrid alternatives?
The estimate focuses on public-cloud optimization. A full review should compare workload placement when steady demand, data transfer, control, compliance, or performance requirements justify a colocation or hybrid analysis.
Results provide a preliminary planning estimate based on the information entered. Actual savings depend on architecture, usage patterns, pricing agreements, data movement, operational requirements, and implementation decisions.