Planning & Estimating
Planning and Estimating is the FinOps capability focused on predicting future cloud spend based on historical data, upcoming projects, and business growth. This guide explains how to leverage Cloudaware to create data-driven forecasts and bridge the gap between cloud consumption and financial budgeting.
Goals
Your planning and estimating process should:
Eliminate "bill shock" by providing visibility into future spending trends.
Align engineering roadmaps with finance-approved budgets.
Provide a baseline for "Plan vs. Actual" variance analysis.
Enable data-backed decisions for Reserved Instances (RIs) and Savings Plans (SPs) purchases.
Key Estimation Inputs
To build an accurate estimate, Cloudaware consumes several data dimensions:
Historical Spend – Normalized cost data across all providers.
Seasonality – Patterns in usage (e.g., retail peaks, end-of-month processing).
Growth Projections – Input from business units (e.g., "we expect 20% more users next quarter").
Architectural Changes – Planned migrations or shifts (e.g., moving from EC2 to Lambda).
Provider Considerations
Cloudaware normalizes forecasting across different cloud billing mechanics:
AWS – Considers Data Exports (CUR), RIs, and Savings Plans to project net effective spend.
Azure – Incorporates Azure Advisor recommendations and EA/MCA price sheets.
Google Cloud – Factors in CUDs (Committed Use Discounts) and project-level quotas.
Multi-cloud – Provides a unified view so a single "Application" budget can span multiple providers.
Forecasting and Guardrails with Cloudaware
To keep spending within planned limits, use Cloudaware to:
Automated Forecasting – Use Cloudaware FinOps to generate trend-based forecasts. Cloudaware calculates the "Run Rate" to show where you will land by the end of the month/quarter.
Budgetary Alerts – Create Cost Policies that trigger notifications when a forecast (not just current spend) exceeds a predefined threshold.
Scenario Modeling – Use CMDB data to identify "What-if" scenarios, such as the cost impact of moving a specific application from one region to another.
Using CMDB to Refine Estimates
FinOps teams leverage Cloudaware CMDB to move beyond simple billing trends and ground their estimates in actual resource configuration data:
Utilization-based Sizing – Before budgeting for new growth, use CMDB inventory and performance metrics to identify underused capacity. This allows you to repurpose existing resources instead of provisioning new, unbudgeted spend.
Lifecycle & Expiration Tracking – Use CMDB attributes to track project timelines and resource "end-of-life" dates. This ensures that resources scheduled for decommissioning are automatically subtracted from long-term forecasts, preventing "padded" or inaccurate budgets.
Pattern-Based Estimation – Group historical cost data by application type or stack complexity found in the CMDB. This allows you to create standardized cost templates for common deployment requests (e.g., "Standard Production Stack"), streamlining the budgeting process for engineering teams.