A useful cloud forecast starts with actual billing data. Separate compute, storage, networking, managed services, observability and support charges, then connect each category to product usage and business growth. A single monthly total can hide the workloads that are driving change.
This estimator applies a constant annual growth assumption to a monthly baseline. Real bills can move nonlinearly due to traffic, data retention, architecture choices, discounts, reserved capacity, provider price changes and one-time migrations. Use the result as a scenario, not a budget commitment.
Look for spend that grows faster than active usage or customer value. Review idle environments, oversized resources, data transfer, duplicated logs, retention policies and commitments that no longer fit workload patterns. Cost changes should be balanced against reliability and engineering time.
A credible optimization plan assigns owners and tracks both dollars and service outcomes. Baseline the current bill, measure the impact of each change, and avoid trading away availability or security for a small short-term saving.