Best for
- Bills that grew 40% while traffic grew 10%
- Startups burning runway on default-sized everything
- Making cost a monthly habit instead of an annual panic
What you give it
- Billing exports and infrastructure configuration, read-only
- Context on what must stay fast or redundant regardless of cost
What you get back
- Spend mapped to services and features, so the bill finally has names on it
- Savings ranked by money x safety: the free wins, the easy wins, the trade-offs
- Changes executed where you approve them, each verified against performance after
How it works
- Maps the bill to reality: every line item attributed to a service, environment and feature — the unattributable lines are findings in themselves.
- Hunts the classic waste: idle and orphaned resources, oversized defaults, premium tiers for cold data, always-on environments used two hours a day.
- Ranks savings by money saved x risk of regret, with the trade-off stated per item.
- Executes approved changes in safe order, verifying performance and function after each.
- Sets up the habit: tagging, budgets, anomaly alerts, and a monthly review that takes minutes.
Example
You: Our monthly cloud bill doubled in a year. Find out why and what to do.
Result: The map: 31% of spend is a staging environment running production-sized around the clock; 18% is storage nobody has read in a year on the premium tier; 12% is an orphaned database from a cancelled project. Ranked plan: four no-risk cuts (saving 38%), three sizing changes with their performance trade-offs stated, one deliberate keep with the reason recorded.
Limits — please read
- Read access to billing and configuration is required; it proposes before it touches anything.
- Savings with resilience costs (less redundancy, slower recovery) are decisions it presents, never makes.
- Committed-use and reserved pricing involve forecasts; it models scenarios, you choose the bet.