Interactive tool
What could your Azure bill actually be?
Six levers, ordered by effort. Adjust your spend and select what applies to see an indicative range — then read exactly how each number is derived.
Your average invoice over the last three months is a better input than last month alone.
Indicative range
$3,848 – $6,750
estimated monthly reduction
- Annualized
- $46,179 – $81,000
- Levers selected
- 6 of 6
This is an indicative estimate, not a quote. Ranges are damped where levers overlap and capped at what a real engagement can plausibly reach — your actual position depends entirely on how your environment is built.
No Microsoft pricing is used in this calculation. Estimates apply percentage ranges to the spend you enter, so nothing here goes stale when Microsoft changes rates.
Method
How each lever is calculated
Published in full, because an estimate you cannot audit is a marketing number. Each lever applies a saving range to the share of spend it can plausibly affect.
| Lever | Share of spend affected | Saving on that share | Effort |
|---|---|---|---|
| Orphaned resources | 8% | 60–95% | Low · Days |
| Non-production always-on | 20% | 40–65% | Low · Days |
| Over-provisioned compute | 35% | 15–35% | Medium · Weeks |
| Storage tiering | 12% | 30–60% | Low · Days |
| Azure Hybrid Benefit | 30% | 20–40% | Low · Days |
| Reservations & savings plans | 45% | 20–40% | Medium · Weeks |
Selecting several levers damps the combined total, because they overlap — rightsizing a machine reduces what a reservation can save on it, and Hybrid Benefit applies to the same compute. The result is also capped at 45% of total spend, which is the upper bound of what we would expect a genuine engagement to reach.
FAQ
Common questions
How accurate is this estimate?
It is indicative, not a quote. The ranges are conservative and damped where levers overlap, but your actual position depends entirely on how your environment is built. A real assessment reads your consumption data rather than applying averages.
Why does the tool not use Microsoft's actual prices?
Because they change constantly and vary by region and agreement. A calculator built on hardcoded rates is wrong within months. Applying percentage ranges to the spend you enter stays valid regardless of what Microsoft does to its rate card.
Which lever should we start with?
The low-effort ones, in order: delete orphaned resources, shut down non-production outside working hours, and correct storage tiers. All three are visible on the next invoice and carry essentially no risk.
Why should rightsizing come before reservations?
Because a reservation bought against an over-provisioned VM locks in that waste for the full term. Rightsize first, establish the durable baseline, then commit against it.
Do savings like this persist?
Only with a review cadence. A one-off optimization exercise decays as new resources are created. Budgets with alerts, tag enforcement, and a monthly review with named subscription owners are what keep the bill flat.
Turn the estimate into a real number.
An assessment reads your actual consumption data and produces a prioritized plan with the savings evidenced per resource — not a percentage applied to an average.