Growth teams
You review coverage every quarter. The leak happens in between.
A platform or DevOps lead with a finance counterpart, reviewing coverage on a schedule. The real gap sits in the days between reviews, where expiries slip and coverage drifts.
A platform/DevOps lead with a finance counterpart reviewing spend.
- Dozens of reservations spread across a handful of AWS accounts
- Coverage gets reviewed on a schedule, not continuously
- A platform or DevOps lead owns this, with finance watching the number
Where the money leaks
Same size, same three leaks.
The leak
The gap between reviews
Coverage drifts in the weeks after a quarterly review closes. New instances launch, old reservations expire, and nothing catches the difference until the next cycle.
What Reserver does
Continuous coverage, not quarterly. Reserver watches coverage every day, not once a quarter, and flags drift as it happens.
The leak
The renewal that slips a few days
Even disciplined teams miss a renewal date by days here and there, and each slip bills the gap at on-demand rates until someone repurchases.
What Reserver does
Renewal autopilot. Expiring reservations get re-bought on your terms the day the term ends, on a schedule, or the moment it's due, your call.
The leak
The purchasing habit that outlived its logic
A buying pattern gets set early and never gets re-derived from what the fleet actually looks like now.
What Reserver does
Age-based rules. Set a policy ("running longer than N days, uncovered → reserve it") and let it apply itself instead of a habit nobody re-checks.
A renewal missed by 14 days ≈ $951. A single prevented miss pays for about 6 months of Reserver.
A single slipped renewal can outweigh months of what Autopilot costs.
Tracking this by hand runs about 39 hours a year, worth about $3,705 at a fully loaded rate. That's about 2× what Autopilot costs a year.
Objections
Straight answers for growth teams
We already review our reservations every quarter in a spreadsheet: why do we need this?
The real leak sits in the months between quarterly reviews, not in the review itself. The account in the case study below had over a decade of reservation discipline and still leaked real money in exactly that gap. Autopilot closes it continuously instead of every quarter.
How is this different from AWS Cost Explorer's own recommendations?
Cost Explorer gives you a number and leaves you to reconcile it across consoles yourself. Reserver matches every reservation to the instance actually running, shows the coverage map and the gaps, and turns the recommendation into a button, or a rule that acts without you.
What happens if a renewal expiry falls on a weekend?
Renewal autopilot doesn't take weekends off. It re-buys on your terms the day the term ends, with an optional approval step if you want a human in the loop before money moves.
Built for this size
Autopilot: $149 per month, per organization
The same flat price whether you track 10 reservations or 10,000, never a percentage of what you save.
What's it worth
Spend a little. Miss nothing.
Pick your size, or drag the slider to your own AWS compute spend. It's the same conservative math Reserver runs against your account, not a best case.
A renewal missed by 14 days on one reservation ≈ $951. A single prevented miss pays for about 6 months of Reserver.
Carry these numbers to the waitlist →Carries only the totals shown above — never reservation IDs, ARNs, or account details. Nothing leaves your browser until you submit.
Estimates. Actual savings depend on instance class, term, payment option, and how much of your fleet is steady. Reserver shows the exact math for your account.
Stop overpaying for a steady fleet.
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