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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 gap isn't ignorance — it's the days between reviews where expiries slip and coverage drifts.

This is you if

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 — 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.

dozens of reservations · a few accounts
$105,300estimated annual savings
59×return on Reserver's cost
7 dayspayback period

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.

Objections

Straight answers for growth teams

We already review our reservations every quarter in a spreadsheet — why do we need this?

The quarterly review isn't the problem — the months between reviews are. 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.

$30,000
14 days
Your estimate
$105,300estimated annual savings
7 dayspayback period
59×return on Reserver's cost

A renewal missed by 14 days on one reservation ≈ $951 — a single prevented miss pays for about 6 months of Reserver.

See my real numbers →

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.

Reserved

Stop overpaying for a steady fleet.

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