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Rightsizing

A Reserved Instance is a commitment you cannot take back.

Buy a reservation for an instance that turns out to be idle, and the term still runs its course. Here's what a commitment locks in, per service, and the one caution Reserver attaches before you buy.

7 min read·Guides·

First, the commitment

A reservation on the wrong instance is the most expensive mistake in this workflow.

A Reserved Instance is a bet that an instance keeps running the way it runs today. Get that wrong, and you are not out a few dollars. You are locked into a rate for the full term. On most of the services Reserver covers, you cannot end that term early.

Reserver's own recommendations look at what a fleet is running, not just what it costs on demand. When every instance behind a recommendation has spent its recent history near idle, Reserver says so before you buy.

What "idle" means here

Peak CPU over the window, not average CPU over the window.

An instance that averages low but spikes high is not idle. It is doing real work in short bursts, and a reservation on it still pays off. Reserver checks the peak so a bursty workload is never mistaken for one that is not needed at all.

The check runs over a trailing 14-day window of CloudWatch history, sampled once a day. An instance clears the check the moment even one day in that window shows a real peak. Only a fleet that stayed quiet the entire window gets the caution.

The rule: no signal is not idle

Missing utilization data is never read as low usage.

Reserver samples CPU, network in and out, database connections, and freeable memory, per instance, over the trailing window. A cache engine's own CPU metric stands in for plain CPU where it applies. The caution uses only the CPU signal, and only when it exists.

A recommendation carries the caution only under two conditions. Every contributing instance must have a CPU reading for the window. Every one of those readings must peak below 20%. A connection that has not finished its first scan might have no reading at all. Reserver treats that instance as unknown, not as idle, and the caution does not fire. An absence of evidence is not evidence of an idle fleet.

What it costs

The threshold, the window, and one year of a reservation nobody needed.

The same illustrative reserved rate the savings playbook prices a fleet with, run for a full term. No on-demand saving offsets it.

20%Peak CPU thresholdthe highest CPU point over the trailing window, not the average. Every contributing instance must peak below this for the caution to fire.
14 daysTrailing window sampledthe span of CloudWatch history Reserver checks before it will say a fleet looks idle.
$3,679.20One 1-year term, paid in full, on idle capacitythe reserved rate, billed for the whole term, with no on-demand charge left to offset it.

A reservation on covered, active capacity earns back what it costs. A reservation on capacity that turns out to be idle for the whole term earns back nothing. The rate is the same either way. Only the outcome differs.

How this scales with you

Checking CPU by hand works for a handful of instances, once.

Startup1–10 reservations · one account

A handful of instances is easy to check by eye before buying. The term is long, and the fleet is small, so one bad commitment still stands out on the bill. A caution on the recommendation is worth a second look.

Growthdozens of reservations · a few accounts

Dozens of reservations across a few accounts move past what anyone checks by hand. A caution attached to the recommendation itself catches a low-CPU group the day it's proposed, not after the term has started.

Enterprisehundreds to thousands · many accounts & orgs

Thousands of reservations across many accounts make a manual CPU check impossible before every purchase. A caution shown on the recommendation itself is the only way this scales past a handful of accounts.

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