99.99% Uptime Monitoring Cost: The Real Price of Four Nines
August 2026 · Uptimehub
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Monitoring a 99.99% uptime target costs between $99 and $1,246 a month per monitored endpoint on the metered synthetic vendors, and about $29 a month flat for a hundred endpoints on a per-monitor plan. The gap exists because four nines dictates your check interval, and check interval is exactly what metered vendors bill you for. Once the SLO forces you down to 30 second checks from three locations, one endpoint generates 259,200 billable runs a month, and that single number sets almost your entire monitoring bill.
Most teams pick an SLO and a monitoring vendor as two separate decisions. They are not separate. The SLO sets a floor under your check interval, the interval sets your run volume, and run volume is the meter. Choosing 99.99% instead of 99.9% multiplies your monitoring bill by roughly ten on any usage-priced tool, and nobody tells you that when you sign the SLA.
What 99.99% actually allows you
Start with the budget, because everything else falls out of it. Over a 30 day month there are 43,200 minutes, so each availability target leaves you this much downtime:
| Target | Downtime allowed per 30 day month | In seconds |
|---|---|---|
| 99.9% (three nines) | 43.2 minutes | 2,592 s |
| 99.95% | 21.6 minutes | 1,296 s |
| 99.99% (four nines) | 4.32 minutes | 259.2 s |
| 99.999% (five nines) | 25.9 seconds | 25.9 s |
Four nines gives you 4 minutes and 19 seconds of downtime for the entire month. That is the whole budget: every deploy that goes wrong, every certificate that expires, every upstream provider that has a bad afternoon. If you want to understand what that commitment means contractually rather than financially, we cover it in detail on what 99.99% uptime means in hours and minutes. This article is about what it costs to watch.
The interval floor nobody calculates
Here is the step almost everyone skips. If an outage can start at any moment and you check every N seconds, you will not notice it for an average of N/2 seconds, and in the worst case for a full N seconds. That detection delay is downtime you have already spent before anyone has even been paged.
Measured against a 4.32 minute monthly budget, the numbers get uncomfortable fast:
| Check interval | Average detection delay | Share of the monthly budget | Worst case |
|---|---|---|---|
| 5 minutes | 2.5 minutes | 57.9% | 115.7% |
| 2 minutes | 1 minute | 23.1% | 46.3% |
| 60 seconds | 30 seconds | 11.6% | 23.1% |
| 30 seconds | 15 seconds | 5.8% | 11.6% |
| 15 seconds | 7.5 seconds | 2.9% | 5.8% |
Read the top row carefully. On a 5 minute check interval, a single outage that happens to start just after a successful check burns 115.7% of your entire monthly four nines budget before your monitoring makes a sound. You have breached the SLO through detection latency alone, with a system that was only down for five minutes.
That is why 5 minute checks and a 99.99% commitment are incompatible, and it is an arithmetic fact rather than a matter of taste. In practice 60 seconds is the slowest defensible interval for four nines, and 30 seconds is where most teams land, because it keeps detection at under 6% of budget and leaves room for the retry that stops a single blip paging anyone. If you want to model your own numbers, the error budget calculator does the burn rate arithmetic for any target and window.
What that interval costs on a metered vendor
Now multiply. A monitor checked every 30 seconds from three locations runs 259,200 times in a 30 day month. Metered vendors bill per run, so that figure is the bill. These are per-run rates verified on each vendor's own pricing page, with base subscription fees and included run allowances applied:
| Vendor | 1 endpoint, 5 min, 3 locations | 1 endpoint, 60 s, 3 locations | 1 endpoint, 30 s, 3 locations |
|---|---|---|---|
| Grafana Cloud Pro | $19.00 | $33.80 | $98.60 |
| Checkly Team | $64.00 | $71.40 | $103.80 |
| Datadog Synthetics | $12.96 | $64.80 | $129.60 |
| Dynatrace | $25.92 | $129.60 | $259.20 |
| AWS CloudWatch Synthetics | $30.98 | $155.40 | $310.92 |
| New Relic (non-ping) | $79.60 | $598.00 | $1,246.00 |
| Uptimehub Pro | $29.00 | $29.00 | $29.00 |
Every metered column is for one endpoint. The Uptimehub column is for a hundred, because a flat per-monitor plan does not care how often the checks run. That is the structural difference, and at four nines it is the whole story: moving from 5 minute to 30 second checks multiplies a Datadog bill by ten and a New Relic bill by fifteen, and does not move a flat plan at all.
Now put a real estate on it
One endpoint is not a system. A modest production service has a marketing site, an app, an API, a couple of critical endpoints behind it, a payment webhook, a login flow and a few third party dependencies worth watching. Call it ten monitors, still at 30 seconds from three locations. That is 2,592,000 runs a month:
| Vendor | 10 endpoints, 30 s, 3 locations | Per year |
|---|---|---|
| Checkly Team | $687.00 | $8,244 |
| Grafana Cloud Pro | $1,265.00 | $15,180 |
| Datadog Synthetics | $1,296.00 | $15,552 |
| Dynatrace | $2,592.00 | $31,104 |
| AWS CloudWatch Synthetics | $3,110.28 | $37,323 |
| New Relic (non-ping) | $12,910.00 | $154,920 |
| Uptimehub Pro | $29.00 | $348 |
Those are not typos. Committing to four nines on a metered synthetic platform, for ten endpoints, costs between eight thousand and a hundred and fifty thousand dollars a year in check runs alone, before a single engineer looks at a dashboard. The same requirement on a per-monitor plan is a few hundred dollars, because the meter is the monitor rather than the run.
Three things that quietly multiply the bill
Locations multiply, they do not add. Every location is a full set of runs. Going from three probe locations to six doubles a metered bill exactly. Teams add locations to reduce false positives, which is correct engineering and expensive billing.
Retries usually count. Most vendors bill a confirmation retry as a run. A flapping endpoint therefore costs more precisely when it is behaving worst, which is the opposite of what you want from a budget.
Alert volume can have its own price tier. Some vendors meter SMS and paging separately, and it can dominate. Pingdom bundles SMS allowance into the same tier as your check count, so raising your alert volume alone can multiply the subscription without adding a single monitor; we worked the whole ladder out in the Pingdom pricing breakdown. Whatever tool you use, four nines means more pages at unsociable hours, so it is worth having something that routes each alert to the person who actually owns that service rather than waking the whole rota, because the cost of four nines is paid in human attention as well as in dollars.
So what should you actually do
Decide the SLO first, then read the interval off the arithmetic, then price the vendors at that interval rather than at their headline. Vendors quote 5 minute examples because 5 minutes is cheap, and a 99.99% commitment makes 5 minutes unusable. Pricing a metered tool at the interval you will actually run is the single most useful thing you can do before signing.
And be honest about whether you need four nines at all. Three nines gives you 43.2 minutes a month and comfortably tolerates 60 second checks, which is a tenth of the run volume and, on a metered vendor, roughly a tenth of the bill. Plenty of businesses promise 99.9% because it is what they can actually deliver, and spend the difference on redundancy that prevents outages rather than on watching for them faster.
What check interval do I need for a 99.99% SLA?
Thirty to sixty seconds. At 60 seconds, average detection delay is 30 seconds, which is 11.6% of the 4.32 minute monthly budget. At 30 seconds it is 5.8%. Anything slower than 60 seconds spends too much of the budget on noticing: a 5 minute interval can consume 115.7% of a four nines month in detection delay alone.
How much downtime is 99.99% uptime per month?
4 minutes and 19 seconds per 30 day month, or 4.32 minutes. Per year that is 52.6 minutes. Per week it is about 1 minute. That budget has to cover deploys, dependency failures, certificate expiries and infrastructure incidents combined, which is why four nines usually requires redundancy rather than just careful operations.
Why is synthetic monitoring so expensive at high SLOs?
Because metered vendors bill per check run, and a higher SLO forces a faster check interval. Going from 5 minute to 30 second checks is a tenfold increase in runs and therefore a roughly tenfold increase in the bill for identical coverage. The SLO, not the number of endpoints, is usually the largest single input to a synthetic monitoring invoice.
Is flat-rate or per-run monitoring cheaper for 99.99%?
Flat rate, by a wide margin, at any interval faster than about 5 minutes. Per-run pricing is genuinely cheaper for infrequent checks: one endpoint checked hourly costs well under a dollar a month on Datadog. The crossover arrives quickly, and by 30 second checks a metered bill for a single endpoint exceeds a flat plan covering a hundred. We compare the models side by side in the uptime monitoring pricing comparison and price the metered vendors in detail on synthetic monitoring pricing.
Does adding more probe locations cost more?
On metered vendors, yes, and linearly: each location runs the full check schedule, so six locations cost exactly twice what three cost. On AWS it is worse than linear, because CloudWatch prices canary runs by region, with Ireland 17% and Singapore 42% above the us-east-1 rate. Flat per-monitor plans that include multi-region checking do not charge for locations at all.
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