Your app can be 100% “up” while your business is broken
Your server is responding.
Your homepage loads.
Your uptime monitor is green.
And yet your checkout stopped working.
Or a Stripe webhook is failing.
Or a critical API response changed.
Or a deployment broke something that customers actually need.
Technically, everything looks fine. Financially, something is broken.
That's the problem I'm trying to solve with Nexus Guard.
I'm not trying to replace simple uptime monitoring. I'm interested in the layer above it:
“Is my business actually functioning the way it should?”
One thing I'm still validating:
How do you catch these failures without creating so many alerts that founders eventually ignore them?
If you run a SaaS or online business — what could silently stop making you money while your uptime monitor still shows green?
The way out of alert fatigue is to stop alerting on causes. Every failure you listed, broken checkout, dead webhook, changed API response, shows up as the same symptom: money stopped moving. One check comparing revenue or signups in the last hour against what that hour of the week normally does catches all of them with a single alert, and it does not care which one broke. The synthetic checks on checkout and webhooks then stop being alerts and become what you open after it fires, to find out why. Causes are where the noise comes from, because there are always more of them than you can list in advance.
The one that bit me ran the other direction. The monitor was the failure. My health check route was reading 59,397 rows on every call and the sitemap route 5,473, neither of them cached, so the two endpoints no human ever opens were costing more than all the real page views put together. The free database tier was on track to run dry and take the site down, and uptime stayed green the whole time because the check itself was the load.
Two things I would watch that a pinger cannot see. First, what a route costs to run, not just whether it answers. Second, paid events in the last 24 hours sitting at zero when zero is not normal for that day of the week. The second one is the only alert I would let wake me up, because it fires on money instead of on symptoms, and it stays quiet on the days nothing is wrong.
Does Nexus Guard look at what a check costs to run, or only at whether it comes back?
The uptime/business distinction is a useful framing. I’d start with a small set of revenue-path synthetic checks—checkout completion, webhook-to-entitlement, and a test renewal—then attach alerts to state changes rather than every failed probe. Tracking which checks correlate with real incidents should help tune noise before expanding coverage.
The distinction between a green uptime monitor and a failed Stripe webhook is useful. I would start with a small set of revenue-critical journeys, such as checkout and renewal, and run them on a slower schedule than health checks. How will you handle failures caused by a customer’s own configuration so the alert stays actionable?
The alert-fatigue problem may determine the product. How are you deciding which business failures are important enough to interrupt a founder?