Nothing erodes trust in a monitoring tool faster than a false alert at 3 a.m. The team wakes up, checks… and all is well. Repeat a few times and nobody reacts anymore — including the day the outage is real.
The cause is almost always the same: the verdict rests on a single point of view. If the only probe watching your service has a local network glitch, a slow DNS resolution or a momentarily lost route, it concludes « down » — while your users access the service just fine.
The fix is structural: never declare an outage on a single opinion. At Kolosili, a check runs from several checkpoints, and an outage is only confirmed by spatial quorum — at least min(3, n) checkpoints must see the failure. Below that, it's a « measurement error », not an outage.
This distinction is fundamental: a real outage is seen by all checkpoints at roughly the same time; a local error is seen by only one. By requiring agreement between several independent observers, you filter the noise without missing real incidents.
The benefit is twofold. First, your alerts become credible again: when the phone rings, it matters. Second, your SLA reports reflect the reality your users live, not the hiccups of a single probe. Monitoring reliability isn't measured by the number of alerts, but by the accuracy of each one.
See Kolosili on your own services, with your own checkpoints. A 20-minute demo is enough.
