Why it matters
False positive matters because teams need a precise shared meaning for an alert or incident that fired when the service was actually fine. Vague language turns incidents into arguments about words instead of fixes.
When everyone uses the same definition, alerts, status updates, and post-incident reviews stay aligned.
How it works
In practice, an alert or incident that fired when the service was actually fine shows up as a concrete signal you can measure or communicate. Operators define what good looks like, watch for deviations, and record what happened when expectations break.
The useful version of false positive is operational: it changes who gets notified, what customers see, or which metric a team reviews after an incident.
Practical example
Imagine a team operating around a regional blip that looked like downtime. When observed behavior stops matching the definition of false positive, the team treats that change as a reliability event with a clear owner and next step.
Common misconception
False positives mean monitoring is useless
That reading usually collapses distinct ideas into one slogan. Keep false positive tied to observable behavior so the definition stays useful under pressure.
How Fajita handles this
Verification and retries reduce false positives without ignoring real outages.