Why it matters
Reliability matters because teams need a precise shared meaning for the consistency with which a service meets its expected behavior over time. 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, the consistency with which a service meets its expected behavior over time 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 reliability 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 quarter with fewer customer-facing incidents. When observed behavior stops matching the definition of reliability, the team treats that change as a reliability event with a clear owner and next step.
Common misconception
Reliability is only uptime marketing
That reading usually collapses distinct ideas into one slogan. Keep reliability tied to observable behavior so the definition stays useful under pressure.
How Fajita handles this
Reliability includes detection, recovery, and communication quality, not only green checks.