Alert silencing versus alert inhibition

WHAT THIS TESTS This probes whether you understand alert-routing mechanics and how to keep on-call signal high without dropping real incidents. It separates engineers who configure tooling deliberately from those who mute pagers reactively.

A GOOD ANSWER COVERS Silencing is a manual, operator-initiated mute scoped by label matchers and bounded by an explicit expiry; you use it during known maintenance or a noisy deploy window. Inhibition is rule-driven and automatic: when a source alert fires (say, an entire cluster is down), it suppresses target alerts that are merely downstream symptoms (per-node alerts), based on matching labels. The key distinction is intent and lifetime: silencing is temporary and human-chosen, inhibition is structural and dependency-aware.

COMMON WRONG ANSWERS Saying they are the same thing, or that inhibition is just permanent silencing. Another miss is recommending broad silences with no expiry, which hides future real failures.

LIKELY FOLLOW-UPS How do you prevent a forgotten silence from masking a real outage? How do inhibition rules avoid suppressing an unrelated alert that happens to share labels? How would you audit who silenced what?

ONE CONCRETE EXAMPLE A regional outage triggers one HighSeverity ClusterDown alert. An inhibition rule suppresses dozens of NodeUnreachable and HighLatency alerts in that region so responders see one actionable page instead of a flood. Separately, before a planned database migration you set a two-hour silence matching the DB job label so the expected blip does not page anyone, and it auto-expires afterward. Choosing inhibition for the cascade and silencing for the planned window keeps the queue clean while preserving genuine signal everywhere else.