Interview › Resume & Behavioral
What is your philosophy on alerting - how do you avoid alert fatigue?
Resume & Behavioral · Intermediate level
Answer
My alerting philosophy is that a page should be urgent, actionable, and tied to user impact or a strong leading indicator of impact. If the same alert fires repeatedly, I treat it as a reliability bug: either the system needs a fix or the alert needs to be tuned, downgraded, enriched, or removed. I prefer SLO burn-rate and symptom-based paging, while lower-level metrics should support dashboards and diagnosis. The goal is to protect responder attention so pages get a serious response.
Technical explanation
Alert fatigue reduces response quality; every page must have an expected human action.
Separate pages from diagnostics: CPU, pod restarts, and memory trends are useful but not always page-worthy.
Alert quality can be measured by page volume, actionable percentage, duplicates, MTTA, MTTR, and engineer feedback.
Hands-on example
1. Pull 30 days of alert history and classify each page as actionable, non-urgent, duplicate, false, or missing runbook.
2. For noisy nightly alerts, correlate with batch jobs, traffic, saturation, and user impact before changing thresholds.
3. Fix real issues at root cause; tune or downgrade non-actionable alerts; add runbook links and dashboard context.
4. Review top noisy alerts monthly and track reduction in pages and repeat incidents.
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