Library › Book 6 › Metrics and Alerting with Prometheus
Metrics and Alerting with Prometheus
8.1🔒The Role of MetricsMetrics are aggregated numerical measurements over time. Unlike logs (one per event) or traces (one per request), metrics are…
8.2🔒The Three Pillars Compared
8.3🔒Prometheus Metric TypesIn most cases, choose Histogram. It is more flexible and works with Prometheus recording rules and alerts.
8.4🔒Instrumenting Application MetricsUSE Method (for infrastructure): - Utilization: How full is the resource? (CPU %, memory %) - Saturation: How much extra work is queued?…
8.5🔒Multi-Burn-Rate AlertsThe most important advance in alerting: instead of a single threshold, detect both fast-burn (sudden outage) and slow-burn (gradual…
8.6🔒Alert Design Principles1. Alert on symptoms, not causes. "Users are seeing errors" not "CPU is high." 2. Use multi-window, multi-burn-rate alerts. Catch sudden…
8.7🔒Alert FatigueAlert fatigue occurs when on-call engineers receive so many alerts that they begin ignoring them.
8.8🔒Career Translation- Designed and implemented multi-burn-rate SLO alerting with Prometheus and Alertmanager, reducing false-positive page rate by 75% while…
8.9🔒Q&AInterview Depth CheckPrompt: Your team's SLO is 99.9% availability over 30 days, which means a 0.1% error budget. Explain how you would set up multi-burn-rate…