Why do 73% of organizations experience outages from alerts they ignored? This episode breaks down the technical shift from reactive thresholds to SLO-driven observability. Learn multi-window burn-rate alerting patterns, AIOps implementations that actually work, and an 8-week migration path to cut alert noise by 80%.
In This Episode:
- The alert fatigue paradox: 2000+ weekly alerts with only 3% actionable
- Technical causes: static thresholds, compound rule blind spots, alert storms
- SLO-driven observability: error budgets and multi-window burn-rate alerting
- AIOps patterns that work: anomaly detection, event correlation, RCA acceleration
- Practical 8-week migration path from threshold alerts to signal-driven ops
Key Statistics:
- 73% of organizations experience outages from ignored alerts (Splunk 2025)
- Teams receive 2000+ alerts weekly, only 3% need immediate action
- 27% of alerts in mid-size companies are simply ignored
- 80% reduction in alert noise achievable with proper SLO-based design
- $5,600/minute cost of unplanned downtime
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Links:
Full show notes: https://platformengineeringplaybook.com/podcasts/00076-alert-fatigue-signal-driven-observability
Contribute: Open a PR on GitHub
