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 New episodes drop weekly. Subscribe to stay current on platform engineering. Links:Full show notes: https://platformengineeringplaybook.com/podcasts/00076-alert-fatigue-signal-driven-observabilityContribute: Open a PR on GitHub