Latest from Judit

Navigating AI Infrastructure Incidents: Bridging the Critical Gap Between Detection and Response
AI systems can appear healthy while response quality, latency and data freshness deteriorate. Advanced observability tools can detect these issues, but identifying a problem is only half the battle. Engineering teams must close the gap between detection and response with persistent alerts, intelligent routing and automated escalation to reduce downtime and restore output integrity.
Oct 21, 2026 · 3 minAll articles by Judit Sharon
Showing 1–2When Systems Work But No One Wakes Up: The Failure Between Monitoring and Human Response
At 2:07 a.m., a core production node went down. CPU usage spiked, latency ballooned and requests started timing out across the cluster. Monitoring tools caught it instantly as dashboards glowed red, alert rules fired and incident payloads were dutifully sent downstream. Everything functioned exactly as designed. Except no one responded. The alert reached every configured […]