Incident response is broken. Engineers spend hours chasing alerts across dashboards, rebuilding context from scratch every time something fires. The result is slower resolution, compounding toil, and reliability work that never gets done. This book makes the case for a better model and shows what agentic AI looks like when it is already running in production.

What’s inside?
Five things this book makes clear:

• Why more observability tools made toil worse, not better, and what actually fixes it
• The real cost of the gap between alert and action, and where it bleeds most
• How agentic AI handles investigation and root cause before a human is ever paged
• What trust, governance, and auditability have to look like before AI can act autonomously in production
• What SRE work looks like when the reactive grind is no longer the default