The Runbook is Dead, the Agent is Alive

What You'll Learn

Runbooks are outdated the moment they're written, impossible to keep in sync with reality, and useless at 3am when systems are failing in ways no one predicted. Modern environments are dynamic, distributed, and noisy. Observability gives us the data, but humans are still expected to manually connect metrics, logs, traces, Kubernetes signals, and infrastructure context under pressure. In this webinar co-hosted by ilert and Netdata, we explore the shift from static runbooks to AI agents that bridge observability and incident response. Instead of documenting 'check X, then Y,' agents actively investigate incidents in real time — querying systems, correlating signals across the stack, forming hypotheses, and taking first actions. The result: fewer blind escalations, faster understanding, and incident response that only involves humans when judgment, decisions, or accountability are actually required.

Key Takeaways

Why static runbooks fail in dynamic, distributed environments

How AI agents bridge the gap between observability data and incident response

Netdata's approach to autonomous monitoring with self-learning AI

ilert's AI-first incident response and automation capabilities

How to move from manual correlation to real-time, agent-driven investigation