Context Engineering for Self-Healing AI SRE

Join us for a Complimentary Live Webinar Presented by Komodor

In this webinar, we’ll trace our own reliability journey - from reactive incident chaos to data-driven prevention and, ultimately, AI-powered self-healing. After analyzing over a million real production incidents, we hit the predictability paradox: why repeatable failures still catch teams off guard if most Kubernetes outages follow recognizable patterns that we can systematically address?

We discovered the undeniable truth that in modern sprawling Cloud-Native infrastructures, no two issues are the same, and none exist in isolation. Deterministic approaches break at a certain scale, and AI agents can’t replace humans by executing a simple runbook. We’ll review the 6 main categories of failures, how the same error can have different root causes, why the same fix doesn’t always apply, and how to provide AI agents with the right context to achieve human-level reasoning during RCA.

We’ll conclude with a forward-looking view of AI agents as reliability partners, a short demo, and a set of immediate, actionable steps attendees can take to reduce toil and begin building toward autonomous, self-healing operations.