AI-Driven Self-Healing Infrastructure: The Next Evolution of SRE

Abstract

Site Reliability Engineering (SRE) has evolved from manual incident response to automated workflows, but AI is unlocking the next major shift—self-healing infrastructure. What if failures could be predicted, prevented, and resolved autonomously, without human intervention?

Keynote Overview

In this keynote, I will explore:

• AI-Driven Failure Prediction
  How AI is enabling the prediction, prevention, and resolution of failures in infrastructure.

• Automated Remediation and Self-Adaptive Environments
  The shift from reactive alert-based monitoring to predictive, self-healing reliability engineering.

• Real-World Insights
  Case studies and practical examples of how AI is being applied to reduce Mean Time to Recovery (MTTR) and automate resilience.

• The Implications of AI-Native SRE
  Long-term impacts on engineers and organizations, and how to prepare for this evolution.

As AI continues to transform infrastructure reliability, this talk will outline practical strategies for embracing these advancements and preparing for the next wave of SRE innovation.