SRE and DevOps teams are drowning in alerts, dashboards, and war rooms—while incidents keep getting more complex. Traditional monitoring and runbooks can’t keep up with the scale of modern cloud, multi-cloud and even hybrid-cloud environments. That’s where the new wave of AI for SRE comes in—not as another dashboard, but as an always-on investigation partner.

In this session, we’ll explore how AI-driven incident response and “agentic” automation are changing the way teams detect, diagnose, and resolve issues across AWS and multi-cloud stacks. We’ll walk through real-world patterns for using AI to correlate signals across observability, change, and topology data, reduce alert noise, surface likely root cause, and even safely automate fixes—without handing over the keys to a black box.

Key Takeaways:

How AI for SRE has evolved beyond chatbots and generic copilots

Practical use cases where AI dramatically cuts MTTR and 3 AM pages

Patterns for keeping humans-in-the-loop while automating repetitive tasks

Live demo of what a modern AI-assisted incident lifecycle looks like in practice