Incident Management and the Rise of AI SRE Agents

The useful part

Over the past year, I've been rebuilding parts of an incident response stack for a client, and the biggest surprise wasn't the AI features themselves. It was how much of the underlying workflow had to change to make those features useful. You can't just bolt an LLM onto a 2015-era ticketing tool and call it AIOps.

How it works

• The queue structure, the alert taxonomy, even the way runbooks are written all need to change.
• I've written before about the agent side of this shift, in AI Agent Architectures:
• Patterns, Applications, and Implementation Guide and Observability and DevTool Platforms for AI Agents.
• This two-part series is the other side of that coin: what happens when you point those same agent patterns at your own production systems instead of at somebody else's AI application.