Why Traditional SRE Breaks in Kubernetes Scale

AI-powered SRE isn’t about throwing alerts into an LLM and hoping it magically fixes production. In this conversation from KubeCon + CloudNativeCon in Atlanta, Severin Neumann, Head of Community at Causely, explains why real AI-SRE starts long before an incident ever happens.

Neumann breaks down how teams can shift reliability left, predict failures before rollout, and rely on deterministic causal reasoning instead of correlation-driven LLM guesses. He also explains why many SRE teams burn hours chasing hallucinated remediation paths — and how causal models eliminate that risk.

We also explore Causely’s MCP Server for Kubernetes and how it connects intelligent root-cause detection with developers’ existing workflows, from IDEs to kubectl.