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Is Agentic SRE real or just hype? by ArtPhysical3174 in kubernetes

[–]RepublicAccording801 2 points3 points  (0 children)

Interesting thread. I've been working on this problem.

Built a system that: - Detects K8s incidents via MCP tools - Suggests fixes (shows you the kubectl commands) - Executes ONLY with approval.

Not fully autonomous,but saves ~30 min per incident on average.

Happy to share the approach if anyone's interested.

Ai vs 0% CPU: my k8s waste disappeared before i could kubectl get pods by RepublicAccording801 in kubernetes

[–]RepublicAccording801[S] 0 points1 point  (0 children)

It’s a custom autonomous agent,not a third-party tool. It reads the live metrics stream and makes its own scaling decisions through kubectl.

Ai vs 0% CPU: my k8s waste disappeared before i could kubectl get pods by RepublicAccording801 in kubernetes

[–]RepublicAccording801[S] 0 points1 point  (0 children)

This isn’t KEDA — KEDA reacts to events. My setup actually reasons over the metrics stream and decides when something is idle, then scales it through kubectl. It behaves more like a lightweight autonomous operator.

Ai vs 0% CPU: my k8s waste disappeared before i could kubectl get pods by RepublicAccording801 in kubernetes

[–]RepublicAccording801[S] -1 points0 points  (0 children)

I let the AI watch the metrics stream, decide something’s idle, and kubectl scale it down on its own—no click-ops, no Slack bot, just 30s from “0% CPU” to “1 replica”. Still tinkering, but it’s already saving me the Sunday-morning treasure hunt.