aiops
3 posts — newest first.
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Anomaly Detection for SREs: Thresholds, Baselines, and Where the LLM Belongs
Static thresholds fire every night or never. Rolling baselines learn the outage. A seasonal robust baseline fixes both; the LLM belongs after the detector.
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Your AI agent can't tell a quiet system from a broken collector
Autonomous remediation gates on model confidence and never on whether the telemetry is trustworthy. Telemetry integrity belongs in the gate too.
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The AI-native SRE stack — a 2026 reference guide
A practitioner's map of the AI-native SRE stack in 2026: six layers from telemetry to bounded remediation, and an honest read on where AI pays off.