AIOps for Distributed Environments - Deep Dive
summary
Linux Foundation AIOps project builds a test harness and demos that run on OpenShift, ingest OpenTelemetry (metrics, traces, logs) into Kafka/OpenSearch, and compare anomaly detectors by injecting faults into a 27‑container hotel demo with locust to measure mean‑time‑to‑detect and F1/precision/recall. Current pipeline uses Isolation Forest anomaly detection, OpenTelemetry + Prometheus + Jaeger telemetry, a GPT‑2 case‑management LLM to surface remediation candidates, and optional agents to execute fixes.
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chapters (9)
- 0:00AIOps introduction
- 3:34AI ops vs MLOps scope
- 6:02AIOps maturity levels
- 10:20Linux Foundation project
- 13:50Research topics and test harness
- 20:10Demo app and ground truth
- 27:32Anomaly detection demo
- 37:30Case management workflow
- 40:44Q&A
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