LLM for AIOps Guide

Overview

A curated collection of research on applying LLMs to IT Operations (AIOps) — log analysis, anomaly detection, incident management, root cause analysis, and automated remediation. Tracks how foundation models are transforming traditional rule-based operations tooling into intelligent, adaptive systems. Relevant for CS researchers at the intersection of systems, NLP, and operations.

Research Areas

LLM for AIOps
├── Log Analysis
│   ├── Log parsing (template extraction)
│   ├── Anomaly detection (from log sequences)
│   ├── Log summarization
│   └── Root cause from logs
├── Incident Management
│   ├── Incident triage and routing
│   ├── Severity classification
│   ├── Similar incident retrieval