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A list of awesome academic researches and industrial materials about Large Language Model (LLM) and Artificial Intelligence for IT Operations (AIOps).
| Date | Stars |
|---|---|
| 2026-07-31 | 647 |
| 2026-08-01 | 648 |
| 2026-08-06 | 648 |
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# Awesome LLM AIOps
  
A list of awesome academic researches and industrial materials about Large Language Model (LLM) and Artificial Intelligence for IT Operations (AIOps).
## Content
- [Awesome LLM AIOps](#awesome-llm-aiops)
* [Content](#content)
* [Introduction](#introduction)
- [Keywords Convention](#keywords-convention)
* [1. LLM for Incident Management](#1-llm-for-incident-management)
- [1.1 Incident Lifecycle](#11-incident-lifecycle)
- [1.2 Incident Reporting](#12-incident-reporting)
- [1.3 Root Cause Analysis](#13-root-cause-analysis)
- [1.4 Incident Mitigation](#14-incident-mitigation)
- [1.5 Incident Postmortem Analysis](#15-incident-postmortem-analysis)
- [1.6 AIOps Question Answering](#16-aiops-question-answering)
* [2. LLM for Log Analysis](#2-llm-for-log-analysis)
- [2.1 Log Parsing](#21-log-parsing)
- [2.2 Log Anomaly Detection](#22-log-anomaly-detection)
- [2.3 Logging Statement Generation](#23-logging-statement-generation)
* [3. LLM for Infrastructure Management](#3-llm-for-infrastructure-management)
- [3.1 Benchmark](#31-benchmark)
- [3.2 Vision](#32-vision)
- [3.3 Infrastructure-as-Code](#33-infrastructure-as-code)
- [3.4 LLM Training Platform](#34-llm-training-platform)
* [Contribution](#contribution)
+ [Contributing to this paper list](#contributing-to-this-paper-list)
## Introduction
This is a list of awesome academic researches and industrial materials about Large Language Model (LLM) and Artificial Intelligence for IT Operations (AIOps).
#### Keywords Convention
 The abbreviation of the work.
 The utilized LLM techniques used in the work.
 The mainly explored task of the work.
 Other important information of the work.
## 1. LLM for Incident Management
#### 1.0 Survey & Benchmark
1. [**Preprint 2024**] [A Survey of AIOps for Failure Management in the Era of Large Language Models](https://arxiv.org/pdf/2406.11213).
2. [**Preprint 2024**] [AI Assistants for Incident Lifecycle in a Microservice Environment: A Systematic Literature Review](https://arxiv.org/pdf/2410.04334).
3. [**MLSys 2025**] [AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud](https://arxiv.org/pdf/2501.06706).  
4. [**ICML 2025**] [ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks](https://arxiv.org/pdf/2502.05352).  
5. [**ISSRE 2025**] [An Empirical Study of Production Incidents in Generative AI Cloud Services](https://yinfangchen.github.io/assets/pdf/empirical_study.pdf).  
#### 1.1 Incident Management
1. [**HotNets 2023**] [A Holistic View of AI-driven Network Incident Management](https://www.microsoft.com/en-us/research/uploads/prod/2023/09/LLM4IcMs___HotNets__23-6.pdf).  
2. [**SoCC 2024**] [Building AI Agents for Autonomous Clouds: Challenges and Design Principles](https://arxiv.org/pdf/2407.12165). 
3. [**VLDB 2024**] [D-Bot: Database Diagnosis System using Large Language Models](https://arxiv.org/pdf/2312.01454.pdf) [[project](https://github.com/TsinghuaDatabaseGroup/DB-GPT)].  
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Andy Anderson · ibm.com
1
1
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Kim Hammar · Imperial College · United Kingdom
1
Zhenning Yang · University of Michigan
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:00344aa39fbe118c, desc:a list of