awesome-llm-aiops
github.com/jun-jie-huang/awesome-llm-aiops ↗A list of awesome academic researches and industrial materials about Large Language Model (LLM) and Artificial Intelligence for IT Operations (AIOps).
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1. LLM for Incident Management2. LLM for Log Analysis3. LLM for Infrastructure ManagementContribution
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1. LLM for Incident Management
- AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents
- A Holistic View of AI-driven Network Incident Management
- AI Assistants for Incident Lifecycle in a Microservice Environment: A Systematic Literature Review
- AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud
- An Empirical Study of NetOps Capability of Pre-Trained Large Language Models
- An Empirical Study of Production Incidents in Generative AI Cloud Services
2. LLM for Log Analysis
- A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
- Anomaly Detection on Unstable Logs with GPT Models
- CodeAD: Synthesize Code of Rules for Log-based Anomaly Detection with LLMs
- DivLog: Log Parsing with Prompt Enhanced In-Context Learning
- Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study
- FastLog: An End-to-End Method to Efficiently Generate and Insert Logging Statements
3. LLM for Infrastructure Management
- Automated Bug Discovery in Cloud Infrastructure-as-Code Updates with LLM Agents
- Automated Lifting for Cloud Infrastructure-as-Code Programs
- Cloud Infrastructure Management in the Age of AI Agents
- IaC-Eval: A Code Generation Benchmark for Cloud Infrastructure-as-Code Programs
- LLMPrism: Black-box Performance Diagnosis for Production LLM Training Platforms
- Unearthing Semantic Checks for Cloud Infrastructure-as-Code Programs
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