This repository is a comprehensive handbook for AIOps, curating papers, slides, and open-source repositories related to the field. It categorizes resources based on scenarios outlined in the "Enterprise AIOps Implementation Recommendation White Paper," aiming to provide the most recent links for each scenario. The target audience includes engineers, researchers, and practitioners seeking to understand and implement AIOps solutions.

How It Works

The handbook organizes AIOps resources into several key areas: anomaly detection (single and multi-metric), large model applications, log analysis, prediction, capacity planning, event correlation, root cause analysis (RCA), and behavioral anomaly detection. Within each category, it lists relevant research papers, open-source projects, and datasets, often with brief descriptions of their methodologies and contributions.

Quick Start & Requirements

This repository is a curated collection of links and does not have a direct installation or execution command. Users will need to navigate to the linked resources (papers, GitHub repositories, datasets) to utilize them. Prerequisites will vary significantly depending on the specific tool or paper being accessed.

Highlighted Details

• Extensive coverage of anomaly detection techniques, from traditional methods like VAEs and CVAEs to modern LLM-based approaches.
• Detailed sections on log analysis, including various parsing algorithms (Drain, NuLog, UniParser) and LLM applications for log understanding.
• A significant focus on root cause analysis, encompassing trace analysis, graph-based methods, and LLM-driven diagnostics.
• Includes links to numerous datasets and benchmark studies for evaluating AIOps algorithms.

Maintenance & Community

The repository is maintained by chenryn. It serves as a community resource, with many linked projects being actively developed by various research institutions and companies. Specific community channels are not provided for this repository itself, but links to individual project communities (e.g., GitHub discussions, Discord servers) are often available within the linked repositories.

Licensing & Compatibility

The licensing varies greatly as this repository aggregates links to external projects. Users must consult the individual licenses of each linked paper, repository, or dataset for compatibility and usage restrictions.

Limitations & Caveats

The handbook is a collection of pointers and does not provide integrated tools or a unified interface. The rapidly evolving nature of AIOps means some links or information may become outdated. Users are responsible for evaluating the quality and applicability of the linked resources to their specific needs.