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NetManAIOps · GitHub

NetManAIOps

The public codes and datasets of Tsinghua Netman Lab.
README.md

NetMan AIOps

AIOps Datasets

  1. KPI anomaly detection
  2. Root cause localization for multi-dimensional data
  3. Failure discovery and diagnosis

Please cite our paper of constructing benchmark datasets:

@article{li2022constructing,
  title={Constructing Large-Scale Real-World Benchmark Datasets for AIOps},
  author={Li, Zeyan and Zhao, Nengwen and Zhang, Shenglin and Sun, Yongqian and Chen, Pengfei and Wen, Xidao and Ma, Minghua and Pei, Dan},
  journal={arXiv preprint arXiv:2208.03938},
  year={2022}
}

Open Source Projects

  1. KPI anomaly detection
  1. Log analysis
  1. Trace anomaly detection
  1. Root cause localization

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  1. donut donut Public

    WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

    Python 480 139

  2. TraceAnomaly TraceAnomaly Public

    ISSRE'20: Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks

    Python 282 57

  3. OmniAnomaly OmniAnomaly Public

    KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

    Python 942 231

  4. Squeeze Squeeze Public

    ISSRE 2019: Generic and Robust Localization of Multi-Dimensional Root Cause

    Python 107 21

  5. KPI-Anomaly-Detection KPI-Anomaly-Detection Public

    2018AIOps: The 1st match for AIOps

    104 21

  6. AIOps-Challenge-2020-Data AIOps-Challenge-2020-Data Public

    The published dataset of AIOps Challenge 2020

    77 12

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