awesome-AIOps
AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
https://github.com/linjinjin123/awesome-AIOps
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Article
Course and Slides
- Tsinghua-Peidan - AIOps course in Tsinghua.
- 基于机器学习的智能运维
Dataset
Industry Practice
Paper
- 基于机器学习的智能运维
- Robust and Rapid Clustering of KPIs for Large-Scale Anomaly Detection
- KPI-TSAD: A Time-Series Anomaly Detector for KPI Monitoring in Cloud Applications
- Anomaly Detection Based on Mining Six Local Data Features and BP Neural Network
- Generic and Robust Localization of Multi-Dimensional Root Causes
- Papers from Tsinghua NetMan Lab
- Survey on Models and Techniques for Root-Cause Analysis
- HotSpot: Anomaly Localization for Additive KPIs With Multi-Dimensional Attributes
- Opprentice: Towards Practical and Automatic Anomaly Detection Through Machine Learning
- 清华AIOps新作:蒙特卡洛树搜索定位多维指标异常
Tools and Algorithms
- Tools to Monitor and Visualize Microservices Architecture
- 时间序列分析之ARIMA
- python-fp-growth，挖掘频繁项集
- Anomaly Detection with Twitter in R
- 百度开源时间序列打标工具：Curve
- Microsoft开源时间序列打标工具: TagAnomaly
- Anomaly Detection Examples
- google/CausalImpact, An R package for causal inference in time series
- 时间序列特征提取库tsfresh
- Yahoo EGADS : A Java package to automatically detect anomalies in large scale time-series data
- Awesome Time Series Analysis and Data Mining