AIOps智能运维学习资料汇总

本文转载自GitHub: https://github.com/linjinjin123/awesome-AIOps

White Paper

• 《企业级 AIOps 实施建议》白皮书

Course and Slides

• Tsinghua-Peidan - AIOps course in Tsinghua.
• 基于机器学习的智能运维

Industry Practice

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• 腾讯运维的AI实践
• AI 时代下腾讯的海量业务智能监控实践
• 织云Metis时间序列异常检测全方位解析
• 腾讯织云Metis智能运维学件平台开源代码

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• 阿里全链路监控方案

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• 百度智能流量监控实战
• 异常检测：百度是这样做的
• Next Generation of DevOps AIOps in Practice @Baidu [video]

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• 搭建大规模高性能的时间序列大数据平台
• Yahoo大规模时列数据异常检测技术及其高性能可伸缩架构
• Netflix: Robust PCA
• LinkedIn: exponential smoothing
• Uber: multivariate non-linear model

Article

• 智能运维|AIOps中的四大金刚都是谁？
• A Comparison of Mapping Approaches for Distributed Cloud Applications
• AIOps探索：基于VAE模型的周期性KPI异常检测方法

Tools and Algorithms

• Tools to Monitor and Visualize Microservices Architecture
• 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
• facebook/prophet, Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
• google/CausalImpact, An R package for causal inference in time series
• 时间序列分析之ARIMA
• 时间序列特征提取库tsfresh
• Awesome Time Series Analysis and Data Mining

Paper

• Survey on Models and Techniques for Root-Cause Analysis
• 基于机器学习的智能运维
• HotSpot: Anomaly Localization for Additive KPIs With Multi-Dimensional Attributes
  • Chinese：清华AIOps新作:蒙特卡洛树搜索定位多维指标异常
• Opprentice: Towards Practical and Automatic Anomaly Detection Through Machine Learning
• Robust and Rapid Clustering of KPIs for Large-Scale Anomaly Detection

Dataset

• Alibaba/clusterdata
• Azure/AzurePublicDataset
• Google/cluster-data
• The Numenta Anomaly Benchmark(NAB)
• Yahoo: A Labeled Anomaly Detection Dataset
• 港中文loghub数据集

Useful WeChat Official Accounts

• 腾讯织云（腾讯的）
• 智能运维前沿（清华裴丹团队的）
• AIOps智能运维（百度的）
• 华为产品可服务能力（华为的）
• 知乎专栏：智能运维(AIOps)

特别申明：该文章转自于 github ，感谢linjinjin123的汇总