White Paper

• 《企業級 AIOps 實施建議》白皮書

Course and Slides

• Tsinghua-Peidan - AIOps course in Tsinghua.
• 基於機器學習的智慧運維

Industry Practice

• 騰訊運維的AI實踐
• AI 時代下騰訊的海量業務智慧監控實踐
• 織雲Metis時間序列異常檢測全方位解析
• 騰訊織雲Metis智慧運維學件平臺開原始碼

• 阿里全鏈路監控方案

• 百度智慧流量監控實戰
• 異常檢測：百度是這樣做的
• Next Generation of DevOps AIOps in Practice @Baidu [video]

• 搭建大規模高效能的時間序列大資料平臺
• Yahoo大規模時列資料異常檢測技術及其高效能可伸縮架構
• Netflix: Robust PCA
• LinkedIn: exponential smoothing
• Uber: multivariate non-linear model

Article

• 智慧運維|AIOps中的四大金剛都是誰？
• A Comparison of Mapping Approaches for Distributed Cloud Applications
• AIOps探索：基於VAE模型的週期性KPI異常檢測方法

Tools and Algorithms

• Tools to Monitor and Visualize Microservices Architecture
• python-fp-growth，挖掘頻繁項集
• Anomaly Detection with Twitter in R
• 百度開源時間序列打標工具：Curve
• Microsoft開源時間序列打標工具: 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
• 時間序列分析之ARIMA
• 時間序列特徵提取庫tsfresh
• Awesome Time Series Analysis and Data Mining

Paper

• Survey on Models and Techniques for Root-Cause Analysis
• 基於機器學習的智慧運維
• HotSpot: Anomaly Localization for Additive KPIs With Multi-Dimensional Attributes
  • Chinese：清華AIOps新作:蒙特卡洛樹搜尋定位多維指標異常
• 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資料集

Useful WeChat Official Accounts

• 騰訊織雲（騰訊的）
• 智慧運維前沿（清華裴丹團隊的）
• AIOps智慧運維（百度的）
• 華為產品可服務能力（華為的）
• 知乎專欄：智慧運維(AIOps)

特別申明：該文章轉自於 github ，感謝linjinjin123的彙總