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AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star
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awesome-AIOps
Awesome AIOps
White Paper
Course and Slides
Industry Practice
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Tools and Algorithms
Paper
Dataset
Useful WeChat Official Accounts
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
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
阿里全链路监控方案
阿里开源4000台服务器真实数据集
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]
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
Yahoo EGADS : A Java package to automatically detect anomalies in large scale time-series data
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
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
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
2018 AIOPS挑战赛预赛测试集
2018 AIOPS挑战赛预赛训练集
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)
Open Source Agenda is not affiliated with "Awesome AIOps" Project. README Source:
linjinjin123/awesome-AIOps
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3 years ago
Repository
linjinjin123/awesome-AIOps
Tags
Aiops
Alarm Reduction
Anomaly Detection
Deep Learning
Machine Learning
Root Cause Analysis
Time Series Analysis
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