awesome-aiops
github.com/opspai/awesome-aiops ↗A curated list of awesome academic researches and industrial materials about Artificial Intelligence for IT Operations (AIOps).
324
GitHub Stars
141
Curated Resources
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23 hours ago
Last Refreshed
ResearchersIndustrial MaterialsAcademic MaterialsPapersDatasetsOthers
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me blogs & tutorials & magazines resources from awesome-aiops"
Installation instructions →What's inside
Industrial Materials
- 2023，可观测性需求将迎来“爆发之年”？Blogs & Tutorials & Magazines
- ADTKTools
- Advancing Azure service quality with artificial intelligence: AIOpsBlogs & Tutorials & Magazines
- Aiops HandbookWhite Papers
- Alibaba AIOps CompetitionCompetitions
- ArthasTools
Academic Materials
Papers
- A Causality Mining and Knowledge Graph Based Method of Root Cause Diagnosis for Performance Anomaly in Cloud ApplicationsKnowledge Graph for AIOps
- Adaptive Performance Anomaly Detection for Online Service Systems via Pattern SketchingAnomaly/Failure Detection
- AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud SystemsDependency and Tracing
- AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and ChallengesSurvey & Empirical Study
- AIOps: Real-World Challenges and Research InnovationsSurvey & Empirical Study
- An empirical investigation of incident triage for online service systemsIncident and Alarm Management
Datasets
Others
Researchers
- Hongyu Zhang
- Michael R. Lyu
Dongmei Zhang , Microsoft
- Odej Kao
- Ryan Huang
Yingnong Dang , Microsoft
- Xin Peng
Showing a sample of 141 resources. View the full list on GitHub →