linjinjin123/awesome-AIOps resource
AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2959
- days_rel: n/a
- days_push: 828
- n_releases_24m: 0
Adoption not part of the score
1750 stars · 382 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated awesome-list of AIOps (Artificial Intelligence for IT Operations) learning resources, including white papers, courses, industry practices, papers, tools, and datasets. It aggregates materials on anomaly detection, root-cause analysis, time-series analysis, and alarm reduction from companies like Tencent, Alibaba, Baidu, and Netflix.
Use cases
- find learning materials for AIOps
- learn anomaly detection for time-series monitoring
- research root-cause analysis techniques
- find datasets for intelligent operations research
- discover industry AIOps case studies
- get started with machine learning for IT operations
When to choose
- you want a curated starting point for AIOps learning
- you need papers, courses, and datasets on anomaly detection or root-cause analysis
- you want industry case studies from major tech companies
When to avoid
- you need production-ready AIOps software rather than a resource list
- you need a maintained tool or library with a code license
Facets
learning-resource · maturity active
machine-learning monitoring analytics artificial-intelligence machine-learning monitoring awesome-lists cross-platform aiops awesome-list anomaly-detection root-cause-analysis time-series alarm-reduction curated-resources devops
1 source
- readme: https://github.com/linjinjin123/awesome-AIOps · fetched 2026-08-28 · 3b641ad68be9
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| linjinjin123/awesome-AIOps | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="linjinjin123/awesome-AIOps")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem