~/talk

Skyline: A Cloud Centric Internet Monitoring Engine

on YouTube 14m
Talkat NSDI '26 · 2026-05-04..05-06· [networking, observability]

speakers

name:Shixian Guo
links:none on file
name:Ziqian Liu
links:none on file
name:Yangyang Bai
links:none on file
name:Yuan Chen
linkedin:yuanchen
name:Kefei Liu
links:none on file
name:Qi Zhang
links:none on file
name:Songlin Liu
links:none on file
name:Yang Lv
links:none on file
name:Jianwei Hu
links:none on file
name:Gen Li
links:none on file
name:Zhenyang Zhong
links:none on file
name:Sisi Wen
links:none on file
name:Yongbin Dong
links:none on file
name:Feng Luo
links:none on file
name:Anjian Chen
links:none on file
name:Rui Han
links:none on file
name:Jiale Feng
links:none on file
name:Lingpei Meng
links:none on file
name:Siwan Chen
links:none on file
name:Hang Li
links:none on file
name:Shuai Xu
links:none on file
name:Juntao Zhong
links:none on file
name:Chaoran Hu
links:none on file
name:Yibo Huang
links:none on file
name:Yiming Qiu
links:none on file

resources

video:https://youtu.be/ynRmrPtrhxw
slides:none on file

summary

Cloud deployment monitors public‑Internet faults with three concrete tools: BiProp uses P4 internet gateways to reply to inbound probes and achieve agentless, 100% cloud‑subnet coverage; FlexPass steers MPLS/segment‑routed probes to measure primary and backup AS paths and detect repairs; Flow Hunter uses optical splitters and passive TCP analysis to surface reset storms and per‑tenant L4–L7 failures. Skyline runs in production two years, flags over 2,000 incidents in 2025, and reports >99% recall and ~97% precision on verified issues.

AI-written summary · about

chapters (8)

  1. 0:00Skyline project intro
  2. 2:02Cloud internet monitoring challenges
  3. 3:25Traffic direction with BiProp
  4. 4:49Incident lifecycle with Flex Pass
  5. 6:55Tenant monitoring with Flow Hunter
  6. 9:04Skyline architecture overview
  7. 9:48Evaluation and deployment results
  8. 13:00Operational lessons and conclusion

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