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NetAssistant: Dialogue Based Network Diagnosis in Data Center Networks

on YouTube 18m
Talkat 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24) · 2024-04-16..04-18· [developer-experience]

speakers

name:Haopei Wang
links:none on file
name:Anubhavnidhi Abhashkumar
links:none on file
name:Changyu Lin
links:none on file
name:Tianrong Zhang
links:none on file
name:Xiaoming Gu
links:none on file
name:Ning Ma
links:none on file
name:Chang Wu
links:none on file
name:Songlin Liu
links:none on file
name:Wei Zhou
links:none on file
name:Yongbin Dong
links:none on file
name:Weirong Jiang
links:none on file
name:Yi Wang
links:none on file

resources

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

summary

NetAssistant is a task‑oriented chatbot deployed in ByteDance data centers for over three years that runs 100+ executable troubleshooting workflows built from atomic functions contributed by network engineers. It connects a dialog engine, a workflow engine and a data engine to fetch alerts or on‑demand metrics, intercepts 50–90% of user diagnosis queries daily, handles hundreds of usages every day, and yields about a 25% on‑call time reduction in production.

AI-written summary · about

chapters (7)

  1. 0:00NetAssistant project
  2. 3:50Three-layer architecture
  3. 8:28Dialogue engine and NLU
  4. 10:36Data engine optimizations
  5. 12:44Live user dialogues
  6. 15:10Deployment results and impact
  7. 16:57Lessons learned and future

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