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Tuesday, April 21 • 4:15pm - 4:55pm
Graph-based AIOPs at eBay

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In the 25-year-journey of eBay developing and managing large scale software, data and system architecture. It has always been critical to ensuring quality, reliability, and security among a host of other key expected fundamentals of the business products.

Our AI OPs roadmap aims to address the following key challenges:

* "Blindness": limited observability on architectural knowledge or issues

* "Ignorance": Lack of measurability for service architecture, or technical debts

* "Primitiveness": Missing diagnostic, engineering and run-time automation

Graph techniques and algorithms are a critical part of our roadmap - build and evolve sustainable eBay service architecture by providing automated architectural visibility, assessment, and governance of our service ecosystem.

In this talk, we will be sharing our blueprints, thoughts, and existing progress (e.g., [Realtime Graph-based Root Cause Analysis for Cloud-Native Distributed Data Platform](http://www.vldb.org/pvldb/vol12/p1942-wang.pdf), graph-based dependency systems). Our goal here is to share the motivation, concept, design, and values of modeling complicated and evolving infrastructure with key knowledge (which generated from various distributed sources, e.g. ML models) as a graph.


Hanzhang Wang

Applied Researcher, eBay
Hanzhang is an applied researcher at eBay. After earning his Ph.D. from the University of Michigan, he is leading eBay's intelligent infrastructure research - to build and evolve sustainable eBay microservice architecture by providing best of breed automated architectural visibility... Read More →

Tuesday April 21, 2020 4:15pm - 4:55pm EDT
Room 1