If you registered for this event, please log in into your QCon Plus account.

PANEL DISCUSSION

Architecting for the Edge

Whether edge means CDN servers, cell towers or user devices, embracing the Edge in applications and services requires different architecture building blocks. We are going to have a discussion on main differences in how one should design and build services when embracing the Edge as part of the system architecture.


Speaker

Jason Shepherd

VP of Ecosystem at ZEDEDA

Jason Shepherd is VP of Ecosystem at edge orchestration company ZEDEDA and the governing board chair of the Linux Foundation’s LF Edge organization. Prior to joining ZEDEDA, Jason was CTO for the Dell Technologies Edge and IoT Solutions Division. His proven track record as a thought leader...

Read more
Find Jason Shepherd at:

Date

Monday Nov 8 / 11:10AM PST (40 minutes)

Track

Living on the Edge

Topics

Edge ComputingDevopsInfrastructureCloud ComputingArchitecture

Add to Calendar

Add to calendar

Share

From the same track

Session Edge Computing

Building Modern Transportation System with KubeEdge, How We Made It

Monday Nov 8 / 08:10AM PST

Transportation is one of the most important industries of edge computing, building a highly distributed, edge-cloud collaborative platform to leverage new applications and services for modern transportation has been a hot topic these years.To deal with massive edge apps & nodes deployment,...

Kevin Wang

Lead of Cloud Native Open Source Team @Huawei

Huan Wei

Chief Architect at HarmonyCloud

Session GraphQL

GraphQL Caching on the Edge

Monday Nov 8 / 09:10AM PST

In January 2018, I was the CTO of a fast-growing startup with a very ready-heavy use case. Our infrastructure couldn't keep up with our load, so our servers were crashing almost daily. At the time, no traditional CDN could cache GraphQL APIs, meaning we had no choice but to...

Max Stoiber

Co-Founder @GraphCDN

Session Edge Computing

Machine Learning at the Edge

Monday Nov 8 / 10:10AM PST

Traditional machine learning pipelines and methods break down in supporting machine learning at the edge; however, the data we get via embedded systems and edge devices is valuable to solve many problems. Rather than taking the traditional approach, we can utilize new distributed data science and...

Katharine Jarmul

Security & Privacy in Machine Learning

View full Schedule

Less than

2

weeks until QCon Plus Nov 2021

Level-up on the emerging software trends and practices you need to know about.

Deep-dive with world-class software leaders at QCon Plus (Nov 1-12, 2021).

Save your spot for $799 before November 12th

Register