May 2-4, 2018 - Copenhagen, Denmark
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Friday, May 4 • 11:55 - 12:30
Are You Ready to Be Edgy? — Bringing Cloud-Native Applications to the Edge of the Network - Megan O'Keefe & Steve Louie, Cisco (Advanced Skill Level) (Slides Attached)

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More devices means more data, more applications, and more pressure on the cloud to transport, process, and store massive amounts of data. Edge computing aims to mitigate this network bottleneck by offloading intensive compute and storage to many "microdatacenters" at the edge of the network.

In this talk, Megan and Steve explore the state of edge computing and its benefits to users in the areas of lower latency, data privacy, and safety. They outline exciting use cases for edge, including machine learning, virtual/mixed reality, video, transportation, and natural disaster detection. Then, they discuss what makes an application "edge-ready," from storage and network requirements to multitenancy and security. Finally, they demonstrate, using a prototype edge management platform built on top of Kubernetes, the process of deploying an edge application to multiple microdatacenters at once.

Note: This demo and our team’s prototypes in Edge Computing are not part of any official Cisco products.

avatar for Steve Louie

Steve Louie

Software Engineer, Cisco
Steve Louie is a Software Engineer at Cisco responsible for developing distributed systems, focusing on bringing cloud-native methodologies to Cisco. Steve is a Kubernetes contributor, and wants to build a more elegant cloud. Steve holds a Masters degree in Computer Science from... Read More →
avatar for Megan O'Keefe

Megan O'Keefe

Developer Relations Engineer, Google Cloud
Megan O’Keefe is a Developer Relations Engineer at Google Cloud, where they help platform developers build on top of Kubernetes to accelerate app development and reduce toil. A graduate of Wellesley College, Megan began their career at Cisco, where they built edge computing platforms... Read More →

Friday May 4, 2018 11:55 - 12:30 CEST
  Machine Learning & Data, Advanced