Seattle, WA
December 10–13, 2018
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Thursday, December 13 • 10:50am - 11:25am
How to Build Deep Learning Inference Through Knative Serverless Framework - Huamin Chen & Yehuda Sadeh-Weinraub, Red Hat

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Knative, a Kubernetes native serverless frame, was just made public. Although Knative is powerful and flexible, very little is known about how to integrate, use, and extend it.

In this talk, we present a deep learning inference demo to walk through Knative end-to-end.

Specially, we explain the following concepts and process:
- How to extend Knative Eventing by showing a new Knative Eventing Source: Ceph Rados Gateway (RGW) PubSub.
- Knative Serving concepts, such as route and configuration. We illustrate these concepts by providing a Knative route that is able to invoked by RGW PubSub event and trigger a deep learning inference task.
- Knative build concepts, such as build and buildtemplate. We substantiate these concepts by a real-world source to image pipeline that builds the deep learning task.

avatar for Huamin Chen

Huamin Chen

Senior Principal Software Engineer, Red Hat
Dr. Huamin Chen is a passionate developer at Red Hat' CTO office. He is one of the founding member of Kubernetes SIG Storage, member of Ceph, Knative, and Rook. He previously spoke at KubeCon, OpenStack Summits, and other technical conferences.
avatar for Yehuda Sadeh-Weinraub

Yehuda Sadeh-Weinraub

Senior Principal Software Engineer, Red Hat
Yehuda is a senior principal software engineer at Red Hat, and has been working on the Ceph project for over 10 years.

Thursday December 13, 2018 10:50am - 11:25am PST
Tahoma 1/2 @ TCC The Conference Center (TCC) - Separate from WSCC building