Devoxx UK 2019
from Wednesday 8 May to Friday 10 May 2019.
Arun Gupta is a Principal Technologist at Amazon Web Services. He is responsible for the Cloud Native Computing Foundation (CNCF) strategy within AWS, and participates at CNCF Board and technical meetings actively. He works with different teams at Amazon to help define their open source strategy. He has built and led developer communities for several years. He has extensive speaking experience in 40+ countries on myriad topics. Gupta also founded the Devoxx4Kids chapter in the US and continues to promote technology education among children. A prolific blogger, author of several books, an avid runner, a globe trotter, a Docker Captain, a Java Champion, a JUG leader, he is easily accessible at @arungupta.
Kubernetes provides isolation, auto-scaling, load balancing, flexibility and GPU support. These features are critical to run computationally and data intensive and hard to parallelize machine learning models. Declarative syntax of Kubernetes deployment descriptors make it easy for non-operationally focused engineers to easily train machine learning models on Kubernetes. This talk will explain why and how Kubernetes is well suited for training and running your machine learning models in production. Specifically it will show how to setup a variety of open source machine learning frameworks such as TensorFlow, Apache MXNet and Pytorch on a Kubernetes cluster. The attendees will learn training, massaging and inference phases of setting up a Machine Learning framework on Kubernetes. Attendees will leave with a GitHub repo of fully working samples.
Summer 2018 was very exciting when I went on a trek to one of the seven wonders of the world - Machu Picchu in Peru. Trekking 26 miles between 9k - 13k ft elevation for 4 days, eating exotic food, seeing all different weather, waking up at 3am, and being with friends that I’ve known for 20-+ years. It was an absolute blast!
Attend this talk to learn about my journey to Machu Picchu and how you can do it too!