July 17-19 | Tokyo, Japan
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Friday, July 19 • 16:00 - 16:40
Building a Scalable Data Science & Machine Learning Cloud Using Kubernetes -Murali Paluru, Rancher Labs, Inc.

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Tagline: A real-life story of architecting & building a cloud-native data science platform using Kubernetes.

A growing team of data scientists was looking for a simple, flexible, scalable and a secure way of migrating to the cloud as the on-prem data center started becoming a bottleneck. Kubernetes, which enables applications to run on a variety of private and public clouds, along with an ever-growing feature set, matched most of the team's requirements.

In this talk, Murali Paluru, who had the opportunity to work with the Data Scientists team, will share the gathered requirements, architecture and in-depth details of the Data Science platform built on top of Kubernetes. He will also demo a one-click solution that he has developed, to hide away the complexity of Kubernetes and enable the Data Scientists to focus on analyzing the data instead of managing the underlying infrastructure.

avatar for Murali Paluru

Murali Paluru

Principal Software Engineer, Rancher Labs, Inc.
Murali Paluru, Principal Software Engineer at Rancher Labs, Inc, started his career in networking in the mid 2000s and after working on various products lines at different companies, he is currently developing solutions involving containers and Kubernetes. Some of his past projects... Read More →

Friday July 19, 2019 16:00 - 16:40 JST
Hall A (3) (Floor 5F)