Sep 9–12, 2019
Skyler Thomas
Chief Architect for Kubernetes, MapR
Skyler Thomas is the chief architect for Kubernetes and a principal engineer at MapR, where he uses Kubernetes-based infrastructure to deliver machine learning and big data applications at scale. Previously, Skyler was a lead architect for WebSphere at IBM, where he worked with hundreds of customers to deliver extreme-scaled applications in various industries, including healthcare and financial services.
Sessions
9:00am–12:30pm Tuesday, September 10, 2019
Location: 231
Secondary topics:
Deep Learning tools,
Machine Learning
Skyler Thomas (MapR)
Average rating:
(4.25, 4 ratings)
The popular open source Kubeflow project is one of the best ways to start doing machine learning and AI on top of Kubernetes. However, Kubeflow is a huge project with dozens of large complex components. Skyler Thomas dives into the Kubeflow components and how they interact with Kubernetes. He explores the machine learning lifecycle from model training to model serving.
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