Kubeflow has seen wide interest from across industries as a technology to automate data science workflows, from data extraction to monitoring models in production. However, Kubeflow is composed of 30+ microservices that need to be deployed, configured, maintained, integrated and independently upgraded whenever there is a new release of one of the components. In this webinar, we walk you through a few of the challenges of operating Kubeflow and how the latest technologies of software operations and lifecycle management can help, namely the most recent model-driven operators.

Hora

18:00 - 19:00 hs GMT+1

Organizador

Ubuntu and Canonical
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