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From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE)

Some data-intensive workloads are easier to run in Kubernetes than others. Why? What needs to improve? Join us as we deep dive with Adobe and the CNCF about how easy (or not) it is to run different types of data workloads on Kubernetes – and what is being done both inside and outside of Kubernetes to make data workloads easier.

Xing Yang is a Tech Lead in the Cloud Native Storage team at VMware. She is a co-chair of the CNCF TAG Storage, a co-chair of the Kubernetes SIG Storage, a co-chair of the Kubernetes Data Protection WG, and a maintainer in Kubernetes CSI. Before joining VMware, Xing was the Lead Architect of OpenSDS while working for Futurewei. She also worked at Dell EMC for many years and has developed deep expertise in storage, data protection, disaster recovery, cloud, and virtualization technologies.

I find myself working at the intersection of OpenSource, Cloud Native software, SRE, and DevOps. My goal is to help bring a pragmatic opinion and shepherd organizations to stay focused on delivering value to their internal and external customers

The future of data on Kubernetes with Adobe and CNCF (DoK Day EU 2022) // Joseph Sandoval, Xing Yang & Sylvain Kalache 17:29 Share

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The future of data on Kubernetes with Adobe and CNCF (DoK Day EU 2022) // Joseph Sandoval, Xing Yang & Sylvain Kalache