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Wednesday May 22, 2019 14:50 - 15:25 CEST
Kubernetes started as a general purpose orchestration framework with a focus on serving jobs. But as it gains popularity, users want to run high performance workloads on Kubernetes, such as Spark, TensorFlow, etc. When running these workloads in Kubernetes, several advanced capability are required, e.g. fair-share sharing, queue, job management (suspend/resume), data management. This Intro will present the work in community to bring "batch" capability.
Speakers
avatar for Klaus Ma

Klaus Ma

Architect, @huawei-cloudnative
Team leader, system architect, designer, software developer with 10+ years of experience across a variety of industries and technology bases, including cloud computing, machine learning, bigdata and financial services.Founder of Volcano & kube-batch, Kubernetes SIG-Scheduling Emeritus... Read More →
avatar for Kevin Wang

Kevin Wang

Lead of Cloud Native Open Source Team, Huawei
Kevin Wang has been an outstanding contributor in the CNCF community since its beginning and is the leader of the cloud native open source team at Huawei. Kevin has contributed critical enhancements to Kubernetes, led the incubation of the KubeEdge, Volcano, Karmada projects in CNCF... Read More →
Wednesday May 22, 2019 14:50 - 15:25 CEST
Hall 8.0 E1
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