Introducing Volcano : A Kubernetes Native Batch System for High Performance Workload
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.
Kubernetes Maintainer, SIG-Scheduling Co-Leader, Volcano leader. Jilin University master’s degree, majoring in grid computing and distributed system. After graduation, he focus on resource management, resource scheduling in distributed system.
Zefeng(Kevin) Wang is a Principal Engineer of the PaaS Team at Huawei. Currently working on Kubernetes, KubeEdge and Huawei Cloud container products. He is the lead of Huawei Kubernetes & Cloud Native open source team and co-founder of KubeEdge project.