This course aims to help participants achieve the following learning outcomes and goals: – Understand the latest advancements and future direction of Kubernetes scheduler. – Learn best practices for extending the Alibaba cloud scheduler to support job-level scheduling. – Gain hands-on experience in building a Scheduling Framework plugin. The course teaches the following individual skills and tools: – Development of Kubernetes Scheduling Framework. – Supporting complex workloads like AI/ML and big data. – Implementing job-level scheduling policies such as Coscheduling/Gang scheduling and Capacity scheduling. The teaching method of the course involves a webinar format delivered in Chinese, featuring presentations by industry experts from Alibaba. The intended audience for this course includes individuals interested in Kubernetes scheduling, cloud computing, AI/ML, big data, and job-level scheduling policies.
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