Cloud-Native Apache Spark Scheduling with YuniKorn Scheduler
Description
Kubernetes is the most popular container orchestration system that is natively designed for Cloud. At Lyft and Cloudera, we have both emerged the next-generation, cloud-native infrastructure based on Kubernetes, which supports various distributed workloads. We embrace Apache Spark for data engineering and machine learning, and by running Spark on Kubernetes, we are able to exploit compute power promisingly under such highly elastic, scalable and decoupled architecture. We made a lot of effort on enhancing the core resource scheduling, in order to bring high performance, efficient-sharing and multi-tenancy oriented capabilities to Spark jobs. In this talk, we will focus on revealing the architecture of the cloud-native infrastructure; How we leverage YuniKorn – an open-source resource scheduler to redefine the resource scheduling on Cloud. We will introduce how YuniKorn manages quotas, resource sharing, and auto-scaling, and ultimately how to schedule large scale Spark jobs efficiently on Kubernetes in the cloud. About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. R…
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