SAS® Workload Management

Go beyond Kubernetes – simplify your analytic workload management on SAS® Viya®.

Get the most out of your cloud infrastructure spending while ensuring the best experience across your entire analytics platform.

Balance cost with agility.

Optimize Kubernetes compute resources through resource-based load balancing and job prioritization. With SAS Workload Management, you can define priorities for different types of workloads, ensuring that the most important work gets done first – and without interrupting interactive sessions.​

Improve throughput, availability and productivity.

SAS Workload Management lets you maximize workload processing efficiency, delivering greater throughput through parallel job processing. Your data scientists spend less time waiting for failed jobs to restart, so they can stay focused on producing the best models.

Simplify administration.

SAS Workload Management is powerful, yet easy to use. A graphical interface lets you centrally manage policies, programs, queues and priorities of SAS jobs running on Kubernetes. With centralized management of all resources, administrators spend less time learning new tools and bouncing between different applications for analytic workloads.

KEY FEATURES

Extending the power of Kubernetes by optimizing and prioritizing SAS workloads within a Kubernetes cluster.

Ability to optimize & prioritize analytic compute on Kubernetes

Delivers enterprise-class dynamic workload balancing for users and applications, including rule-based job queues and automatic management of SAS containers on Kubernetes.

Expanded high availability

Includes high availability for analytic workloads, including detection and restart of preempted jobs within the already highly available Kubernetes infrastructure.

Improved performance of analytic workloads

Processes analytics jobs faster by assigning jobs to the right job queue. Identifies serialized workloads that can be separated and processed in parallel.

Real-time monitoring & administration

Provides a web-based tool for monitoring and managing resources, users and jobs. Serves as an interface for configuring and managing high-availability services and defining alerts when thresholds are exceeded.​

Runs on your cloud provider's Kubernetes cluster​

Lets you manage a wide variety of SAS and open source jobs running on Kubernetes. Choose from leading cloud providers like Azure, AWS and Google, or run on-site with Red Hat OpenShift.

ОБЛАЧНЫЕ ПРОВАЙДЕРЫ

Решайте весь спектр аналитических задачи быстрее с помощью облачных технологий – от экспериментов до критически важных операционных процессов. Последняя версия платформы SAS Viya теперь доступна с помощью поставщиков облачных услуг.

Explore More on SAS® Workload Management

WHITE PAPER

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Moving from SAS® Grid to SAS® Workload Management on SAS® Viya®

Find out how you can benefit from advanced workload management capabilities, priority-based queues for SAS jobs and more granular control on workload placement.