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

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Cluster of SAS Workload Management Queues and Jobs

SAS Workload Management

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



Key features

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.


Recommended resources for SAS Workload Management

White Paper

SAS Viya and the cloud: How SAS is changing the game it invented

Learn how SAS Viya takes full advantage of the cloud's scalability, providing a solution that delivers the latest, up-to-date capabilities.

Blog

What you need to know about the future of SAS Grid and SAS Viya. Hint: It’s amazing!

Learn about the powerful, advanced workload management capabilities of SAS Grid Manager, now available on SAS Viya.

Communities

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.