Go beyond Kubernetes and simplify your analytic workload management on SAS® Viya®
SAS Workload Management
Get the most out of your cloud infrastructure spending while ensuring the best experience across your entire analytics platform.
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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.
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.
