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.


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.


透過在雲端更快決策,應對各種分析挑戰(從實驗型功能到關鍵任務型功能)。這些雲端供應商現已推出最新版本 SAS Viya。

SAS Cloud

透過在 Microsoft Azure 上原生執行 SAS Viya,SAS Cloud能夠管理整個分析平台,以實現最佳效能和價值。


Microsoft 是我們的策略合作夥伴和首選的雲端供應商。透过深度整合並基於共同的路線圖,SAS 和 Microsoft 正在合作塑造雲端 AI 和分析功能的未來。


SAS Viya 採用雲端原生(cloud-native)設計,已經過測試並獲准使用數百萬 AWS 使用者所使用的雲端服務。


憑藉對創新和開放式程式碼雲端原則的承諾,SAS Viya 為 Google Cloud 提供原生 AI 和進階分析功能。

Red Hat OpenShift

SAS Viya 將最新的 DataOps、AI 和 ModelOps 功能引入 Red Hat OpenShift – 領先的企業 Kubernetes 平台,專為您的開放式混合雲端策略而建構。​

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