Meet peak computing demands reliably and cost-effectively.
Balance your workload.
As your organization's use of business analytics grows, so does the need for a flexible IT infrastructure that can scale to increasingly diverse workloads. Easily reassign computing resources to meet peak demand. A central point of control lets you queue and prioritize jobs across multiple users and applications. High-priority jobs run immediately and computing resources are fully utilized.
Be ready for anything.
Having multiple servers in a grid environment means that if a server fails, its jobs transition seamlessly to another server. With a highly available, shared grid environment, you're always on and always connected. You can perform maintenance on specific servers without interrupting jobs. And add computing resources without disrupting the business.
Divide and conquer.
Now you can get faster results and scale cost-effectively. Divide individual jobs into subtasks that are run in parallel on the best available hardware. Programs with large data sets and long run times, and those with replicate runs of independent tasks running against large data sets, are best-suited for multiprocessing. Make the most of all your available computing resources now, then add single-processing units as needed to keep IT spending in check.
NOW AVAILABLE
SAS® Workload Management on SAS® Viya®
SAS Workload Management on SAS Viya extends the power of Kubernetes by optimizing and prioritizing SAS workloads within a Kubernetes cluster.
A managed, shared grid computing environment with workload balancing, high availability and faster processing.
KEY FEATURES
A flexible, centrally managed grid computing environment with workload balancing, high availability and faster processing.
Dynamic, resource-based workload balancing
Delivers enterprise-class dynamic workload balancing for multiple users and applications.
Shared environment with high availability
Includes high-availability capabilities for all critical services. Failover to another node within the grid eliminates the need for a hot standby.
Grid-enabled SAS
Processes analytics jobs faster, and provides more efficient computing resource utilization. Integrates with all SAS analytics applications by storing grid-enabled code as SAS Stored Processes.
Automated management & monitoring
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.
Scalability for running complex analytics faster
Lets you manage a wide variety of SAS and open source jobs across grid environments for optimal resource utilization and faster processing. Divide individual SAS jobs into subtasks that are executed in parallel to accelerate processing and increase workload throughput.
Get to Know SAS® Grid Manager
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- E-BOOK SAS Grid Computing For Dummies, Second EditionBy implementing a SAS Grid Computing environment, you can better balance and manage workloads, use resources to their full extent, and increase productivity and overall performance. This e-book tells you how.
- 백서 Outcompete by Outcomputing With SAS Grid Manager on Red Hat Enterprise LinuxLearn how SAS Grid Manager with Red Hat Enterprise Linux configurations demonstrate robust performance and a scalable environment using commodity hardware and a wide variety of shared file systems.
- 고객 사례 Achieving academic and operational excellence through business intelligenceCurtin University uses SAS Visual Analytics to provide reporting across the organization.
- 고객 사례 Ensuring mental health patient safety during a global pandemicSAS delivers dashboard to monitor COVID-19 in the Copenhagen Regional Psychiatric Centers.
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