Dynamic, resource-based workload balancing
Delivers enterprise-class dynamic workload balancing for multiple users and applications.
A managed, shared grid computing environment with workload balancing, high availability and faster processing.
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.
Get to Know SAS® Grid Manager
Learn about Amgen's SAS Analytical Platform project, including business justification, requirements, design, validation and production migration. Discover how Amgen overcame challenges using SAS Grid Manager, SAS Enterprise Guide, SAS/STAT, and the combined efforts of a global project team.
Join Austria’s Erste Group Bank on their journey from a monolithic SAS processing environment to a more flexible infrastructure using SAS Grid Manager software.
By 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.
Learn 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.
Read this Forrester Total Economic Impact (TEI) report to learn more about the potential ROI, benefits, savings and flexibility you can gain when you invest in SAS Grid Manager.
Check out these grid-enabled SAS products, built on the powerful SAS® Platform.
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