Cloud Deployment Patterns

Build and deploy ready-to-run SAS® applications in the cloud.

The power of SAS® in public or private clouds.


We offer multiple ways to deploy SAS software in public or private clouds. This includes deployment patterns like Docker containers, Kubernetes for orchestration, or support for Cloud Foundry. 

Flexibility

Flexibility

Different usage patterns require different software deployment models. Whether you have hundreds of users that need an always-on instance of SAS® Visual Analytics, or you need to quickly provision a programming-only instance of SAS® Viya® for a data scientist, SAS has you covered with a variety of cloud deployment models.

Innovation

Innovation

SAS takes full advantage of the industry's leading cloud deployment technologies. This includes Docker containers, Kubernetes for orchestration and support for Cloud Foundry. 

Integration

Integration

SAS unifies execution engines, outside data sources and programming languages in the cloud to support a holistic analytic platform strategy. Learn more about the SAS® Platform.

SAS® for Containers

Quickly build ready-to-run SAS applications that take advantage of flexible, scalable container-enabled environments in the cloud. Our solution provides a build once, run anywhere architecture to support rapid provisioning of the world’s most powerful analytics.

SAS application running on a laptop
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SAS® and Cloud Foundry

Cloud Foundry offers a platform as a service (PaaS) that supports a variety of popular cloud providers – including Microsoft Azure, Google Cloud Platform (GCP), Amazon Web Services (AWS), OpenStack and VMWare’s vSphere. With the latest release of SAS® Viya®, Cloud Foundry helps you reduce the risks involved with managing complex analytics environments, while enabling you to build apps using SAS Viya. 

Explore More on Cloud Deployment Patterns From SAS

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FACT SHEET

Learn more about SAS Analytics for Containers.

 

Read fact sheet

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BLOG


Discover why analytics in the cloud is now a whole lot easier.


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BLOG

 

Find out how microservices can widen the analytics base.

 

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