AWS for SAP

SAP announces its collaboration with Amazon Web Services IoT and the general availability of interoperability between SAP Leonardo IoT and AWS IoT Core.

Extend your SAP on AWS investments, and drive business innovations by integrating SAP Cloud Platform services with AWS services. These examples of integration patterns show how you can extend, integrate, and interoperate between SAP Cloud Platform and AWS services.

Discusses the key attributes of Amazon EC2 High Memory instances and how they can be used with AWS services for a fully integrated experience.

Explains how we arrived at this year’s SAPPHIRE NOW theme: Simplify your S/4HANA journey and innovate faster.

Discusses a new AWS Quick Start for SAP S/4HANA that enables businesses to deploy their SAP S/4HANA workloads on the AWS Cloud in less than three hours, compared with a manual deployment that can take days or even weeks to complete.

See how to deploy SAP on AWS in a highly available manner in Windows and Linux environments using SIOS Protection Suite, and take a look at some of the differences in SIOS setup in Windows and Linux environments.

Based on customer input, we have been working with SAP to support additional deployment options for Amazon EC2 High Memory instances to support even larger database sizes. Now SAP has certified scale-out deployments using the 12 TB Amazon EC2 High Memory instance type for S/4HANA workloads.

With RHEL for SAP with High Availability and Update Services, you can run SAP HANA and SAP Business Applications based on SAP NetWeaver. You also now have access to Red Hat Pacemaker cluster software to set up High Availability for SAP HANA and SAP Business Applications installations.

Using the SAP HANA SDA feature and ODBC drivers from Amazon Athena, you can now federate queries from SAP HANA to Athena, combining data from SAP HANA with data that is available in an Amazon S3 data lake without needing to copy this data to SAP HANA first.

Learn more about how you can lower TCO by running non-production SAP HANA workloads on smaller X1e instances and using instance resizing to scale up or scale down when needed.