AWS for SAP
Tag: SAP HANA
Sales forecasting in SAP with Amazon Forecast
Introduction Sales forecasting is the process of predicting how much of something (a product or a service) someone (a company, a salesperson, a retailer etc.) will sell. To illustrate the importance of accurate forecasting, consider the case of a fashion e-retailer that sells products online. By predicting the demand correctly, they can maintain right level […]
Read MoreSAP backups on AWS using Commvault – architecture and core component deployment
In this blog series, we cover best practices for customers to use Commvault to back up and recover their SAP instances securely. Customers who run SAP on AWS today have various backup solutions available to back up their SAP instances. Some use cloud-native AWS services while others continue to use their enterprise backup solutions like […]
Read MoreLower costs, improve reliability and availability, and increase performance for SAP workloads
SAP on AWS customers can now enjoy better performance and faster workflows with higher storage and network bandwidths for EC2 High Memory instances certified by SAP; significant cost savings for EC2 Standard Reserved Instances or EC2 Instance Saving Plans; and a 99.99% Amazon Elastic File System availability guarantee. We’ve also certified Amazon EC2 C5a instances for SAP, which offer the lowest cost per x86 vCPU in the Amazon EC2 portfolio and launched AWS Backint Agent for SAP HANA to backup business-critical SAP HANA database to Amazon S3.
Read MoreHow to use snapshots for SAP HANA database to create an automated recovery procedure
In this blog post, we describe a cloud native approach to demonstrate the power and capabilities of AWS. There are still good reasons for HANA System Replication (HSR) or third-party cluster software to build productive systems in cloud environments. However, we focus on an alternative approach by using cloud native features, such as Amazon EC2 Auto Scaling and Amazon Elastic Block Store (EBS) Snapshots. With these features we build an infrastructure with native backup/restore functionality, automated processes, and the focus of low costs, for non-critical SAP applications.
Read MoreTagging recommendations for SAP on AWS
In this post, we outline the benefits of tagging and provide recommendations for customers and partners deploying SAP workloads on AWS. Recommended tags are based on practices we’ve seen across a number of our engagements. Customers can directly use all of these tags or modify them to fit their own needs.
Read MoreRed Hat Enterprise Linux (RHEL) high availability for SAP NetWeaver and HANA on AWS
One of the key things customers look for when deploying SAP workloads on AWS is having high availability (HA) set up for their business/mission-critical SAP applications. In this blog post, we discuss the HA option for customers running their SAP workloads on Red Hat Enterprise Linux (RHEL).
Read MoreFive keys to a successful SAP migration on AWS
Regardless of industry, your customers have more choices than ever. To stay competitive you must meet their needs more quickly, more accurately, and with higher quality. We learned through experiences like that of Joerns Healthcare and other customer engagements that there are five keys to SAP transformation success on AWS.
Read MoreAnnouncing support for extremely large S/4HANA deployments on AWS
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.
Read MoreRun federated queries to an AWS data lake with SAP HANA
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.
Read MoreSmaller X1e instances for SAP HANA non-production workloads
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.
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