AWS for SAP
Category: SAP on AWS
Architecture Options for Extracting SAP Data with AWS Services
Introduction Gartner found that nearly 97% of data sits unused by organisations, and more than 87% of the organisations are classified as having low maturity levels in terms of business intelligence and analytics capability. This capability deficit could severely restrict a company’s growth and introduce risk to its existence as it cannot reinvent itself. Every […]
SAP ODP based Change Data Capture with Amazon AppFlow SAP OData Connector
Authors: Krishnakumar Ramadoss, Rozal Singh, Manoj Muthukrishnan, Ram Borhade, Rajendra Narikimelli, Damian Maldonado, Ganesh Suryanarayanan Introduction 5,000+ customers are running their SAP workloads on AWS. Besides saving costs, customers are reaping significant benefits from the depth and breadth of AWS services. Tens of thousands of data lakes are already deployed on AWS. Customers are benefiting […]
Share SAP OData Services securely through AWS PrivateLink and the Amazon AppFlow SAP Connector
Introduction Amazon AppFlow is a fully managed service that enables customers to securely transfer data between Software-as-a-Service (SaaS) and enterprise applications, including SAP, Salesforce, Zendesk, Slack, and ServiceNow, and AWS services, including Amazon S3 and Amazon Redshift, in just a few clicks. Often, customers first move their SAP workloads onto AWS to reduce costs, improve […]
Run your most IOPS-intensive SAP workloads on AWS with Amazon EBS io2 Block Express
Introduction AWS has been supporting SAP workloads in the cloud since 2008, and SAP customers in the cloud since 2011. Over these years, our customers running SAP workloads have witnessed unprecedented growth in the data generated by their enterprises. As a consequence, customers have been looking for low latency and enhanced performance for their databases […]
Integrating SAP Systems with AWS Services using SAP Open Connectors
Introduction SAP customers are accelerating innovation and reforming business process by using AWS services. Customers such as Zalando, Invista and Bizzy have modernised their SAP landscape and streamlined operations by integrating SAP with AWS technologies. SAP’s RISE with SAP solution provides consumption credits for SAP Business Technology Platform (SAP BTP), which customers can use for […]
Securing SAP with AWS Network Firewall: Part 1 – Architecture design patterns
Introduction Cloud Security is job zero at AWS. We have a Shared Responsibility Model where customer assumes responsibility and management of the guest operating system (including updates and security patches), other associated application software as well as the configuration of the AWS services. A common question that organizations that are new to SAP on AWS […]
Monitor and Optimize SAP Fiori User Experience on AWS
Introduction SAP Fiori is the user interface component of modern SAP applications such as S/4HANA, which enables business users to execute their business critical processes within SAP. It is based on SAP’s own HTML5 implementation called SAPUI5 and relies on the HTTPs protocol and modern web browsers as the client. As you are operating SAP […]
Accelerate your finance transformation on AWS with Magnitude SourceConnect
This post was co-authored by Ulf Liljensten, Partner Development Specialist at AWS and Carsten Hilker, Product Manager, SAP S/4HANA Central Finance at SAP SE Introduction: Finance Transformation Challenges For many enterprises, sophisticated SAP estates combined with highly complex system landscapes of non-SAP systems is a reality. These SAP systems support diverse and complex business processes […]
New innovations for SAP on AWS customers
Introduction Another SAP Sapphire is upon us! After a few years off from an in-person Sapphire event, we are super excited to be back in Orlando this year to meet with customers, partners, and colleagues face to face. We’ll have a full team of SAP technical experts and members of the SAP on AWS leadership […]
Proactively detect and prevent manufacturing defects with SAP on AWS
This post was written by Ganesh Suryanarayanan, Krishnakumar Ramadoss, Joseph Rosing and Manoj Muthukrishnan. Introduction Machine learning increasingly enables a lower total cost of quality by detecting defects faster (in some cases predicting them) and augmenting traditional six sigma business process improvements with scalable, low-cost solutions. However, like many industrial machine learning use cases, the […]