AWS for SAP
Category: Uncategorized
Updated Guidance for SAP Pacemaker configuration – ABAP SAP Central Services (ASCS)
SAP customers running critical workloads on Linux on AWS often rely on Pacemaker, an open source resource manager, to orchestrate maximum availability. Pacemaker detects and reacts to failure scenarios that impact SAP uptime by disrupting the underlying infrastructure, the operating system or the SAP application itself. AWS worked with SUSE and Red Hat on the […]
Licensing Optimization for SAP Applications with Amazon EC2 CPU Options
Introduction SAP offers multiple products with different licensing options for customers. An example is SAP BusinessObjects (SAP BOBJ) which supports Concurrent Sessions (CS) / Concurrent Access License (CAL), Named User (NU) and CPU License types. Understanding the different license options available is important for customers to optimize their costs when running in AWS. When customers […]
Automate High Availability Tests for SAP HANA
Introduction The software development and operations industry has been modernizing and increasingly, applying DevOps as the standard approach to its processes. However, SAP installation and operations still tend to be very much manually driven. To help evolve this to an automated approach, we’ve demonstrated in our first blog post how to provision the infrastructure for […]
Migrating SAP HANA-based systems using AWS Migration Hub Orchestrator
Why use AWS Migration Hub Orchestrator service Thousands of customers worldwide trust AWS to run their mission-critical SAP applications. For SAP applications that are still on-premises, many customers are looking for an easier way to migrate to AWS while following AWS and SAP best practices. AWS Migration Hub Orchestrator for SAP reduces the time and […]
Monitor SAP Applications using Amazon CloudWatch Application Insights
Introduction SAP applications support critical business processes and therefore, customers require a comprehensive view of their SAP applications’ health and actionable insights to maintain the highest levels of security, availability, and performance. Since 2019, Amazon Web Services customers have been using Amazon CloudWatch Application Insights to monitor applications like Microsoft SQL Server databases and .NET-based […]
Modernize your SAP eco-system with SAP BTP and AWS services
Customers have been running SAP workloads on AWS since 2008. SAP and AWS have partnered for 14+ years to jointly innovate for our customers. Our guiding star has been to bring flexibility and agility of the AWS platform to run SAP workloads. SAP has consistently leveraged AWS services over the years to run internal systems and […]
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 […]
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 […]









