AWS for SAP

Introduction Optimizing SAP operations on AWS requires efficient monitoring, troubleshooting, and maintenance capabilities. Building on our previous discussion of Amazon CloudWatch Application Insight in part 1, How we use CloudWatch Application Insight to monitor SAP High Availability in part 2, and Amazon CloudWatch Model Context Protocol (MCP) Server and Amazon Q for command line (Q […]

Introduction In today’s complex SAP environments, efficient operations and rapid troubleshooting are critical for business continuity. Building on our previous discussions of SAP observability (part-1) and Amazon CloudWatch Application Insights capabilites (part-2), this third installment introduces a powerful combination of tools that revolutionizes how teams manage SAP landscapes: Amazon CloudWatch Model Context Protocol (MCP) Server […]

Introduction Conducting adequate load testing of SAP systems is a major factor in ensuring the systems can meet the performance and reliability expectations of the business when under peak usage. Typical scenarios which require load testing are new company/country rollouts, software release upgrades from ECC to S/4HANA, application patching (e.g., support packages), S/4HANA transformation projects […]

Organizations have moved beyond exploring Generative artificial intelligence (Gen AI) to actively using it for business value. If you work with SAP systems and are wondering where to start or looking for ideas on use cases, you are not alone. This blog explores common business use cases for SAP data and the different approaches available […]

Digital transformation in field service operations has led to an exponential increase in assets generation and therefore storage requirements. Organizations using SAP Field Service Management (SAP FSM) face growing challenges in managing digital assets captured by field service technicians. These assets can consist of equipment pictures, forms, customer signatures and other critical assets managed when […]

Introduction All companies are looking for ways to help their developers improve productivity, build applications faster, and simplify the burden of maintaining legacy code. Amazon Q Developer is a generative AI tool that can help companies eliminate the technical debt associated with their highly customized SAP environments and deliver new features faster. In this blog, […]

Introduction Thousands of customers run SAP workloads on AWS, and customers are looking to accelerate their business process transformation by building cloud-native application extensions on AWS. Customers are leveraging 200+ AWS services to maintain a clean core for their ERP system, streamline upgrades, and innovate at pace with evolving business needs using AWS-native capabilities. Security […]

Introduction Are you ready to unlock the full potential of your SAP workloads on AWS? Let’s solve one of the most crucial pieces of the puzzle: establishing secure, reliable network connectivity between your company networks and your cloud ERP workloads. At AWS, as we’ve helped customers implement their SAP Cloud ERP Private workloads (formerly known […]

Introduction Migrating SAP to AWS offers customers the ability to modernize their SAP landscape and take advantage of the benefits from running in the cloud. A number of these benefits are available out of the box, such as the ease to change an instance type and memory/CPU capabilities within minutes, as well as resizing disk […]

Many of our customers are seeking guidance on how generative AI can support their enterprise-wide modernization strategy. Amazon Bedrock is a fully managed service that provides access to a wide range of high-performing foundation models (FMs) from leading AI companies such as Anthropic, AI21 Labs, Cohere, Stability AI, Mistral, Meta Llama, Amazon Nova and Amazon Titan. Amazon Bedrock offers a comprehensive […]