Category: Thought Leadership

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 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 Secure and efficient access to SAP applications is crucial for maintaining operational excellence and high productivity for users. As organizations embrace hybrid work models and mobile workforce solutions, traditional VPN (Virtual Private Network) based approaches to SAP system access are increasingly showing their limitations. At the same time, organizations are looking beyond traditional access […]

Introduction SAP HANA databases are often deployed in High Availability (HA) configurations to maintain continuous operations on AWS. SAP HANA databases need both HA configuration and comprehensive backup strategies to protect data and support complete system recovery. Despite the benefits of SAP HA deployments, SAP HANA databases remain vulnerable to various risks, including cluster-wide failures, […]

Introduction In the second part of our blog series, we will share more details on each of the key capabilities of Amazon CloudWatch Application Insights, to aid in using the insights gained, to catch trends in your system, understand the overall health of your SAP landscape, and react accordingly, to maximize your business continuity. The […]

Introduction One reason thousands of customers choose AWS to run their mission-critical SAP workloads is to improve reliability and business resilience. In fact, a 2023 IDC report found that customers who run S/4HANA on AWS experience 58% less unplanned downtime vs. on-premises. Increasingly, SAP customers are choosing RISE with SAP on AWS to support their […]

Introduction to generative AI Generative artificial intelligence (generative AI) is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. AI technologies attempt to mimic human intelligence in non-traditional computing tasks like image recognition, natural language processing (NLP), and translation. It is supported with a very large […]

Introduction Enterprise applications generate a lot of data. Analyzing this data helps stakeholders make informed decisions. Enterprises use AI/ML for automating business processes, finding patterns at scale, and more. SAP is one of the most extensively used ERP solutions for different industries of varied scales and complexities. SAP systems are often integrated with external systems […]

Background Customers are always looking to improve their operational excellence and resiliency of their core business processes in SAP systems. To achieve this, they need a consolidated monitoring/observability dashboard for their SAP landscape, so they can correlate issues, and understand whether they are in the database, application server, presentation, or network layers, (including Internet connectivity) […]