Cost Optimization Framework for Running SAP Landscapes on Hyperscalers (Azure, AWS, GCP)

Abstract

The migration of SAP landscapes to public cloud hyperscalers—Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)—offers transformative advantages, including scalability, agility, and resilience. However, enterprises often fail to achieve projected cost efficiencies due to the complexity of optimizing mission-critical SAP workloads and the dynamic, consumption-based pricing models of cloud platforms, leading to cost overruns and diminished Return on Investment (ROI). This study presents a Cost Optimization Framework tailored for SAP environments on hyperscalers (Azure, AWS, GCP), combining Financial Governance, Enterprise Architecture best practices, and Automation-Driven FinOps methodologies. The framework delivers a holistic strategy for cloud cost management, enabling sustainable efficiency in Cloud ERP deployments. A comparative analysis of platform-specific optimization techniques is provided, alongside actionable recommendations to maximize value in the Intelligent Enterprise.