AUTOMATED CLOUD MIGRATION STRATEGIES FOR ENTERPRISE RESOURCE PLANNING SYSTEMS: A TECHNICAL ANALYSIS
Keywords:
Enterprise Cloud Migration Automation, SAP Software Provisioning Manager (SWPM), Parallel Processing Infrastructure, Terraform Infrastructure Management, Cloud Migration Performance OptimizationAbstract
This comprehensive article examines the integration of cloud automation tools for seamless enterprise system migration, focusing on the transformation of traditional ERP systems to cloud-based infrastructures. The article investigates the implementation of advanced migration technologies, including SAP's Software Provisioning Manager (SWPM), AWS Database Migration Service (DMS), and Terraform, analyzing their impact on migration efficiency, business continuity, and cost optimization. Through a detailed examination of parallel processing frameworks, automated script implementation, and resource optimization strategies, the article demonstrates significant improvements in migration timelines, with reductions of 40-60% in overall migration duration and a 75% decrease in manual intervention requirements. The article reveals substantial business benefits, including minimal operational disruption, enhanced data security, and improved post-migration system performance, with organizations achieving ROI of 150-200% within 18 months of implementation. The article also explores emerging trends in cloud migration technologies, including AI integration, advanced security frameworks, and sustainable computing practices, providing valuable insights for organizations undertaking digital transformation initiatives. This article contributes to the understanding of automated cloud migration strategies and their crucial role in modern enterprise system transformations, offering a framework for successful implementation while highlighting future research directions in this rapidly evolving field.
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