De-Risking SAP S/4HANA Migrations To Hyperscalers: A "Strangler Fig" Pattern Using SNP Glue And AI-Driven Data Validation

Abstract

Enterprise migrations from legacy SAP ERP systems to SAP S/4HANA on hyperscale cloud platforms face substantial operational risks. Traditional "Big Bang" cutover methods create dangerous blind spots during transition periods. Business intelligence capabilities cease when legacy systems enter freeze periods. Executives cannot access real-time data for critical decisions. This creates operational paralysis that severely impacts supply chains and financial performance. The Migration Bridge methodology addresses these challenges through a decoupled architecture. It adapts the software engineering Strangler Fig pattern to infrastructure migrations. Real-time, log-based replication using SNP Glue technology creates a cloud-native Digital Twin of operational data. This parallel pipeline operates weeks or months before the actual ERP migration event. Analytical workloads redirect to Snowflake data warehouses in advance of cutover. Business users maintain full visibility throughout the transition period. AI-driven validation through SAP Joule agents ensures data integrity across the replication pipeline. Stochastic sampling and hash-based verification detect corruption in real-time. Hyperscaler-specific optimizations maximize network throughput and storage performance. The architecture decouples Analytics from Operations completely. This enables zero-downtime reporting during migration weekends. Beyond immediate tactical benefits, the framework establishes a permanent Clean Core architecture. Legacy technical debt retires without migrating to new systems. The result is a composable, Agile Enterprise where data liberation has allowed Advanced Analytics/Artificial Intelligence to flourish.