Why SAP Migrations Deserve Special Treatment
SAP landscapes are among the most complex enterprise software deployments: tightly coupled system-of-record applications, significant customization layers (ABAP developments, BAdIs, user exits), complex integration topographies with dozens of connected systems, and rigid performance SLAs for OLTP processes. Standard cloud migration approaches—lift-and-shift, refactor, re-platform—each carry distinct risks for SAP: lift-and-shift preserves technical debt; refactor is prohibitively expensive; re-platforming to HANA requires database migration expertise that most cloud migration teams lack. SAP migrations require specialized knowledge of SAP architecture, AWS SAP-certified instance families, and migration tooling that is distinct from general-purpose cloud migration competency.
SAPAssist Architecture and Tooling
SAPAssist provides three capabilities that address the core complexity of SAP-on-AWS migrations. First, landscape discovery and mapping: automated discovery of the SAP landscape (ECC, S/4HANA, BW, Solution Manager, PI/PO, SRM, CRM) with dependency mapping, sizing analysis, and migration sequencing recommendations. Second, migration execution tooling: integration with AWS Application Migration Service and SAP-specific tools (SWPM, DMO, SUM) with pre-configured runbooks for common migration patterns. Third, post-migration optimization: HANA memory and I/O optimization, AWS cost optimization for SAP workloads (Reserved Instances, Savings Plans, EC2 right-sizing for SAP-certified instances), and SAP Basis operational runbook development for AWS.
Risk Mitigation in Practice
The highest-risk phase of any SAP migration is cutover—the window between production cutover and hypercare sign-off where migration issues surface and require immediate resolution. SAPAssist's cutover planning methodology includes: pre-cutover validation testing (functional, integration, performance), go/no-go decision framework with quantified acceptance criteria, rollback procedures with tested restore time objectives, and hypercare monitoring with automated alerting for SAP-specific performance indicators (work process saturation, database response times, ABAP dump rates, interface error rates). Organizations that have experienced failed SAP cutovers uniformly report inadequate pre-cutover testing and absent rollback procedures—gaps that SAPAssist's methodology systematically addresses.