AWS Transform custom: Enterprise Code Modernization with the Learn-Scale-Improve Flywheel | Amazon Web Services
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AWS Transform custom: Enterprise Code Modernization with the Learn-Scale-Improve Flywheel | Amazon Web Services
"When you need to modernize at enterprise scale, transforming code is only part of the challenge. Coordinating people, capturing knowledge, and maintaining quality across your entire portfolio are also important."
"As an example, an enterprise software company needed to migrate a large legacy codebase to a modern platform. Their projection: 12 weeks of intensive work coordinating across multiple teams."
"When you scale from one repository to hundreds, coordination overhead explodes. Each additional repository adds not just its own complexity, but new integration points, edge cases, and unanticipated coordination requirements."
Enterprise modernization faces significant challenges when scaling from one repository to hundreds. While tools like AWS Transform custom facilitate individual repository transformations, the real difficulty lies in coordinating teams, capturing knowledge, and maintaining quality across a large portfolio. A case study shows a customer reduced modernization timelines from 12 weeks to 2.5 weeks, achieving substantial reductions in delivery time and effort. Effective coordination is essential to manage complexities, integration points, and dependencies that arise during large-scale transformations.
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