Architecting Cloud-Native AI Stacks: A Strategic Framework for Migrating .NET to Python-React

The enterprise technology landscape is undergoing a fundamental shift as organisations migrate from legacy .NET monoliths to cloud-native architectures built on Python for AI/ML workloads and React for modern user interfaces. This migration is not merely a technology refresh — it is a strategic repositioning that determines whether organisations can effectively leverage AI capabilities, attract engineering talent, and maintain competitive agility. This paper provides a strategic framework for planning and executing this migration, covering architectural patterns for decomposing .NET monoliths into cloud-native microservices, security considerations for Python-based AI stacks, frontend modernisation strategies using React, and the organisational change management required to support a fundamental technology platform shift.

Case studies from financial services and technology companies illustrate both successful migration patterns and common failure modes.