The "Inference-Ready" Migration: Scaling with AWS Transform & Landing Zones

In late 2025, the AWS Migration Hub has evolved into AWS Transform, an agentic AI service designed to eliminate "Migration Stall." This technical reference outlines how to build an AI-ready Landing Zone that supports full-stack modernization—from legacy Windows to high-performance Linux and AI workloads.

I. Beyond Windows: The Full-Stack Power of AWS Transform

While AWS Transform gained fame for its .NET to Linux refactoring, its capabilities cover the entire enterprise landscape:

• VMware & Hybrid Cloud: The VMware Agent automates the translation of complex on-prem networking (NSX, Cisco ACI) into AWS Hub-and-Spoke architectures, achieving 80x faster network configuration.

• Modern Linux Stacks: Specialized agents now handle automated upgrades for Java (8 to 17+), Node.js, and Python runtimes, ensuring your Linux workloads are optimized for Graviton processors.

• Mainframe Modernization: Refactors legacy COBOL into cloud-native Java or modern microservices, reducing modernization timelines from years to months.

• Custom Codebases: Organizations can now "bring their own agents" to handle proprietary frameworks, ensuring no part of the stack is left behind.

  
  

II. Accelerating AI Adoption: The "Private AI Sandbox"

A Landing Zone built in today is an Inference Engine. We use Amazon Bedrock within an isolated account structure to provide "Private AI Sandboxes."

Technical Implementation:

1. Zero Public Exposure: We deploy Interface VPC Endpoints (PrivateLink) for Bedrock. Traffic never traverses the internet.

2. Data Perimeters: S3 Bucket Policies are restricted to specific VPC Endpoint IDs, creating a "Decontamination Chamber" for your data.

3. AI Safety: Centralized Guardrails for Amazon Bedrock are enforced via Service Control Policies (SCPs) to redact PII and enforce corporate AI ethics across all sandboxes.

   
   

III. The Scrovegni Strategy: Automated Guardrails

To protect the "Art" (your data and innovation), we replace manual security audits with Autonomous Governance.

Strategy	AWS Service	2026 Best Practice
Global Rail Control	Control Tower	Multi-account isolation for Dev, Test, and AI-Sandbox.
Decontamination	AWS CloudFormation Guard	Automated "Pre-flight" checks prevent non-compliant code from deploying.
Environmental Shield	SCPs	Deny regional drift and protect security logs from alteration.
Self-Healing	AWS Config + Lambda	Real-time detection and auto-remediation of configuration drift.