Accelerate large-scale server migrations with AI-driven orchestration

This article demonstrates how to accelerate large-scale server migrations by combining AWS services with AI-driven orchestration to eliminate manual tracking, reduce human errors, and scale migration velocity.

• AWS Transform discovers servers and creates wave plans based on application dependencies and complexity
• Kiro CLI provides a conversational interface for natural language migration commands instead of switching between consoles
• Cloud Migration Factory orchestrates multi-wave pipelines with customizable runbooks and automated tasks
• Amazon Bedrock AgentCore powers AI agents for failure investigation, DNS updates, and stakeholder notifications
• AWS MGN replicates servers in parallel without downtime while production continues running
• Model Context Protocol (MCP) enables CMF APIs to be exposed as tools for natural language interaction
• Security uses IAM role isolation, short-lived credentials, and human approval gates for critical decisions
• Walkthrough example migrates WordPress and Inventory Management applications across two waves with automated validation and cutover

Organizations can scale migrations from hundreds to thousands of servers by automating repetitive tasks, reducing toil, and maintaining consistent pipeline templates across waves without increasing headcount.