Artificial Intelligence · 20.08.2026, 16:16 UTC
Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore
| Schweregrad | info |
|---|---|
| Kategorie | Artificial Intelligence |
| Quelle | AWS Machine Learning ↗ |
| Veröffentlicht | 20.08.2026 UTC |
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Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore starts with recognizing where large-scale migrations break down. Discovery consumes weeks per application. Engineers write infrastructure code from scratch for each workload. Post-migration operations devolve into reactive firefighting. Multiply those bottlenecks across over 300 applications and a fixed fiscal year deadline, and migration programs struggle to keep pace. The multi-agent framework in this post reduced infrastructure as code (IaC) development time from 3–4 weeks per application to minutes across a over 300 application portfolio. This result is based on internal project tracking data. AWS Professional Services builds a suite of purpose-built AI agents to address these bottlenecks across the migration lifecycle, from automated discovery to proactive post-migration operations. The agents use the Strands Agents SDK and run on Amazon Bedrock AgentCore, a platform to build, connect, and optimize agents at scale, with any framework or model. In this post, you explore the architecture of a multi-agent orchestration framework that accelerates enterprise cloud migrations end-to-end. You also see the code that defines an agent, connects it to its tools, and applies responsible AI controls. The framework includes four agents: The Intake Agent for automated discovery. The IaC Agent that generates infrastructure as coded (IaC) adhering to your security best practices. The Migration Intelligence and Governance Agent for portfolio-wide reporting and well-architected assessments. The Site …