October 10, 2026

Agentic AI Four‑Agent Pattern for Scaling Cloud Migrations on Amazon Bedrock AgentCore

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WebCrimp analysis and practical explanation. AI-assisted; reviewed before publication.

Quick Summary

An enterprise migration program used a four‑agent architecture built with the Strands Agents SDK on Amazon Bedrock AgentCore to automate intake, IaC generation, governance, and post‑cutover SRE tasks. The pattern works alongside AWS Transform and AWS DMS, relying on organization‑specific MCP tools for source and destination connectivity, and reduced IaC development time from weeks to minutes across 300+ applications.

What Happened?

The program integrated four purpose‑built Strands agents: an Intake Agent that reads migration inputs from internal wikis, ticketing, collaboration platforms and provisioning APIs via MCP tools; an IaC Agent that generates infrastructure code from approved internal modules; a Migration Intelligence and Governance Agent that provides reporting and well‑architected assessments in Jira, Confluence and Webex; and an SRE Agent that handles monitoring and remediation after cutover. Agents run on Bedrock AgentCore, use Bedrock foundation models with guardrails, and exchange state through AgentCore memory. Internal tracking showed IaC authoring time dropped from 3‑4 weeks per application to minutes.

Why It Matters

By automating the most time‑consuming, error‑prone steps of a large‑scale migration—discovery, IaC creation, governance handoff, and post‑migration operations—the pattern accelerates delivery, ensures consistent compliance with organizational security policies, and frees engineers to focus on higher‑value work. The hybrid approach lets managed services (AWS Transform, AWS DMS) handle the bulk of migration while custom agents fill organization‑specific gaps.

Who Can Use It?

Cloud · DevOps · Software Development · AI/ML · Operations · Cybersecurity

How Can I Use This?

If you work in Cloud, DevOps, Software Development, AI/ML, Operations, Cybersecurity

  • Cloud Engineers can configure the Intake Agent to pull architecture documents from MCP‑enabled wikis and ticketing systems. DevOps teams can deploy the IaC Agent to generate compliant Terraform/CloudFormation code from approved module libraries. Security professionals can define and version policy sets as MCP tools that agents consult via guardrails. SRE staff can activate the SRE Agent for automated monitoring and remediation after cutover. Data Engineers can point the Migration Intelligence Agent at database inventory sources to produce DMS‑ready schema conversion reports.

AI Tip

Attach a Bedrock Guardrails policy to each agent’s model call so that policy violations are caught before any tool is invoked, guaranteeing that generated IaC always respects the latest security baseline.

AI Trick

Leverage AgentCore’s shared memory to persist the Intake Agent’s target architecture; the IaC Agent can read this context directly, eliminating manual handoff files and ensuring that every generated stack reflects the most up‑to‑date discovery data.

Example Workflow

  1. 1. Verify that no existing AWS managed service covers your migration path. 2. Build MCP tools for your internal sources (wiki, ticketing, provisioning API) and destinations (internal module registry). 3. Deploy the four Strands agents on Bedrock AgentCore, wiring each to its MCP toolset via AgentCore Gateway and attaching appropriate IAM roles. 4. Seed AgentCore memory with baseline policies and version them. 5. Run the Intake Agent to discover target state; let it write results to memory. 6. Trigger the IaC Agent to read memory, generate IaC, validate via guardrails, and execute. 7. Use the Migration Intelligence Agent for ongoing governance reporting. 8. After cutover, enable the SRE Agent for monitoring and auto‑remediation. *These steps should be validated against your organization’s security and change‑management policies before production use.*

Copy This Prompt

Generate IaC for {{application_name}} using {{internal_module_library}} that complies with {{policy_set_version}} and includes {{required_tags}}.

Recommended Tools

  • Amazon Bedrock AgentCore
  • Strands Agents SDK
  • MCP client/gateway
  • AWS IAM
  • Infrastructure as Code tooling (e.g., Terraform, CloudFormation)
  • Bedrock foundation model
  • AgentCore Identity and Policy
  • AgentCore Memory
  • AgentCore Observability

Check official documentation, availability and pricing before using these suggestions.

Difficulty

Intermediate

Estimated Time Saved

Not measured; validate with your own workflow.

Source

AWS AI
Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore
Original publication date: 2026-10-01T22:06:14+00:00