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Step 9: Configure Wave Planning Manager - Cloud Migration Factory on AWS
PrerequisitesConfigure data sourceConfigure rules

Step 9: Configure Wave Planning Manager

Wave Planning Manager (WPM) is an optional module that helps you organize and schedule your migration workloads in an optimal way. If you enabled it in Launch the stack, review the following concepts.

Prerequisites

Bedrock available regions and model selection

Generative AI support - Attribute mapping and rule creation

The Wave Planning Manager (WPM) module provides two optional features that utilize generative AI to streamline the user experience: automated header mapping; and intelligent rule creation.

If you choose to deploy WPM and want to enable these features, you will need to verify that AWS Bedrock is available in your deployment Region. WPM will attempt to integrate with the following models, in preferential order:

  1. (Anthropic) Claude Sonnet 4

  2. Claude 3.7 Sonnet

  3. Claude 3.5 Sonnet v2

  4. Claude 3.5 Sonnet

  5. Claude 3 Sonnet

  6. (Amazon) Nova Pro

To use these features, you will need to add access to the highest supported preferential model in your AWS Region.

Note

If none of these models are available, Bedrock is not available, or you do not wish to enable the highest supported preferred model, you can still enable WPM doing deployment. However, both features will not be available and users will need to manually map headers and define rules.

Configure data source

The WPM module enables many-to-many relationships during import. With this capability, applications can be deployed to many servers and a server can support many applications.

The import process is different, and requires the creation of a data source. For more information on how to create a data source, see here.

Configure rules

Wave Planning Rules are a set of configurable guidelines that control how assets are processed during wave planning. WPM pre-defines a list of most frequently used rules as default rules, however you are also able to define your own custom rules based upon your data. To do this, see this link.