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AWS Solutions Library

Guidance for Intelligent Legacy to SaaS Application Migration

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Overview

This Guidance demonstrates how organizations can leverage AI-powered tools to streamline and optimize their migration assessment workflows while maintaining decision-making transparency. It helps teams accelerate the often complex and time-consuming assessment process by automating analysis, pattern recognition, and recommendation generation. The solution shows how AI can systematically evaluate migration readiness, identify potential challenges, and provide data-driven justification for strategic decisions. By combining artificial intelligence with established migration best practices, organizations can achieve faster, more accurate assessments while ensuring stakeholders understand the rationale behind each recommendation.

Benefits

    Streamline your application migration assessment process with AI-powered tools built on AWS services. Reduce manual analysis time while gaining deeper insights into your legacy applications' migration requirements.

    Provide clear justification for migration decisions through structured assessment workflows and comprehensive documentation. The solution leverages Amazon Bedrock Knowledge Bases to incorporate relevant context and best practices into your migration recommendations.

    Deploy a customizable assessment framework that adapts to your specific migration challenges and requirements. The serverless architecture with AWS Fargate and managed services minimizes operational overhead, allowing your team to focus on migration strategy rather than infrastructure management.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

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Deploy with confidence

Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs. 

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Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

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