AWS Transform: AI-Powered Service Accelerates Enterprise Workload Modernization

AWS Transform: Revolutionizing Enterprise Workload Modernization

Amazon Web Services (AWS) has announced the general availability of Transform, an innovative service that leverages agentic artificial intelligence to accelerate the migration and modernization of enterprise workloads. Initially previewed at AWS re:Invent 2024 as Amazon Q Developer transformation capabilities, this service targets legacy VMware, mainframe, and .NET workloads, promising to reduce project timelines by an average of fourfold compared to manual transformation methods 1

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AI-Powered Migration and Modernization

AWS Transform employs specialized AI agents to automate complex migration tasks, addressing the cost and complexity issues that often hinder enterprises from transitioning more workloads to the cloud. The service utilizes a multi-agent, multi-model approach, powered by AWS Bedrock foundational models and graph neural networks 1

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Key features of AWS Transform include:

1. .NET application modernization: Facilitates migration from Windows to Linux, potentially reducing operating costs by up to 40% by eliminating Windows Server licensing fees 1

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2. Mainframe workload transformation: Decomposes monolithic Cobol applications into manageable components, converting them to Java and PostgreSQL 1

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3. VMware environment migration: Automates application discovery, dependency mapping, and network configuration conversion 1

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Impressive Time and Cost Savings

The impact of AWS Transform on migration and modernization projects is significant:

• .NET applications: Up to 4x faster modernization and potential 40% cost savings 2

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• Mainframe applications: Reduction of typical multi-year projects to months 1

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• VMware environments: Up to 80x faster migration compared to manual approaches 1

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Addressing Enterprise Modernization Challenges

AWS Transform comes at a crucial time for enterprise digital transformation. Recent research indicates that 64% of enterprises are investing in AI in 2025, with 63% accelerating their cloud migration plans 2

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How AWS Transform Works

The service provides a chat-based interface that acts as a knowledgeable transformation assistant. It helps users specify objectives, share project context, assess business plans and cost savings, review and adapt transformation plans, and approve code and infrastructure suggestions 2

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For .NET applications, AWS Transform analyzes dependencies, develops customized modernization plans, and autonomously transforms code. It also executes unit tests, generates transformation summaries, and validates Linux-readiness 2

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In mainframe modernization, the service uses graph neural networks to analyze dependencies, generate technical documentation, and refactor code. It also includes testing capabilities as part of its workflow 1

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Customer Success and Future Implications

Early adopters have reported significant benefits. Grupo Tress Internacional (GTI) achieved a 70% reduction in modernization effort for one of their .NET Framework applications, with an estimated total development time and effort reduction of up to 80% for their entire core application 2

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As AWS Transform is currently offered for free to encourage customer migration, it represents a strategic move by AWS to accelerate enterprise cloud adoption and AI innovation. The service's integration with AWS's Migration Acceleration Program and Experience-Based Acceleration programs further solidifies its position as a comprehensive solution for enterprise modernization 1

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