Select Language:
If you’re looking to modernize your mainframe systems and update your codebases, there’s a clear path you can follow using AWS tools designed for this purpose.
Start by using AWS Transform, a powerful AI service that helps you understand your legacy mainframe environment. It analyzes your current systems, extracts business logic from languages like COBOL and PL/1, and creates documentation and architecture advice. This step gives you a clear picture of what you have and helps you plan your modernization journey effectively.
Once you have a good understanding of your mainframe setup, AWS Transform Custom can help. This tool specializes in updating and modernizing your existing code. Whether it’s upgrading Java versions, migrating from Angular to React, or updating your AWS SDKs, it automates many of these tasks. It learns from each run, so the more you use it, the better it becomes at tailoring transformations to your organization’s needs.
After your mainframe systems are documented and your code is updated, the next step is to rebuild your applications using modern technologies. This is where Kiro, an AI-powered development environment, becomes essential. It uses the information gathered earlier to generate cloud-native code, create test cases, and develop automation scripts in languages like Java, Python, .NET, or Node.js. Kiro helps you reimagine your applications and build them anew in a way that fits the cloud and modern architecture standards.
In simple terms, first analyze your old mainframe environment with AWS Transform, then modernize your existing code with AWS Transform Custom, and finally rebuild your applications on the cloud using Kiro. These tools work together to make the modernization process smoother and more efficient, helping you move confidently into the future of cloud computing.
ChatGPT
Perplexity
Gemini AI
Grok AI
