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Using AI to Move Applications

Using AI to Move Applications

Artificial Intelligence (AI) has been around for decades, but it has never been more popular than now. Recent breakthroughs have shown that AI can be leveraged to move Windows Server  and Linux applications to modern, faster, and secure servers. For example, AI can learn, analyze, and move legacy apps to modern Microsoft OS versions. 

If we take advantage of AI, we don’t need runbooks, original source code, install scripts, or even human knowledge to get apps to a new, better place. AI software can traverse the entire directory, file, and component structure to discover which elements are required to run an application on a modern OS. AI can also determine where those components should go on a modern operating system, to ensure that the moved application functions correctly on a new server. 

AI can learn about an application in a fraction of the time that it would take a skilled person to perform the same tasks. AI has been proven to move a complete application state (all historical configuration information, patches, etc.) to new server environments, both in-house and to the Cloud, with at least a tenfold improvement in productivity compared to manual efforts. Thanks to AI, we finally have help to modernize apps at scale.

“Software intelligence builds on strong AI” 

IT Brief

Using automated migration to move applications to fast, secure, modern servers is the best first move for a DevOps team. If you’re planning application redevelopment in the future, you’ll be able to build the new app using modern tools available on a modern OS. Better tools and performance will yield better results for your redevelopment project. 

AI is at the heart of the VirtaMove toolset. It helps us dynamically discover applications and their dependencies, build libraries of migration templates, and more. If you’re ready to move your current apps with the help of AI and machine learning, don’t hesitate to email us or give us a call. We’re always pleased to share what we know.

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Comment (1)

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