An organization runs a decades-old engineering simulation that depends on a custom kernel module and cannot easily be re-compiled. The data-center lease ends in three months, so the team must move the workload quickly without changing application code. According to Google Cloud migration approaches, what is the main business value of choosing a rehost (lift-and-shift) path for this specialized legacy application?
It requires a complete redesign into microservices, providing long-term agility even though the application stays on-premises during the redesign.
It removes all proprietary operating-system licensing fees by automatically converting the application to open-source components.
It allows the workload to run on Compute Engine with little or no code change, meeting the tight deadline while eliminating on-premises data-center costs.
It forces the team to containerize the application, maximizing portability but extending the migration timeline.
Rehosting moves a workload to Google Cloud almost exactly as it runs today, usually by migrating the virtual machine to Compute Engine. Because no major code or architecture changes are required, migration time and engineering effort are low-an advantage when a strict deadline or limited resources exist. This lets the organization retire on-premises infrastructure costs while keeping the application functional. Options that require containerization, licensing elimination, or a complete redesign would lengthen the timeline or add effort, defeating the primary business goal of a fast, low-risk move.
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