A retail client has a legacy C++ application that runs as a system service on CentOS 7 and relies on a custom kernel module to interface with specialized hardware drivers. The business needs to migrate this workload to Google Cloud within two weeks without rewriting code. The operations team requires root access to tweak sysctl parameters and install third-party monitoring agents. Which Google Cloud compute option should you choose?
Compute Engine provides virtual machines where you control the guest operating system. You can load custom kernel modules, adjust sysctl values, and install any required agents or drivers-capabilities that are necessary for the legacy application and not available on the fully managed services.
Cloud Run and Cloud Functions restrict workloads to stateless containers or single-purpose functions; neither grants root-level OS access or supports custom kernel modules. GKE Autopilot abstracts away node management and blocks privileged operations that modify the host kernel, making it unsuitable for this lift-and-shift scenario. Therefore, Compute Engine is the only option that meets all technical and timeline requirements.
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