An enterprise organization is migrating a legacy backend service to Google Cloud. The application requires direct access to specific Linux kernel modules, custom system daemon configurations, and strict operating system level tweaks that cannot be containerized without extensive software modification. Which Google Cloud compute platform should the solution architect select to satisfy these requirements with minimal re-engineering?
- Compute Engine virtual machines running custom operating system imagesAnswer
- BGoogle Kubernetes Engine (GKE) Autopilot clusters with custom node pools
- CCloud Run services deployed from custom container images
- DApp Engine Standard Environment instance groups
Answer
Compute Engine virtual machines running custom operating system images is the optimal compute platform choice.
Compute Engine delivers Infrastructure as a Service (IaaS), granting full administrative access to the guest operating system. This allows administrators to install custom kernel modules, run specialized system daemons, and perform OS-level tuning required by legacy software.
Step-by-Step Solution
Key Concept
Matching Compute Platform Abstraction Level to OS Control Requirements