Migrate third‑party VMs to Google Cloud and determine optimal CPU/memory for consistent workloads while minimizing cost.

The correct approach is to provision a Compute Engine VM that initially matches the on-premise machine's specifications. Installing the Monitoring agent allows for data collection on actual resource usage during normal-load tests. Google Cloud's Rightsizing Recommendations, based on this monitoring data, can then accurately suggest optimal CPU and memory configurations to minimize cost while ensuring consistent performance for the workload. The other options are less effective: Autoscaling based on an arbitrary small machine type without prior data risks under-provisioning or over-provisioning. App Engine flexible is for applications, not direct VM migration, and setting CPU/memory to match on-prem doesn't guarantee optimal sizing in a cloud environment. Running high-traffic load tests across multiple VM types is resource-intensive and might not reflect typical usage, leading to over-provisioning.