How should you recommend Dress4Win choose machine types for application servers migrating to Google Cloud?
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Correct answer: Identify the virtual cores and RAM of the application VMs, align them to a custom machine type, monitor performance, and scale machine types up until desired performance is reached..
Why this is the answer
The most effective strategy for migrating application servers is to identify the current virtual CPU (vCPU) and RAM of existing VMs. This provides a baseline. Google Cloud's custom machine types allow for precise alignment to these existing specifications, avoiding over-provisioning. After initial deployment, continuous monitoring is crucial to identify actual performance needs. Scaling up the machine type iteratively ensures optimal resource utilization and cost efficiency. Mapping physical cores and RAM directly is often inefficient as cloud vCPUs don't always equate directly to physical cores, and on-premises environments may be over-provisioned. Recommending the highest RAM-to-CPU ratio isn't necessarily optimal; it depends on the application's specific workload. Starting with the smallest instances in production can lead to immediate performance issues and user impact.
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