An enterprise plan involves migrating a legacy batch-processing platform requiring 500 high-capacity Compute Engine Virtual Machines to a single target GCP region within a strict maintenance window. Prior to executing the migration script, which proactive capacity planning step must the cloud architect take to prevent deployment failure due to resource limits?
- Audit existing project quotas and submit a regional quota increase request for Compute Engine CPU cores and instances prior to deployment.Cevap
- BMigrate all legacy virtual machines directly into Google Kubernetes Engine (GKE) node pools to bypass Google Cloud regional quota requirements.
- CProceed with deploying all 500 instances immediately and rely on default regional quotas to automatically scale up capacity upon demand.
- DConfigure an instance group autoscaling policy based strictly on CPU utilization to override project resource limits.
Cevap
Audit existing project quotas and submit a regional quota increase request for Compute Engine CPU cores and instances prior to deployment.
The correct answer emphasizes requesting regional quota increases in advance. Google Cloud enforces project resource quotas to prevent unexpected consumption and protect infrastructure. When deploying large workloads (such as 500 Compute Engine instances), architects must verify quota availability and request increases early to prevent API provisioning failures.
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Anahtar Kavram
Regional Quota Management and Infrastructure Provisioning Limits