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Zorluk: OrtaManaging Resource Quotas, Hierarchies, and Cost Optimization

A financial services organization is preparing to deploy a core transaction processing workload into a newly provisioned Google Cloud project. The architecture requires provisioning 250 Compute Engine N2 instances totaling 1,000 vCPUs in the `us-east4` region. During automated pre-deployment validation, the Infrastructure as Code (IaC) pipeline fails, reporting that the requested vCPU count exceeds default project limits. Which action should the Cloud Architect take to resolve this deployment blocker?

  1. Submit a regional quota increase request for N2 vCPUs in the us-east4 region via the Google Cloud Console or Quotas API prior to running the deployment pipeline.Cevap
  2. B
    Grant the primitive Owner role to the deployment service account at the project level to bypass default resource restrictions.
  3. C
    Purchase a 3-year Committed Use Discount (CUD) for N2 vCPUs in us-east4 to automatically expand the project's regional resource quota limits.
  4. D
    Reconfigure the pipeline backend to store the Terraform state file in local storage during execution to clear remote quota state locks.

Cevap

Submit a regional quota increase request for N2 vCPUs in the us-east4 region via the Google Cloud Console or Quotas API prior to running the deployment pipeline.
Submitting a regional vCPU quota increase request directly addresses capacity enforcement in Google Cloud. Google Cloud enforces quotas on Compute Engine resources (such as vCPUs per machine series per region) to manage infrastructure capacity. When workload requirements exceed standard default project limits, an explicit request must be submitted via the Cloud Console or IAM/Quotas API before deployment.

Adım Adım Çözüm

1
Identify the cause of the deployment failure
Recognize that the requested vCPU capacity exceeds default Google Cloud regional quota limits for the N2 machine family in `us-east4`.
GCP projects start with default quota allocations to prevent accidental over-provisioning and resource exhaustion.
2
Evaluate the appropriate GCP management mechanism
Determine that resource limits are controlled via Quotas rather than IAM permissions, CUD billing contracts, or IaC state configurations.
Quotas strictly enforce operational bounds independently of IAM roles or billing discount structures.
3
Formulate the proactive resolution step
Request an increase for the regional N2 vCPU quota in `us-east4` through the Cloud Console or Quotas API.
Proactive quota pre-provisioning ensures necessary capacity is allocated and approved before executing large-scale automated deployments.

Anahtar Kavram

Proactive Quota Management and Planning
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Konular

Managing Resource Quotas, Hierarchies, and Cost Optimization