A financial enterprise is expanding its online payment fraud detection infrastructure across several regional Google Cloud projects. The team plans to deploy multiple Compute Engine N2 compute clusters in a newly added Google Cloud region (`us-east5`) next month. To ensure successful resource deployment without operational interruptions, adhere to least-privilege governance, and control unexpected cloud spend, which TWO actions should the Lead Cloud Architect implement?
- Submit a quota increase request for N2 CPUs in the target region (`us-east5`) via the Google Cloud Console or Service Quotas API prior to launching the migration scripts.Cevap
- Export Cloud Billing data to BigQuery and set up automated Cloud Monitoring budget alerts tied to Pub/Sub notifications for proactive spending management.Cevap
- CAssign the IAM Owner primitive role to the deployment pipeline service account at the Organization level to bypass regional quota enforcement.
- DGrant developers the Service Account Admin role (`roles/iam.serviceAccountAdmin`) on project folders so they can manage quota allocations dynamically.
Cevap
Submit a quota increase request for N2 CPUs in the target region ('us-east5') in advance, and export Cloud Billing data to BigQuery while setting up Cloud Monitoring budget alerts with Pub/Sub notifications.
Proactively requesting regional quota increases in `us-east5` guarantees compute capacity is available prior to provisioning. Combining BigQuery billing exports with Pub/Sub budget alerts allows real-time cost tracking and automated governance.
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Anahtar Kavram
Managing Resource Quotas, Hierarchies, and Cost Optimization