A global logistics organization manages IoT fleet telemetry pipelines across multiple Google Cloud projects structured within a regional folder hierarchy. The platform engineering team is preparing to launch a fleet telemetry processing cluster in a new expansion region (europe-west9), which requires provisioning 250 Compute Engine N2 virtual machines alongside BigQuery ingestion tables via Infrastructure as Code (IaC). Default project compute quota limits in europe-west9 are insufficient for this workload. To ensure an uninterrupted automated deployment while maintaining proper governance and cost visibility, which action should the cloud architect recommend?
- Audit existing regional Compute Engine quotas in europe-west9 and submit a quota increase request for N2 CPUs prior to executing the deployment pipeline.Answer
- BAssign the primitive Owner role to the CI/CD deployment service account at the folder level so it can automatically bypass regional CPU quota limits.
- CGrant the CI/CD service account the Service Account Admin role across target projects to allow dynamic compute quota adjustment during IaC execution.
- DProceed with IaC execution using default regional quota limits, and manually submit quota requests in the Google Cloud Console only if the pipeline fails.
Answer
Audit existing regional Compute Engine quotas in europe-west9 and submit a quota increase request for N2 CPUs prior to executing the deployment pipeline.
Proactively auditing regional quota limits and requesting an increase prior to initiating automated infrastructure deployment ensures that all 250 N2 Compute Engine instances can be provisioned without hitting quota caps. Quotas are hard platform limits enforced independently of IAM roles.
Step-by-Step Solution
Key Concept
Proactive Resource Quota Management and IaC Provisioning Governance