A DevOps engineering lead is deploying an automated machine learning batch inference pipeline in a Google Cloud project named `ml-inference-prod`. The workload requires scaling Compute Engine instances across multiple zones in the `europe-west1` region, requiring a total of 256 N2 CPUs. When executing the infrastructure deployment, the process fails with a quota exceeded error indicating that the current regional N2 CPU limit is capped at 64. What is the correct procedure to resolve this limitation and allow the deployment to proceed?
- Submit a quota increase request for N2 CPUs in `europe-west1` via the Quotas section in the Google Cloud Console, specifying 256 as the requested limit along with a business justification.Answer
- BIncrease the monthly budget limit under Billing & Cost Management so Google Cloud automatically scales up regional CPU quotas to match the new spending threshold.
- CGrant the deployment service account the Owner primitive role (`roles/owner`) at the organization level so it can dynamically bypass regional quota boundaries.
- DProvision a second Google Cloud project in the same organization folder to aggregate and pool N2 CPU quotas across both projects.
Answer
Submit a quota increase request for N2 CPUs in europe-west1 via the Quotas section in the Google Cloud Console, specifying 256 as the requested limit along with a business justification.
Resource quotas enforce hard limits on GCP resource usage per project and region. To exceed standard quota boundaries, an explicit quota increase request must be submitted via the Quotas page in the Google Cloud Console or using the Cloud Quotas API, providing appropriate justification.
Step-by-Step Solution
Key Concept
Managing and Requesting GCP Resource Quotas
Estimated Time:1m 30s