An enterprise team is preparing to launch a high-throughput data processing application on Google Compute Engine that requires hundreds of new VM instances in a specific region. To ensure the automated scaling policies will execute reliably without running into infrastructure restriction failures during peak demand, which capacity planning action should the Cloud Architect perform prior to deployment?
- Verify regional resource limits and submit a request for regional Compute Engine quota increases in advance.Answer
- BRely on default project limits and request quota extensions only after instance creation errors occur in production.
- CConfigure the Managed Instance Group autoscaling policy to monitor only average CPU utilization for batch memory workloads.
- DDeploy a multi-zonal Google Kubernetes Engine (GKE) cluster to handle simple stateless virtual machine capacity.
Answer
Verify regional resource limits and submit a request for regional Compute Engine quota increases in advance.
Proactive quota management is a fundamental requirement of capacity planning in Google Cloud. Verifying and requesting necessary regional resource quota increases in advance guarantees that Managed Instance Groups and autoscalers can provision required instances without hitting API or quota caps during peak scaling events.
Step-by-Step Solution
Key Concept
Proactive Quota Request and Capacity Planning