An enterprise digital publishing platform is preparing for a scheduled major global news event projected to surge traffic by 500% over a 3-hour period. The core application runs on Google Cloud using a Compute Engine Managed Instance Group (MIG) with CPU-based autoscaling. Capacity evaluation shows that scaling to the required 400 N2 virtual machines will exceed the project's current regional CPU quota. Which capacity planning strategy should the Cloud Architect implement to ensure the infrastructure successfully scales during the event?
- Submit a quota increase request for regional N2 CPUs in advance and create zonal capacity reservations for the required instance count.Answer
- BMigrate the application workload from Compute Engine to Google Kubernetes Engine (GKE) to bypass Compute Engine quota restrictions.
- CProvision a Dedicated Interconnect connection to expand hybrid network bandwidth prior to the traffic spike.
- DRely on the MIG autoscaling policy to dynamically request additional quota from Google Cloud when CPU utilization reaches 80%.
Answer
Submit a quota increase request for regional N2 CPUs in advance and create zonal capacity reservations for the required instance count.
Submitting an advance regional quota increase request ensures project limits allow the necessary N2 vCPU allocation. Combining quota increases with zonal capacity reservations guarantees that physical hardware remains available in specified zones during large-scale autoscaling.
Step-by-Step Solution
Key Concept
Proactive capacity management through regional quota expansion and zonal compute reservations for predictable traffic spikes.