Question

Difficulty: EasyCapacity Planning and Infrastructure Workload Scaling Optimization

A digital media company is planning the live streaming infrastructure for a high-profile global event on Google Cloud. Baseline estimates show that Compute Engine VM instance requirements during peak stream demand will exceed the project's current regional resource limits. What action must the Lead Cloud Architect take during capacity planning to ensure compute resources scale without interruption?

  1. Request a regional Compute Engine quota increase in advance for the target deployment regions.Answer
  2. B
    Re-architect the streaming application to run on Google Kubernetes Engine (GKE) clusters to bypass Compute Engine quota limits.
  3. C
    Migrate the metadata database from Cloud SQL to Cloud Spanner to automatically increase project-level compute instance quotas.
  4. D
    Provision a Dedicated Interconnect connection to automatically override regional Compute Engine quota limits.

Answer

Request a regional Compute Engine quota increase in advance for the target deployment regions.
Requesting a regional quota increase before the planned workload spike ensures Google Cloud reserves sufficient hardware quota for Compute Engine instance autoscaling.

Step-by-Step Solution

1
Analyze capacity requirements against project limits.
Identified that projected VM instance consumption exceeds existing regional quotas.
Compute Engine enforces regional limits to prevent unexpected resource exhaustion.
2
Identify the proper process to adjust capacity ceilings.
Determine that quota limit increases must be requested via the GCP Console prior to peak workload events.
Quota approvals require time for review and allocation by Google Cloud.

Key Concept

Regional Resource Quota Allocation & Planning
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