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Zorluk: OrtaCapacity Planning and Infrastructure Workload Scaling Optimization

An online education platform processes high-resolution video transcoding jobs using batch worker instances in a Compute Engine Managed Instance Group (MIG). During scheduled nationwide exam periods, job submission rates surge dramatically, leading to queue delays. The operations team notices that the MIG autoscaler fails to launch additional VM instances beyond a specific threshold during peak demand due to resource allocation failures. Which strategy should the Cloud Architect implement to optimize capacity planning and ensure seamless workload scaling?

  1. Submit a regional vCPU quota increase request in advance of scheduled high-demand periods and configure scheduled scaling rules on the Managed Instance Group.Cevap
  2. B
    Increase the maximum instance count limit in the Managed Instance Group autoscaling policy to 500 without altering project quota settings.
  3. C
    Reconfigure the Managed Instance Group autoscaling policy to scale exclusively based on target CPU utilization instead of queue depth metrics.
  4. D
    Migrate the video transcoding worker nodes to a Google Kubernetes Engine (GKE) Autopilot cluster to bypass all GCP resource quotas automatically.

Cevap

Submit a regional vCPU quota increase request in advance of scheduled high-demand periods and configure scheduled scaling rules on the Managed Instance Group.
Proactive capacity planning for predictable high-demand events requires requesting regional vCPU quota increases prior to the event. Combining this with scheduled scaling on the Compute Engine MIG ensures compute resources are pre-provisioned and available before workload queues begin to back up.

Adım Adım Çözüm

1
Identify the bottleneck limiting infrastructure scaling during peak events.
Resource allocation failures during peak surges indicate hitting GCP regional resource quotas (e.g., regional vCPU quota).
MIG autoscalers cannot provision VMs beyond the project's enforced GCP resource quotas regardless of target metric configurations.
2
Select a proactive capacity management mechanism for predictable traffic surges.
Request quota increases in advance and use MIG scheduled scaling.
Quota increases require lead time for approval and provisioning. Scheduled scaling ensures capacity is ready before traffic spikes arrive.

Anahtar Kavram

Capacity Planning and Regional Resource Quota Management
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Konular

Capacity Planning and Infrastructure Workload Scaling Optimization