GCP Professional Cloud Architect Practice Question
A travel-booking company runs 200 stateless Java microservices in two-region GKE Autopilot clusters. Weekday average CPU utilization is 50%, but it drops below 10% every weekend. The CFO asks you to cut the steady-state cloud bill while maintaining the current availability SLA. Which architectural change is most likely to yield the greatest ongoing cost savings?
Keep GKE Autopilot but buy Standard committed use discounts for a baseline amount of vCPU and memory matching average weekday usage.
Replace Autopilot with standard GKE nodes sized to weekday peaks using custom machine types and purchase one-year committed use discounts for the nodes.
Migrate the microservices to Cloud Run so they scale to zero during idle periods, and enroll in an enterprise-level spend-based discount program.
Enable the GKE cluster autoscaler to use Spot VMs for 60% of the node pool capacity, retaining regular on-demand VMs for the remainder.
Because the workloads are stateless HTTP services that experience long idle windows on weekends, moving them to Cloud Run can eliminate costs during idle periods-Cloud Run scales instances to zero and charges only for cpu-seconds, memory-seconds, and request counts while traffic is being served. GKE Autopilot, committed use discounts, or custom machine types still incur charges for reserved capacity 24×7, even when utilization is low. Spot VMs reduce unit cost but continue billing for the whole weekend footprint and introduce preemption risk. Therefore, migrating to Cloud Run with per-request billing offers the largest savings while preserving availability through Cloud Run's automatic multi-zone scaling.
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