A cloud engineer is estimating monthly infrastructure expenses using the Google Cloud Pricing Calculator for a data ingestion pipeline. The workload consists of a fleet of stateless, fault-tolerant virtual machines that run short batch jobs whenever new data files arrive, and the jobs can automatically resume if an instance is terminated. Which configuration choice in the Pricing Calculator provides the most accurate and cost-effective estimate for these batch processing instances?
- Model the instances as Spot Virtual Machines (VMs) to reflect discounted hourly pricing for fault-tolerant workloads.Cevap
- BApply a 3-Year Committed Use Discount (CUD) to the batch instances to achieve the maximum baseline discount for sporadic processing tasks.
- CSelect GKE Autopilot mode under Compute Engine VM settings to automatically eliminate underlying compute instance pricing.
- DConfigure standard Compute Engine instances with Coldline Persistent Disks to lower the hourly VM instance compute rate.
Cevap
Model the virtual machines as Spot VMs in the pricing calculator, as they offer substantial discounts for workloads that are stateless and fault-tolerant.
Spot VMs are excess Compute Engine capacity available at steep discounts compared to standard pricing. Because the scenario specifies that the batch workload is stateless, fault-tolerant, and capable of resuming after termination, choosing Spot VMs in the Google Cloud Pricing Calculator yields the most accurate and cost-effective cost estimate.
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Cost estimation for fault-tolerant compute workloads using Spot VMs in the Google Cloud Pricing Calculator
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