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Zorluk: ZorEstimating GCP Costs with the Pricing Calculator

A solutions architect is creating a comprehensive monthly cost model using the Google Cloud Pricing Calculator for an enterprise hybrid deployment. The planned workload consists of a stateful transactional database cluster operating continuously 24/7 on Compute Engine virtual machines, as well as a high-frequency real-time analytics pipeline that continuously reads and writes user telemetry data to Cloud Storage. Which TWO configuration parameters or cost estimation strategies should the architect include in the Google Cloud Pricing Calculator to ensure an accurate, optimal cost model? (Select TWO)

  1. Apply Committed Use Discounts (CUDs) or Sustained Use Discounts (SUDs) to the continuously running 24/7 Compute Engine database virtual machines.Cevap
  2. B
    Select Spot VM instances for the 24/7 primary transactional database cluster to achieve maximum percentage cost reductions.
  3. Include associated persistent disk storage capacity, snapshot storage, and projected network egress traffic alongside VM instance core pricing.Cevap
  4. D
    Choose Archive Storage class for the real-time user telemetry bucket to minimize monthly storage capacity reservation costs.

Cevap

The accurate estimation requires applying Committed Use Discounts (CUDs) or Sustained Use Discounts (SUDs) to 24/7 database virtual machines, and explicitly adding persistent disk capacity, snapshot storage, and egress network bandwidth to the pricing calculator.
Applying Committed Use Discounts (CUDs) or Sustained Use Discounts (SUDs) reflects realistic pricing for 24/7 database instances. In addition, persistent disk storage, snapshots, and network egress bandwidth are separate line items in Google Cloud billing that must be explicitly specified in the pricing calculator alongside compute VM configurations.

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1
Analyze database compute availability requirements and discount eligibility.
Since the transactional database runs 24/7, it qualifies for Sustained Use Discounts (SUDs) or Committed Use Discounts (CUDs). Spot VMs are unviable due to preemption risks on stateful workloads.
Committed and sustained use discounts provide substantial cost savings for predictable, non-preemptible workloads.
2
Identify all billable components tied to Compute Engine instances beyond CPU and RAM.
Persistent disks (PD-Standard, PD-SSD), disk snapshot storage, and outbound network egress generate separate charges.
The pricing calculator evaluates compute nodes separately from storage and network traffic; omitting storage or egress yields under-budgeted estimates.
3
Evaluate storage class access patterns for the telemetry data pipeline.
High-frequency, real-time analytics data must use Standard Storage class to avoid data retrieval penalties associated with Coldline or Archive classes.
Infrequent access classes carry high per-GB retrieval fees that outweigh storage savings when accessed continuously.

Anahtar Kavram

Accurate GCP cost modeling requires pairing appropriate compute discount models (CUD/SUD) with stateful workloads, factoring in non-compute resources (disks, egress), and selecting storage classes based on access frequency.
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Estimating GCP Costs with the Pricing Calculator

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