Calculating Cost Estimate for Kubernetes Cluster

C.

When estimating the cost of a Kubernetes cluster on Google Cloud Platform (GCP), you need to consider several factors, such as the number of nodes, CPU and memory requirements, storage, and other add-ons such as GPUs, snapshots, and management costs. Given the scenario that you require high IOPs and will be using disk snapshots, you should follow these steps:

1. Enter the number of nodes, average hours, and average days: You can start by estimating the number of nodes required to support your workload, along with the average hours and days that the nodes will be running. This information will help you calculate the instance hours and machine type required for your workload.

2. Fill in persistent disk storage and snapshot storage: Since your workload requires high IOPs, you should estimate the amount of persistent disk storage required for your nodes. You can use the pricing calculator to estimate the cost of persistent disk storage based on the size and type of disk. Additionally, you should estimate the cost of snapshot storage based on the frequency and size of your snapshots.

3. Add estimated cost for cluster management: You can estimate the cost of managing your Kubernetes cluster using GCP's Kubernetes Engine pricing. The cost of managing your cluster will depend on factors such as the number of nodes, the type of machine, and the level of support required.

Therefore, the correct answer would be option B, which involves filling in both persistent disk storage and snapshot storage.