When comparing cloud platforms for a potential cloud deployment, it can be challenging to

get a so$-$called "apples$-$to$-$apples" comparison in which you're looking at the corresponding

products in each platform. For example, none of the platforms use the same instance type

names. So how are you supposed to know you're comparing the same kind of instance to get

an accurate picture of how costs compare? This is the question you will explore in this

project. Complete the following steps:

$1.$ In each of the three CSPs covered in this course $($AWS$,$ Azure, and GCP$),$ use their

pricing calculators to determine the cost of a robust Windows server and a

lightweight Linux server with $100$ percent utilization for one month. Try to find an

instance type for each platform that is as close to identical as possible to each

other for each of these servers. For example, if your Windows server in AWS has $16$

vCPUs and $96$ GiB of RAM, make sure you choose an instance type in Azure and in

GCP with an identical ratio of resources. Similarly, if the AWS Windows instance is

compute optimized, choose a compute$-$optimized instance in Azure and GCP as

well. Also make sure the storage volume for each Windows comparison and for

each Linux comparison match across cloud platforms. Complete Table $3-6$ and

Table $3-7.$ Adjust your selections as needed to try to get all three instances in each

table closely matched in price as well as resource configuration.

Table $3-6$ Robust Windows instance comparison