Cloud platforms offer several compute options that have significant cost implications. As you are planning for the cloud make sure to examine the characteristics of your workload and then select the most suited compute option. In this blog we compare some cloud options and visualize the cost implications.

Here are some compute options available in cloud platforms:

  • General Purpose – for balanced loads 
  • Compute Optimized – for compute intensive loads 
  • Memory Optimized – for memory intensive loads 
  • Storage Optimized – for storage intensive loads

These compute options can be an extremely cost effective way to save costs and get the most suited machine for your workload. If you are planning to deploy a 4 vCPU / 6GB Memory machine in the cloud, the various compute options would incur these cost differentials:

Monthly Costs for a 4 vCPU / 6GB Memory General Purpose compute option for US-East region (Akasia Cloud Modeler output): 

For a general purpose workload AWS offers the lowest priced compute option.

Monthly Costs for a 4 vCPU / 6GB Memory Compute Optimized compute option for US-East region (Akasia Cloud Modeler output): 

For a compute optimized workload GCPoffers the lowest priced compute option.

Monthly Costs for a 4 vCPU / 6GB Memory Memory Optimized compute option for US-East region (Akasia Cloud Modeler output): 

For a memory optimized workload Azure offers the lowest priced compute option.

Comparing the prices for Compute Options for the various compute options side-by-side – 

Monthly Costs for a 4 vCPU / 6GB Memory General Purpose compute option for US-East region. 

AWS offers the lowest priced compute option

Monthly Costs for a 4 vCPU / 6GB Memory Compute Optimizedcompute option for US-East region. 

GCP offers the lowest priced compute option.

Monthly Costs for a 4 vCPU / 6GB Memory Memory Optimized compute option for US-East region. 

Azure offers the lowest priced option.

Here are some takeaways from the cloud costs comparison analysis above:

  1. If you have a balanced workload you will save the most by deploying in AWS.
  2. If you have compute-intensive workload then GCP will help you save the most.
  3. If you have a memory-intensive workload then Azure offers the highest cost savings.

Make sure to model the compute options in the Akasia Cloud Modeler as IBM Cloud becomes cheaper than the other cloud platforms for larger machines.

Create a free account in the Akasia Cloud Modeler to model various compute options as well storage options for different regions and cloud platforms.

View a recording of our webinar from March 27th 2019 that goes into details of how to identify the most suited cloud resources and the highest cloud savings available to you.