How to Choose Cloud Platform: Aws Vs Azure Vs Gcp

Date: Oct 24, 2022

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Abstract: This article compares the prices for computing and storage across AWS, Azure, and Google Cloud to highlight the subtle variations between different service providers.

The IaaS (infrastructure as a service) sector is expanding like it's on steroids as the world pushes past the constraints of on-premises computing. In fact, due to enterprises' confidence in cloud adoption to avoid backup problems, scaling challenges, storage constraints, and server maintenance headaches, it is expected to grow by a little over $136 billion by 2025. Indeed, cloud platforms have evolved significantly from being limited to virtual machines to become a veritable gold mine of services.

AWS, Azure, and Google Cloud are all expected to grow in importance alongside the global IaaS market. But because each one serves a distinct segment of the market, they will develop at varying rates.


The engine that drives the AWS IaaS platform is EC2, with its unrivaled 400 Gbps Ethernet, 400 instances, and easy-to-manage computational capability. But the competitors are getting near enough to compete. Both Google's Compute Engine and Azure's Virtual Machines provide excellent scalability options that let you adjust the memory, storage, and compute performance for any demand. Although their network speeds are not quite as fast as AWS's, the breadth of machine configurations more than makes up for it.

Comparative cost for cloud storage
How do the prices for storage vary amongst these big cloud providers?

Here is a comparison of costs for three similar regions: Northern Virginia (us-east4) in Google Cloud Platform, Azure East US, and AWS US East (Northern Virginia).

These cloud service providers clearly engage in intense competition with one another and have established comparable price points for storage services, with Azure standing out as the most affordable option. Before choosing a storage solution, be sure to consider additional cost factors like data transport or operating costs.

Additionally, take attention to how the company handles price adjustments.

Recently, Google Cloud Platform increased prices significantly for a number of its fundamental storage-related services. Price increases could have an impact on other services and cloud providers.

Compute pricing comparison

Virtual computers with various hardware and performance specs are released by providers. You might as a result end up with an instance type that offers powerful (and expensive!) performance that your teams don't truly require.

Benchmarking allows you to execute the identical task on each machine and compare their performance to determine what you're really paying for.

You might find something interesting using this method, just like we did. The graph below illustrates how the AWS CPU (t2.2xlarge with eight virtual cores) operates at various times following multiple periods of inactivity. Would you anticipate such erratic CPU activity from a single cloud service provider?

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