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Microsoft Windows Server Workloads: 5 Benefits of Running Them in the AWS Cloud

Demand de work Microsoft Windows Server: 5 Benefits de run them en la cloud de AWS

Microsoft Windows Server Workloads: 5 Benefits of Running Them in the AWS Cloud

There are many reasons why companies trust Windows Server with their eyes closed. However, something very different happens when it comes to transfer Microsoft workloads to the public cloud.

Surprisingly, there is an easy way to run Windows Server and SQL Server workloads and that is the AWS cloud. Amazon Web Services (AWS) is, in fact, the cloud platform preferred by millions of customers.


If you found this post interesting, we invite you to download our free Ebook «How to migrate to Amazon Web Services?«

Its users include large companies, as well as start-ups, SMEs, global leaders and government offices.

En one of our previous articles, we already talked about the migration of Microsoft workloads. Now, we want to tell you five benefits of running workloads dedicated to Windows Server and SQL Server. Go for it.

What are the benefits?

Cost reduction and the ability for cloud providers to unlock Microsoft's offerings is One of the undeniable advantages of AWSThese products include SQL Server and Windows Server.

For SMEs with multiple locations, to name a few specific companies, these advantages can help boost their ventures by representing significant savings in costs and investment.

Here are 5 reasons why an enterprise organization should adopt AWS for its Microsoft systems.

1. Greater savings

Since it was launched in 2006, AWS has reduced its prices at least 85 times. The idea of Offer flexible and transparent pricing has helped many businesses of all sizes make the switch to this affordable public cloud.

It offers savings plans from 1 to 3 years so that companies can choose the options that best suit them and that allow a cost reduction of up to 72%.

Additionally, AWS has “advisors” to help you understand each of the costs and modalities. An example is the Trusted Advisor , a tool that allows you to evaluate savings opportunities through real-time assistance.

2 Simplicity

It is the most popular and secure public cloud for running Microsoft Windows Server and SQL Server workloads that can be strategic for businesses.

This functionality and simplicity saves costs and adds features to reduce total expenses throughout the year. If there is one thing that defines AWS, it is simplicity in costs and licensing.

3. Machine learning

AWS offers smart tools that help lower costs for customers. These include AWS Compute Optimizer, AWS Windows Optimization (AWS OLA), and Amazon CodeGuru.

AWS OLA, for example, makes it easier for customers to choose options that allow them to save the most money when implementing Windows: optimizing licenses and provisioning infrastructure based on actual resource consumption.

4. Migration and support for Windows

The platform facilitates the End of Support Migration Program (EMP) for Windows Server, allowing users to seamlessly transfer legacy Windows Server applications from previous versions without any code changes.

Esto No extra charges for support extension, as is the case with other cloud space providers.

5. Accompaniment

Among the advantages of AWS is the Accompanying migration of Microsoft workloads with Cloudamize, CloudChomp or Migration EvaluatorBy using Migration Evaluator before running the migration, companies can achieve savings of 36% over 3 years.

Additionally, the platform facilitates access for organizations and companies to experienced groups to obtain prescriptive advice, training and support for IT professionals who require help.

Thinking about moving your Microsoft workloads to the cloud? Trust AWS and APser as your allies. We have extensive experience in managing critical workloads and implementing AWS cloud services.


Contact Us and make the move to the cloud in a flexible and secure way. At apser we will be happy to help you find the best option.

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We help companies from different sectors and sizes to innovate and adapt to new scenarios to achieve their objectives in Cloud Infrastructures, Analytics, Transformation through Generative AI & Machine Learning and User or Customer Service.

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Last updated October 2024

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