Migrate Your Windows Workload to Amazon Web Services Cloud

Amazon Web Services (AWS) is the pioneer of cloud services, with highest uptime SLA (service level agreement) supported by global architecture and more than 175 total services available.

AWS More Capabilities

AWS also delivers unmatched experience in helping customers successfully migrate and scale their Windows workloads through a leading cloud platform. From greater reliability and a faster platform, to lower operational costs, AWS offers the ideal infrastructure for Windows. 
With broader and deeper functionality than other cloud providers, AWS offers features that help organizations maintain and strengthen competitive advantage and deliver superior value for customers by eliminating the constraints of legacy technology for their Windows workloads. 

AWS Business Values

Source: https://pages.awscloud.com/Preview-IDC-The-Business-Value-of-Efficiently-Running-High-Performing-Windows-Workloads-in-the-AWS-Cloud.html

 

Migrate Windows Workload with Metrodata

 

From retiring technical debt to accelerating digital transformation and driving competitive advantage, running Windows applications on AWS, Metrodata as proud AWS Advanced consulting partner can help you unlocks a breadth of benefits. 

Migrating Windows applications to the cloud enables organizations to eliminate legacy processes and focus on initiatives that drive innovation and optimize internal processes. 

Metrodata with numerous expertise of windows workloads, has proven record help customer take advantage of the faster performance, enhanced security, and reduced costs of running Windows applications on AWS. 

 


Metrodata Solution Services Offering

  • Readiness assessment and costs planning
  • Technology proof of concept 
  • Migration Services to Amazon Web Services (AWS) cloud
  • Well Architected Review & Managed Services for Day 2 operations

 

Contact us and let show how our team of experts can help you build, deploy, scale, modernize and innovate Microsoft applications quickly and cost-effectively on AWS.

 



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