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Microsoft Servers on AWS
Quick Start Reference Deployment Guide

Microsoft Servers on the AWS Cloud: Quick Start Reference Deployment

Deployment Guide

AWS Enterprise Accelerator – Offering

Bill Jacobi and Santiago Cardenas — Solutions Architects, Amazon Web Services

June 2016  (last update: November 2016)

This Quick Start reference deployment guide discusses architectural considerations and steps for deploying Microsoft business productivity servers (SharePoint Server, SQL Server, Exchange Server, Lync Server, Web Application Proxy and AD FS) on the Amazon Web Services (AWS) cloud. It also includes links for viewing and launching an AWS CloudFormation template that automates the deployment.

The guide is for IT infrastructure architects, administrators, and DevOps professionals who are planning to implement or extend their Microsoft workloads on the AWS cloud.

This Quick Start is part of a set of AWS Enterprise Accelerator offerings, which help enterprise customers rapidly develop key capabilities for cloud projects.

The following links are for your convenience. Before you launch the Quick Start, please review the architecture, configuration, and other considerations discussed in this guide.

  • If you have an AWS account, and you're already familiar with AWS services and Microsoft business productivity servers, you can launch the Quick Start to build the architecture shown in Figure 1 in a new Amazon Virtual Private Cloud (Amazon VPC). The deployment takes 3-4 hours. If you’re new to AWS or to this Quick Start, please review the implementation details and follow the step-by-step instructions provided later in this guide.

    
              Microsoft Servers Quick Start launch button

  • If you want to take a look under the covers, you can view the AWS CloudFormation template that automates the deployment.

    
              Microsoft Servers Quick Start view template button

About Quick Starts

Quick Starts are automated reference deployments for key workloads on the AWS cloud. Each Quick Start launches, configures, and runs the AWS compute, network, storage, and other services required to deploy a specific workload on AWS, using AWS best practices for security and availability.

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