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AWS Organizations is an account management service that enables you to consolidate multiple AWS accounts into an organization that you create and centrally manage. AWS Organizations includes consolidated billing and account management capabilities that enable you to better meet the budgetary, security, and compliance needs of your business. As an administrator of an organization, you can create accounts in your organization and invite existing accounts to join the organization. This user guide defines key concepts for AWS Organizations and explains how to use the service.

AWS Migration Hub provides a single place to discover your existing servers, plan migrations, and track the status of each application migration. The AWS Migration Hub provides visibility into your application portfolio and streamlines planning and tracking. You can see the status of the servers and databases that make up each of the applications you are migrating regardless of which migration tool you are using. AWS Migration Hub gives you the choice to start migrating right away and group servers while migration is underway, or to first discover servers and then group them into applications. Either way, you can migrate each server in an application and track progress from each tool in the AWS Migration Hub. It supports migration status updates from AWS Database Migration Service, AWS Server Migration Service, ATADATA ATAmotion, CloudEndure Live Migration, and Racemi DynaCenter.

Amazon EC2 Auto Scaling helps you ensure that you have the correct number of Amazon EC2 instances available to handle the load for your application. You create collections of EC2 instances, called Auto Scaling groups. You can specify the minimum number of instances in each Auto Scaling group, and Auto Scaling ensures that your group never goes below this size. You can specify the maximum number of instances in each Auto Scaling group, and Auto Scaling ensures that your group never goes above this size. If you specify the desired capacity, either when you create the group or at any time thereafter, Auto Scaling ensures that your group has this many instances. If you specify scaling policies, then Auto Scaling can launch or terminate instances as demand on your application increases or decreases. For example, the following Auto Scaling group has a minimum size of 1 instance, a desired capacity of 2 instances, and a maximum size of 4 instances. The scaling policies that you define adjust the number of instances, within your minimum and maximum number of instances, based on the criteria that you specify.

With Amazon Kinesis Data Analytics, you can process and analyze streaming data using standard SQL. The service enables you to quickly author and run powerful SQL code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics.To get started with Kinesis Data Analytics, you create a Kinesis data analytics application that continuously reads and processes streaming data. The service supports ingesting data from Amazon Kinesis Data Streams and Amazon Kinesis Data Firehose streaming sources. Then, you author your SQL code using the interactive editor and test it with live streaming data. You can also configure destinations where you want Kinesis Data Analytics to send the results.Kinesis Data Analytics supports Amazon Kinesis Data Firehose (Amazon S3, Amazon Redshift, and Amazon Elasticsearch Service), AWS Lambda, and Amazon Kinesis Data Streams as destinations.

Welcome to the Amazon VPC Network Administrator Guide. This guide is for customers who plan to use an AWS managed IPsec VPN connection with their virtual private cloud (VPC). The topics in this guide help you configure your customer gateway, which is the device on your side of the VPN connection.The VPN connection lets you bridge your VPC and IT infrastructure, and extend your existing security and management policies to EC2 instances in your VPC as if they were running within your own infrastructure.