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aws-sdk-cpp-automation
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AWS Backup Audit Manager framework report.
Add support for PositionFiltering. This release allows customers to change their inbound DMARC settings in Amazon WorkMail. With this release, Application Auto Scaling adds support for Amazon Neptune. Customers can now automatically add or remove Read Replicas of their Neptune clusters to keep the average CPU Utilization at the target value specified by the customers. Released Capacity Reservation Fleet, a feature of Amazon EC2 Capacity Reservations, which provides a way to manage reserved capacity across instance types. For more information: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/cr-fleets.html This release adds tag as an input of CreateConnection
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aws-cpp-sdk-application-autoscaling/include/aws/application-autoscaling/ApplicationAutoScalingClient.h

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@@ -117,19 +117,20 @@ namespace Model
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* (replication groups)</p> </li> <li> <p>Amazon EMR clusters</p> </li> <li>
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* <p>Amazon Keyspaces (for Apache Cassandra) tables</p> </li> <li> <p>Lambda
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* function provisioned concurrency</p> </li> <li> <p>Amazon Managed Streaming for
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* Apache Kafka broker storage</p> </li> <li> <p>Amazon SageMaker endpoint
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* variants</p> </li> <li> <p>Spot Fleet (Amazon EC2) requests</p> </li> <li>
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* <p>Custom resources provided by your own applications or services</p> </li>
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* </ul> <p> <b>API Summary</b> </p> <p>The Application Auto Scaling service API
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* includes three key sets of actions: </p> <ul> <li> <p>Register and manage
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* scalable targets - Register Amazon Web Services or custom resources as scalable
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* targets (a resource that Application Auto Scaling can scale), set minimum and
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* maximum capacity limits, and retrieve information on existing scalable
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* targets.</p> </li> <li> <p>Configure and manage automatic scaling - Define
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* scaling policies to dynamically scale your resources in response to CloudWatch
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* alarms, schedule one-time or recurring scaling actions, and retrieve your recent
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* scaling activity history.</p> </li> <li> <p>Suspend and resume scaling -
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* Temporarily suspend and later resume automatic scaling by calling the <a
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* Apache Kafka broker storage</p> </li> <li> <p>Amazon Neptune clusters</p> </li>
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* <li> <p>Amazon SageMaker endpoint variants</p> </li> <li> <p>Spot Fleets (Amazon
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* EC2)</p> </li> <li> <p>Custom resources provided by your own applications or
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* services</p> </li> </ul> <p> <b>API Summary</b> </p> <p>The Application Auto
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* Scaling service API includes three key sets of actions: </p> <ul> <li>
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* <p>Register and manage scalable targets - Register Amazon Web Services or custom
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* resources as scalable targets (a resource that Application Auto Scaling can
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* scale), set minimum and maximum capacity limits, and retrieve information on
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* existing scalable targets.</p> </li> <li> <p>Configure and manage automatic
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* scaling - Define scaling policies to dynamically scale your resources in
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* response to CloudWatch alarms, schedule one-time or recurring scaling actions,
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* and retrieve your recent scaling activity history.</p> </li> <li> <p>Suspend and
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* resume scaling - Temporarily suspend and later resume automatic scaling by
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* calling the <a
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* href="https://docs.aws.amazon.com/autoscaling/application/APIReference/API_RegisterScalableTarget.html">RegisterScalableTarget</a>
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* API action for any Application Auto Scaling scalable target. You can suspend and
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* resume (individually or in combination) scale-out activities that are triggered
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* <p>To update a scalable target, specify the parameters that you want to change.
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* Include the parameters that identify the scalable target: resource ID, scalable
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* dimension, and namespace. Any parameters that you don't specify are not changed
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* by this update request. </p><p><h3>See Also:</h3> <a
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* by this update request. </p> <p>If you call the
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* <code>RegisterScalableTarget</code> API to update an existing scalable target,
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* Application Auto Scaling retrieves the current capacity of the resource. If it
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* is below the minimum capacity or above the maximum capacity, Application Auto
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* Scaling adjusts the capacity of the scalable target to place it within these
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* bounds, even if you don't include the <code>MinCapacity</code> or
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* <code>MaxCapacity</code> request parameters.</p> <p><h3>See Also:</h3>
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* <a
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* href="http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/RegisterScalableTarget">AWS
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* API Reference</a></p>
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*/
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* <p>To update a scalable target, specify the parameters that you want to change.
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* Include the parameters that identify the scalable target: resource ID, scalable
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* dimension, and namespace. Any parameters that you don't specify are not changed
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* by this update request. </p><p><h3>See Also:</h3> <a
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* by this update request. </p> <p>If you call the
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* <code>RegisterScalableTarget</code> API to update an existing scalable target,
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* Application Auto Scaling retrieves the current capacity of the resource. If it
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* is below the minimum capacity or above the maximum capacity, Application Auto
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* Scaling adjusts the capacity of the scalable target to place it within these
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* bounds, even if you don't include the <code>MinCapacity</code> or
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* <code>MaxCapacity</code> request parameters.</p> <p><h3>See Also:</h3>
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* <a
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* href="http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/RegisterScalableTarget">AWS
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* API Reference</a></p>
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*
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* <p>To update a scalable target, specify the parameters that you want to change.
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* Include the parameters that identify the scalable target: resource ID, scalable
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* dimension, and namespace. Any parameters that you don't specify are not changed
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* by this update request. </p><p><h3>See Also:</h3> <a
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* by this update request. </p> <p>If you call the
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* <code>RegisterScalableTarget</code> API to update an existing scalable target,
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* Application Auto Scaling retrieves the current capacity of the resource. If it
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* is below the minimum capacity or above the maximum capacity, Application Auto
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* Scaling adjusts the capacity of the scalable target to place it within these
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* bounds, even if you don't include the <code>MinCapacity</code> or
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* <code>MaxCapacity</code> request parameters.</p> <p><h3>See Also:</h3>
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* <a
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* href="http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/RegisterScalableTarget">AWS
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* API Reference</a></p>
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*

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