Module Awso_application_autoscaling_asyncSource

Describes the dimension of a metric.

Describes the scaling metric.

Describes the dimension of a metric.

This structure defines the CloudWatch metric to return, along with the statistic and unit.

The metric data to return. Also defines whether this call is returning data for one metric only, or whether it is performing a math expression on the values of returned metric statistics to create a new time series. A time series is a series of data points, each of which is associated with a timestamp.

Represents a specific metric. Metric is a property of the TargetTrackingMetricStat object.

This structure defines the CloudWatch metric to return, along with the statistic and unit. For more information about the CloudWatch terminology below, see Amazon CloudWatch concepts in the Amazon CloudWatch User Guide.

Represents a CloudWatch metric of your choosing for a predictive scaling policy.

Describes a load metric for a predictive scaling policy. When returned in the output of DescribePolicies, it indicates that a predictive scaling policy uses individually specified load and scaling metrics instead of a metric pair. The following predefined metrics are available for predictive scaling: ECSServiceAverageCPUUtilization ECSServiceAverageMemoryUtilization ECSServiceCPUUtilization ECSServiceMemoryUtilization ECSServiceTotalCPUUtilization ECSServiceTotalMemoryUtilization ALBRequestCount ALBRequestCountPerTarget TotalALBRequestCount

Represents a metric pair for a predictive scaling policy. The following predefined metrics are available for predictive scaling: ECSServiceAverageCPUUtilization ECSServiceAverageMemoryUtilization ECSServiceCPUUtilization ECSServiceMemoryUtilization ECSServiceTotalCPUUtilization ECSServiceTotalMemoryUtilization ALBRequestCount ALBRequestCountPerTarget TotalALBRequestCount

Describes a scaling metric for a predictive scaling policy. When returned in the output of DescribePolicies, it indicates that a predictive scaling policy uses individually specified load and scaling metrics instead of a metric pair. The following predefined metrics are available for predictive scaling: ECSServiceAverageCPUUtilization ECSServiceAverageMemoryUtilization ECSServiceCPUUtilization ECSServiceMemoryUtilization ECSServiceTotalCPUUtilization ECSServiceTotalMemoryUtilization ALBRequestCount ALBRequestCountPerTarget TotalALBRequestCount

Describes the dimension names and values associated with a metric.

The metric data to return. Also defines whether this call is returning data for one metric only, or whether it is performing a math expression on the values of returned metric statistics to create a new time series. A time series is a series of data points, each of which is associated with a timestamp. For more information and examples, see Create a target tracking scaling policy for Application Auto Scaling using metric math in the Application Auto Scaling User Guide.

This structure specifies the metrics and target utilization settings for a predictive scaling policy. You must specify either a metric pair, or a load metric and a scaling metric individually. Specifying a metric pair instead of individual metrics provides a simpler way to configure metrics for a scaling policy. You choose the metric pair, and the policy automatically knows the correct sum and average statistics to use for the load metric and the scaling metric.

Represents a step adjustment for a StepScalingPolicyConfiguration. Describes an adjustment based on the difference between the value of the aggregated CloudWatch metric and the breach threshold that you've defined for the alarm. For the following examples, suppose that you have an alarm with a breach threshold of 50: To initiate the adjustment when the metric is greater than or equal to 50 and less than 60, specify a lower bound of 0 and an upper bound of 10. To initiate the adjustment when the metric is greater than 40 and less than or equal to 50, specify a lower bound of -10 and an upper bound of 0. There are a few rules for the step adjustments for your step policy: The ranges of your step adjustments can't overlap or have a gap. At most one step adjustment can have a null lower bound. If one step adjustment has a negative lower bound, then there must be a step adjustment with a null lower bound. At most one step adjustment can have a null upper bound. If one step adjustment has a positive upper bound, then there must be a step adjustment with a null upper bound. The upper and lower bound can't be null in the same step adjustment.

Represents a CloudWatch alarm associated with a scaling policy.

Represents a CloudWatch metric of your choosing for a target tracking scaling policy to use with Application Auto Scaling. For information about the available metrics for a service, see Amazon Web Services services that publish CloudWatch metrics in the Amazon CloudWatch User Guide. To create your customized metric specification: Add values for each required parameter from CloudWatch. You can use an existing metric, or a new metric that you create. To use your own metric, you must first publish the metric to CloudWatch. For more information, see Publish custom metrics in the Amazon CloudWatch User Guide. Choose a metric that changes proportionally with capacity. The value of the metric should increase or decrease in inverse proportion to the number of capacity units. That is, the value of the metric should decrease when capacity increases, and increase when capacity decreases. For more information about the CloudWatch terminology below, see Amazon CloudWatch concepts in the Amazon CloudWatch User Guide.

Represents a predefined metric for a target tracking scaling policy to use with Application Auto Scaling. For more information, Predefined metrics for target tracking scaling policies in the Application Auto Scaling User Guide.

Describes the reason for an activity that isn't scaled (not scaled activity), in machine-readable format. For help interpreting the not scaled reason details, see Scaling activities for Application Auto Scaling in the Application Auto Scaling User Guide.

Represents the minimum and maximum capacity for a scheduled action.

Represents a predictive scaling policy configuration. Predictive scaling is supported on Amazon ECS services.

Represents a step scaling policy configuration to use with Application Auto Scaling. For more information, see Step scaling policies in the Application Auto Scaling User Guide.

Represents a target tracking scaling policy configuration to use with Application Auto Scaling. For more information, see Target tracking scaling policies in the Application Auto Scaling User Guide.

Specifies whether the scaling activities for a scalable target are in a suspended state.

A GetPredictiveScalingForecast call returns the load forecast for a predictive scaling policy. This structure includes the data points for that load forecast, along with the timestamps of those data points and the metric specification.

Represents a scheduled action.

Represents a scaling policy to use with Application Auto Scaling. For more information about configuring scaling policies for a specific service, see Amazon Web Services services that you can use with Application Auto Scaling in the Application Auto Scaling User Guide.

Represents a scaling activity.

Represents a scalable target.

The specified resource doesn't exist.

An exception was thrown for a validation issue. Review the available parameters for the API request.

The request contains too many tags. Try the request again with fewer tags.

Concurrent updates caused an exception, for example, if you request an update to an Application Auto Scaling resource that already has a pending update.

The service encountered an internal error.

A per-account resource limit is exceeded. For more information, see Application Auto Scaling service quotas.

The specified object could not be found. For any operation that depends on the existence of a scalable target, this exception is thrown if the scalable target with the specified service namespace, resource ID, and scalable dimension does not exist. For any operation that deletes or deregisters a resource, this exception is thrown if the resource cannot be found.

Failed access to resources caused an exception. This exception is thrown when Application Auto Scaling is unable to retrieve the alarms associated with a scaling policy due to a client error, for example, if the role ARN specified for a scalable target does not have permission to call the CloudWatch DescribeAlarms on your behalf.

A GetPredictiveScalingForecast call returns the capacity forecast for a predictive scaling policy. This structure includes the data points for that capacity forecast, along with the timestamps of those data points.

The next token supplied was invalid.

Deletes tags from an Application Auto Scaling scalable target. To delete a tag, specify the tag key and the Application Auto Scaling scalable target.

Deletes tags from an Application Auto Scaling scalable target. To delete a tag, specify the tag key and the Application Auto Scaling scalable target.

Adds or edits tags on an Application Auto Scaling scalable target. Each tag consists of a tag key and a tag value, which are both case-sensitive strings. To add a tag, specify a new tag key and a tag value. To edit a tag, specify an existing tag key and a new tag value. You can use this operation to tag an Application Auto Scaling scalable target, but you cannot tag a scaling policy or scheduled action. You can also add tags to an Application Auto Scaling scalable target while creating it (RegisterScalableTarget). For general information about tags, including the format and syntax, see Tagging your Amazon Web Services resources in the Amazon Web Services General Reference. Use tags to control access to a scalable target. For more information, see Tagging support for Application Auto Scaling in the Application Auto Scaling User Guide.

Adds or edits tags on an Application Auto Scaling scalable target. Each tag consists of a tag key and a tag value, which are both case-sensitive strings. To add a tag, specify a new tag key and a tag value. To edit a tag, specify an existing tag key and a new tag value. You can use this operation to tag an Application Auto Scaling scalable target, but you cannot tag a scaling policy or scheduled action. You can also add tags to an Application Auto Scaling scalable target while creating it (RegisterScalableTarget). For general information about tags, including the format and syntax, see Tagging your Amazon Web Services resources in the Amazon Web Services General Reference. Use tags to control access to a scalable target. For more information, see Tagging support for Application Auto Scaling in the Application Auto Scaling User Guide.

Registers or updates a scalable target, which is the resource that you want to scale. Scalable targets are uniquely identified by the combination of resource ID, scalable dimension, and namespace, which represents some capacity dimension of the underlying service. When you register a new scalable target, you must specify values for the minimum and maximum capacity. If the specified resource is not active in the target service, this operation does not change the resource's current capacity. Otherwise, it changes the resource's current capacity to a value that is inside of this range. If you add a scaling policy, current capacity is adjustable within the specified range when scaling starts. Application Auto Scaling scaling policies will not scale capacity to values that are outside of the minimum and maximum range. After you register a scalable target, you do not need to register it again to use other Application Auto Scaling operations. To see which resources have been registered, use DescribeScalableTargets. You can also view the scaling policies for a service namespace by using DescribeScalableTargets. If you no longer need a scalable target, you can deregister it by using DeregisterScalableTarget. To update a scalable target, specify the parameters that you want to change. Include the parameters that identify the scalable target: resource ID, scalable dimension, and namespace. Any parameters that you don't specify are not changed by this update request. If you call the RegisterScalableTarget API operation to create a scalable target, there might be a brief delay until the operation achieves eventual consistency. You might become aware of this brief delay if you get unexpected errors when performing sequential operations. The typical strategy is to retry the request, and some Amazon Web Services SDKs include automatic backoff and retry logic. If you call the RegisterScalableTarget API operation to update an existing scalable target, Application Auto Scaling retrieves the current capacity of the resource. If it's below the minimum capacity or above the maximum capacity, Application Auto Scaling adjusts the capacity of the scalable target to place it within these bounds, even if you don't include the MinCapacity or MaxCapacity request parameters.

Registers or updates a scalable target, which is the resource that you want to scale. Scalable targets are uniquely identified by the combination of resource ID, scalable dimension, and namespace, which represents some capacity dimension of the underlying service. When you register a new scalable target, you must specify values for the minimum and maximum capacity. If the specified resource is not active in the target service, this operation does not change the resource's current capacity. Otherwise, it changes the resource's current capacity to a value that is inside of this range. If you add a scaling policy, current capacity is adjustable within the specified range when scaling starts. Application Auto Scaling scaling policies will not scale capacity to values that are outside of the minimum and maximum range. After you register a scalable target, you do not need to register it again to use other Application Auto Scaling operations. To see which resources have been registered, use DescribeScalableTargets. You can also view the scaling policies for a service namespace by using DescribeScalableTargets. If you no longer need a scalable target, you can deregister it by using DeregisterScalableTarget. To update a scalable target, specify the parameters that you want to change. Include the parameters that identify the scalable target: resource ID, scalable dimension, and namespace. Any parameters that you don't specify are not changed by this update request. If you call the RegisterScalableTarget API operation to create a scalable target, there might be a brief delay until the operation achieves eventual consistency. You might become aware of this brief delay if you get unexpected errors when performing sequential operations. The typical strategy is to retry the request, and some Amazon Web Services SDKs include automatic backoff and retry logic. If you call the RegisterScalableTarget API operation to update an existing scalable target, Application Auto Scaling retrieves the current capacity of the resource. If it's below the minimum capacity or above the maximum capacity, Application Auto Scaling adjusts the capacity of the scalable target to place it within these bounds, even if you don't include the MinCapacity or MaxCapacity request parameters.

Creates or updates a scheduled action for an Application Auto Scaling scalable target. Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scheduled action applies to the scalable target identified by those three attributes. You cannot create a scheduled action until you have registered the resource as a scalable target. When you specify start and end times with a recurring schedule using a cron expression or rates, they form the boundaries for when the recurring action starts and stops. To update a scheduled action, specify the parameters that you want to change. If you don't specify start and end times, the old values are deleted. For more information, see Scheduled scaling in the Application Auto Scaling User Guide. If a scalable target is deregistered, the scalable target is no longer available to run scheduled actions. Any scheduled actions that were specified for the scalable target are deleted.

Creates or updates a scheduled action for an Application Auto Scaling scalable target. Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scheduled action applies to the scalable target identified by those three attributes. You cannot create a scheduled action until you have registered the resource as a scalable target. When you specify start and end times with a recurring schedule using a cron expression or rates, they form the boundaries for when the recurring action starts and stops. To update a scheduled action, specify the parameters that you want to change. If you don't specify start and end times, the old values are deleted. For more information, see Scheduled scaling in the Application Auto Scaling User Guide. If a scalable target is deregistered, the scalable target is no longer available to run scheduled actions. Any scheduled actions that were specified for the scalable target are deleted.

Creates or updates a scaling policy for an Application Auto Scaling scalable target. Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scaling policy applies to the scalable target identified by those three attributes. You cannot create a scaling policy until you have registered the resource as a scalable target. Multiple scaling policies can be in force at the same time for the same scalable target. You can have one or more target tracking scaling policies, one or more step scaling policies, or both. However, there is a chance that multiple policies could conflict, instructing the scalable target to scale out or in at the same time. Application Auto Scaling gives precedence to the policy that provides the largest capacity for both scale out and scale in. For example, if one policy increases capacity by 3, another policy increases capacity by 200 percent, and the current capacity is 10, Application Auto Scaling uses the policy with the highest calculated capacity (200% of 10 = 20) and scales out to 30. We recommend caution, however, when using target tracking scaling policies with step scaling policies because conflicts between these policies can cause undesirable behavior. For example, if the step scaling policy initiates a scale-in activity before the target tracking policy is ready to scale in, the scale-in activity will not be blocked. After the scale-in activity completes, the target tracking policy could instruct the scalable target to scale out again. For more information, see Target tracking scaling policies, Step scaling policies, and Predictive scaling policies in the Application Auto Scaling User Guide. If a scalable target is deregistered, the scalable target is no longer available to use scaling policies. Any scaling policies that were specified for the scalable target are deleted.

Creates or updates a scaling policy for an Application Auto Scaling scalable target. Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scaling policy applies to the scalable target identified by those three attributes. You cannot create a scaling policy until you have registered the resource as a scalable target. Multiple scaling policies can be in force at the same time for the same scalable target. You can have one or more target tracking scaling policies, one or more step scaling policies, or both. However, there is a chance that multiple policies could conflict, instructing the scalable target to scale out or in at the same time. Application Auto Scaling gives precedence to the policy that provides the largest capacity for both scale out and scale in. For example, if one policy increases capacity by 3, another policy increases capacity by 200 percent, and the current capacity is 10, Application Auto Scaling uses the policy with the highest calculated capacity (200% of 10 = 20) and scales out to 30. We recommend caution, however, when using target tracking scaling policies with step scaling policies because conflicts between these policies can cause undesirable behavior. For example, if the step scaling policy initiates a scale-in activity before the target tracking policy is ready to scale in, the scale-in activity will not be blocked. After the scale-in activity completes, the target tracking policy could instruct the scalable target to scale out again. For more information, see Target tracking scaling policies, Step scaling policies, and Predictive scaling policies in the Application Auto Scaling User Guide. If a scalable target is deregistered, the scalable target is no longer available to use scaling policies. Any scaling policies that were specified for the scalable target are deleted.

Returns all the tags on the specified Application Auto Scaling scalable target. For general information about tags, including the format and syntax, see Tagging your Amazon Web Services resources in the Amazon Web Services General Reference.

Returns all the tags on the specified Application Auto Scaling scalable target. For general information about tags, including the format and syntax, see Tagging your Amazon Web Services resources in the Amazon Web Services General Reference.

Retrieves the forecast data for a predictive scaling policy. Load forecasts are predictions of the hourly load values using historical load data from CloudWatch and an analysis of historical trends. Capacity forecasts are represented as predicted values for the minimum capacity that is needed on an hourly basis, based on the hourly load forecast. A minimum of 24 hours of data is required to create the initial forecasts. However, having a full 14 days of historical data results in more accurate forecasts.

Retrieves the forecast data for a predictive scaling policy. Load forecasts are predictions of the hourly load values using historical load data from CloudWatch and an analysis of historical trends. Capacity forecasts are represented as predicted values for the minimum capacity that is needed on an hourly basis, based on the hourly load forecast. A minimum of 24 hours of data is required to create the initial forecasts. However, having a full 14 days of historical data results in more accurate forecasts.

Describes the Application Auto Scaling scheduled actions for the specified service namespace. You can filter the results using the ResourceId, ScalableDimension, and ScheduledActionNames parameters. For more information, see Scheduled scaling in the Application Auto Scaling User Guide.

Describes the Application Auto Scaling scheduled actions for the specified service namespace. You can filter the results using the ResourceId, ScalableDimension, and ScheduledActionNames parameters. For more information, see Scheduled scaling in the Application Auto Scaling User Guide.

Describes the Application Auto Scaling scaling policies for the specified service namespace. You can filter the results using ResourceId, ScalableDimension, and PolicyNames. For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide.

Describes the Application Auto Scaling scaling policies for the specified service namespace. You can filter the results using ResourceId, ScalableDimension, and PolicyNames. For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide.

Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks. You can filter the results using ResourceId and ScalableDimension. For information about viewing scaling activities using the Amazon Web Services CLI, see Scaling activities for Application Auto Scaling.

Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks. You can filter the results using ResourceId and ScalableDimension. For information about viewing scaling activities using the Amazon Web Services CLI, see Scaling activities for Application Auto Scaling.

Gets information about the scalable targets in the specified namespace. You can filter the results using ResourceIds and ScalableDimension.

Gets information about the scalable targets in the specified namespace. You can filter the results using ResourceIds and ScalableDimension.

Deregisters an Application Auto Scaling scalable target when you have finished using it. To see which resources have been registered, use DescribeScalableTargets. Deregistering a scalable target deletes the scaling policies and the scheduled actions that are associated with it.

Deregisters an Application Auto Scaling scalable target when you have finished using it. To see which resources have been registered, use DescribeScalableTargets. Deregistering a scalable target deletes the scaling policies and the scheduled actions that are associated with it.

Deletes the specified scheduled action for an Application Auto Scaling scalable target. For more information, see Delete a scheduled action in the Application Auto Scaling User Guide.

Deletes the specified scheduled action for an Application Auto Scaling scalable target. For more information, see Delete a scheduled action in the Application Auto Scaling User Guide.

Deletes the specified scaling policy for an Application Auto Scaling scalable target. Deleting a step scaling policy deletes the underlying alarm action, but does not delete the CloudWatch alarm associated with the scaling policy, even if it no longer has an associated action. For more information, see Delete a step scaling policy and Delete a target tracking scaling policy in the Application Auto Scaling User Guide.

Deletes the specified scaling policy for an Application Auto Scaling scalable target. Deleting a step scaling policy deletes the underlying alarm action, but does not delete the CloudWatch alarm associated with the scaling policy, even if it no longer has an associated action. For more information, see Delete a step scaling policy and Delete a target tracking scaling policy in the Application Auto Scaling User Guide.