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@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.awsnative.applicationautoscaling.kotlin.inputs
import com.pulumi.awsnative.applicationautoscaling.inputs.ScalingPolicyCustomizedMetricSpecificationArgs.builder
import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.List
import kotlin.jvm.JvmName
/**
* Contains customized metric specification information for a target tracking scaling policy for Application Auto Scaling.
* For information about the available metrics for a service, see [services that publish CloudWatch metrics](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/aws-services-cloudwatch-metrics.html) 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](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/publishingMetrics.html) 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 an example of how creating new metrics can be useful, see [Scaling based on Amazon SQS](https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-using-sqs-queue.html) in the *Amazon EC2 Auto Scaling User Guide*. This topic mentions Auto Scaling groups, but the same scenario for Amazon SQS can apply to the target tracking scaling policies that you create for a Spot Fleet by using Application Auto Scaling.
* For more information about the CloudWatch terminology below, see [Amazon CloudWatch concepts](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_concepts.html).
* ``CustomizedMetricSpecification`` is a property of the [AWS::ApplicationAutoScaling::ScalingPolicy TargetTrackingScalingPolicyConfiguration](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration.html) property type.
* @property dimensions The dimensions of the metric.
* Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
* @property metricName The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the [Metric](https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_Metric.html) object that's returned by a call to [ListMetrics](https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_ListMetrics.html).
* @property metrics The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions.
* @property namespace The namespace of the metric.
* @property statistic The statistic of the metric.
* @property unit The unit of the metric. For a complete list of the units that CloudWatch supports, see the [MetricDatum](https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_MetricDatum.html) data type in the *Amazon CloudWatch API Reference*.
*/
public data class ScalingPolicyCustomizedMetricSpecificationArgs(
public val dimensions: Output>? = null,
public val metricName: Output? = null,
public val metrics: Output>? = null,
public val namespace: Output? = null,
public val statistic: Output? = null,
public val unit: Output? = null,
) :
ConvertibleToJava {
override fun toJava(): com.pulumi.awsnative.applicationautoscaling.inputs.ScalingPolicyCustomizedMetricSpecificationArgs =
com.pulumi.awsnative.applicationautoscaling.inputs.ScalingPolicyCustomizedMetricSpecificationArgs.builder()
.dimensions(
dimensions?.applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 ->
args0.toJava()
})
})
}),
)
.metricName(metricName?.applyValue({ args0 -> args0 }))
.metrics(
metrics?.applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 ->
args0.toJava()
})
})
}),
)
.namespace(namespace?.applyValue({ args0 -> args0 }))
.statistic(statistic?.applyValue({ args0 -> args0 }))
.unit(unit?.applyValue({ args0 -> args0 })).build()
}
/**
* Builder for [ScalingPolicyCustomizedMetricSpecificationArgs].
*/
@PulumiTagMarker
public class ScalingPolicyCustomizedMetricSpecificationArgsBuilder internal constructor() {
private var dimensions: Output>? = null
private var metricName: Output? = null
private var metrics: Output>? = null
private var namespace: Output? = null
private var statistic: Output? = null
private var unit: Output? = null
/**
* @param value The dimensions of the metric.
* Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
*/
@JvmName("vevqoekbhuaxrmnq")
public suspend fun dimensions(`value`: Output>) {
this.dimensions = value
}
@JvmName("cdwsncecjrtxmavs")
public suspend fun dimensions(vararg values: Output) {
this.dimensions = Output.all(values.asList())
}
/**
* @param values The dimensions of the metric.
* Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
*/
@JvmName("oxpddchdpfkoopko")
public suspend fun dimensions(values: List