Struct PredictiveScalingPredefinedMetricPair 

#[non_exhaustive]
pub struct PredictiveScalingPredefinedMetricPair {
    pub predefined_metric_type: Option<PredefinedMetricPairType>,
    pub resource_label: Option<String>,
}

Represents a metric pair for a predictive scaling policy.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

predefined_metric_type: Option<PredefinedMetricPairType>

Indicates which metrics to use. There are two different types of metrics for each metric type: one is a load metric and one is a scaling metric. For example, if the metric type is ASGCPUUtilization, the Auto Scaling group's total CPU metric is used as the load metric, and the average CPU metric is used for the scaling metric.

resource_label: Option<String>

A label that uniquely identifies a specific Application Load Balancer target group from which to determine the total and average request count served by your Auto Scaling group. You can't specify a resource label unless the target group is attached to the Auto Scaling group.

You create the resource label by appending the final portion of the load balancer ARN and the final portion of the target group ARN into a single value, separated by a forward slash (/). The format of the resource label is:

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff.

Where:

• app/ / is the final portion of the load balancer ARN

• targetgroup/ / is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

Implementations

impl PredictiveScalingPredefinedMetricPair

pub fn predefined_metric_type(&self) -> Option<&PredefinedMetricPairType>

Indicates which metrics to use. There are two different types of metrics for each metric type: one is a load metric and one is a scaling metric. For example, if the metric type is ASGCPUUtilization, the Auto Scaling group's total CPU metric is used as the load metric, and the average CPU metric is used for the scaling metric.

pub fn resource_label(&self) -> Option<&str>

A label that uniquely identifies a specific Application Load Balancer target group from which to determine the total and average request count served by your Auto Scaling group. You can't specify a resource label unless the target group is attached to the Auto Scaling group.

You create the resource label by appending the final portion of the load balancer ARN and the final portion of the target group ARN into a single value, separated by a forward slash (/). The format of the resource label is:

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff.

Where:

• app/ / is the final portion of the load balancer ARN

• targetgroup/ / is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

impl PredictiveScalingPredefinedMetricPair

pub fn builder() -> PredictiveScalingPredefinedMetricPairBuilder

Creates a new builder-style object to manufacture PredictiveScalingPredefinedMetricPair.

Trait Implementations

impl Clone for PredictiveScalingPredefinedMetricPair

fn clone(&self) -> PredictiveScalingPredefinedMetricPair

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for PredictiveScalingPredefinedMetricPair

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for PredictiveScalingPredefinedMetricPair

fn eq(&self, other: &PredictiveScalingPredefinedMetricPair) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for PredictiveScalingPredefinedMetricPair