Struct rusoto_autoscaling_plans::CustomizedLoadMetricSpecification

pub struct CustomizedLoadMetricSpecification {
    pub dimensions: Option<Vec<MetricDimension>>,
    pub metric_name: String,
    pub namespace: String,
    pub statistic: String,
    pub unit: Option<String>,
}

Represents a CloudWatch metric of your choosing that can be used for predictive scaling.

For predictive scaling to work with a customized load metric specification, AWS Auto Scaling needs access to the Sum and Average statistics that CloudWatch computes from metric data.

When you choose a load metric, make sure that the required Sum and Average statistics for your metric are available in CloudWatch and that they provide relevant data for predictive scaling. The Sum statistic must represent the total load on the resource, and the Average statistic must represent the average load per capacity unit of the resource. For example, there is a metric that counts the number of requests processed by your Auto Scaling group. If the Sum statistic represents the total request count processed by the group, then the Average statistic for the specified metric must represent the average request count processed by each instance of the group.

If you publish your own metrics, you can aggregate the data points at a given interval and then publish the aggregated data points to CloudWatch. Before AWS Auto Scaling generates the forecast, it sums up all the metric data points that occurred within each hour to match the granularity period that is used in the forecast (60 minutes).

For information about terminology, available metrics, or how to publish new metrics, see Amazon CloudWatch Concepts in the Amazon CloudWatch User Guide.

After creating your scaling plan, you can use the AWS Auto Scaling console to visualize forecasts for the specified metric. For more information, see View Scaling Information for a Resource in the AWS Auto Scaling User Guide.

Fields

dimensions: Option<Vec<MetricDimension>>

The dimensions of the metric.

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your customized load metric specification.

metric_name: String

The name of the metric.

namespace: String

The namespace of the metric.

statistic: String

The statistic of the metric. The only valid value is Sum.

unit: Option<String>

The unit of the metric.

Trait Implementations

impl Clone for CustomizedLoadMetricSpecification

fn clone(&self) -> CustomizedLoadMetricSpecification

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CustomizedLoadMetricSpecification

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

Formats the value using the given formatter.

impl Default for CustomizedLoadMetricSpecification

fn default() -> CustomizedLoadMetricSpecification

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for CustomizedLoadMetricSpecification

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl PartialEq<CustomizedLoadMetricSpecification> for CustomizedLoadMetricSpecification

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

This method tests for self and other values to be equal, and is used by ==.

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

This method tests for !=.

impl Serialize for CustomizedLoadMetricSpecification

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for CustomizedLoadMetricSpecification