Struct rusoto_autoscaling_plans::CustomizedLoadMetricSpecification [−][src]
pub struct CustomizedLoadMetricSpecification { pub dimensions: Option<Vec<MetricDimension>>, pub metric_name: String, pub namespace: String, pub statistic: String, pub unit: Option<String>, }
Expand description
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
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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
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and other
values to be equal, and is used
by ==
. Read more
This method tests for !=
.
Auto Trait Implementations
impl Send for CustomizedLoadMetricSpecification
impl Sync for CustomizedLoadMetricSpecification
impl Unpin for CustomizedLoadMetricSpecification
Blanket Implementations
Mutably borrows from an owned value. Read more
Instruments this type with the provided Span
, returning an
Instrumented
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type Output = T
type Output = T
Should always be Self