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Class: Aws::AutoScalingPlans::Types::CustomizedLoadMetricSpecification

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing CustomizedLoadMetricSpecification as input to an Aws::Client method, you can use a vanilla Hash:

{
  metric_name: "MetricName", # required
  namespace: "MetricNamespace", # required
  dimensions: [
    {
      name: "MetricDimensionName", # required
      value: "MetricDimensionValue", # required
    },
  ],
  statistic: "Average", # required, accepts Average, Minimum, Maximum, SampleCount, Sum
  unit: "MetricUnit",
}

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. Statistics are calculations used to aggregate data over specified time periods.

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.

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

Returned by:

See Also:

Instance Attribute Summary collapse

Instance Attribute Details

#dimensions ⇒ Array<Types::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.

Returns:

#metric_name ⇒ String

The name of the metric.

Returns:

  • (String) —

    The name of the metric.

#namespace ⇒ String

The namespace of the metric.

Returns:

  • (String) —

    The namespace of the metric.

#statistic ⇒ String

The statistic of the metric. Currently, the value must always be Sum.

Possible values:

  • Average
  • Minimum
  • Maximum
  • SampleCount
  • Sum

Returns:

  • (String) —

    The statistic of the metric.

#unit ⇒ String

The unit of the metric.

Returns:

  • (String) —

    The unit of the metric.