NAME

Paws::AutoScalingPlans::CustomizedLoadMetricSpecification

USAGE

This class represents one of two things:

Arguments in a call to a service

Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object.

As an example, if Att1 is expected to be a Paws::AutoScalingPlans::CustomizedLoadMetricSpecification object:

  $service_obj->Method(Att1 => { Dimensions => $value, ..., Unit => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::AutoScalingPlans::CustomizedLoadMetricSpecification object:

  $result = $service_obj->Method(...);
  $result->Att1->Dimensions

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 (https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_concepts.html) 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 (https://docs.aws.amazon.com/autoscaling/plans/userguide/gs-create-scaling-plan.html#gs-view-resource) in the AWS Auto Scaling User Guide.

ATTRIBUTES

Dimensions => ArrayRef[Paws::AutoScalingPlans::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.

REQUIRED MetricName => Str

The name of the metric.

REQUIRED Namespace => Str

The namespace of the metric.

REQUIRED Statistic => Str

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

Unit => Str

The unit of the metric.

BUGS and CONTRIBUTIONS

The source code is located here: <https://github.com/pplu/aws-sdk-perl>

Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>