Module aws_sdk_cloudwatch::model
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Data structures used by operation inputs/outputs.
Modules
Structs
Represents the history of a specific alarm.
An anomaly detection model associated with a particular CloudWatch metric, statistic, or metric math expression. You can use the model to display a band of expected, normal values when the metric is graphed.
The configuration specifies details about how the anomaly detection model is to be trained, including time ranges to exclude from use for training the model and the time zone to use for the metric.
The details about a composite alarm.
Represents a specific dashboard.
An error or warning for the operation.
Encapsulates the statistical data that CloudWatch computes from metric data.
A dimension is a name/value pair that is part of the identity of a metric. You can assign up to 10 dimensions to a metric. Because dimensions are part of the unique identifier for a metric, whenever you add a unique name/value pair to one of your metrics, you are creating a new variation of that metric.
Represents filters for a dimension.
This structure contains the definition for a Contributor Insights rule. For more information about this rule, see Using Constributor Insights to analyze high-cardinality data in the Amazon CloudWatch User Guide.
One of the unique contributors found by a Contributor Insights rule. If the rule contains multiple keys, then a unique contributor is a unique combination of values from all the keys in the rule.
One data point related to one contributor.
One data point from the metric time series returned in a Contributor Insights rule report.
This structure includes the Timezone parameter, which you can use to specify your time zone so that the labels that are associated with returned metrics display the correct time for your time zone.
A message returned by the GetMetricDataAPI, including a code and a description.
Represents a specific metric.
The details about a metric alarm.
This structure is used in both GetMetricData and PutMetricAlarm. The supported use of this structure is different for those two operations.
A GetMetricData call returns an array of MetricDataResult structures. Each of these structures includes the data points for that metric, along with the timestamps of those data points and other identifying information.
Encapsulates the information sent to either create a metric or add new values to be aggregated into an existing metric.
Indicates the CloudWatch math expression that provides the time series the anomaly detector uses as input. The designated math expression must return a single time series.
This structure defines the metric to be returned, along with the statistics, period, and units.
This structure contains the configuration information about one metric stream.
This structure contains the name of one of the metric namespaces that is listed in a filter of a metric stream.
This array is empty if the API operation was successful for all the rules specified in the request. If the operation could not process one of the rules, the following data is returned for each of those rules.
Specifies one range of days or times to exclude from use for training an anomaly detection model.
Designates the CloudWatch metric and statistic that provides the time series the anomaly detector uses as input.
Represents a set of statistics that describes a specific metric.
A key-value pair associated with a CloudWatch resource.