Class: Aws::CostExplorer::Types::AnomalyMonitor

Inherits:
Struct
  • Object
show all
Includes:
Structure
Defined in:
lib/aws-sdk-costexplorer/types.rb

Overview

This object continuously inspects your account’s cost data for anomalies. It’s based on ‘MonitorType` and `MonitorSpecification`. The content consists of detailed metadata and the current status of the monitor object.

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#creation_date ⇒ String

The date when the monitor was created.

Returns:

  • (String) 


225
226
227
228
229
230
231
232
233
234
235
236
237
 
# File 'lib/aws-sdk-costexplorer/types.rb', line 225

class AnomalyMonitor < Struct.new(
  :monitor_arn,
  :monitor_name,
  :creation_date,
  :last_updated_date,
  :last_evaluated_date,
  :monitor_type,
  :monitor_dimension,
  :monitor_specification,
  :dimensional_value_count)
  SENSITIVE = []
  include Aws::Structure
end

#dimensional_value_count ⇒ Integer

The value for evaluated dimensions.

Returns:

  • (Integer) 


225
226
227
228
229
230
231
232
233
234
235
236
237
 
# File 'lib/aws-sdk-costexplorer/types.rb', line 225

class AnomalyMonitor < Struct.new(
  :monitor_arn,
  :monitor_name,
  :creation_date,
  :last_updated_date,
  :last_evaluated_date,
  :monitor_type,
  :monitor_dimension,
  :monitor_specification,
  :dimensional_value_count)
  SENSITIVE = []
  include Aws::Structure
end

#last_evaluated_date ⇒ String

The date when the monitor last evaluated for anomalies.

Returns:

  • (String) 


225
226
227
228
229
230
231
232
233
234
235
236
237
 
# File 'lib/aws-sdk-costexplorer/types.rb', line 225

class AnomalyMonitor < Struct.new(
  :monitor_arn,
  :monitor_name,
  :creation_date,
  :last_updated_date,
  :last_evaluated_date,
  :monitor_type,
  :monitor_dimension,
  :monitor_specification,
  :dimensional_value_count)
  SENSITIVE = []
  include Aws::Structure
end

#last_updated_date ⇒ String

The date when the monitor was last updated.

Returns:

  • (String) 


225
226
227
228
229
230
231
232
233
234
235
236
237
 
# File 'lib/aws-sdk-costexplorer/types.rb', line 225

class AnomalyMonitor < Struct.new(
  :monitor_arn,
  :monitor_name,
  :creation_date,
  :last_updated_date,
  :last_evaluated_date,
  :monitor_type,
  :monitor_dimension,
  :monitor_specification,
  :dimensional_value_count)
  SENSITIVE = []
  include Aws::Structure
end

#monitor_arn ⇒ String

The Amazon Resource Name (ARN) value.

Returns:

  • (String) 


225
226
227
228
229
230
231
232
233
234
235
236
237
 
# File 'lib/aws-sdk-costexplorer/types.rb', line 225

class AnomalyMonitor < Struct.new(
  :monitor_arn,
  :monitor_name,
  :creation_date,
  :last_updated_date,
  :last_evaluated_date,
  :monitor_type,
  :monitor_dimension,
  :monitor_specification,
  :dimensional_value_count)
  SENSITIVE = []
  include Aws::Structure
end

#monitor_dimension ⇒ String

The dimensions to evaluate.

Returns:

  • (String) 


225
226
227
228
229
230
231
232
233
234
235
236
237
 
# File 'lib/aws-sdk-costexplorer/types.rb', line 225

class AnomalyMonitor < Struct.new(
  :monitor_arn,
  :monitor_name,
  :creation_date,
  :last_updated_date,
  :last_evaluated_date,
  :monitor_type,
  :monitor_dimension,
  :monitor_specification,
  :dimensional_value_count)
  SENSITIVE = []
  include Aws::Structure
end

#monitor_name ⇒ String

The name of the monitor.

Returns:

  • (String) 


225
226
227
228
229
230
231
232
233
234
235
236
237
 
# File 'lib/aws-sdk-costexplorer/types.rb', line 225

class AnomalyMonitor < Struct.new(
  :monitor_arn,
  :monitor_name,
  :creation_date,
  :last_updated_date,
  :last_evaluated_date,
  :monitor_type,
  :monitor_dimension,
  :monitor_specification,
  :dimensional_value_count)
  SENSITIVE = []
  include Aws::Structure
end

#monitor_specification ⇒ Types::Expression

Use ‘Expression` to filter in various Cost Explorer APIs.

Not all ‘Expression` types are supported in each API. Refer to the documentation for each specific API to see what is supported.

There are two patterns:

  • Simple dimension values.

    • There are three types of simple dimension values: ‘CostCategories`, `Tags`, and `Dimensions`.

      • Specify the ‘CostCategories` field to define a filter that acts on Cost Categories.

      • Specify the ‘Tags` field to define a filter that acts on Cost Allocation Tags.

      • Specify the ‘Dimensions` field to define a filter that acts on the [ `DimensionValues` ][1].

    • For each filter type, you can set the dimension name and values for the filters that you plan to use.

      • For example, you can filter for ‘REGION==us-east-1 OR REGION==us-west-1`. For `GetRightsizingRecommendation`, the Region is a full name (for example, `REGION==US East (N. Virginia)`.

      • The corresponding ‘Expression` for this example is as follows: `{ “Dimensions”: { “Key”: “REGION”, “Values”: [ “us-east-1”, “us-west-1” ] } }`

      • As shown in the previous example, lists of dimension values are combined with ‘OR` when applying the filter.

    • You can also set different match options to further control how the filter behaves. Not all APIs support match options. Refer to the documentation for each specific API to see what is supported.

      • For example, you can filter for linked account names that start with “a”.

      • The corresponding ‘Expression` for this example is as follows: `{ “Dimensions”: { “Key”: “LINKED_ACCOUNT_NAME”, “MatchOptions”: [ “STARTS_WITH” ], “Values”: [ “a” ] } }`

  • Compound ‘Expression` types with logical operations.

    • You can use multiple ‘Expression` types and the logical operators `AND/OR/NOT` to create a list of one or more `Expression` objects. By doing this, you can filter by more advanced options.

    • For example, you can filter by ‘((REGION == us-east-1 OR REGION

      us-west-1) OR (TAG.Type == Type1)) AND (USAGE_TYPE !=

      DataTransfer)‘.

    • The corresponding ‘Expression` for this example is as follows: `{ “And”: [ [ {“Dimensions”: { “Key”: “REGION”, “Values”: [ “us-east-1”, “us-west-1” ] }, {“Tags”: { “Key”: “TagName”, “Values”: [“Value1”] } } ]}, {“Dimensions”: { “Key”: “USAGE_TYPE”, “Values”:

      “DataTransfer”

      }} ] } ‘

    <note markdown=“1”> Because each ‘Expression` can have only one operator, the service returns an error if more than one is specified. The following example shows an `Expression` object that creates an error: ` { “And”: [ … ], “Dimensions”: { “Key”: “USAGE_TYPE”, “Values”: [ “DataTransfer” ] } } `

    The following is an example of the corresponding error message:

    ‘“Expression has more than one roots. Only one root operator is allowed for each expression: And, Or, Not, Dimensions, Tags, CostCategories”`

    </note>

<note markdown=“1”> For the ‘GetRightsizingRecommendation` action, a combination of OR and NOT isn’t supported. OR isn’t supported between different dimensions, or dimensions and tags. NOT operators aren’t supported. Dimensions are also limited to ‘LINKED_ACCOUNT`, `REGION`, or `RIGHTSIZING_TYPE`.

For the `GetReservationPurchaseRecommendation` action, only NOT is

supported. AND and OR aren’t supported. Dimensions are limited to ‘LINKED_ACCOUNT`.

</note>

[1]: docs.aws.amazon.com/aws-cost-management/latest/APIReference/API_DimensionValues.html

Returns:



225
226
227
228
229
230
231
232
233
234
235
236
237
 
# File 'lib/aws-sdk-costexplorer/types.rb', line 225

class AnomalyMonitor < Struct.new(
  :monitor_arn,
  :monitor_name,
  :creation_date,
  :last_updated_date,
  :last_evaluated_date,
  :monitor_type,
  :monitor_dimension,
  :monitor_specification,
  :dimensional_value_count)
  SENSITIVE = []
  include Aws::Structure
end

#monitor_type ⇒ String

The possible type values.

Returns:

  • (String) 


225
226
227
228
229
230
231
232
233
234
235
236
237
 
# File 'lib/aws-sdk-costexplorer/types.rb', line 225

class AnomalyMonitor < Struct.new(
  :monitor_arn,
  :monitor_name,
  :creation_date,
  :last_updated_date,
  :last_evaluated_date,
  :monitor_type,
  :monitor_dimension,
  :monitor_specification,
  :dimensional_value_count)
  SENSITIVE = []
  include Aws::Structure
end