| Column Name | Column Data Type |
|---|
date_interval Required Input Column
Assigns the start and end dates for retrieving cost anomalies. The returned anomaly object will have an AnomalyEndDate in the specified time range. | STRUCT(
"start_date" VARCHAR,
"end_date" VARCHAR
) |
Show child fields- date_interval.end_date
The last date an anomaly was observed. - date_interval.start_date
The first date an anomaly was observed.
|
feedback Input Column
Filters anomaly results by the feedback field on the anomaly object. | VARCHAR |
max_results Input Column
The number of entries a paginated response contains. | BIGINT |
monitor_arn Input Column
Retrieves all of the cost anomalies detected for a specific cost anomaly monitor Amazon Resource Name (ARN). | VARCHAR |
next_page_token Input Column
The token to retrieve the next set of results. Amazon Web Services provides the token when the response from a previous call has more results than the maximum page size. | VARCHAR |
total_impact Input Column
Filters anomaly results by the total impact field on the anomaly object. For example, you can filter anomalies GREATER_THAN 200.00 to retrieve anomalies, with an estimated dollar impact greater than 200. | STRUCT(
"numeric_operator" VARCHAR,
"start_value" DOUBLE,
"end_value" DOUBLE
) |
Show child fields- total_impact.end_value
The upper bound dollar value that's used in the filter. - total_impact.numeric_operator
The comparing value that's used in the filter. - total_impact.start_value
The lower bound dollar value that's used in the filter.
|
_aws_profile Input Column
The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT(
"type" VARCHAR,
"name" VARCHAR,
"account_id" VARCHAR,
"via_profile_name" VARCHAR,
"assumed_role_arn" VARCHAR,
"organization" STRUCT(
"account_name" VARCHAR,
"id" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[],
"master_account" STRUCT(
"id" VARCHAR,
"email" VARCHAR
),
"parents" STRUCT(
"type" VARCHAR,
"id" VARCHAR,
"name" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[]
)[]
)
) |
Show child fields- _aws_profile.account_id
The AWS account id - _aws_profile.assumed_role_arn
The ARN of the assumed role - _aws_profile.name
The unique name of the profile. - _aws_profile.organization
Information about this profile's membership in the AWS organization. Show child fields- _aws_profile.organization.account_name
The name of account speciifed by the organization - _aws_profile.organization.id
The organization id - _aws_profile.organization.master_account
Show child fields- _aws_profile.organization.master_account.email
The organization master account email address - _aws_profile.organization.master_account.id
The organization master account id
- _aws_profile.organization.parents[]
Show child fields- _aws_profile.organization.parents[].id
The id of the parent - _aws_profile.organization.parents[].name
The name of the parent - _aws_profile.organization.parents[].tags[]
Show child fields- _aws_profile.organization.parents[].tags[].key
- _aws_profile.organization.parents[].tags[].value
- _aws_profile.organization.parents[].type
The type of parent can be an organization unit or a root
- _aws_profile.organization.tags[]
Show child fields- _aws_profile.organization.tags[].key
- _aws_profile.organization.tags[].value
- _aws_profile.type
The type of profile, either 'credentials' or 'assumed_role' - _aws_profile.via_profile_name
This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.
|
anomalies
A list of cost anomalies. | STRUCT(
"anomaly_id" VARCHAR,
"anomaly_start_date" VARCHAR,
"anomaly_end_date" VARCHAR,
"dimension_value" VARCHAR,
"root_causes" STRUCT(
"service" VARCHAR,
"region" VARCHAR,
"linked_account" VARCHAR,
"usage_type" VARCHAR,
"linked_account_name" VARCHAR
)[],
"anomaly_score" STRUCT(
"max_score" DOUBLE,
"current_score" DOUBLE
),
"impact" STRUCT(
"max_impact" DOUBLE,
"total_impact" DOUBLE,
"total_actual_spend" DOUBLE,
"total_expected_spend" DOUBLE,
"total_impact_percentage" DOUBLE
),
"monitor_arn" VARCHAR,
"feedback" VARCHAR
)[] |
Show child fields- anomalies[]
Show child fields- anomalies[].anomaly_end_date
The last day the anomaly is detected. - anomalies[].anomaly_id
The unique identifier for the anomaly. - anomalies[].anomaly_score
The latest and maximum score for the anomaly. Show child fields- anomalies[].anomaly_score.current_score
The last observed score. - anomalies[].anomaly_score.max_score
The maximum score that's observed during the AnomalyDateInterval.
- anomalies[].anomaly_start_date
The first day the anomaly is detected. - anomalies[].dimension_value
The dimension for the anomaly (for example, an Amazon Web Service in a service monitor). - anomalies[].feedback
The feedback value. - anomalies[].impact
The dollar impact for the anomaly. Show child fields- anomalies[].impact.max_impact
The maximum dollar value that's observed for an anomaly. - anomalies[].impact.total_actual_spend
The cumulative dollar amount that was actually spent during the anomaly. - anomalies[].impact.total_expected_spend
The cumulative dollar amount that was expected to be spent during the anomaly. It is calculated using advanced machine learning models to determine the typical spending pattern based on historical data for a customer. - anomalies[].impact.total_impact
The cumulative dollar difference between the total actual spend and total expected spend. It is calculated as TotalActualSpend - TotalExpectedSpend. - anomalies[].impact.total_impact_percentage
The cumulative percentage difference between the total actual spend and total expected spend. It is calculated as (TotalImpact/TotalExpectedSpend) * 100. When TotalExpectedSpend is zero, this field is omitted. Expected spend can be zero in situations such as when you start to use a service for the first time.
- anomalies[].monitor_arn
The Amazon Resource Name (ARN) for the cost monitor that generated this anomaly. - anomalies[].root_causes[]
Show child fields- anomalies[].root_causes[].linked_account
The member account value that's associated with the cost anomaly. - anomalies[].root_causes[].linked_account_name
The member account name value that's associated with the cost anomaly. - anomalies[].root_causes[].region
The Amazon Web Services Region that's associated with the cost anomaly. - anomalies[].root_causes[].service
The Amazon Web Service name that's associated with the cost anomaly. - anomalies[].root_causes[].usage_type
The UsageType value that's associated with the cost anomaly.
|