[ aws . ce ]

get-cost-and-usage

Description

Retrieves cost and usage metrics for your account. You can specify which cost and usage-related metric, such as BlendedCosts or UsageQuantity , that you want the request to return. You can also filter and group your data by various dimensions, such as SERVICE or AZ , in a specific time range. For a complete list of valid dimensions, see the GetDimensionValues operation. Management account in an organization in AWS Organizations have access to all member accounts.

For information about filter limitations, see Quotas and restrictions in the Billing and Cost Management User Guide .

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  get-cost-and-usage
--time-period <value>
[--granularity <value>]
[--filter <value>]
--metrics <value>
[--group-by <value>]
[--next-page-token <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--time-period (structure)

Sets the start and end dates for retrieving AWS costs. The start date is inclusive, but the end date is exclusive. For example, if start is 2017-01-01 and end is 2017-05-01 , then the cost and usage data is retrieved from 2017-01-01 up to and including 2017-04-30 but not including 2017-05-01 .

Start -> (string)

The beginning of the time period that you want the usage and costs for. The start date is inclusive. For example, if start is 2017-01-01 , AWS retrieves cost and usage data starting at 2017-01-01 up to the end date.

End -> (string)

The end of the time period that you want the usage and costs for. The end date is exclusive. For example, if end is 2017-05-01 , AWS retrieves cost and usage data from the start date up to, but not including, 2017-05-01 .

Shorthand Syntax:

Start=string,End=string

JSON Syntax:

{
  "Start": "string",
  "End": "string"
}

--granularity (string)

Sets the AWS cost granularity to MONTHLY or DAILY , or HOURLY . If Granularity isn’t set, the response object doesn’t include the Granularity , either MONTHLY or DAILY , or HOURLY .

Possible values:

  • DAILY

  • MONTHLY

  • HOURLY

--filter (structure)

Filters AWS costs by different dimensions. For example, you can specify SERVICE and LINKED_ACCOUNT and get the costs that are associated with that account’s usage of that service. You can nest Expression objects to define any combination of dimension filters. For more information, see Expression .

Or -> (list)

Return results that match either Dimension object.

(structure)

Use Expression to filter by cost or by usage. There are two patterns:

  • Simple dimension values - 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 Expression example looks like: { "Dimensions": { "Key": "REGION", "Values": [ "us-east-1", “us-west-1” ] } } The list of dimension values are OR’d together to retrieve cost or usage data. You can create Expression and DimensionValues objects using either with* methods or set* methods in multiple lines.

  • Compound dimension values 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. This allows you to filter on more advanced options. For example, you can filter on ((REGION == us-east-1 OR REGION == us-west-1) OR (TAG.Type == Type1)) AND (USAGE_TYPE != DataTransfer) . The Expression for that looks like this: { "And": [ {"Or": [ {"Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] }}, {"Tags": { "Key": "TagName", "Values": ["Value1"] } } ]}, {"Not": {"Dimensions": { "Key": "USAGE_TYPE", "Values": ["DataTransfer"] }}} ] }

Note

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": [ ... ], "DimensionValues": { "Dimension": "USAGE_TYPE", "Values": [ "DataTransfer" ] } }

Note

For GetRightsizingRecommendation action, a combination of OR and NOT is not supported. OR is not supported between different dimensions, or dimensions and tags. NOT operators aren’t supported. Dimensions are also limited to LINKED_ACCOUNT , REGION , or RIGHTSIZING_TYPE .

Or -> (list)

Return results that match either Dimension object.

( … recursive … )

And -> (list)

Return results that match both Dimension objects.

( … recursive … )

( … recursive … )Dimensions -> (structure)

The specific Dimension to use for Expression .

Key -> (string)

The names of the metadata types that you can use to filter and group your results. For example, AZ returns a list of Availability Zones.

Values -> (list)

The metadata values that you can use to filter and group your results. You can use GetDimensionValues to find specific values.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

Tags -> (structure)

The specific Tag to use for Expression .

Key -> (string)

The key for the tag.

Values -> (list)

The specific value of the tag.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

CostCategories -> (structure)

The filter based on CostCategory values.

Key -> (string)

The unique name of the Cost Category.

Values -> (list)

The specific value of the Cost Category.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for only applicable for actions related to cost category. The default values for MatchOptions is EQUALS and CASE_SENSITIVE .

(string)

And -> (list)

Return results that match both Dimension objects.

(structure)

Use Expression to filter by cost or by usage. There are two patterns:

  • Simple dimension values - 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 Expression example looks like: { "Dimensions": { "Key": "REGION", "Values": [ "us-east-1", “us-west-1” ] } } The list of dimension values are OR’d together to retrieve cost or usage data. You can create Expression and DimensionValues objects using either with* methods or set* methods in multiple lines.

  • Compound dimension values 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. This allows you to filter on more advanced options. For example, you can filter on ((REGION == us-east-1 OR REGION == us-west-1) OR (TAG.Type == Type1)) AND (USAGE_TYPE != DataTransfer) . The Expression for that looks like this: { "And": [ {"Or": [ {"Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] }}, {"Tags": { "Key": "TagName", "Values": ["Value1"] } } ]}, {"Not": {"Dimensions": { "Key": "USAGE_TYPE", "Values": ["DataTransfer"] }}} ] }

Note

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": [ ... ], "DimensionValues": { "Dimension": "USAGE_TYPE", "Values": [ "DataTransfer" ] } }

Note

For GetRightsizingRecommendation action, a combination of OR and NOT is not supported. OR is not supported between different dimensions, or dimensions and tags. NOT operators aren’t supported. Dimensions are also limited to LINKED_ACCOUNT , REGION , or RIGHTSIZING_TYPE .

Or -> (list)

Return results that match either Dimension object.

( … recursive … )

And -> (list)

Return results that match both Dimension objects.

( … recursive … )

( … recursive … )Dimensions -> (structure)

The specific Dimension to use for Expression .

Key -> (string)

The names of the metadata types that you can use to filter and group your results. For example, AZ returns a list of Availability Zones.

Values -> (list)

The metadata values that you can use to filter and group your results. You can use GetDimensionValues to find specific values.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

Tags -> (structure)

The specific Tag to use for Expression .

Key -> (string)

The key for the tag.

Values -> (list)

The specific value of the tag.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

CostCategories -> (structure)

The filter based on CostCategory values.

Key -> (string)

The unique name of the Cost Category.

Values -> (list)

The specific value of the Cost Category.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for only applicable for actions related to cost category. The default values for MatchOptions is EQUALS and CASE_SENSITIVE .

(string)

Not -> (structure)

Return results that don’t match a Dimension object.

Or -> (list)

Return results that match either Dimension object.

( … recursive … )

And -> (list)

Return results that match both Dimension objects.

( … recursive … )

( … recursive … )Dimensions -> (structure)

The specific Dimension to use for Expression .

Key -> (string)

The names of the metadata types that you can use to filter and group your results. For example, AZ returns a list of Availability Zones.

Values -> (list)

The metadata values that you can use to filter and group your results. You can use GetDimensionValues to find specific values.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

Tags -> (structure)

The specific Tag to use for Expression .

Key -> (string)

The key for the tag.

Values -> (list)

The specific value of the tag.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

CostCategories -> (structure)

The filter based on CostCategory values.

Key -> (string)

The unique name of the Cost Category.

Values -> (list)

The specific value of the Cost Category.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for only applicable for actions related to cost category. The default values for MatchOptions is EQUALS and CASE_SENSITIVE .

(string)

Dimensions -> (structure)

The specific Dimension to use for Expression .

Key -> (string)

The names of the metadata types that you can use to filter and group your results. For example, AZ returns a list of Availability Zones.

Values -> (list)

The metadata values that you can use to filter and group your results. You can use GetDimensionValues to find specific values.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

Tags -> (structure)

The specific Tag to use for Expression .

Key -> (string)

The key for the tag.

Values -> (list)

The specific value of the tag.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

CostCategories -> (structure)

The filter based on CostCategory values.

Key -> (string)

The unique name of the Cost Category.

Values -> (list)

The specific value of the Cost Category.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for only applicable for actions related to cost category. The default values for MatchOptions is EQUALS and CASE_SENSITIVE .

(string)

JSON Syntax:

{
  "Or": [
    {
      "Or": [
        { ... recursive ... }
        ...
      ],
      "And": [
        { ... recursive ... }
        ...
      ],
      "Not": { ... recursive ... },
      "Dimensions": {
        "Key": "AZ"|"INSTANCE_TYPE"|"LINKED_ACCOUNT"|"LINKED_ACCOUNT_NAME"|"OPERATION"|"PURCHASE_TYPE"|"REGION"|"SERVICE"|"SERVICE_CODE"|"USAGE_TYPE"|"USAGE_TYPE_GROUP"|"RECORD_TYPE"|"OPERATING_SYSTEM"|"TENANCY"|"SCOPE"|"PLATFORM"|"SUBSCRIPTION_ID"|"LEGAL_ENTITY_NAME"|"DEPLOYMENT_OPTION"|"DATABASE_ENGINE"|"CACHE_ENGINE"|"INSTANCE_TYPE_FAMILY"|"BILLING_ENTITY"|"RESERVATION_ID"|"RESOURCE_ID"|"RIGHTSIZING_TYPE"|"SAVINGS_PLANS_TYPE"|"SAVINGS_PLAN_ARN"|"PAYMENT_OPTION",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      },
      "Tags": {
        "Key": "string",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      },
      "CostCategories": {
        "Key": "string",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      }
    }
    ...
  ],
  "And": [
    {
      "Or": [
        { ... recursive ... }
        ...
      ],
      "And": [
        { ... recursive ... }
        ...
      ],
      "Not": { ... recursive ... },
      "Dimensions": {
        "Key": "AZ"|"INSTANCE_TYPE"|"LINKED_ACCOUNT"|"LINKED_ACCOUNT_NAME"|"OPERATION"|"PURCHASE_TYPE"|"REGION"|"SERVICE"|"SERVICE_CODE"|"USAGE_TYPE"|"USAGE_TYPE_GROUP"|"RECORD_TYPE"|"OPERATING_SYSTEM"|"TENANCY"|"SCOPE"|"PLATFORM"|"SUBSCRIPTION_ID"|"LEGAL_ENTITY_NAME"|"DEPLOYMENT_OPTION"|"DATABASE_ENGINE"|"CACHE_ENGINE"|"INSTANCE_TYPE_FAMILY"|"BILLING_ENTITY"|"RESERVATION_ID"|"RESOURCE_ID"|"RIGHTSIZING_TYPE"|"SAVINGS_PLANS_TYPE"|"SAVINGS_PLAN_ARN"|"PAYMENT_OPTION",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      },
      "Tags": {
        "Key": "string",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      },
      "CostCategories": {
        "Key": "string",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      }
    }
    ...
  ],
  "Not": {
    "Or": [
      { ... recursive ... }
      ...
    ],
    "And": [
      { ... recursive ... }
      ...
    ],
    "Not": { ... recursive ... },
    "Dimensions": {
      "Key": "AZ"|"INSTANCE_TYPE"|"LINKED_ACCOUNT"|"LINKED_ACCOUNT_NAME"|"OPERATION"|"PURCHASE_TYPE"|"REGION"|"SERVICE"|"SERVICE_CODE"|"USAGE_TYPE"|"USAGE_TYPE_GROUP"|"RECORD_TYPE"|"OPERATING_SYSTEM"|"TENANCY"|"SCOPE"|"PLATFORM"|"SUBSCRIPTION_ID"|"LEGAL_ENTITY_NAME"|"DEPLOYMENT_OPTION"|"DATABASE_ENGINE"|"CACHE_ENGINE"|"INSTANCE_TYPE_FAMILY"|"BILLING_ENTITY"|"RESERVATION_ID"|"RESOURCE_ID"|"RIGHTSIZING_TYPE"|"SAVINGS_PLANS_TYPE"|"SAVINGS_PLAN_ARN"|"PAYMENT_OPTION",
      "Values": ["string", ...],
      "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
    },
    "Tags": {
      "Key": "string",
      "Values": ["string", ...],
      "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
    },
    "CostCategories": {
      "Key": "string",
      "Values": ["string", ...],
      "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
    }
  },
  "Dimensions": {
    "Key": "AZ"|"INSTANCE_TYPE"|"LINKED_ACCOUNT"|"LINKED_ACCOUNT_NAME"|"OPERATION"|"PURCHASE_TYPE"|"REGION"|"SERVICE"|"SERVICE_CODE"|"USAGE_TYPE"|"USAGE_TYPE_GROUP"|"RECORD_TYPE"|"OPERATING_SYSTEM"|"TENANCY"|"SCOPE"|"PLATFORM"|"SUBSCRIPTION_ID"|"LEGAL_ENTITY_NAME"|"DEPLOYMENT_OPTION"|"DATABASE_ENGINE"|"CACHE_ENGINE"|"INSTANCE_TYPE_FAMILY"|"BILLING_ENTITY"|"RESERVATION_ID"|"RESOURCE_ID"|"RIGHTSIZING_TYPE"|"SAVINGS_PLANS_TYPE"|"SAVINGS_PLAN_ARN"|"PAYMENT_OPTION",
    "Values": ["string", ...],
    "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
  },
  "Tags": {
    "Key": "string",
    "Values": ["string", ...],
    "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
  },
  "CostCategories": {
    "Key": "string",
    "Values": ["string", ...],
    "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
  }
}

--metrics (list)

Which metrics are returned in the query. For more information about blended and unblended rates, see Why does the “blended” annotation appear on some line items in my bill? .

Valid values are AmortizedCost , BlendedCost , NetAmortizedCost , NetUnblendedCost , NormalizedUsageAmount , UnblendedCost , and UsageQuantity .

Note

If you return the UsageQuantity metric, the service aggregates all usage numbers without taking into account the units. For example, if you aggregate usageQuantity across all of Amazon EC2, the results aren’t meaningful because Amazon EC2 compute hours and data transfer are measured in different units (for example, hours vs. GB). To get more meaningful UsageQuantity metrics, filter by UsageType or UsageTypeGroups .

Metrics is required for GetCostAndUsage requests.

(string)

Syntax:

"string" "string" ...

--group-by (list)

You can group AWS costs using up to two different groups, either dimensions, tag keys, cost categories, or any two group by types.

When you group by tag key, you get all tag values, including empty strings.

Valid values are AZ , INSTANCE_TYPE , LEGAL_ENTITY_NAME , LINKED_ACCOUNT , OPERATION , PLATFORM , PURCHASE_TYPE , SERVICE , TAGS , TENANCY , RECORD_TYPE , and USAGE_TYPE .

(structure)

Represents a group when you specify a group by criteria or in the response to a query with a specific grouping.

Type -> (string)

The string that represents the type of group.

Key -> (string)

The string that represents a key for a specified group.

Shorthand Syntax:

Type=string,Key=string ...

JSON Syntax:

[
  {
    "Type": "DIMENSION"|"TAG"|"COST_CATEGORY",
    "Key": "string"
  }
  ...
]

--next-page-token (string)

The token to retrieve the next set of results. AWS provides the token when the response from a previous call has more results than the maximum page size.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See ‘aws help’ for descriptions of global parameters.

Examples

To retrieve the S3 usage of an account for the month of September 2017

The following get-cost-and-usage example retrieves the S3 usage of an account for the month of September 2017.

aws ce get-cost-and-usage \
    --time-period Start=2017-09-01,End=2017-10-01 \
    --granularity MONTHLY \
    --metrics "BlendedCost" "UnblendedCost" "UsageQuantity" \
    --group-by Type=DIMENSION,Key=SERVICE Type=TAG,Key=Environment \
    --filter file://filters.json

Contents of filters.json:

{
    "Dimensions": {
        "Key": "SERVICE",
        "Values": [
            "Amazon Simple Storage Service"
        ]
    }
}

Output:

{
    "GroupDefinitions": [
        {
            "Type": "DIMENSION",
            "Key": "SERVICE"
        },
        {
            "Type": "TAG",
            "Key": "Environment"
        }
    ],
    "ResultsByTime": [
        {
            "Estimated": false,
            "TimePeriod": {
                "Start": "2017-09-01",
                "End": "2017-10-01"
            },
            "Total": {},
            "Groups": [
                {
                    "Keys": [
                        "Amazon Simple Storage Service",
                        "Environment$"
                    ],
                    "Metrics": {
                        "BlendedCost": {
                            "Amount": "40.3527508453",
                            "Unit": "USD"
                        },
                        "UnblendedCost": {
                            "Amount": "40.3543773134",
                            "Unit": "USD"
                        },
                        "UsageQuantity": {
                            "Amount": "9312771.098461578",
                            "Unit": "N/A"
                        }
                    }
                },
                {
                    "Keys": [
                        "Amazon Simple Storage Service",
                        "Environment$Dev"
                    ],
                    "Metrics": {
                        "BlendedCost": {
                            "Amount": "0.2682364644",
                            "Unit": "USD"
                        },
                        "UnblendedCost": {
                            "Amount": "0.2682364644",
                            "Unit": "USD"
                        },
                        "UsageQuantity": {
                            "Amount": "22403.4395271182",
                            "Unit": "N/A"
                        }
                    }
                }
            ]
        }
    ]
}

Output

NextPageToken -> (string)

The token for the next set of retrievable results. AWS provides the token when the response from a previous call has more results than the maximum page size.

GroupDefinitions -> (list)

The groups that are specified by the Filter or GroupBy parameters in the request.

(structure)

Represents a group when you specify a group by criteria or in the response to a query with a specific grouping.

Type -> (string)

The string that represents the type of group.

Key -> (string)

The string that represents a key for a specified group.

ResultsByTime -> (list)

The time period that is covered by the results in the response.

(structure)

The result that is associated with a time period.

TimePeriod -> (structure)

The time period that the result covers.

Start -> (string)

The beginning of the time period that you want the usage and costs for. The start date is inclusive. For example, if start is 2017-01-01 , AWS retrieves cost and usage data starting at 2017-01-01 up to the end date.

End -> (string)

The end of the time period that you want the usage and costs for. The end date is exclusive. For example, if end is 2017-05-01 , AWS retrieves cost and usage data from the start date up to, but not including, 2017-05-01 .

Total -> (map)

The total amount of cost or usage accrued during the time period.

key -> (string)

value -> (structure)

The aggregated value for a metric.

Amount -> (string)

The actual number that represents the metric.

Unit -> (string)

The unit that the metric is given in.

Groups -> (list)

The groups that this time period includes.

(structure)

One level of grouped data in the results.

Keys -> (list)

The keys that are included in this group.

(string)

Metrics -> (map)

The metrics that are included in this group.

key -> (string)

value -> (structure)

The aggregated value for a metric.

Amount -> (string)

The actual number that represents the metric.

Unit -> (string)

The unit that the metric is given in.

Estimated -> (boolean)

Whether the result is estimated.