An unusual cost pattern. This consists of the detailed metadata and the
current status of the anomaly object.
The time period for an anomaly.
This object continuously inspects your account's cost data for anomalies,
content consists of detailed metadata and the current status of the monitor
Quantifies the anomaly. The higher score means that it is more anomalous.
The association between a monitor, threshold, and list of subscribers used
to deliver notifications about anomalies detected by a monitor that exceeds
a threshold. The content consists of the detailed metadata and the current
status of the
The structure of Cost Categories. This includes detailed metadata and the
set of rules for the
The list of processing statuses for Cost Management products for a specific
A reference to a Cost Category containing only enough information to
identify the Cost Category.
Rules are processed in order. If there are multiple rules that match the
line item, then the first rule to match is used to determine that Cost
The Cost Categories values used for filtering the costs.
The Cost Explorer API enables you to programmatically query your cost and
usage data. You can query for aggregated data such as total monthly costs or
total daily usage. You can also query for granular data, such as the number
of daily write operations for Amazon DynamoDB database tables in your
The amount of instance usage that a reservation covered.
Reservation coverage for a specified period, in hours.
How much it costs to run an instance.
How long a running instance either used a reservation or was On-Demand.
The amount of instance usage, in normalized units. Normalized units enable
you to see your EC2 usage for multiple sizes of instances in a uniform way.
For example, suppose you run an xlarge instance and a 2xlarge instance. If
you run both instances for the same amount of time, the 2xlarge instance
uses twice as much of your reservation as the xlarge instance, even though
both instances show only one instance-hour. Using normalized units instead
of instance-hours, the xlarge instance used 8 normalized units, and the
2xlarge instance used 16 normalized units.
Context about the current instance.
The time period that you want the usage and costs for.
The metadata that you can use to filter and group your results. You can use
GetDimensionValues to find specific values.
The metadata of a specific type that you can use to filter and group your
results. You can use
GetDimensionValues to find specific
The EBS field that contains a list of EBS metrics associated with the
Details about the Amazon EC2 instances that AWS recommends that you
Details on the Amazon EC2 Resource.
Utilization metrics of the instance.
The Amazon EC2 hardware specifications that you want AWS to provide
Details about the Amazon ElastiCache instances that AWS recommends that you
Details about the Amazon ES instances that AWS recommends that you purchase.
Expression to filter by cost or by usage. There are two
The forecast created for your query.
One level of grouped data in the results.
Represents a group when you specify a group by criteria or in the response
to a query with a specific grouping.
The anomaly's dollar value.
Details about the instances that AWS recommends that you purchase.
The aggregated value for a metric.
Details on the modification recommendation.
Details about the Amazon RDS instances that AWS recommends that you
Details about the Amazon Redshift instances that AWS recommends that you
The aggregated numbers for your reservation usage.
A group of reservations that share a set of attributes.
A specific reservation that AWS recommends for purchase.
Details about your recommended reservation purchase.
Information about this specific recommendation, such as the timestamp for
when AWS made a specific recommendation.
A summary about this recommendation, such as the currency code, the amount
that AWS estimates that you could save, and the total amount of reservation
A group of reservations that share a set of attributes.
Details on the resource.
Resource utilization of current resource.
The result that is associated with a time period.
Recommendations to rightsize resources.
Enables you to customize recommendations across two attributes. You can
choose to view recommendations for instances within the same instance
families or across different instance families. You can also choose to view
your estimated savings associated with recommendations with consideration of
existing Savings Plans or RI benefits, or neither.
Metadata for this recommendation set.
Summary of rightsizing recommendations
The combination of AWS service, linked account, Region, and usage type where
a cost anomaly is observed.
The amortized amount of Savings Plans purchased in a specific account during
a specific time interval.
The amount of Savings Plans eligible usage that is covered by Savings Plans.
All calculations consider the On-Demand equivalent of your Savings Plans
Specific coverage percentage, On-Demand costs, and spend covered by Savings
Plans, and total Savings Plans costs for an account.
Attribute details on a specific Savings Plan.
Contains your request parameters, Savings Plan Recommendations Summary, and
Details for your recommended Savings Plans.
Metadata about your Savings Plans Purchase Recommendations.
Summary metrics for your Savings Plans Purchase Recommendations.
The amount of savings you're accumulating, against the public On-Demand rate
of the usage accrued in an account.
The measurement of how well you are using your existing Savings Plans.
The aggregated utilization metrics for your Savings Plans usage.
The amount of Savings Plans utilization, in hours.
A single daily or monthly Savings Plans utilization rate, and details for
your account. A management account in an organization have access to member
accounts. You can use
GetDimensionValues to determine the
possible dimension values.
Hardware specifications for the service that you want recommendations for.
The recipient of
The values that are available for a tag.
Details on recommended instance.
Details on termination recommendation.
Filters cost anomalies based on the total impact.
The amount of utilization, in hours.