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To use AWS Cloud Cost Management, you must have an AWS account with access to Cost and Usage Reports (CURs), and have the AWS integration installed in Datadog. To set up Cloud Cost Management in Datadog, you need to generate a Cost and Usage report.


Prerequisite: generate a Cost and Usage Report

Follow AWS instructions for Creating Cost and Usage Reports, and select the following content options for use with Datadog Cloud Cost Management:

  • Include resource IDs
  • Split cost allocation data (Enables ECS Cost Allocation. You must also opt in to AWS Split Cost Allocation in Cost Explorer preferences).
  • “Refresh automatically”

Select the following Delivery options:

  • Time granularity: Hourly
  • Report versioning: Create new report version
  • Compression type: GZIP or Parquet
  • Format: text/csv or Parquet

Configure the AWS integration

Navigate to Setup & Configuration and select an AWS account from the dropdown menu to pull costs from.

Note: Datadog recommends sending a Cost and Usage Report from an AWS management account for cost visibility into related member accounts. If you send a Cost and Usage report from an AWS member account, ensure that you have selected the following options in your management account’s preferences:

  • Linked Account Access
  • Linked Account Refunds and Credits
  • Linked Account Discounts

This ensures complete cost accuracy by allowing periodic cost calculations against the AWS Cost Explorer.

Locate the Cost and Usage Report

If you have navigated away from the report that you created in the setup prerequisites section, follow AWS documentation to find and view your Cost and Usage Reports details.

To enable Datadog to locate the Cost and Usage Report, complete the fields with their corresponding details:

  • Region: This is the region your bucket is located. For example, us-east-1.
  • Bucket Name: This is the name of the s3 bucket that the CUR is saved to.
  • Report Path Prefix: This is the folder name. If viewing Report path prefix from the AWS details page, this is the first section of the path. For example, if Report path prefix is displayed as cur-report-dir/cost-report, you would enter cur-report-dir.
  • Report Name: This is the name you entered when you generated the report in the prerequisite section. If viewing the Report path prefix from the AWS details page, this is the second half of the path. For example, if Report path prefix is displayed as cur-report-dir/cost-report, you would enter cost-report.

Note: Datadog only supports CURs generated by AWS. Do not modify or move the files generated by AWS, or attempt to provide access to files generated by a 3rd party.

Configure access to the Cost and Usage Report

Configure AWS to ensure Datadog has permissions to access the CUR and the s3 bucket it is stored in by creating a policy using the following JSON:

  "Version": "2012-10-17",
  "Statement": [
          "Sid": "DDCloudCostReadBucket",
          "Effect": "Allow",
          "Action": [
          "Resource": "arn:aws:s3:::BUCKETNAME"
          "Sid": "DDCloudCostGetBill",
          "Effect": "Allow",
          "Action": [
          "Resource": "arn:aws:s3:::BUCKETNAME/REPORT_PREFIX/REPORT_NAME/*"
          "Sid": "DDCloudCostCheckAccuracy",
          "Effect": "Allow",
          "Action": [
          "Resource": "*"
          "Sid": "DDCloudCostListCURs",
          "Action": [
          "Effect": "Allow",
          "Resource": "*"
          "Sid": "DDCloudCostListOrganizations",
          "Action": [
          "Effect": "Allow",
          "Resource": "*"

Tip: Make note of the name you created for this policy for next steps.

Attach the policy to the Datadog integration role

Attach the new S3 policy to the Datadog integration role.

  1. Navigate to Roles in the AWS IAM console.
  2. Locate the role used by the Datadog integration. By default it is named DatadogIntegrationRole, but the name may vary if your organization has renamed it. Click the role name to open the role summary page.
  3. Click Attach policies.
  4. Enter the name of the S3 bucket policy created above.
  5. Click Attach policy.

Note: Data can take up to 48 to 72 hours after setup to stabilize in Datadog.

Cost types

You can visualize your ingested data using the following cost types:

Cost TypeDescription
aws.cost.amortizedCost based on applied discount rates plus the distribution of pre-payments across usage for the discount term (accrual basis).
aws.cost.unblendedCost shown as the amount charged at the time of usage (cash basis).
aws.cost.blendedCost based on the average rate paid for a usage type across an organization’s member accounts.
aws.cost.ondemandCost based on the list rate provided by AWS.

Tag enrichment

Datadog adds out-of-the-box tags to the ingested cost data to help you further break down and allocate your costs. These tags are derived from your Cost and Usage Report (CUR).

The following out-of-the-box tags are available for filtering and grouping data:

aws_productThe AWS service being billed.
aws_product_familyThe category for the AWS service being billed (for example, Compute or Storage).
aws_management_account_nameThe AWS management account name associated with the item.
aws_management_account_idThe AWS management account ID associated with the item.
aws_member_account_nameThe AWS member account name associated with the item.
aws_member_account_idThe AWS member account ID associated with the item.
aws_cost_typeThe type of charge covered by this item (for example, Usage, or Tax).
aws_pricing_termWhether the usage is Reserved, Spot, or On-Demand.
aws_reservation_arnThe ARN of the Reserved Instance that the item benefited from.
aws_savings_plan_arnThe ARN of the Savings Plan the item benefited from.
aws_usage_typeThe usage details of the item (for example, BoxUsage:i3.8xlarge).
aws_operationThe operation associated with the item (for example, RunInstances).
aws_regionThe region associated with the item.
aws_availability_zoneThe availability zone associated with the item.
aws_resource_idThe resource ID associated with the item.
aws_instance_typeThe instance types associated with your items.
aws_instance_familyThe instance family associated with your item (for example, Storage optimized).
is_aws_ec2_computeWhether the usage is related to EC2 compute.
is_aws_ec2_compute_on_demandWhether the usage is on-demand.
is_aws_ec2_compute_reservationWhether the usage is associated with a Reserved Instance.
is_aws_ec2_capacity_reservationWhether the usage is associated with a Capacity Reservation.
is_aws_ec2_spot_instanceWhether the usage is associated with a Spot Instance.
is_aws_ec2_savings_planWhether the usage is associated with a Savings Plan.

Cost and observability correlation

Viewing costs in context of observability data is important to understand how infrastructure changes impact costs, identify why costs change, and optimize infrastructure for both costs and performance. Datadog updates resource identifying tags on cost data for top AWS products to simplify correlating observability and cost metrics.

For example, to view cost and utilization for each RDS database, you can make a table with aws.cost.amortized, aws.rds.cpuutilization, and aws.rds.freeable_memory (or any other RDS metric) and group by dbinstanceidentifier. Or, to see Lambda usage and costs side by side, you can graph aws.lambda.concurrent_executions and aws.cost.amortized grouped by functionname.

The following out-of-the-box tags are available:

AWS ProductTag
cloudfront (distribution)distributionid
cloudfront (function)functionname
ec2 natgatewaynatgatewayid
elb (application, gateway, network)loadbalancer
elb (all other costs)loadbalancername

For tags on containerized environments, see Container Cost Allocation.

Billing conductor

Billing conductor enables you to simplify your bill by customizing the billing rates, distributing credits and fees, and sharing overhead costs at your discretion. You can also select which accounts to include in the CUR.

To create a billing conductor CUR, follow the AWS Cost and Usage Reports user guide. Ensure the CUR meets Datadog’s requirements. After the billing conductor CUR is created, follow the Cloud Cost Management instructions above to set it up in Datadog.

Further reading