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Explore your cloud provider costs and correlate them with real-time telemetry data. Gain actionable insights and alerts on where your cloud costs are coming from, how they are changing, and where to find potential optimizations.
Overview
Cloud Cost Management provides insights for engineering and finance teams to understand how infrastructure changes impact costs, allocate spend across your organization, and identify inefficiencies.
Datadog ingests your cloud cost data and transforms it into metrics you can use in a search query on the Explorer page. If costs rise, you can correlate the increase with usage metrics to determine the root cause.
Setup
To start managing your cloud costs with Cloud Cost Management, see the following documentation.
Use cloud cost data
Visualize infrastructure spend alongside related utilization metrics with a retention period of 15 months to spot potential inefficiencies and savings opportunities.
When creating a dashboard, select Cloud Cost as the data source for your search query.
Optionally, you can programmatically export a timeseries graph of your cloud cost data by using the Metrics API.
Use daily Datadog cost data
Visualize daily Datadog spending alongside related utilization metrics with a retention period of 15 months to spot potential inefficiencies and savings opportunities. Learn more about Datadog Costs.
When creating a dashboard, select Cloud Cost as the data source, then choose Datadog from the available cost types.
Optionally, you can programmatically export a timeseries graph of your Datadog cost data by using the Metrics API.
Tagging and cost allocation
Learn how tags are sourced, enriched, and managed in Cloud Cost Management by reading the Tags documentation.
You can create tag rules to correct missing or incorrect tags, and add inferred tags that align with your organization’s business logic.
Create a cost monitor
Proactively manage and optimize your cloud spending by creating a Cloud Cost Monitor. Choose from Cost Changes, Cost Anomalies, Cost Threshold, Cost Forecast, or Budget monitor types. See Cloud Cost Monitors for details on each type.
Allocate costs
Use Container Cost Allocation metrics to discover costs associated with clusters and workloads across Kubernetes, Amazon ECS, Azure, and Google Cloud. You can gain visibility into pod-level costs, identify idle resource costs, and analyze costs by resource type.
Permissions
Cloud Cost Management uses the following permissions to control access to cost data and most CCM configurations:
cloud_cost_management_readcloud_cost_management_write
For a detailed breakdown of requirements by page, see Permissions.
Review data history
Monitor the freshness and processing status of your cloud cost data on the Cloud Cost > Settings > Data History page.
- Last Bill Received: When Datadog last received billing data from your cloud or SaaS provider. This timestamp does not indicate the latest usage or cost date in that data.
- Last Processed: When Datadog last processed billing data from your cloud provider, including:
- Tag pipeline rules (retroactively processes up to 3 months of historical data by default)
- Cost allocation rules (retroactively processes up to 1 month of historical data by default)
Use this page to troubleshoot data delays or confirm that recent tag pipelines and cost allocation changes have taken effect.
Cloud cost data can only be as recent as the data supplied by your provider. If costs are missing for an expected date, compare your provider’s bill or export with CCM. Contact your provider if the source does not contain costs for the expected date. Contact Datadog Support if the source contains those costs but CCM does not.
Use AI for cost analysis
Use the Cloud Cost Skill in Bits Chat to investigate cost changes, identify likely owners, compare spend against budgets, correlate cost with observability metrics, and create handoff notebooks for engineering teams.
Further reading
Additional helpful documentation, links, and articles:
