![]() |
VOOZH | about |
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.
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.
To start managing your cloud costs with Cloud Cost Management, see the following documentation.
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.
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.
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.
Proactively manage and optimize your cloud spending by creating a Cloud Cost Monitor. You can choose Cost Changes or Cost Threshold to monitor your cloud expenses.
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.
Cloud Cost Management uses the following permissions to control access to cost data and most CCM configurations:
cloud_cost_management_readcloud_cost_management_writeFor a detailed breakdown of requirements by page, see Permissions.
Monitor the freshness and processing status of your cloud cost data on the Cloud Cost > Settings > Data History page.
Use this page to troubleshoot data delays or confirm that recent tag pipelines and cost allocation changes have taken effect.
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.
Additional helpful documentation, links, and articles:
| |