Overview

Cloud Cost Management provides insights for engineering and finance teams to see how changes to infrastructure can affect costs. It enables you to understand trends, allocate spend across your organization, and identify inefficiencies. Datadog ingests your cloud cost data and transforms it into queryable metrics. If costs rise, you can correlate the change with usage metrics to determine the root cause.

Setup

Use cloud cost data in dashboards

Visualize infrastructure spend alongside related utilization metrics to spot potential inefficiencies and savings opportunities:

• Add cloud costs to widgets in Datadog dashboards by selecting the Cloud Cost data source.

• Export a timeseries graph of costs data using the Metrics API.

Allocate costs

Use Container Cost Allocation metrics to discover costs associated with clusters and workloads across Kubernetes, AWS ECS, Azure, and Google Cloud. Gain visibility into pod-level costs, identify idle resource costs, and analyze costs by resource type.

Further reading

Additional helpful documentation, links, and articles:

Gain visibility and control of your cloud spend with Datadog Cloud Cost ManagementBLOG Configure a Cloud Cost monitorDOCUMENTATION Understand your Kubernetes and ECS spend with Datadog Cloud Cost ManagementBLOG Standardize tags across Cloud Cost with Tag PipelinesDOCUMENTATION Empower engineers to take ownership of Google Cloud costs with DatadogBLOG