Cloud Cost Management | Datadog

Why Datadog?

Understand Your Cost of Service Ownership

Get clarity on your total cost of service ownership by ingesting costs across cloud, SaaS providers, and custom sources in FinOps FOCUS format.

Optimize Spend and Reduce Waste

Use automated recommendations to optimize spend across resources, including containerized and AI workloads.

Monitor Costs Where Your Teams Work

Engineers see costs scoped to teams, products, services, and applications in their daily workflows—dashboards, the Software Catalog, profiling, and more.

Unify Cost With Observability Data

See cost alongside observability data—including AI and GPU workloads—to understand how cost changes affect performance, making cost a key KPI for engineering teams.

Product Benefits

See Cost Metrics in the Daily Workflows Engineers Already Use

Surface AWS, Azure, Google Cloud, OCI, and SaaS costs in dashboards, the Software Catalog, the Resource Catalog, and Container Monitoring
Add business context to optimization efforts in Notebooks and drive cross-functional collaboration with FinOps and Finance
Customize and schedule reporting on any metric to keep teams aligned

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Accelerate Optimization with Automated Cost Recommendations

Optimize AWS, Azure, and Google Cloud resources with automated cost recommendations
Create custom recommendations tailored to your specific optimization initiatives
Use Datadog Kubernetes Autoscaling and Workflow Automation to act on cost recommendations automatically

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Attribute Every Dollar Across Cloud and SaaS Spend

Allocate cloud, container, and SaaS spend to teams, products, or services—even for complex or shared infrastructure
Break out granular container cost allocation, including GPU, data transfer, and network costs
Use Tag Pipelines and Custom Allocation Rules to ensure accurate attribution of all costs
Ingest any cost data source in the FinOps FOCUS format for standardized reporting

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Unify Engineering, Finance, and FinOps Teams in One Platform

Alert teams to cost anomalies with monitors, detection, and root cause analysis
Create budgets for cloud and SaaS providers and assign them to the appropriate teams or services
Turn any cost query into a CSV for quick collaboration with Finance
Manage commitment coverage and utilization to maximize savings and reduce waste
Ensure compliance with organization-wide FinOps policies and practices

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Govern AI and GPU Spend as it Scales

Track LLM and GPU cost next to the observability data for the workloads that drive it
Build unit cost per model and per service to see what each AI feature actually costs
Set anomaly alerts on AI and GPU spend so experiments stay safe and surprises stay rare
Connect cost to LLM Observability to tie spend back to token usage and model performance

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Control Cloud and AI Spend in Real Time

Real-time cost observability for engineering and FinOps, across cloud, Kubernetes, and AI workloads.