Cloud Cost Management

Datadog Cloud Cost Management seamlessly unifies cost and observability data from across your cloud infrastructure—easily scoped to teams and services—enabling engineers and FinOps practitioners to understand their total cost of ownership, proactively optimize their resources through automated recommendations, and identify and understand cost changes.

Understand your total cost of service ownership in a single platform

Instantly understand the total cost of services running on AWS, Azure, or Google Cloud, as well as SaaS providers like Snowflake, Databricks, MongoDB, and more
Upload any cost data source in FinOps FOCUS format to Datadog so all costs are accounted for
Attribute costs to specific products, services, and teams to identify the biggest cost changes, drill down to resource-level spend, and make decisions with high confidence
Use Tag Pipelines for seamless cost allocation across cloud resources to ensure all costs are properly accounted for

Get clarity into your cloud bill with cost allocation

Unlock container and Kubernetes cost allocation

Available with: Container Monitoring in AWS, GCP, and Azure

Eliminate container cost uncertainty by seamlessly breaking out costs by cluster, namespace, or pod and across workload usage, workload idle, and cluster idle
Understand the true, total cost of applications and services running in shared infrastructure
Use automated recommendations to identify clusters and workloads with idle spend and reduce waste

Unlock container and Kubernetes cost allocation

Empower engineers to own costs and optimize spend

Enable teams to take ownership of the costs of their services and applications by surfacing costs in dashboards, Powerpacks, notebooks, and the Service Catalog
Cut through the noise with customizable cost, performance, and unit economic monitors to rapidly respond to unexpected cost changes
Eliminate silos between FinOps and engineering teams by reviewing recommendations and collaborating on cost initiatives with shared dashboards and notebooks
Combine cost data with performance metrics to build service-specific unit economics and easily reduce unnecessary compute, storage, or data-transfer costs

Get alerted on Cost changes and quickly react to new information

Reduce cloud spend with automated recommendations

Available with: Infrastructure Monitoring, APM

Optimize resources using recommendations that Datadog automatically generates b by combining observability data with underlying provider billing data
Review recommendations in dashboards, the Service Catalog, Powerpacks, and more, ensuring that costs are always in front of your teams
Easily identify and terminate orphaned resources, migrate legacy resources, and rightsize underutilized or overprovisioned resources

Unify cost and performance data to easily identify waste

In an hour, we cut our total AWS costs by 40 percent. When you have a tool that’s very fast, integrates with your cloud provider, and lets you understand where you spend your money, it’s very easy to dig deep into utilization of your compute resources.

Alexander Tilkin Cofounder and CTO, Complyt

Best practices are important, but there’s no substitution for real measurement and cost optimization. Datadog Cloud Cost Management helped us attribute spend at a granular level over dozens of accounts to achieve significant savings.

Martin Amps Stitch Fix

It’s not about tradeoffs between cost and performance: cost is a need, just as important as scalability and security. Cloud Cost Management has empowered each engineer in our organization to understand this and act on cost data in the same way they would on performance, to maintain efficiency as we scale.

Tim Ewald CTO, Kevel

With Datadog’s high-fidelity cost data, the savings opportunities we estimated were extremely accurate, which gave us confidence after the first couple of exercises that we could share this across other teams and ultimately provide an even better customer experience.