Datadog often becomes the third-largest line item after AWS and AI without anyone noticing — until renewal. TurboFinOps ingests usage from the Datadog Usage API, joins it with cloud and AI in unit economics, and helps you trim noisy logs and unused custom metrics.
Datadog billing dashboards live separately from cloud and AI tooling — no unified picture.
Log indexing volume creeps up because every team adds debug logs without a budget.
Custom metric explosion is invisible until the overage invoice lands.
Connect Datadog with API and APP keys; usage syncs daily with retries on transient failures.
See log indexing events, custom metric count and estimated cost as a daily series.
Datadog cost feeds unit economics so you can compute true per-customer gross margin.
Workflow
Add a DatadogConfig with API key, APP key and site (US, EU, etc.).
Scheduler pulls usage records from the Datadog Usage API with retries and alerting.
Datadog usage joins cloud and AI cost in the Unit Economics dashboard.
Findings surface noisy log indexes and unused custom metrics for cleanup.
Capabilities
Each capability helps teams validate impact, preserve control, and prove outcomes.
Datadog Usage API ingestion
Daily log indexing volume
Custom metric count tracking
Estimated cost USD
Retry-safe scheduler
Joins unit economics
FAQ
Read-only access to the Usage API. The platform never writes to your Datadog account.
Configure site=datadoghq.eu (or your Datadog endpoint) on the connection. The integration honors the site parameter end-to-end.
No — it joins Datadog cost with cloud and AI in one place so engineering and finance see one bill. The native Datadog billing UI is still the system of record for invoices.
Connect a read-only scope and surface recoverable spend in 10 minutes.
Connect one AWS, Azure or GCP scope, approve the safest savings actions, and give finance a receipt when the savings verify.
