1. Tracking usage #
Knowing before paying.
Tools #
- Plan & Usage: consumption per product, compared with the contract commitment.
- Usage Attribution: breakdown of consumption by tag (
team,service), to charge back or make teams accountable. - Estimated usage metrics (
datadog.estimated_usage.*) on which to set monitors: be alerted to a spike in logs or custom metrics the same day, not on the bill.
# Monitor : volume de logs ingérés anormal pour un service
sum(last_1h):sum:datadog.estimated_usage.logs.ingested_bytes{*} by {service}.as_count() > 500000000002. Reducing #
The levers.
Levers #
Good practice: Tackle the largest item on your bill first, often indexed logs or custom metrics, and measure the effect of each measure on estimated usage.
3. Governing #
Who can do what.
Rules #
| Topic | Practice |
|---|---|
| Access | SAML SSO, roles (Admin, Standard, Read Only) and custom roles; restricting sensitive data with restriction queries |
| Teams | Datadog Teams linked to services, dashboards and monitors |
| Tags | Tag policies (mandatory tags on monitors, team and env everywhere) |
| Configuration | Monitors, dashboards, SLOs and Synthetics tests in Terraform, reviewed in pull requests |
| Organizations | Child organizations per entity if data and billing need to be isolated |
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