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Jul 10, 2025
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Adaptive sampling GA Docs #30330

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remove preview mentions adaptive sampling
dussault-antoine Jul 8, 2025
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Merge branch 'master' into antoine.dussault/adaptive_sampling_ga
brett0000FF Jul 9, 2025
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6 changes: 2 additions & 4 deletions content/en/tracing/trace_pipeline/adaptive_sampling.md
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Expand Up @@ -12,10 +12,6 @@ further_reading:
text: "Ingestion Controls"
---

{{< callout url="https://www.datadoghq.com/private-beta/resource-based-sampling-adaptive-sampling/" header="Request access to the Preview!" >}}
Adaptive sampling is in Preview. To request access, complete the form.
{{< /callout >}}

## Overview

Datadog **adaptive sampling** helps you capture more relevant traces while remaining close to a specific budget (ingested gigabytes).
Expand Down Expand Up @@ -116,6 +112,8 @@ The table includes:
- `CONFIGURED REMOTE`: Remote sampling rule set from the Datadog UI.
- `ADAPTIVE REMOTE`: Adaptive sampling rules set by Datadog.

Once a service is onboarded to adaptive sampling, the sampling rates are adjusted and recomputed every 10 minutes.

### Onboard a service to adaptive sampling

To onboard a service to adaptive sampling:
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20 changes: 9 additions & 11 deletions content/en/tracing/trace_pipeline/ingestion_controls.md
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Expand Up @@ -124,16 +124,13 @@ See the **Datadog Agent and tracing library versions** your service is using. Co

{{< img src="tracing/trace_indexing_and_ingestion/agent_tracer_version.png" style="width:90%;" alt="Agent and tracing library versions" >}}

**Note**: You need to upgrade the Agent to v6.34 or v7.34 for the version information to be reported.

### Configure the service ingestion rates by resource

When configuring sampling rates for a service by resource name, you can use two main strategies:
### Managing services' sampling rates

To control sampling rates for a service, you might want to use:
- **Adaptive sampling**: Automatically adjust sampling rates to match a configured monthly ingested volume budget.
- **Custom sampling**: Manually set explicit sampling rates by resource.
- **Resource-based sampling**: Manually set explicit sampling rates by resource.

Configurations for these strategies can be applied **Remotely** through the Datadog UI. This method allows changes to take effect immediately without redeploying your service. For **Custom Sampling**, you also have the option to apply configurations **Locally** by updating your service's configuration files and redeploying.
Configurations for these strategies can be applied **Remotely** through the Datadog UI. This method allows changes to take effect immediately without redeploying your service. For **Resource-based Sampling**, you also have the option to apply configurations **locally** by updating your service's configuration files and redeploying.

Using **Remote Configuration** for service ingestion rates has specific requirements.

Expand All @@ -158,9 +155,9 @@ Find below the minimum tracing library version required for the feature:

{{% /collapse-content %}}

#### Adaptive sampling (Recommended)
#### Adaptive sampling

Specify a target monthly ingestion volume for one or multiple services while keeping visibility over all services and endpoints.
Use Adaptive sampling to let Datadog manage services' sampling rates on your behalf. Specify a target monthly ingestion volume for one or multiple services while keeping visibility over all services and endpoints.

To configure adaptive sampling:

Expand All @@ -174,7 +171,8 @@ To configure adaptive sampling:

For more information, see [Adaptive Sampling][17].

#### Custom sampling

#### Resource-based sampling

To configure custom sampling rates for the service by resource name:
1. Navigate to the [Ingestion Control][2] page.
Expand Down Expand Up @@ -227,7 +225,7 @@ With remote configuration, you don't have to restart the Agent to update these p

**Note**: Remotely configured parameters take precedence over local configurations such as environment variables and `datadog.yaml` configuration.

### Sampling precedence rules
## Sampling rules' precedence

If sampling rules are set in multiple locations, the following precedence rules apply in order, where rules that appear first on the list can override lower precedence rules:

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