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6 changes: 6 additions & 0 deletions docs/reference/edot-collector/config/default-config-k8s.md
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Expand Up @@ -44,6 +44,12 @@ The [`filelog`] and [`hostmetrics`] receivers are used to gather container logs

Logs and metrics are batched for better performance ([`batch`] processor) and then enriched with meta information using the [`k8sattributes`], [`resourcedetection`] and [`resource`] processors.

:::{note}
The `from_context: client_metadata` option in the `resource` processor only applies to transport-level metadata. It cannot extract custom application attributes.

To propagate such values into your telemetry, set them explicitly in your application code using EDOT SDK instrumentation. For more information, refer to [EDOT Collector doesn’t propagate client metadata](docs-content://troubleshoot/ingest/opentelemetry/edot-collector/metadata.md).
:::

### Application telemetry through OTLP from OTel SDKs

The Daemonset collectors also receive the application telemetry from OTel SDKs that instrument services and pods running on corresponding Kubernetes nodes.
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Expand Up @@ -53,6 +53,12 @@ The goal of EDOT is to preserve OTel data formats and semantics as much as possi

For logs collection, the default configuration uses the [`filelog`] receiver to read log entries from files. In addition, the [`resourcedetection`] processor enriches the log entries with metadata about the corresponding host and operating system.

:::{note}
The `from_context: client_metadata` option in the `resource` processor only applies to transport-level metadata. It cannot extract custom application attributes.

To propagate such values into your telemetry, set them explicitly in your application code using EDOT SDK instrumentation. For more information, refer to [EDOT Collector doesn’t propagate client metadata](docs-content://troubleshoot/ingest/opentelemetry/edot-collector/metadata.md).
:::

Data is exported directly to {{es}} using the [`elasticsearch`] exporter in `OTel-native` mode.

#### Application and traces collection pipeline
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