[DOCS-11765] Add OP Splunk HEC Distribution of OTel and DDOT

content/en/observability_pipelines/sources/datadog_agent.md

@@ -5,6 +5,8 @@ disable_toc: false
 
 Use Observability Pipelines' Datadog Agent source to receive logs from the Datadog Agent. Select and set up this source when you [set up a pipeline][1].
 
+**Note**: If you are using the Datadog Distribution of OpenTelemetry (DDOT) Collector, you must [use the OpenTelemetry source to send logs to Observability Pipelines][4].
+
 ## Prerequisites
 
 {{% observability_pipelines/prerequisites/datadog_agent %}}
@@ -38,4 +40,5 @@ Use the Agent configuration file or the Agent Helm chart values file to connect
 
 [1]: /observability_pipelines/configuration/set_up_pipelines/
 [2]: /containers/docker/log/?tab=containerinstallation#linux
-[3]: /containers/guide/container-discovery-management/?tab=helm#setting-environment-variables
+[3]: /containers/guide/container-discovery-management/?tab=helm#setting-environment-variables
+[4]: /observability_pipelines/sources/opentelemetry/#send-logs-from-the-datadog-distribution-of-opentelemetry-collector-to-observability-pipelines

content/en/observability_pipelines/sources/opentelemetry.md

@@ -1,12 +1,16 @@
 ---
-title: OpenTelemetry
+title: OpenTelemetry Source
 disable_toc: false
 ---
 
 ## Overview
 
 Use Observability Pipelines' OpenTelemetry (OTel) source to collect logs from your OTel Collector through HTTP or gRPC. Select and set up this source when you set up a pipeline. The information below is configured in the pipelines UI.
 
+**Notes**:
+- If you are using the Datadog Distribution of OpenTelemetry (DDOT) Collector, use the OpenTelemetry source to [send logs to Observability Pipelines](#send-logs-from-the-datadog-distribution-of-opentelemetry-collector-to-observability-pipelines).
+- If you are using the Splunk HEC Distribution of the OpenTelemetry Collector, use the [Splunk HEC source][4] to send logs to Observability Pipelines.
+
 ### When to use this source
 
 Common scenarios when you might use this source:
@@ -70,9 +74,48 @@ The Worker exposes the gRPC endpoint on port 4318. This is an example of configu
 
 Based on these example configurations, these are values you enter for the following environment variables:
 
-- HTTP listener address: `worker:4317`
-- gRPC listener address: `worker:4318`
+- HTTP listener address: `worker:4318`
+- gRPC listener address: `worker:4317`
+
+## Send logs from the Datadog Distribution of OpenTelemetry Collector to Observability Pipelines
+
+To send logs from the Datadog Distribution of the OpenTelemetry (DDOT) Collector:
+1. Deploy the DDOT Collector using Helm. See [Install the DDOT Collector as a Kubernetes DaemonSet][5] for instructions.
+1. [Set up a pipeline][6] on Observability Pipelines using the [OpenTelemetry source](#set-up-the-source-in-the-pipeline-ui).
+    1. (Optional) Datadog recommends adding an [Edit Fields processor][7] to the pipeline that appends the field `op_otel_ddot:true`.
+    1. When you install the Worker, for the OpenTelemetry source environment variables:
+        1. Set your HTTP listener to `0.0.0.0:4318`.
+        1. Set your gRPC listener to `0.0.0.0:4317`.
+    1. After you install the Worker and deployed the pipeline, update the OpenTelemetry Collector's [`otel-config.yaml`][9] to include an exporter that sends logs to Observability Pipelines. For example:
+        ```
+        exporters:
+            otlphttp:
+                endpoint: http://opw-observability-pipelines-worker.default.svc.cluster.local:4318
+        ...
+        service:
+            pipelines:
+                logs:
+                    exporters: [otlphttp]
+        ```
+    1. Redeploy the Datadog Agent with the updated [`otel-config.yaml`][9]. For example, if the Agent is installed in Kubernetes:
+        ```
+        helm upgrade --install datadog-agent datadog/datadog \
+        --values ./agent.yaml \
+        --set-file datadog.otelCollector.config=./otel-config.yaml
+        ```
+
+**Notes**:
+- Because DDOT is sending logs to Observability Pipelines, and not the Datadog Agent, the following settings do not work for sending logs from DDOT to Observability Pipelines:
+    - `DD_OBSERVABILITY_PIPELINES_WORKER_LOGS_ENABLED`
+    - `DD_OBSERVABILITY_PIPELINES_WORKER_LOGS_URL`
+- Logs sent from DDOT might have nested objects that prevent Datadog from parsing the logs correctly. To resolve this, Datadog recommends using the [Custom Processor][8] to flatten the nested `resource` object.
 
 [1]: https://opentelemetry.io/docs/collector/
 [2]: /observability_pipelines/sources/
-[3]: /observability_pipelines/configuration/install_the_worker/advanced_worker_configurations/#bootstrap-options
+[3]: /observability_pipelines/configuration/install_the_worker/advanced_worker_configurations/#bootstrap-options
+[4]: /observability_pipelines/sources/splunk_hec/#send-logs-from-the-splunk-distributor-of-the-opentelemetry-collector-to-observability-pipelines
+[5]: /opentelemetry/setup/ddot_collector/install/kubernetes_daemonset/?tab=datadogoperator
+[6]: /observability_pipelines/configuration/set_up_pipelines/
+[7]: /observability_pipelines/processors/edit_fields#add-field
+[8]: /observability_pipelines/processors/custom_processor
+[9]: https://docs.datadoghq.com/opentelemetry/setup/ddot_collector/install/kubernetes_daemonset/?tab=helm#configure-the-opentelemetry-collector

content/en/observability_pipelines/sources/splunk_hec.md

@@ -5,6 +5,8 @@ disable_toc: false
 
 Use Observability Pipelines' Splunk HTTP Event Collector (HEC) source to receive logs from your Splunk HEC. Select and set up this source when you [set up a pipeline][1].
 
+**Note**: Use the Splunk HEC source if you want to [send logs from the Splunk Distribution of the OpenTelemetry Collector to Observability Pipelines](#send-logs-from-the-splunk-distribution-of-the-opentelemetry-collector-to-observability-pipelines).
+
 ## Prerequisites
 
 {{% observability_pipelines/prerequisites/splunk_hec %}}
@@ -21,4 +23,31 @@ Select and set up this source when you [set up a pipeline][1]. The information b
 
 {{% observability_pipelines/log_source_configuration/splunk_hec %}}
 
+## Send logs from the Splunk Distribution of the OpenTelemetry Collector to Observability Pipelines
+
+To send logs from the Splunk Distribution of the OpenTelemetry Collector:
+
+1. Install the Splunk OpenTelemetry Collector based on your environment:
+    - [Kubernetes][2]
+    - [Linux][3]
+1. [Set up a pipeline][4] using the [Splunk HEC source](#set-up-the-source-in-the-pipeline-ui).
+1. Configure the Splunk OpenTelemetry Collector:
+    ```bash
+    cp /etc/otel/collector/splunk-otel-collector.conf.example etc/otel/collector/splunk-otel-collector.conf
+    ```
+    ```bash
+    # Splunk HEC endpoint URL, if forwarding to Splunk Observability Cloud
+    # SPLUNK_HEC_URL=https://ingest.us0.signalfx.com/v1/log
+    # If you're forwarding to a Splunk Enterprise instance running on example.com, with HEC at port 8088:
+    SPLUNK_HEC_URL=http://<OPW_HOST>:8088/services/collector
+    ```
+   -  `<OPW_HOST>` is the IP or URL of the host (or load balancer) associated with the Observability Pipelines Worker.
+        - For CloudFormation installs, the `LoadBalancerDNS` CloudFormation output has the correct URL to use.
+        - For Kubernetes installs, the internal DNS record of the Observability Pipelines Worker service can be used, for example `opw-observability-pipelines-worker.default.svc.cluster.local`.
+
+**Note**: If you are using a firewall, make sure your firewall allows traffic from the Splunk OpenTelemetry Collector to the Worker.
+
 [1]: /observability_pipelines/configuration/set_up_pipelines/
+[2]: https://help.splunk.com/en/splunk-observability-cloud/manage-data/splunk-distribution-of-the-opentelemetry-collector/get-started-with-the-splunk-distribution-of-the-opentelemetry-collector/collector-for-kubernetes
+[3]: https://help.splunk.com/en/splunk-observability-cloud/manage-data/splunk-distribution-of-the-opentelemetry-collector/get-started-with-the-splunk-distribution-of-the-opentelemetry-collector/collector-for-linux
+[4]: /observability_pipelines/configuration/set_up_pipelines