OTLP Ingest in the Agent is a way to send telemetry data directly from applications instrumented with OpenTelemetry SDKs to Datadog Agent. Since versions 6.32.0 and 7.32.0, the Datadog Agent can ingest OTLP traces and OTLP metrics through gRPC or HTTP. Since versions 6.48.0 and 7.48.0, the Datadog Agent can ingest OTLP logs through gRPC or HTTP.

OTLP Ingest in the Agent allows you to use observability features in the Datadog Agent. Data from applications instrumented with OpenTelemetry SDK cannot be used in some Datadog proprietary products, such as Application Security Management, Continuous Profiler, and Ingestion Rules. OpenTelemetry Runtime Metrics are supported for some languages.

To get started, you first instrument your application with OpenTelemetry SDKs. Then, export the telemetry data in OTLP format to the Datadog Agent. Configuring this varies depending on the kind of infrastructure your service is deployed on, as described on the page below. Although the aim is to be compatible with the latest OTLP version, the OTLP Ingest in the Agent is not compatible with all OTLP versions. The versions of OTLP that are compatible with the Datadog Agent are those that are also supported by the OTLP receiver in the OpenTelemetry Collector. To verify the exact versions supported, check the go.opentelemetry.io/collector version in the Agent go.mod file.

Read the OpenTelemetry instrumentation documentation to understand how to point your instrumentation to the Agent. The receiver section described below follows the OpenTelemetry Collector OTLP receiver configuration schema.

OTel SDKs/Libraries, Datadog Trace Library, Datadog Integrations -> Datadog Agent -> Datadog
Note: The supported setup is an ingesting Agent deployed on every OpenTelemetry-data generating host. You cannot send OpenTelemetry telemetry from collectors or instrumented apps running one host to an Agent on a different host. But, provided the Agent is local to the collector or SDK instrumented app, you can set up multiple pipelines.

Enabling OTLP Ingestion on the Datadog Agent

OTLP ingestion is off by default, and you can turn it on by updating your datadog.yaml file configuration or by setting environment variables. The following datadog.yaml configurations enable endpoints on the default ports.

For gRPC, default port 4317:

otlp_config:
  receiver:
    protocols:
      grpc:
        endpoint: localhost:4317

For HTTP, default port 4318:

otlp_config:
  receiver:
    protocols:
      http:
        endpoint: localhost:4318

Alternatively, configure the endpoints by providing the port through the environment variables:

  • For gRPC (localhost:4317): DD_OTLP_CONFIG_RECEIVER_PROTOCOLS_GRPC_ENDPOINT
  • For HTTP (localhost:4318): DD_OTLP_CONFIG_RECEIVER_PROTOCOLS_HTTP_ENDPOINT

These must be passed to both the core Agent and trace Agent processes. If running in a containerized environment, use 0.0.0.0 instead of localhost to ensure the server is available on non-local interfaces.

Configure either gRPC or HTTP for this feature. Here is an example application that shows configuration for both.

OTLP logs ingestion on the Datadog Agent is disabled by default so that you don’t have unexpected logs product usage that may impact billing. To enable OTLP logs ingestion:

  1. Explicitly enable log collection as a whole by following Host Agent Log collection setup:

    logs_enabled: true
    
  2. Set otlp_config.logs.enabled to true:

    otlp_config:
      logs:
        enabled: true
    
  1. Follow the Datadog Docker Agent setup.

  2. For the Datadog Agent container, set the following endpoint environment variables and expose the corresponding port:

    • For gRPC: Set DD_OTLP_CONFIG_RECEIVER_PROTOCOLS_GRPC_ENDPOINT to 0.0.0.0:4317 and expose port 4317.
    • For HTTP: Set DD_OTLP_CONFIG_RECEIVER_PROTOCOLS_HTTP_ENDPOINT to 0.0.0.0:4318 and expose port 4318.
  3. If you want to enable OTLP logs ingestion, set the following endpoint environment variables in the Datadog Agent container:

    • Set DD_LOGS_ENABLED to true.
    • Set DD_OTLP_CONFIG_LOGS_ENABLED to true.
  1. Follow the Kubernetes Agent setup.

  2. Configure the following environment variables in both the trace Agent container and the core Agent container:

    For gRPC:

    name: DD_OTLP_CONFIG_RECEIVER_PROTOCOLS_GRPC_ENDPOINT # enables gRPC receiver on port 4317
    value: "0.0.0.0:4317"
    

    For HTTP:

    name: DD_OTLP_CONFIG_RECEIVER_PROTOCOLS_HTTP_ENDPOINT # enables HTTP receiver on port 4318
    value: "0.0.0.0:4318"
    
  3. Map the container ports 4317 or 4318 to the host port for the core Agent container:

    For gRPC:

    ports:
      - containerPort: 4317
        hostPort: 4317
        name: traceportgrpc
        protocol: TCP
    

    For HTTP

    ports:
      - containerPort: 4318
        hostPort: 4318
        name: traceporthttp
        protocol: TCP
    
  4. If you want to enable OTLP logs ingestion, set the following endpoint environment variables in the core Agent container:

    Enable log collection with your DaemonSet:

    name: DD_LOGS_ENABLED
    value: "true"
    

    And enable OTLP logs ingestion:

    name: DD_OTLP_CONFIG_LOGS_ENABLED
    value: "true"
    
  1. Follow the Kubernetes Agent setup.

  2. Enable the OTLP endpoints in the Agent by editing the datadog.otlp section of the values.yaml file:

    For gRPC:

    otlp:
     receiver:
       protocols:
         grpc:
           enabled: true
    

    For HTTP:

    otlp:
     receiver:
       protocols:
         http:
           enabled: true
    

This enables each protocol in the default port (4317 for OTLP/gRPC and 4318 for OTLP/HTTP).

  1. Follow the Kubernetes Agent setup.

  2. Enable the preferred protocol:

    For gRPC:

    --set "datadog.otlp.receiver.protocols.grpc.enabled=true"
    

    For HTTP:

    --set "datadog.otlp.receiver.protocols.http.enabled=true"
    

This enables each protocol in the default port (4317 for OTLP/gRPC and 4318 for OTLP/HTTP).

There are many other environment variables and settings supported in the Datadog Agent. To get an overview of them all, see the configuration template.

Sending OpenTelemetry traces, metrics, and logs to Datadog Agent

  1. For the application container, set OTEL_EXPORTER_OTLP_ENDPOINT environment variable to point to the Datadog Agent container. For example:

    OTEL_EXPORTER_OTLP_ENDPOINT=http://<datadog-agent>:4318
    
  2. Both containers must be defined in the same bridge network, which is handled automatically if you use Docker Compose. Otherwise, follow the Docker example in Tracing Docker Applications to set up a bridge network with the correct ports.

In the application deployment file, configure the endpoint that the OpenTelemetry client sends traces to with the OTEL_EXPORTER_OTLP_ENDPOINT environment variable.

For gRPC:

env:
 - name: HOST_IP
   valueFrom:
     fieldRef:
       fieldPath: status.hostIP
 - name: OTEL_EXPORTER_OTLP_ENDPOINT
   value: "http://$(HOST_IP):4317" # sends to gRPC receiver on port 4317

For HTTP:

env:
 - name: HOST_IP
   valueFrom:
     fieldRef:
       fieldPath: status.hostIP
 - name: OTEL_EXPORTER_OTLP_ENDPOINT
   value: "http://$(HOST_IP):4318" # sends to HTTP receiver on port 4318

Note: To enrich container tags for custom metrics, set the appropriate resource attributes in the application code where your OTLP metrics are generated. For example, set the container.id resource attribute to the pod’s UID.

When configuring the endpoint for sending traces, ensure you use the correct path required by your OTLP library. Some libraries expect traces to be sent to the /v1/traces path, while others use the root path /.

Out-of-the-box dashboards

Datadog provides out-of-the-box dashboards that you can copy and customize. To use Datadog’s out-of-the-box OpenTelemetry dashboards:

  1. Install the OpenTelemetry integration.

  2. Go to Dashboards > Dashboards list and search for opentelemetry:

    The Dashboards list, showing two OpenTelemetry out-of-the-box dashboards: Host Metrics and Collector Metrics.

The Host Metrics dashboard is for data collected from the host metrics receiver. The Collector Metrics dashboard is for any other types of metrics collected, depending on which metrics receiver you choose to enable.

Further reading