Docs » Get started with the Splunk Distribution of the OpenTelemetry Collector » Collector components » OTLP/HTTP exporter

OTLP/HTTP exporter 🔗

The OTLP/HTTP exporter sends metrics, traces, and logs through HTTP using the OTLP format (application/x-protobuf content-type). The supported pipeline types are traces, metrics, and logs. See Process your data with pipelines for more information.

Note

For information on the OTLP exporter, see OTLP exporter.

Get started 🔗

Follow these steps to configure and activate the component:

  1. Deploy the Splunk Distribution of OpenTelemetry Collector to your host or container platform:

  1. Configure the exporter as described in the next section.

  2. Restart the Collector.

The OTLP/HTTP exporter is not included in the default configuration of the Splunk Distribution of the OpenTelemetry Collector. If you want to add it, the following settings are required:

  • endpoint. The target base URL to send data to, for example https://example.com:4318. No default value.

    • Each type of signal is added to this base URL. For example, for traces, https://example.com:4318/v1/traces.

The following settings are optional:

  • logs_endpoint. The target URL to send log data to.

    • For example, https://example.com:4318/v1/logs.

    • If this setting is present, the endpoint setting is ignored for logs.

  • metrics_endpoint. The target URL to send metric data to.

    • For example, https://example.com:4318/v1/metrics.

    • If this setting is present, the endpoint setting is ignored for metrics.

  • traces_endpoint. The target URL to send trace data to.

    • For example, https://example.com:4318/v1/traces.

    • If this setting is present, the endpoint setting is ignored for traces.

  • tls. See TLS Configuration Settings in this document for the full set of available options.

  • timeout. 30s by default. HTTP request time limit. For details see https://golang.org/pkg/net/http/#Client.

  • read_buffer_size. 0 by default. ReadBufferSize for HTTP client.

  • write_buffer_size. 512 * 1024 by default. WriteBufferSize for the HTTP client.

Sample configurations 🔗

To send traces and metrics to Splunk Observability Cloud using OTLP over HTTP, configure the metrics_endpoint and traces_endpoint settings to the REST API ingest endpoints. For example:

exporters:
  otlphttp:
     metrics_endpoint: "https://ingest.${SPLUNK_REALM}.signalfx.com/v2/datapoint/otlp"
     traces_endpoint: "https://ingest.${SPLUNK_REALM}.signalfx.com/v2/trace/otlp"
     compression: gzip
     headers:
       "X-SF-Token": "${SPLUNK_ACCESS_TOKEN}"

To complete the configuration, include the receiver in the required pipeline of the service section of your configuration file. For example:

service:
  pipelines:
    metrics:
      exporters: [otlphttp]
    traces:
      exporters: [otlphttp]

Configuration examples 🔗

This is a detailed configuration example:

endpoint: "https://1.2.3.4:1234"
tls:
  ca_file: /var/lib/mycert.pem
  cert_file: certfile
  key_file: keyfile
  insecure: true
timeout: 10s
read_buffer_size: 123
write_buffer_size: 345
sending_queue:
  enabled: true
  num_consumers: 2
  queue_size: 10
retry_on_failure:
  enabled: true
  initial_interval: 10s
  randomization_factor: 0.7
  multiplier: 1.3
  max_interval: 60s
  max_elapsed_time: 10m
headers:
  "can you have a . here?": "F0000000-0000-0000-0000-000000000000"
  header1: 234
  another: "somevalue"
compression: gzip

Configure gzip compression 🔗

By default, gzip compression is turned on. To turn it off, use the following configuration:

exporters:
  otlphttp:
    ...
    compression: none

Settings 🔗

The following table shows the configuration options for the OTLP/HTTP exporter:

Troubleshooting 🔗

If you are a Splunk Observability Cloud customer and are not able to see your data in Splunk Observability Cloud, you can get help in the following ways.

Available to Splunk Observability Cloud customers

Available to prospective customers and free trial users

  • Ask a question and get answers through community support at Splunk Answers .

  • Join the Splunk #observability user group Slack channel to communicate with customers, partners, and Splunk employees worldwide. To join, see Chat groups in the Get Started with Splunk Community manual.

To learn about even more support options, see Splunk Customer Success .