otlp_config_linux.yaml

# Configuration file that uses the OTLP exporters to push data to Splunk products.
# Currently supports only tracing.

receivers:
  jaeger:
    protocols:
      grpc:
        endpoint: 0.0.0.0:14250
      thrift_binary:
        endpoint: 0.0.0.0:6832
      thrift_compact:
        endpoint: 0.0.0.0:6831
      thrift_http:
        endpoint: 0.0.0.0:14268
  otlp:
    protocols:
      grpc:
        endpoint: 0.0.0.0:4317
      http:
        endpoint: 0.0.0.0:4318
  # This section is used to collect the OpenTelemetry Collector metrics
  # Even if just a Splunk APM customer, these metrics are included
  prometheus/internal:
    config:
      scrape_configs:
      - job_name: 'otel-collector'
        scrape_interval: 10s
        static_configs:
        - targets: ['0.0.0.0:8888']
        metric_relabel_configs:
          - source_labels: [ __name__ ]
            regex: 'otelcol_rpc_.*'
            action: drop
          - source_labels: [ __name__ ]
            regex: 'otelcol_http_.*'
            action: drop
          - source_labels: [ __name__ ]
            regex: 'otelcol_processor_batch_.*'
            action: drop
  sapm:
    endpoint: 0.0.0.0:7276
    # Whether to preserve incoming access token and use instead of exporter token
    # default = false
    #access_token_passthrough: true
  signalfx:
    endpoint: 0.0.0.0:9943
  zipkin:
    endpoint: 0.0.0.0:9411

processors:
  batch:
    metadata_keys:
      - X-SF-Token
  # Enabling the memory_limiter is strongly recommended for every pipeline.
  # Configuration is based on the amount of memory allocated to the collector.
  # For more information about memory limiter, see
  # https://github.com/open-telemetry/opentelemetry-collector/blob/main/processor/memorylimiter/README.md
  memory_limiter:
    check_interval: 2s
    limit_mib: ${SPLUNK_MEMORY_LIMIT_MIB}

  # Optional: The following processor can be used to add a default "deployment.environment" attribute to the traces
  # when it's not populated by instrumentation libraries.
  # If enabled, make sure to enable this processor in the pipeline below.
  #resource/add_environment:
    #attributes:
      #- action: insert
        #value: staging/production/...
        #key: deployment.environment

  # Detect if the collector is running on a cloud system. Overrides resource attributes set by receivers.
  # Detector order is important: the `system` detector goes last so it can't preclude cloud detectors from setting host/os info.
  # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/resourcedetectionprocessor#ordering
  resourcedetection/internal:
    detectors: [gcp, ecs, ec2, azure, system]
    override: true

exporters:
  # Traces
  otlphttp:
    traces_endpoint: "https://ingest.${SPLUNK_REALM}.signalfx.com/v2/trace/otlp"
    compression: gzip
    headers:
      "X-SF-Token": "${SPLUNK_ACCESS_TOKEN}"
  # Metrics + Events
  signalfx:
    access_token: "${SPLUNK_ACCESS_TOKEN}"
    realm: "${SPLUNK_REALM}"
  # Debug
  #debug:
    #verbosity: detailed

extensions:
  health_check:
    endpoint: 0.0.0.0:13133
  http_forwarder:
    ingress:
      endpoint: 0.0.0.0:6060
    egress:
      endpoint: "https://api.${SPLUNK_REALM}.signalfx.com"
  zpages:
    endpoint: 0.0.0.0:55679

service:
  extensions: [health_check, http_forwarder, zpages]
  pipelines:
    traces:
      receivers: [jaeger, otlp, zipkin]
      processors:
      - memory_limiter
      - batch
      #- resource/add_environment
      exporters: [otlphttp, signalfx]
    metrics:
      receivers: [otlp, signalfx]
      processors: [memory_limiter, batch]
      exporters: [signalfx]
    metrics/internal:
      receivers: [prometheus/internal]
      processors: [memory_limiter, batch, resourcedetection/internal]
      exporters: [signalfx]
    logs:
      receivers: [signalfx]
      processors: [memory_limiter, batch]
      exporters: [signalfx]