statsd.yaml

receivers:
  statsd:
    aggregation_interval: 60s
    endpoint: 0.0.0.0:8125
    timer_histogram_mapping:
      - statsd_type: "histogram"
        observer_type: "histogram"
        histogram:
          # max size for the auto-scaling exponential histgram OTLP metric
          max_size: 100
      - statsd_type: "timing"
        observer_type: "histogram"
        histogram:
          max_size: 100
      - statsd_type: "distribution"
        observer_type: "histogram"
        histogram:
          max_size: 100

processors:
  transform:
    metric_statements:
      - context: metric
        statements:
          # Get count from the histogram. The new metric name will be <histogram_name>_count
          - extract_count_metric(true) where type == METRIC_DATA_TYPE_HISTOGRAM
          # Get sum from the histogram. The new metric name will be <histogram_name>_sum
          - extract_sum_metric(true) where type == METRIC_DATA_TYPE_HISTOGRAM
          # convert the <histogram_name>_sum metrics to gauges.
          - convert_sum_to_gauge() where IsMatch(name, ".*_sum")
  filter:
    metrics:
      metric:
        # Drop metrics of type histogram. The _count and _sum metrics will still be exported.
        - type == METRIC_DATA_TYPE_HISTOGRAM

exporters:
  otlphttp:
    endpoint: ${env:DT_ENDPOINT}
    headers:
      Authorization: "Api-Token ${env:DT_API_TOKEN}"

service:
  pipelines:
    metrics:
      receivers: [statsd]
      processors: [transform,filter]
      exporters: [otlphttp]