Head sampling

Documentation

OpenTelemetry

Set up OpenTelemetry Collector

Sample your data

Head sampling

Overview

With a head sampling strategy, you decide whether to sample a trace as early as possible, without needing to consider the entire trace. This approach is simple but effective.

You can implement head sampling at the application level using SDKs, or at the collector level in Grafana Alloy or OpenTelemetry Collector as probabilistic sampling. This keeps configuration separate from your application.

For Application Observability, perform probabilistic head sampling at the collector after metrics generation. This ensures all traces are available to generate accurate metrics.

Before you begin

Don’t use a sampling strategy at the application level.
Use Grafana Alloy or OpenTelemetry Collector to collect traces from your application, generate metrics from traces, and apply sampling.
Send all traces to the data collector to generate accurate metrics.

In Application Observability on Grafana Cloud:

Disable metrics generation in the configuration.
Choose OTEL Collector >= 0.94, Grafana Alloy >= 1.0, Grafana Agent >= 0.40 span metrics source in the configuration.

Configuration

The collector receives all traces, generates metrics, and sends metrics to Grafana Cloud Prometheus. In parallel, the collector applies a probabilistic sampling strategy to the traces and sends sampled data to Grafana Cloud Tempo.

To view the Grafana Alloy configuration for head sampling, select the river tab below. To view the OpenTelemetry Collector configuration for head sampling, select the yaml tab below.

river
otelcol.receiver.otlp "default" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.receiver.otlp/

	// configures the default grpc endpoint "0.0.0.0:4317"
	grpc { }
	// configures the default http/protobuf endpoint "0.0.0.0:4318"
	http { }

	output {
		metrics = [otelcol.processor.resourcedetection.default.input]
		logs    = [otelcol.processor.resourcedetection.default.input]
		traces  = [otelcol.processor.resourcedetection.default.input]
	}
}

otelcol.processor.resourcedetection "default" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.processor.resourcedetection/
	detectors = ["env", "system"]

	system {
		hostname_sources = ["os"]
	}

	output {
		metrics = [otelcol.processor.transform.drop_unneeded_resource_attributes.input]
		logs    = [otelcol.processor.transform.drop_unneeded_resource_attributes.input]
		traces  = [otelcol.processor.transform.drop_unneeded_resource_attributes.input]
	}
}

otelcol.processor.transform "add_resource_attributes_as_metric_attributes" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.processor.transform/
	error_mode = "ignore"

	metric_statements {
		context    = "datapoint"
		statements = [
			"set(attributes[\"deployment.environment\"], resource.attributes[\"deployment.environment\"])",
			"set(attributes[\"service.version\"], resource.attributes[\"service.version\"])",
		]
	}

	output {
		metrics = [otelcol.processor.batch.default.input]
	}
}

otelcol.connector.spanmetrics "default" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.connector.spanmetrics/

	dimension {
		name = "service.namespace"
	}

	dimension {
		name = "service.version"
	}

	dimension {
		name = "deployment.environment"
	}

	dimension {
		name = "k8s.cluster.name"
	}

	dimension {
		name = "k8s.namespace.name"
	}

	dimension {
		name = "cloud.region"
	}

	dimension {
		name = "cloud.availability_zone"
	}

	histogram {
		explicit {
			buckets = ["0s", "0.005s", "0.01s", "0.025s", "0.05s", "0.075s", "0.1s", "0.25s", "0.5s", "0.75s", "1s", "2.5s", "5s", "7.5s", "10s"]
		}
		unit = "s"
	}

	output {
		metrics = [otelcol.processor.filter.drop_unneeded_span_metrics.input]
	}
}

otelcol.processor.filter "drop_unneeded_span_metrics" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.processor.filter/
	error_mode = "ignore"

	metrics {
		datapoint = [
			"IsMatch(metric.name, \"calls|duration\") and IsMatch(attributes[\"span.kind\"], \"SPAN_KIND_INTERNAL\")",
		]
	}

	output {
		metrics = [otelcol.processor.batch.default.input]
	}
}

otelcol.processor.transform "drop_unneeded_resource_attributes" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.processor.transform/
	error_mode = "ignore"

	trace_statements {
		context    = "resource"
		statements = [
			"delete_key(attributes, \"k8s.pod.start_time\")",
			"delete_key(attributes, \"os.description\")",
			"delete_key(attributes, \"os.type\")",
			"delete_key(attributes, \"process.command_args\")",
			"delete_key(attributes, \"process.executable.path\")",
			"delete_key(attributes, \"process.pid\")",
			"delete_key(attributes, \"process.runtime.description\")",
			"delete_key(attributes, \"process.runtime.name\")",
			"delete_key(attributes, \"process.runtime.version\")",
		]
	}

	metric_statements {
		context    = "resource"
		statements = [
			"delete_key(attributes, \"k8s.pod.start_time\")",
			"delete_key(attributes, \"os.description\")",
			"delete_key(attributes, \"os.type\")",
			"delete_key(attributes, \"process.command_args\")",
			"delete_key(attributes, \"process.executable.path\")",
			"delete_key(attributes, \"process.pid\")",
			"delete_key(attributes, \"process.runtime.description\")",
			"delete_key(attributes, \"process.runtime.name\")",
			"delete_key(attributes, \"process.runtime.version\")",
		]
	}

	log_statements {
		context    = "resource"
		statements = [
			"delete_key(attributes, \"k8s.pod.start_time\")",
			"delete_key(attributes, \"os.description\")",
			"delete_key(attributes, \"os.type\")",
			"delete_key(attributes, \"process.command_args\")",
			"delete_key(attributes, \"process.executable.path\")",
			"delete_key(attributes, \"process.pid\")",
			"delete_key(attributes, \"process.runtime.description\")",
			"delete_key(attributes, \"process.runtime.name\")",
			"delete_key(attributes, \"process.runtime.version\")",
		]
	}

	output {
		traces = [
			otelcol.connector.servicegraph.default.input,
			otelcol.connector.spanmetrics.default.input,
			otelcol.processor.probabilistic_sampler.default.input,
			otelcol.connector.host_info.default.input,
		]
		metrics = [otelcol.processor.transform.add_resource_attributes_as_metric_attributes.input]
		logs    = [otelcol.processor.batch.default.input]
	}
}

otelcol.connector.servicegraph "default" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.connector.servicegraph/
	dimensions = [
		"service.namespace",
		"service.version",
		"deployment.environment",
		"k8s.cluster.name",
		"k8s.namespace.name",
		"cloud.region",
		"cloud.availability_zone",
	]
	latency_histogram_buckets = ["0s", "0.005s", "0.01s", "0.025s", "0.05s", "0.075s", "0.1s", "0.25s", "0.5s", "0.75s", "1s", "2.5s", "5s", "7.5s", "10s"]

	store {
		ttl = "2s"
	}

	output {
		metrics = [otelcol.processor.batch.default.input]
	}
}

otelcol.processor.batch "default" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.processor.batch/
	output {
		metrics = [otelcol.exporter.otlphttp.grafana_cloud.input]
		logs    = [otelcol.exporter.otlphttp.grafana_cloud.input]
		traces  = [otelcol.exporter.otlphttp.grafana_cloud.input]
	}
}

otelcol.processor.probabilistic_sampler "default" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.processor.probabilistic_sampler/
	// Examples: keep 10% of traces
	sampling_percentage = 10

	output {
		traces = [otelcol.processor.batch.default.input]
	}
}

otelcol.connector.host_info "default" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.connector.host_info/
	host_identifiers = ["host.name"]

	output {
		metrics = [otelcol.processor.batch.default.input]
	}
}

otelcol.exporter.otlphttp "grafana_cloud" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.exporter.otlphttp/
	client {
		endpoint = env("GRAFANA_CLOUD_OTLP_ENDPOINT")
		auth     = otelcol.auth.basic.grafana_cloud.handler
	}
}

otelcol.auth.basic "grafana_cloud" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.auth.basic/
	username = env("GRAFANA_CLOUD_INSTANCE_ID")
	password = env("GRAFANA_CLOUD_API_KEY")
}

yaml
# Tested with OpenTelemetry Collector Contrib v0.94.0
receivers:
  otlp:
    # https://github.com/open-telemetry/opentelemetry-collector/tree/main/receiver/otlpreceiver
    protocols:
      grpc:
      http:
  hostmetrics:
    # Optional. Host Metrics Receiver added as an example of Infra Monitoring capabilities of the OpenTelemetry Collector
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/receiver/hostmetricsreceiver
    scrapers:
      load:
      memory:

processors:
  batch:
  # https://github.com/open-telemetry/opentelemetry-collector/tree/main/processor/batchprocessor
  resourcedetection:
    # Enriches telemetry data with resource information from the host
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/resourcedetectionprocessor
    detectors: ["env", "system"]
    override: false
  transform/add_resource_attributes_as_metric_attributes:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/transformprocessor
    error_mode: ignore
    metric_statements:
      - context: datapoint
        statements:
          - set(attributes["deployment.environment"], resource.attributes["deployment.environment"])
          - set(attributes["service.version"], resource.attributes["service.version"])
  filter/drop_unneeded_span_metrics:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/filterprocessor
    error_mode: ignore
    metrics:
      datapoint:
        - 'IsMatch(metric.name, "calls|duration") and IsMatch(attributes["span.kind"], "SPAN_KIND_INTERNAL")'
  transform/drop_unneeded_resource_attributes:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/transformprocessor
    error_mode: ignore
    trace_statements:
      - context: resource
        statements:
          - delete_key(attributes, "k8s.pod.start_time")
          - delete_key(attributes, "os.description")
          - delete_key(attributes, "os.type")
          - delete_key(attributes, "process.command_args")
          - delete_key(attributes, "process.executable.path")
          - delete_key(attributes, "process.pid")
          - delete_key(attributes, "process.runtime.description")
          - delete_key(attributes, "process.runtime.name")
          - delete_key(attributes, "process.runtime.version")
    metric_statements:
      - context: resource
        statements:
          - delete_key(attributes, "k8s.pod.start_time")
          - delete_key(attributes, "os.description")
          - delete_key(attributes, "os.type")
          - delete_key(attributes, "process.command_args")
          - delete_key(attributes, "process.executable.path")
          - delete_key(attributes, "process.pid")
          - delete_key(attributes, "process.runtime.description")
          - delete_key(attributes, "process.runtime.name")
          - delete_key(attributes, "process.runtime.version")
    log_statements:
      - context: resource
        statements:
          - delete_key(attributes, "k8s.pod.start_time")
          - delete_key(attributes, "os.description")
          - delete_key(attributes, "os.type")
          - delete_key(attributes, "process.command_args")
          - delete_key(attributes, "process.executable.path")
          - delete_key(attributes, "process.pid")
          - delete_key(attributes, "process.runtime.description")
          - delete_key(attributes, "process.runtime.name")
          - delete_key(attributes, "process.runtime.version")
  probabilistic_sampler:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/probabilisticsamplerprocessor
    # Examples: keep 10% of traces
    sampling_percentage: 10

connectors:
  servicegraph:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/connector/servicegraphconnector
    dimensions:
      - service.namespace
      - service.version
      - deployment.environment
      - k8s.cluster.name
      - k8s.namespace.name
      - cloud.region
      - cloud.availability_zone

  spanmetrics:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/connector/spanmetricsconnector
    histogram:
      unit: s
    dimensions:
      - name: service.namespace
      - name: service.version
      - name: deployment.environment
      - name: k8s.cluster.name
      - name: k8s.namespace.name
      - name: cloud.region
      - name: cloud.availability_zone

  grafanacloud:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/connector/grafanacloudconnector
    host_identifiers: ["host.name"]

exporters:
  otlphttp/grafana_cloud:
    # https://github.com/open-telemetry/opentelemetry-collector/tree/main/exporter/otlphttpexporter
    endpoint: "${env:GRAFANA_CLOUD_OTLP_ENDPOINT}"
    auth:
      authenticator: basicauth/grafana_cloud

extensions:
  basicauth/grafana_cloud:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/extension/basicauthextension
    client_auth:
      username: "${env:GRAFANA_CLOUD_INSTANCE_ID}"
      password: "${env:GRAFANA_CLOUD_API_KEY}"

service:
  extensions:
    [
      basicauth/grafana_cloud,
    ]
  pipelines:
    traces:
      receivers: [otlp]
      processors:
        [resourcedetection, transform/drop_unneeded_resource_attributes]
      exporters: [servicegraph, spanmetrics, grafanacloud]
    traces/grafana_cloud_traces:
      receivers: [otlp]
      processors:
        [
          resourcedetection,
          transform/drop_unneeded_resource_attributes,
          probabilistic_sampler,
          batch
        ]
      exporters: [otlphttp/grafana_cloud]
    metrics:
      receivers: [otlp, hostmetrics]
      processors:
        [
          resourcedetection,
          transform/drop_unneeded_resource_attributes,
          transform/add_resource_attributes_as_metric_attributes,
          batch,
        ]
      exporters: [otlphttp/grafana_cloud]
    metrics/grafanacloud:
      receivers: [grafanacloud]
      processors: [batch]
      exporters: [otlphttp/grafana_cloud]
    metrics/spanmetrics:
      receivers: [spanmetrics]
      processors:
        [
          filter/drop_unneeded_span_metrics,
          batch,
        ]
      exporters: [otlphttp/grafana_cloud]
    metrics/servicegraph:
      receivers: [servicegraph]
      processors: [batch]
      exporters: [otlphttp/grafana_cloud]

    logs:
      receivers: [otlp]
      processors: [resourcedetection, transform/drop_unneeded_resource_attributes, batch]
      exporters: [otlphttp/grafana_cloud]

The Legacy option for span metrics source in the configuration is for customers who use Grafana Alloy or OpenTelemetry Collector with metric names that match those used by the Tempo metrics generator.

If you chose the Legacy option for span metrics source you should use legacy configuration below.

To view the Grafana Alloy legacy configuration for head sampling, select the river tab below. To view the OpenTelemetry Collector legacy configuration for head sampling, select the yaml tab below.

river
otelcol.receiver.otlp "default" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.receiver.otlp/

	// configures the default grpc endpoint "0.0.0.0:4317"
	grpc { }
	// configures the default http/protobuf endpoint "0.0.0.0:4318"
	http { }

	output {
		metrics = [otelcol.processor.resourcedetection.default.input]
		logs    = [otelcol.processor.resourcedetection.default.input]
		traces  = [otelcol.processor.resourcedetection.default.input]
	}
}

otelcol.processor.resourcedetection "default" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.processor.resourcedetection/
	detectors = ["env", "system"]

	system {
		hostname_sources = ["os"]
	}

	output {
		metrics = [otelcol.processor.transform.drop_unneeded_resource_attributes.input]
		logs    = [otelcol.processor.transform.drop_unneeded_resource_attributes.input]
		traces  = [otelcol.processor.transform.drop_unneeded_resource_attributes.input]
	}
}

otelcol.processor.transform "add_resource_attributes_as_metric_attributes" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.processor.transform/
	error_mode = "ignore"

	metric_statements {
		context    = "datapoint"
		statements = [
			"set(attributes[\"deployment.environment\"], resource.attributes[\"deployment.environment\"])",
			"set(attributes[\"service.version\"], resource.attributes[\"service.version\"])",
		]
	}

	output {
		metrics = [otelcol.processor.batch.default.input]
	}
}

otelcol.connector.spanmetrics "default" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.connector.spanmetrics/

	dimension {
		name = "service.namespace"
	}

	dimension {
		name = "service.version"
	}

	dimension {
		name = "deployment.environment"
	}

	dimension {
		name = "k8s.cluster.name"
	}

	dimension {
		name = "k8s.namespace.name"
	}

	dimension {
		name = "cloud.region"
	}

	dimension {
		name = "cloud.availability_zone"
	}

	histogram {
		explicit {
			buckets = ["0s", "0.005s", "0.01s", "0.025s", "0.05s", "0.075s", "0.1s", "0.25s", "0.5s", "0.75s", "1s", "2.5s", "5s", "7.5s", "10s"]
		}
		unit = "s"
	}

	namespace = "traces.spanmetrics"

	output {
		metrics = [otelcol.processor.filter.drop_unneeded_span_metrics.input]
	}
}

otelcol.processor.filter "drop_unneeded_span_metrics" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.processor.filter/
	error_mode = "ignore"

	metrics {
		datapoint = [
			"IsMatch(metric.name, \"traces.spanmetrics.calls|traces.spanmetrics.duration\") and IsMatch(attributes[\"span.kind\"], \"SPAN_KIND_INTERNAL\")",
		]
	}

	output {
		metrics = [otelcol.processor.transform.use_grafana_metric_names.input]
	}
}

otelcol.processor.transform "use_grafana_metric_names" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.processor.transform/
	error_mode = "ignore"

	metric_statements {
		context    = "metric"
		statements = [
			"set(name, \"traces.spanmetrics.latency\") where name == \"traces.spanmetrics.duration\"",
			"set(name, \"traces.spanmetrics.calls.total\") where name == \"traces.spanmetrics.calls\"",
		]
	}

	output {
		metrics = [otelcol.processor.batch.default.input]
	}
}

otelcol.processor.transform "drop_unneeded_resource_attributes" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.processor.transform/
	error_mode = "ignore"

	trace_statements {
		context    = "resource"
		statements = [
			"delete_key(attributes, \"k8s.pod.start_time\")",
			"delete_key(attributes, \"os.description\")",
			"delete_key(attributes, \"os.type\")",
			"delete_key(attributes, \"process.command_args\")",
			"delete_key(attributes, \"process.executable.path\")",
			"delete_key(attributes, \"process.pid\")",
			"delete_key(attributes, \"process.runtime.description\")",
			"delete_key(attributes, \"process.runtime.name\")",
			"delete_key(attributes, \"process.runtime.version\")",
		]
	}

	metric_statements {
		context    = "resource"
		statements = [
			"delete_key(attributes, \"k8s.pod.start_time\")",
			"delete_key(attributes, \"os.description\")",
			"delete_key(attributes, \"os.type\")",
			"delete_key(attributes, \"process.command_args\")",
			"delete_key(attributes, \"process.executable.path\")",
			"delete_key(attributes, \"process.pid\")",
			"delete_key(attributes, \"process.runtime.description\")",
			"delete_key(attributes, \"process.runtime.name\")",
			"delete_key(attributes, \"process.runtime.version\")",
		]
	}

	log_statements {
		context    = "resource"
		statements = [
			"delete_key(attributes, \"k8s.pod.start_time\")",
			"delete_key(attributes, \"os.description\")",
			"delete_key(attributes, \"os.type\")",
			"delete_key(attributes, \"process.command_args\")",
			"delete_key(attributes, \"process.executable.path\")",
			"delete_key(attributes, \"process.pid\")",
			"delete_key(attributes, \"process.runtime.description\")",
			"delete_key(attributes, \"process.runtime.name\")",
			"delete_key(attributes, \"process.runtime.version\")",
		]
	}

	output {
		traces = [
			otelcol.connector.servicegraph.default.input,
			otelcol.connector.spanmetrics.default.input,
			otelcol.processor.probabilistic_sampler.default.input,
			otelcol.connector.host_info.default.input,
		]
		metrics = [otelcol.processor.transform.add_resource_attributes_as_metric_attributes.input]
		logs    = [otelcol.processor.batch.default.input]
	}
}

otelcol.connector.servicegraph "default" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.connector.servicegraph/
	dimensions = [
		"service.namespace",
		"service.version",
		"deployment.environment",
		"k8s.cluster.name",
		"k8s.namespace.name",
		"cloud.region",
		"cloud.availability_zone",
	]
	latency_histogram_buckets = ["0s", "0.005s", "0.01s", "0.025s", "0.05s", "0.075s", "0.1s", "0.25s", "0.5s", "0.75s", "1s", "2.5s", "5s", "7.5s", "10s"]

	store {
		ttl = "2s"
	}

	output {
		metrics = [otelcol.processor.batch.default.input]
	}
}

otelcol.processor.batch "default" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.processor.batch/
	output {
		metrics = [otelcol.exporter.otlphttp.grafana_cloud.input]
		logs    = [otelcol.exporter.otlphttp.grafana_cloud.input]
		traces  = [otelcol.exporter.otlphttp.grafana_cloud.input]
	}
}

otelcol.processor.probabilistic_sampler "default" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.processor.probabilistic_sampler/
	// Examples: keep 10% of traces
	sampling_percentage = 10

	output {
		traces = [otelcol.processor.batch.default.input]
	}
}

otelcol.connector.host_info "default" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.connector.host_info/
	host_identifiers = ["host.name"]

	output {
		metrics = [otelcol.processor.batch.default.input]
	}
}

otelcol.exporter.otlphttp "grafana_cloud" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.exporter.otlphttp/
	client {
		endpoint = env("GRAFANA_CLOUD_OTLP_ENDPOINT")
		auth     = otelcol.auth.basic.grafana_cloud.handler
	}
}

otelcol.auth.basic "grafana_cloud" {
	// https://grafana.com/docs/alloy/latest/reference/components/otelcol.auth.basic/
	username = env("GRAFANA_CLOUD_INSTANCE_ID")
	password = env("GRAFANA_CLOUD_API_KEY")
}

yaml
# Tested with OpenTelemetry Collector Contrib v0.94.0
receivers:
  otlp:
    # https://github.com/open-telemetry/opentelemetry-collector/tree/main/receiver/otlpreceiver
    protocols:
      grpc:
      http:
  hostmetrics:
    # Optional. Host Metrics Receiver added as an example of Infra Monitoring capabilities of the OpenTelemetry Collector
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/receiver/hostmetricsreceiver
    scrapers:
      load:
      memory:

processors:
  batch:
    # https://github.com/open-telemetry/opentelemetry-collector/tree/main/processor/batchprocessor
  resourcedetection:
    # Enriches telemetry data with resource information from the host
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/resourcedetectionprocessor
    detectors: ["env", "system"]
    override: false
  transform/add_resource_attributes_as_metric_attributes:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/transformprocessor
    error_mode: ignore
    metric_statements:
      - context: datapoint
        statements:
          - set(attributes["deployment.environment"], resource.attributes["deployment.environment"])
          - set(attributes["service.version"], resource.attributes["service.version"])
  filter/drop_unneeded_span_metrics:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/filterprocessor
    error_mode: ignore
    metrics:
      datapoint:
        - 'IsMatch(metric.name, "traces.spanmetrics.calls|traces.spanmetrics.duration") and IsMatch(attributes["span.kind"], "SPAN_KIND_INTERNAL")'
  transform/drop_unneeded_resource_attributes:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/transformprocessor
    error_mode: ignore
    trace_statements:
      - context: resource
        statements:
          - delete_key(attributes, "k8s.pod.start_time")
          - delete_key(attributes, "os.description")
          - delete_key(attributes, "os.type")
          - delete_key(attributes, "process.command_args")
          - delete_key(attributes, "process.executable.path")
          - delete_key(attributes, "process.pid")
          - delete_key(attributes, "process.runtime.description")
          - delete_key(attributes, "process.runtime.name")
          - delete_key(attributes, "process.runtime.version")
    metric_statements:
      - context: resource
        statements:
          - delete_key(attributes, "k8s.pod.start_time")
          - delete_key(attributes, "os.description")
          - delete_key(attributes, "os.type")
          - delete_key(attributes, "process.command_args")
          - delete_key(attributes, "process.executable.path")
          - delete_key(attributes, "process.pid")
          - delete_key(attributes, "process.runtime.description")
          - delete_key(attributes, "process.runtime.name")
          - delete_key(attributes, "process.runtime.version")
    log_statements:
      - context: resource
        statements:
          - delete_key(attributes, "k8s.pod.start_time")
          - delete_key(attributes, "os.description")
          - delete_key(attributes, "os.type")
          - delete_key(attributes, "process.command_args")
          - delete_key(attributes, "process.executable.path")
          - delete_key(attributes, "process.pid")
          - delete_key(attributes, "process.runtime.description")
          - delete_key(attributes, "process.runtime.name")
          - delete_key(attributes, "process.runtime.version")
  transform/use_grafana_metric_names:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/transformprocessor
    error_mode: ignore
    metric_statements:
      - context: metric
        statements:
          - set(name, "traces.spanmetrics.latency") where name == "traces.spanmetrics.duration"
          - set(name, "traces.spanmetrics.calls.total") where name == "traces.spanmetrics.calls"
  probabilistic_sampler:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/probabilisticsamplerprocessor
    # Examples: keep 10% of traces
    sampling_percentage: 10

connectors:
  servicegraph:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/connector/servicegraphconnector
    dimensions:
      - service.namespace
      - service.version
      - deployment.environment
      - k8s.cluster.name
      - k8s.namespace.name
      - cloud.region
      - cloud.availability_zone

  spanmetrics:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/connector/spanmetricsconnector
    namespace: traces.spanmetrics
    histogram:
      unit: s
    dimensions:
      - name: service.namespace
      - name: service.version
      - name: deployment.environment
      - name: k8s.cluster.name
      - name: k8s.namespace.name
      - name: cloud.region
      - name: cloud.availability_zone

  grafanacloud:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/connector/grafanacloudconnector
    host_identifiers: ["host.name"]

exporters:
  otlphttp/grafana_cloud:
    # https://github.com/open-telemetry/opentelemetry-collector/tree/main/exporter/otlphttpexporter
    endpoint: "${env:GRAFANA_CLOUD_OTLP_ENDPOINT}"
    auth:
      authenticator: basicauth/grafana_cloud

extensions:
  basicauth/grafana_cloud:
    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/extension/basicauthextension
    client_auth:
      username: "${env:GRAFANA_CLOUD_INSTANCE_ID}"
      password: "${env:GRAFANA_CLOUD_API_KEY}"

service:
  extensions:
    [
      basicauth/grafana_cloud,
    ]
  pipelines:
    traces:
      receivers: [otlp]
      processors:
        [resourcedetection, transform/drop_unneeded_resource_attributes]
      exporters: [servicegraph, spanmetrics, grafanacloud]
    traces/grafana_cloud_traces:
      receivers: [otlp]
      processors:
        [
          resourcedetection,
          transform/drop_unneeded_resource_attributes,
          probabilistic_sampler,
          batch
        ]
      exporters: [otlp/grafana_cloud]
    metrics:
      receivers: [otlp, hostmetrics]
      processors:
        [
          resourcedetection,
          transform/drop_unneeded_resource_attributes,
          transform/add_resource_attributes_as_metric_attributes,
          batch,
        ]
      exporters: [otlp/grafana_cloud]
    metrics/grafanacloud:
      receivers: [grafanacloud]
      processors: [batch]
      exporters: [otlphttp/grafana_cloud]
    metrics/spanmetrics:
      receivers: [spanmetrics]
      processors:
        [
          filter/drop_unneeded_span_metrics,
          transform/use_grafana_metric_names,
          batch,
        ]
      exporters: [otlp/grafana_cloud]
    metrics/servicegraph:
      receivers: [servicegraph]
      processors: [batch]
      exporters: [otlp/grafana_cloud]
    logs:
      receivers: [otlp]
      processors: [resourcedetection, transform/drop_unneeded_resource_attributes, batch]
      exporters: [otlp/grafana_cloud]

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