Configure Grafana Agenttraces_config


The traces_config block configures a set of Tempo instances, each of which configures its own tracing pipeline. Having multiple configs allows you to configure multiple distinct pipelines, each of which collects spans and sends them to a different location.

Note that if using multiple configs, you must manually set port numbers for each receiver, otherwise they will all try to use the same port and fail to start.

 - [<traces_instance_config>]


# Name configures the name of this Tempo instance. Names must be non-empty and
# unique across all Tempo instances. The value of the name here will appear in
# logs and as a label on metrics.
name: <string>

# This field allows for the general manipulation of tags on spans that pass
# through this agent. A common use may be to add an environment or cluster
# variable.
[attributes: <attributes.config>]

# This field allows to configure grouping spans into batches. Batching helps
# better compress the data and reduce the number of outgoing connections
# required transmit the data.
[batch: <batch.config>]

  # host:port to send traces to
  # Here must be the port of gRPC receiver, not the Tempo default port.
  # Example for cloud instances:  ``
  # For local / on-premises instances: `localhost:55680` or ``
  # Note: for non-encrypted connections you must also set `insecure: true`
  - endpoint: <string>

    # Custom HTTP headers to be sent along with each remote write request.
    # Be aware that 'authorization' header will be overwritten in presence
    # of basic_auth.
      [ <string>: <string> ... ]

    # Controls whether compression is enabled.
    [ compression: <string> | default = "gzip" | supported = "none", "gzip"]

    # Controls what protocol to use when exporting traces.
    # Only "grpc" is supported in Grafana Cloud.
    [ protocol: <string> | default = "grpc" | supported = "grpc", "http" ]

    # Controls whether or not TLS is required.  See
    [ insecure: <boolean> | default = false ]

    # Deprecated in favor of tls_config
    # If both `insecure_skip_verify` and `tls_config.insecure_skip_verify` are used,
    # the latter take precedence.
    [ insecure_skip_verify: <bool> | default = false ]

    # Controls TLS settings of the exporter's client. See
    # This should be used only if `insecure` is set to false
      # Path to the CA cert. For a client this verifies the server certificate. If empty uses system root CA.
      [ca_file: <string>]
      # Path to the TLS cert to use for TLS required connections
      [cert_file: <string>]
      # Path to the TLS key to use for TLS required connections
      [key_file: <string>]
      # Disable validation of the server certificate.
      [ insecure_skip_verify: <bool> | default = false ]

    # Sets the `Authorization` header on every trace push with the
    # configured username and password.
    # password and password_file are mutually exclusive.
      [ username: <string> ]
      [ password: <secret> ]
      [ password_file: <string> ]

    [ sending_queue: <otlpexporter.sending_queue> ]
    [ retry_on_failure: <otlpexporter.retry_on_failure> ]

# This processor writes a well formatted log line to a logs instance for each span, root, or process
# that passes through the Agent. This allows for automatically building a mechanism for trace
# discovery and building metrics from traces using Loki. It should be considered experimental.
  # Indicates where the stream of log lines should go. Either supports writing
  # to a logs instance defined in this same config or to stdout.
  [ backend: <string> | default = "stdout" | supported "stdout", "logs_instance" ]
  # Indicates the logs instance to write logs to.
  # Required if backend is set to logs_instance.
  [ logs_instance_name: <string> ]
  # Log one line per span. Warning! possibly very high volume
  [ spans: <boolean> ]
  # Log one line for every root span of a trace.
  [ roots: <boolean> ]
  # Log one line for every process
  [ processes: <boolean> ]
  # Additional span attributes to log
  [ span_attributes: <string array> ]
  # Additional process attributes to log
  [ process_attributes: <string array> ]
  # Timeout on writing logs to Loki when backend is "logs_instance."
  [ timeout: <duration> | default = 1ms ]
  # Configures a set of key values that will be logged as labels
  # They need to be span or process attributes logged in the log line
  # This feature only applies when `backend = logs_instance`
  # Loki only accepts alphanumeric and "_" as valid characters for labels.
  # Labels are sanitized by replacing invalid characters with underscores.
  [ labels: <string array> ]
    [ logs_instance_tag: <string> | default = "traces" ]
    [ service_key: <string> | default = "svc" ]
    [ span_name_key: <string> | default = "span" ]
    [ status_key: <string> | default = "status" ]
    [ duration_key: <string> | default = "dur" ]
    [ trace_id_key: <string> | default = "tid" ]

# Receiver configurations are mapped directly into the OpenTelemetry receivers
# block. At least one receiver is required.
# Supported receivers: otlp, jaeger, kafka, opencensus and zipkin.
receivers: <receivers>

# A list of prometheus scrape configs.  Targets discovered through these scrape
# configs have their __address__ matched against the ip on incoming spans. If a
# match is found then relabeling rules are applied.
  - [<scrape_config>]
# Defines what method is used when adding k/v to spans.
# Options are `update`, `insert` and `upsert`.
# `update` only modifies an existing k/v and `insert` only appends if the k/v
# is not present. `upsert` does both.
[ prom_sd_operation_type: <string> | default = "upsert" ]

# spanmetrics supports aggregating Request, Error and Duration (R.E.D) metrics
# from span data.
# spanmetrics generates two metrics from spans and uses remote_write or
# OpenTelemetry Prometheus exporters to serve the metrics locally.
# In order to use the remote_write exporter, you have to configure a Prometheus
# instance in the Agent and pass its name to the `metrics_instance` field.
# If you want to use the OpenTelemetry Prometheus exporter, you have to
# configure handler_endpoint and then scrape that endpoint.
# The first generated metric is `calls`, a counter to compute requests.
# The second generated metric is `latency`, a histogram to compute the
# operation's duration.
# If you want to rename the generated metrics, you can configure the `namespace`
# option of prometheus exporter.
# This is an experimental feature of Opentelemetry-Collector and the behavior
# may change in the future.
  # latency_histogram_buckets and dimensions are the same as the configs in
  # spanmetricsprocessor.
  [ latency_histogram_buckets: <spanmetricsprocessor.latency_histogram_buckets> ]
  [ dimensions: <spanmetricsprocessor.dimensions> ]

  # const_labels are labels that will always get applied to the exported
  # metrics.
    [ <string>: <string>... ]

  # Metrics are namespaced to `traces_spanmetrics` by default.
  # They can be further namespaced, i.e. `{namespace}_traces_spanmetrics`
  [ namespace: <string> ]

  # metrics_instance is the metrics instance used to remote write metrics.
  [ metrics_instance: <string> ]
  # handler_endpoint defines the endpoint where the OTel prometheus exporter will be exposed.
  [ handler_endpoint: <string> ]

# tail_sampling supports tail-based sampling of traces in the agent.
# Policies can be defined that determine what traces are sampled and sent to the
# backends and what traces are dropped.
# In order to make a correct sampling decision it's important that the agent has
# a complete trace. This is achieved by waiting a given time for all the spans
# before evaluating the trace.
# Tail sampling also supports multiple agent deployments, allowing to group all
# spans of a trace in the same agent by load balancing the spans by trace ID
# between the instances.
# * To make use of this feature, check load_balancing below *
  # policies define the rules by which traces will be sampled. Multiple policies
  # can be added to the same pipeline.
    - [<tailsamplingprocessor.policies>]

  # Time that to wait before making a decision for a trace.
  # Longer wait times reduce the probability of sampling an incomplete trace at
  # the cost of higher memory usage.
  decision_wait: [ <duration> | default="5s" ]

# load_balancing configures load balancing of spans across multi agent deployments.
# It ensures that all spans of a trace are sampled in the same instance.
# It works by exporting spans based on their traceID via consistent hashing.
# Enabling this feature is required for tail_sampling to correctly work when
# different agent instances can receive spans for the same trace.
# Load balancing works by layering two pipelines and consistently exporting
# spans belonging to a trace to the same agent instance.
# Agent instances need to be able to communicate with each other via gRPC.
# Load balancing significantly increases CPU usage. This is because spans are
# exported an additional time between agents.
  # resolver configures the resolution strategy for the involved backends
  # It can be static, with a fixed list of hostnames, or DNS, with a hostname
  # (and port) that will resolve to all IP addresses.
        [ - <string> ... ]
      hostname: <string>
      [ port: <int> ]

  # Load balancing is done via an otlp exporter.
  # The remaining configuration is common with the remote_write block.
    # Controls whether compression is enabled.
    [ compression: <string> | default = "gzip" | supported = "none", "gzip"]

    # Controls whether or not TLS is required.
    [ insecure: <boolean> | default = false ]

    # Disable validation of the server certificate. Only used when insecure is set
    # to false.
    [ insecure_skip_verify: <bool> | default = false ]

    # Sets the `Authorization` header on every trace push with the
    # configured username and password.
    # password and password_file are mutually exclusive.
      [ username: <string> ]
      [ password: <secret> ]
      [ password_file: <string> ]

Note: More information on the following types can be found on the documentation for their respective projects: