Caution
Grafana Alloy is the new name for our distribution of the OTel collector. Grafana Agent has been deprecated and is in Long-Term Support (LTS) through October 31, 2025. Grafana Agent will reach an End-of-Life (EOL) on November 1, 2025. Read more about why we recommend migrating to Grafana Alloy.
This is documentation for the next version of Agent. For the latest stable release, go to the latest version.
otelcol.exporter.prometheus
otelcol.exporter.prometheus
accepts OTLP-formatted metrics from other
otelcol
components, converts metrics to Prometheus-formatted metrics,
and forwards the resulting metrics to prometheus
components.
NOTE:
otelcol.exporter.prometheus
is a custom component unrelated to theprometheus
exporter from OpenTelemetry Collector.Conversion of metrics are done according to the OpenTelemetry Metrics Data Model specification.
Multiple otelcol.exporter.prometheus
components can be specified by giving them
different labels.
Usage
otelcol.exporter.prometheus "LABEL" {
forward_to = [...]
}
Arguments
otelcol.exporter.prometheus
supports the following arguments:
Name | Type | Description | Default | Required |
---|---|---|---|---|
include_target_info | boolean | Whether to include target_info metrics. | true | no |
include_scope_info | boolean | Whether to include otel_scope_info metrics. | false | no |
include_scope_labels | boolean | Whether to include additional OTLP labels in all metrics. | true | no |
add_metric_suffixes | boolean | Whether to add type and unit suffixes to metrics names. | true | no |
gc_frequency | duration | How often to clean up stale metrics from memory. | "5m" | no |
forward_to | list(MetricsReceiver) | Where to forward converted Prometheus metrics. | yes | |
resource_to_telemetry_conversion | boolean | Whether to convert OTel resource attributes to Prometheus labels. | false | no |
By default, OpenTelemetry resources are converted into target_info
metrics.
OpenTelemetry instrumentation scopes are converted into otel_scope_info
metrics. Set the include_scope_info
and include_target_info
arguments to
false
, respectively, to disable the custom metrics.
When include_scope_labels
is true
the otel_scope_name
and
otel_scope_version
labels are added to every converted metric sample.
When include_target_info
is true, OpenTelemetry Collector resources are converted into target_info
metrics.
Note
OTLP metrics can have a lot of resource attributes. Settingresource_to_telemetry_conversion
totrue
would convert all of them to Prometheus labels, which may not be what you want. Instead of usingresource_to_telemetry_conversion
, most users need to useotelcol.processor.transform
to convert OTLP resource attributes to OTLP metric datapoint attributes before usingotelcol.exporter.prometheus
. See Creating Prometheus labels from OTLP resource attributes for an example.
Exported fields
The following fields are exported and can be referenced by other components:
Name | Type | Description |
---|---|---|
input | otelcol.Consumer | A value that other components can use to send telemetry data to. |
input
accepts otelcol.Consumer
data for metrics. Other telemetry signals are ignored.
Metrics sent to the input
are converted to Prometheus-compatible metrics and
are forwarded to the forward_to
argument.
The following are dropped during the conversion process:
- Metrics that use the delta aggregation temporality
Component health
otelcol.exporter.prometheus
is only reported as unhealthy if given an invalid
configuration.
Debug information
otelcol.exporter.prometheus
does not expose any component-specific debug
information.
Example
Basic usage
This example accepts metrics over OTLP and forwards it using
prometheus.remote_write
:
otelcol.receiver.otlp "default" {
grpc {}
output {
metrics = [otelcol.exporter.prometheus.default.input]
}
}
otelcol.exporter.prometheus "default" {
forward_to = [prometheus.remote_write.mimir.receiver]
}
prometheus.remote_write "mimir" {
endpoint {
url = "http://mimir:9009/api/v1/push"
}
}
Create Prometheus labels from OTLP resource attributes
This example uses otelcol.processor.transform
to add extra key1
and key2
OTLP metric datapoint attributes from the
key1
and key2
OTLP resource attributes.
otelcol.exporter.prometheus
then converts key1
and key2
to Prometheus labels along with any other OTLP metric datapoint attributes.
This avoids the need to set resource_to_telemetry_conversion
to true
,
which could have created too many unnecessary metric labels.
otelcol.receiver.otlp "default" {
grpc {}
output {
metrics = [otelcol.processor.transform.default.input]
}
}
otelcol.processor.transform "default" {
error_mode = "ignore"
metric_statements {
context = "datapoint"
statements = [
`set(attributes["key1"], resource.attributes["key1"])`,
`set(attributes["key2"], resource.attributes["key2"])`,
]
}
output {
metrics = [otelcol.exporter.prometheus.default.input]
}
}
otelcol.exporter.prometheus "default" {
forward_to = [prometheus.remote_write.mimir.receiver]
}
prometheus.remote_write "mimir" {
endpoint {
url = "http://mimir:9009/api/v1/push"
}
}
Compatible components
otelcol.exporter.prometheus
can accept arguments from the following components:
- Components that export Prometheus
MetricsReceiver
otelcol.exporter.prometheus
has exports that can be consumed by the following components:
- Components that consume OpenTelemetry
otelcol.Consumer
Note
Connecting some components may not be sensible or components may require further configuration to make the connection work correctly. Refer to the linked documentation for more details.