Docs » Supported integrations in Splunk Observability Cloud » Configure application receivers with Prometheus metrics » Prometheus Exporter

Prometheus Exporter 🔗

The Splunk Distribution of the OpenTelemetry Collector uses the Smart Agent receiver with the prometheus-exporter monitor type to read all metric types from a Prometheus Exporter endpoint.

A Prometheus Exporter is a piece of software that fetches statistics from another, non-Prometheus system, and turns them into Prometheus metrics. For a description of the Prometheus metric types, see Metric Types.

This monitor is available on Kubernetes, Linux, and Windows.

Benefits 🔗

After you configure the integration, you can access these features:

Installation 🔗

Follow these steps to deploy this integration:

  1. Deploy the Splunk Distribution of the OpenTelemetry Collector to your host or container platform:

  2. Configure the integration, as described in the Configuration section.

  3. Restart the Splunk Distribution of the OpenTelemetry Collector.

Configuration 🔗

To use this integration of a Smart Agent monitor with the Collector:

  1. Include the Smart Agent receiver in your configuration file.

  2. Add the monitor type to the Collector configuration, both in the receiver and pipelines sections.

Example 🔗

To activate this integration, add the following to your Collector configuration:

receivers:
  smartagent/prometheus-exporter:
    type: prometheus-exporter
    discoveryRule: port >= 9100 && port <= 9500 && container_image =~ "exporter"
    extraDimensions:
       metric_source: prometheus
    ...  # Additional config

Next, add the monitor to the service.pipelines.metrics.receivers section of your configuration file:

service:
  pipelines:
    metrics:
      receivers: [smartagent/prometheus-exporter]

For specific use cases that show how the Splunk Distribution of OpenTelemetry Collector can integrate and complement existing environments, see configuration examples.

See the Prometheus Federation Endpoint Example in GitHub for an example of how the OTel Collector works with Splunk Enterprise and an existing Prometheus deployment.

Configuration options 🔗

The following table shows the configuration options for the prometheus-exporter monitor:

Option

Required

Type

Description

httpTimeout

no

int64
HTTP timeout duration for both read and writes. This should be a

duration string that is accepted by func ParseDuration

username

no

string

Basic Auth username to use on each request, if any.

password

no

string

Basic Auth password to use on each request, if any.

useHTTPS

no

bool
If true, the agent will connect to the server using HTTPS

instead of plain HTTP. (default: false)

httpHeaders

no

map of strings
A map of HTTP header names to values. Comma separated multiple

values for the same message-header is supported.

skipVerify

no

bool
If useHTTPS is true and this option is also true, the

exporter TLS cert will not be verified. (default: false)

caCertPath

no

string
Path to the CA cert that has signed the TLS cert, unnecessary if

skipVerify is set to false.

clientCertPath

no

string

Path to the client TLS cert to use for TLS required connections

clientKeyPath

no

string

Path to the client TLS key to use for TLS required connections

host

yes

string

Host of the exporter

port

yes

integer

Port of the exporter

useServiceAccount

no

bool
Use pod service account to authenticate. (default:

false)

metricPath

no

string
Path to the metrics endpoint on the exporter server, usually

/metrics (the default). (default: /metrics)

sendAllMetrics

no

bool
Send all the metrics that come out of the Prometheus exporter

without any filtering. This option has no effect when using the prometheus exporter monitor directly since there is no built-in filtering, only when embedding it in other monitors. (default: false)

Authentication 🔗

For basic HTTP authentication, use the username and password options.

On Kubernetes, if the monitored service requires authentication, use the useServiceAccount option to use the service account of the agent when connecting. Make sure that the Smart Agent service account has sufficient permissions for the monitored service.

Metrics 🔗

There are no metrics available for this integration.

Prometheus metric conversion details 🔗

This is how Prometheus metrics are converted:

  • Gauges are converted directly to Splunk Infrastructure Monitoring gauges.

  • Counters are converted directly to Infrastructure Monitoring cumulative counters.

  • Untyped metrics are converted directly to Infrastructure Monitoring gauges.

  • Summary metrics are converted to three distinct metrics, where <basename> is the root name of the metric:

    • The total count is converted to a cumulative counter called <basename>_count.

    • The total sum is converted to a cumulative counter called <basename>.

    • Each quantile value is converted to a gauge called <basename>_quantile and includes a dimension called quantile that specifies the quantile.

  • Histogram metrics are converted to three distinct metrics, where <basename> is the root name of the metric:

    • The total count is converted to a cumulative counter called <basename>_count.

    • The total sum is converted to a cumulative counter called <basename>.

    • Each histogram bucket is converted to a cumulative counter called <basename>_bucket and includes a dimension called upper_bound that specifies the maximum value in that bucket. This metric specifies the number of events with a value that is less than or equal to the upper bound.

All Prometheus labels are converted directly to Infrastructure Monitoring dimensions.

This supports service discovery so you can set a discovery rule such as port >= 9100 && port <= 9500 && containerImage =~ "exporter", assuming you are running exporters in container images that have the word “exporter” in them that fall within the standard exporter port range.

In Kubernetes, you can also try matching on the container port name as defined in the pod spec, which is the name variable in discovery rules for the k8s-api observer.

Filtering can be very useful here, because exporters tend to be verbose.

Troubleshooting 🔗

Log contains the error net/http: HTTP/1.x transport connection broken: malformed HTTP response 🔗

Solution: Activate HTTPS with useHTTPS.

Log contains the error forbidden: User \"system:anonymous\" cannot get path \"/metrics\" 🔗

Solution: Activate useServiceAccount and make sure the service account that the Splunk Distribution of OpenTelemetry Collector is running with has the necessary permissions.

Get help 🔗

If you are a Splunk Observability Cloud customer and are not able to see your data in Splunk Observability Cloud, you can get help in the following ways.

Available to Splunk Observability Cloud customers

Available to prospective customers and free trial users

  • Ask a question and get answers through community support at Splunk Answers .

  • Join the Splunk #observability user group Slack channel to communicate with customers, partners, and Splunk employees worldwide. To join, see Chat groups in the Get Started with Splunk Community manual.

This page was last updated on Dec 09, 2024.