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5th chunk of `content/manuals/scout/explore/metrics-exporter.md`
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openmetrics (4.2.0)
-------------------
  Instance ID: openmetrics:scout-prometheus-exporter:6393910f4d92f7c2 [OK]
  Configuration Source: file:/etc/datadog-agent/conf.d/openmetrics.d/conf.yaml
  Total Runs: 1
  Metric Samples: Last Run: 236, Total: 236
  Events: Last Run: 0, Total: 0
  Service Checks: Last Run: 1, Total: 1
  Average Execution Time : 2.537s
  Last Execution Date : 2024-05-08 10:41:07 UTC (1715164867000)
  Last Successful Execution Date : 2024-05-08 10:41:07 UTC (1715164867000)
```

For a comprehensive list of options, take a look at this [example config file](https://github.com/DataDog/integrations-core/blob/master/openmetrics/datadog_checks/openmetrics/data/conf.yaml.example) for the generic OpenMetrics check.

### Visualizing your data

Once the agent is configured to grab Prometheus metrics, you can use them to build comprehensive Datadog graphs, dashboards, and alerts.

Go into your [Metric summary page](https://app.datadoghq.com/metric/summary?filter=scout_prometheus_exporter)
to see the metrics collected from this example. This configuration will collect
all exposed metrics starting with `scout_` under the namespace
`scout_metrics_exporter`.




The following screenshots show examples of a Datadog dashboard containing
graphs about vulnerability and policy compliance for a specific [stream](#stream).
Title: Visualizing Data in Datadog
Summary
After configuring the Datadog agent to collect Prometheus metrics, users can create graphs, dashboards, and alerts to visualize the data. The example focuses on metrics starting with `scout_` under the namespace `scout_metrics_exporter`. The provided screenshots showcase a Datadog dashboard displaying graphs related to vulnerability and policy compliance for a specific stream.