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This extension provides you with deep insights into your self-managed [OpenShift](https://www.openshift.com/) control plane. It provides an out-of-the-box [dashboard](#screenshots) and pre-configured [alerts](#alerts). To give you a brief impression of what you get with this extension, have a look at the [screenshots](#screenshots) below. Of course, you can also build your own [dashboards](https://www.dynatrace.com/support/help/shortlink/custom-dashboards) and [metric events for alerting](https://www.dynatrace.com/support/help/shortlink/metric-events-for-alerting) based on the metrics coming with this extension.
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## <a name="screenshots"></a>Screenshots
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Dashboard |
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:-------------------------:|
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<img src="docs/screenshots/kubernetes_control_plane_dashboard.png" alt="screenshot dashboard 1" width="100%"/> |
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|Dashboard |
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|:-------------------------:|
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|<img src="docs/screenshots/kubernetes_control_plane_dashboard.png" alt="screenshot dashboard 1" width="100%"/> |
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## <a name="permissions"></a> Prerequisites and supported versions
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Follow the steps to install the OpenShift control plane extension.
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### 1. Enable Prometheus monitoring in Dynatrace
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In your Dynatrace environment, go to **Settings** > **Cloud and virtualization** > **Kubernetes** and turn on **Enable monitoring** and **Monitor Prometheus exporters**. For more information see our [official documentation](https://www.dynatrace.com/support/help/shortlink/monitor-prometheus-metrics).
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In your Dynatrace environment, go to **Kubernetes**, edit your Kubernetes cluster settings, and turn on **Enable monitoring** and **Monitor annotated Prometheus exporters**. For more information see our [official documentation](https://www.dynatrace.com/support/help/shortlink/monitor-prometheus-metrics).
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### <a name="ingestmetrics"></a> 2. Start ingesting control plane metrics
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To ingest metrics exposed by the OpenShift control plane, the related services need to be annotated with specific Dynatrace annotations. Based on the used OpenShift version, use the corresponding instructions below. Before executing any of the instructions below, ensure your kubectl is configured to use the Kubernetes cluster you want to monitor.

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