Refer to the dashboard [json file here](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/minio-dashboard.json).

![Grafana](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/grafana-minio.png)

You also define in some way at which **moments** your app will send those requests or events.

And **your users** define in some way (for example in a web dashboard somewhere) the **URL** where your app should send those requests.

Start (or) Restart Prometheus service by running

```sh
./prometheus --config.file=prometheus.yml
```

Here `prometheus.yml` is the name of configuration file. You can now see MinIO metrics in Prometheus dashboard. By default Prometheus dashboard is accessible at `http://localhost:9090`.

* **Vue**-Frontend:
    * Mit Vue CLI generiert.
    * Handhabung der **JWT-Authentifizierung**.
    * Login-View.
    * Nach der Anmeldung Hauptansicht des Dashboards.
    * Haupt-Dashboard mit Benutzererstellung und -bearbeitung.
    * Bearbeitung des eigenen Benutzers.
    * **Vuex**.
    * **Vue-Router**.
    * **Vuetify** für schöne Material-Designkomponenten.
    * **TypeScript**.

platforms/documentation/docs/src/docs/userguide/core-plugins/base_plugin.adoc                 @gradle/bt-devrel-education @gradle/bt-jvm
platforms/documentation/docs/src/docs/userguide/core-plugins/build_dashboard_plugin.adoc      @gradle/bt-devrel-education @gradle/bt-jvm
platforms/documentation/docs/src/docs/userguide/core-plugins/build_init_plugin.adoc           @gradle/bt-devrel-education @gradle/bt-jvm

    now allows you to instrument a TensorFlow program and dump debugging
    information to a directory on the file system. The directory can be read and
    visualized by a new interactive dashboard in TensorBoard 2.3 called
    [Debugger V2](https://www.tensorflow.org/tensorboard/debugger_v2), which
    reveals the details of the TensorFlow program including graph structures,