# Set up Grafana for SiteWise Edge
<a name="windows-grafana"></a>

 Grafana® lets you create local real-time monitoring dashboards for your industrial data. By visualizing the data stored in InfluxDB®, you can provide operators with immediate insights into equipment performance, process efficiency, and potential issues. This visibility at the edge is important for time-sensitive operations and maintaining continuity during network disruptions.

## Configure the data source
<a name="windows-grafana-data-source-config"></a>

Connecting Grafana to your InfluxDB database creates a powerful visualization layer for your industrial data. This connection enables real-time monitoring dashboards that operators can use to make informed decisions without cloud dependencies.

1. Access your Grafana instance locally by navigating to [http://127.0.0.1:3000](http://127.0.0.1:3000) in your browser. If enabling TLS is required, you can refer to [Set up Grafana HTTPS for secure web traffic](https://grafana.com/docs/grafana/latest/setup-grafana/set-up-https/) in the *Grafana Labs Documentation*.

1. Add an InfluxDB data source pointing to the InfluxDB time series bucket where Node-RED writes data. For example, `WindFarmData`. This connection establishes the link between your stored data and the visualization platform.

1. For detailed instructions, see [Configure the InfluxDB data source](https://grafana.com/docs/grafana/latest/datasources/influxdb/configure-influxdb-data-source/) in the *Grafana Labs Documentation*.

### Create a Grafana dashboard for SiteWise Edge data
<a name="windows-grafana-create-dashboard"></a>

Creating a dashboard is the final step in building your local monitoring solution. Dashboards provide visual representations of your industrial data, making it easier to identify trends, anomalies, and potential issues at a glance.
+ Follow the guide to create a dashboard. For more information, see [Build your first dashboard](https://grafana.com/docs/grafana/latest/getting-started/build-first-dashboard/) in the *Grafana Labs Documentation*. This template assumes your bucket is named `WindFarmData` and measurement is `TurbineData`.

  You can also use the quick start guide by importing the provided example dashboard template to quickly create a dashboard with a time series plot for the data that Node-RED generates in previous section. This template provides a starting point that you can customize to meet your specific monitoring needs.

  ```
  {
    "__inputs": [
      {
        "name": "DS_WINDFARM-DEMO",
        "label": "windfarm-demo",
        "description": "",
        "type": "datasource",
        "pluginId": "influxdb",
        "pluginName": "InfluxDB"
      }
    ],
    "__elements": {},
    "__requires": [
      {
        "type": "grafana",
        "id": "grafana",
        "name": "Grafana",
        "version": "11.6.0-pre"
      },
      {
        "type": "datasource",
        "id": "influxdb",
        "name": "InfluxDB",
        "version": "1.0.0"
      },
      {
        "type": "panel",
        "id": "timeseries",
        "name": "Time series",
        "version": ""
      }
    ],
    "annotations": {
      "list": [
        {
          "builtIn": 1,
          "datasource": {
            "type": "grafana",
            "uid": "-- Grafana --"
          },
          "enable": true,
          "hide": true,
          "iconColor": "rgba(0, 211, 255, 1)",
          "name": "Annotations & Alerts",
          "type": "dashboard"
        }
      ]
    },
    "editable": true,
    "fiscalYearStartMonth": 0,
    "graphTooltip": 0,
    "id": null,
    "links": [],
    "panels": [
      {
        "datasource": {
          "type": "influxdb",
          "uid": "${DS_WINDFARM-DEMO}"
        },
        "fieldConfig": {
          "defaults": {
            "color": {
              "mode": "palette-classic"
            },
            "custom": {
              "axisBorderShow": false,
              "axisCenteredZero": false,
              "axisColorMode": "text",
              "axisLabel": "",
              "axisPlacement": "auto",
              "barAlignment": 0,
              "barWidthFactor": 0.6,
              "drawStyle": "line",
              "fillOpacity": 0,
              "gradientMode": "none",
              "hideFrom": {
                "legend": false,
                "tooltip": false,
                "viz": false
              },
              "insertNulls": false,
              "lineInterpolation": "linear",
              "lineWidth": 1,
              "pointSize": 5,
              "scaleDistribution": {
                "type": "linear"
              },
              "showPoints": "auto",
              "spanNulls": false,
              "stacking": {
                "group": "A",
                "mode": "none"
              },
              "thresholdsStyle": {
                "mode": "off"
              }
            },
            "mappings": [],
            "thresholds": {
              "mode": "absolute",
              "steps": [
                {
                  "color": "green"
                },
                {
                  "color": "red",
                  "value": 80
                }
              ]
            }
          },
          "overrides": []
        },
        "gridPos": {
          "h": 8,
          "w": 12,
          "x": 0,
          "y": 0
        },
        "id": 1,
        "options": {
          "legend": {
            "calcs": [],
            "displayMode": "list",
            "placement": "bottom",
            "showLegend": true
          },
          "tooltip": {
            "hideZeros": false,
            "mode": "single",
            "sort": "none"
          }
        },
        "pluginVersion": "11.6.0-pre",
        "targets": [
          {
            "datasource": {
              "type": "influxdb",
              "uid": "${DS_WINDFARM-DEMO}"
            },
            "query": "from(bucket: \"{{WindFarmData}}\")\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> filter(fn: (r) => r[\"_measurement\"] == \"{{TurbineData}}\")\n  |> filter(fn: (r) => r[\"_field\"] == \"value\")\n  |> filter(fn: (r) => r[\"name\"] == \"/Renton/WindFarm/Turbine/WindSpeed\")\n  |> filter(fn: (r) => r[\"quality\"] == \"GOOD\")\n  |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n  |> yield(name: \"mean\")",
            "refId": "A"
          }
        ],
        "title": "Panel Title",
        "type": "timeseries"
      }
    ],
    "schemaVersion": 41,
    "tags": [],
    "templating": {
      "list": []
    },
    "time": {
      "from": "now-6h",
      "to": "now"
    },
    "timepicker": {},
    "timezone": "browser",
    "title": "demo dashboard",
    "uid": "fejc0t08o6d4wb",
    "version": 1,
    "weekStart": ""
  }
  ```