panels.timeSeries.connections('Connections', queries.connections, 'Connections opened and closed per instance'),
      panels.timeSeries.bytesRate('Bytes Transmitted', queries.bytes, 'Bytes sent and received per instance'),
      panels.timeSeries.dns('DNS Request', queries.dns, 'DNS queries received per instance'),
    ]),
    row.new('Operations')
    + row.withPanels([
      panels.timeSeries.base(

    + row.withPanels([
      panels.timeSeries.statRps('Traffic Volume', queries.globalRequest, 'Total requests in the cluster'),
      panels.timeSeries.statPercent('Success Rate', queries.globalRequestSuccessRate, 'Total success rate of requests in the cluster'),
      panels.timeSeries.statRps('4xxs', queries.globalRequest4xx, 'Total 4xx requests in in the cluster'),

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Active Workers",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {
          "color": {

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Received Data",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {
          "color": {

               "expr": "sum by (tag) (istio_build{component=\"pilot\"})",
               "legendFormat": "Version ({{tag}})"
            }
         ],
         "title": "Pilot Versions",
         "type": "timeseries"
      },
      {
         "collapsed": false,
         "gridPos": {
            "h": 1,
            "w": 24,
            "x": 0,
            "y": 1
         },
         "id": 3,

               "intervalFactor": 2,
               "legendFormat": "{{cluster}} - {{namespace}}\n"
            }
         ],
         "title": "CPU Usage",
         "type": "timeseries"
      },
      {
         "datasource": {
            "type": "datasource",
            "uid": "-- Mixed --"
         },
         "fieldConfig": {
            "defaults": {
               "custom": {

               "expr": "sum by (component,tag) (istio_build)",
               "legendFormat": "{{component}} ({{tag}})"
            }
         ],
         "title": "Istio Component Versions",
         "type": "timeseries"
      }
   ],
   "refresh": "15s",
   "schemaVersion": 39,
   "templating": {
      "list": [
         {
            "name": "datasource",
            "query": "prometheus",

        is a `tf.data.Dataset`-based replacement of the legacy
        `TimeseriesGenerator`. It takes you from an array of timeseries data to
        a dataset of shifting windows with their targets.
*   Added
    [`experimental_steps_per_execution`](https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/Model?hl=en#compile)