"format": "time_series",
          "hide": false,
          "instant": false,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "{{server}}",
          "metric": "process_start_time_seconds",
          "refId": "A",
          "step": 60
        }
      ],
      "title": "Open FDs ",
      "type": "timeseries"
    },
    {
      "datasource": {

          },
          "editorMode": "code",
          "exemplar": false,
          "expr": "max(minio_node_drive_online_total{job=~\"$scrape_jobs\",server=\"$server\"})",
          "format": "time_series",
          "hide": false,
          "instant": true,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": ".",
          "metric": "process_start_time_seconds",

          },
          "editorMode": "code",
          "exemplar": true,
          "expr": "sum by (bucket,range) (minio_bucket_objects_size_distribution{job=~\"$scrape_jobs\"})",
          "format": "time_series",
          "instant": false,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "{{bucket,range}}",
          "refId": "A",
          "step": 300
        }
      ],

          "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": {

        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)