err = msgp.WrapError(err, "ReplicatedCount")
				return
			}
		case "Latency":
			var zb0002 uint32
			zb0002, err = dc.ReadMapHeader()
			if err != nil {
				err = msgp.WrapError(err, "Latency")
				return
			}
			for zb0002 > 0 {
				zb0002--
				field, err = dc.ReadMapKeyPtr()
				if err != nil {
					err = msgp.WrapError(err, "Latency")
					return
				}
				switch msgp.UnsafeString(field) {

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server,endpoint}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Link Latency (millis)",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

 * OkHttp performs best when you create a single `OkHttpClient` instance and reuse it for all of
 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client
 * for each request wastes resources on idle pools.
 *
 * Use `new OkHttpClient()` to create a shared instance with the default settings:
 *
 * ```java

	smallFileThreshold = 128 * humanize.KiByte // Optimized for NVMe/SSDs

	// For hardrives it is possible to set this to a lower value to avoid any
	// spike in latency. But currently we are simply keeping it optimal for SSDs.

	// bigFileThreshold is the point where we add readahead to put operations.
	bigFileThreshold = 128 * humanize.MiByte