error rate, and request latency at p50, p90, and p99 percentiles. The
query results are printed to the console, organized by workload name.

All metrics returned are from server-side reports. This means that latencies
and error rates are from the perspective of the service itself and not of an
individual client (or aggregate set of clients). Rates and latencies are
calculated over a time interval of 1 minute.

          },
          "exemplar": true,
          "expr": "sum by (bucket) (rate(minio_bucket_traffic_sent_bytes{job=\"$scrape_jobs\"}[$__rate_interval]))",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "Data Sent [{{bucket}}]",
          "refId": "A"
        }
      ],
      "title": "Total Data Sent Rate",
      "type": "timeseries"
    },
    {
      "datasource": {

          },
          "exemplar": true,
          "expr": "sum by (server) (rate(minio_s3_traffic_received_bytes{job=~\"$scrape_jobs\"}[$__rate_interval]))",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "Data Received [{{server}}]",
          "refId": "A"
        }
      ],
      "title": "S3 API Ingress Rate ",
      "type": "timeseries"
    },
    {
      "datasource": {

                "uid": "${datasource}"
              },
              "expr": "sum(rate(pilot_total_xds_rejects{app=\"istiod\"}[1m]))",
              "format": "time_series",
              "hide": false,
              "intervalFactor": 1,
              "legendFormat": "Config Rejection Rate",
              "refId": "E"
            },
            {
              "datasource": {

            "uid": "${datasource}"
          },
          "expr": "sum(rate(istio_requests_total{reporter=\"source\", response_code!~\"5.*\"}[1m])) / sum(rate(istio_requests_total{reporter=\"source\"}[1m]))",
          "format": "time_series",
          "intervalFactor": 1,
          "refId": "A",
          "step": 4
        }
      ],
      "title": "Global Success Rate (non-5xx responses)",
      "type": "stat"
    },
    {

| `minio_cluster_replication_current_transfer_rate`          | Current replication transfer rate in bytes/sec                                                           |
| `minio_cluster_replication_average_transfer_rate`          | Average replication transfer rate in bytes/sec                                                           |

          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "expr": "(sum(irate(container_cpu_usage_seconds_total{namespace!=\"istio-system\",container=\"istio-proxy\"}[1m]))/ (round(sum(irate(istio_requests_total[1m])), 0.001)/1000))/ (sum(irate(istio_requests_total{source_workload=\"istio-ingressgateway\"}[1m])) >bool 10)",
          "format": "time_series",
          "intervalFactor": 1,

		return
	default:
		list.eventsSkipped.Add(1)
		err := fmt.Errorf("concurrent target notifications exceeded %d, configured notification target is too slow to accept events for the incoming request rate", maxConcurrentAsyncSend)
		for id := range targetIDset {
			reqInfo := &logger.ReqInfo{}
			reqInfo.AppendTags("targetID", id.String())

          },
          "exemplar": true,
          "expr": "sum by (server) (minio_cluster_replication_average_transfer_rate{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Transfer Rate (bytes/s)",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",

	rc, err := kube.DefaultRestConfig(kubeconfig, configContext, func(config *rest.Config) {
		// We are running a one-off command locally, so we don't need to worry too much about rate limiting
		// Bumping this up greatly decreases install time
		config.QPS = 50
		config.Burst = 100
	})
	if err != nil {
		return nil, err
	}