if hm.CPU.CPUCount > 0 {
					perc := math.Round(ls.Load1*100*100/float64(hm.CPU.CPUCount)) / 100
					updateResourceMetrics(cpuSubsystem, cpuLoad1Perc, perc, labels, false)
					perc = math.Round(ls.Load5*100*100/float64(hm.CPU.CPUCount)) / 100
					updateResourceMetrics(cpuSubsystem, cpuLoad5Perc, perc, labels, false)
					perc = math.Round(ls.Load15*100*100/float64(hm.CPU.CPUCount)) / 100

		Downloads:     totalBytesRead,
		UploadTimes:   uploadTimes,
		DownloadTimes: downloadTimes,
		DownloadTTFB:  downloadTTFB,
		Error:         retError,
	}, nil
}

// To collect RX stats during "mc support perf net"
// RXSample holds the RX bytes for the duration between
// the last peer to connect and the first peer to disconnect.
// This is to improve the RX throughput accuracy.
type netPerfRX struct {

	// at any given point in time. This allows different buckets to be scanned
	// in different order per erasure set, this wider spread is needed when
	// there are lots of buckets with different order of objects in them.
	r := rand.New(rand.NewSource(time.Now().UnixNano()))
	permutes := r.Perm(len(buckets))
	// Add new buckets first
	for _, idx := range permutes {
		b := buckets[idx]

   * <pre>{@code
   * for (List<String> perm : orderedPermutations(asList("b", "c", "a"))) {
   *   println(perm);
   * }
   * // -> ["a", "b", "c"]
   * // -> ["a", "c", "b"]
   * // -> ["b", "a", "c"]
   * // -> ["b", "c", "a"]
   * // -> ["c", "a", "b"]
   * // -> ["c", "b", "a"]
   *
   * for (List<Integer> perm : orderedPermutations(asList(1, 2, 2, 1))) {
   *   println(perm);
   * }
   * // -> [1, 1, 2, 2]

	globalNetPerfMinDuration     = time.Second * 10
	globalNetPerfRX              netPerfRX
	globalSiteNetPerfRX          netPerfRX
	globalObjectPerfBucket       = "minio-perf-test-tmp-bucket"
	globalObjectPerfUserMetadata = "X-Amz-Meta-Minio-Object-Perf" // Clients can set this to bypass S3 API service freeze. Used by object pref tests.

	// MinIO version unix timestamp
	globalVersionUnix uint64

	// MinIO client

	argPatterns := make([]ellipses.ArgPattern, len(args))
	for i, arg := range args {
		patterns, perr := ellipses.FindEllipsesPatterns(arg)
		if perr != nil {
			return endpointSet{}, config.ErrInvalidErasureEndpoints(nil).Msg(perr.Error())
		}
		argPatterns[i] = patterns
	}

	ep.setIndexes, err = getSetIndexes(args, getTotalSizes(argPatterns), setDriveCount, argPatterns)

		var req *http.Request
		var perr error
		if testCase.ignoreContentLength {
			req, perr = newPostRequestV4("", bucketName, testCase.objectName, testCase.data, testCase.accessKey, testCase.secretKey)
		} else {
			req, perr = newPostRequestV4WithContentLength("", bucketName, testCase.objectName, testCase.data, testCase.accessKey, testCase.secretKey)
		}
		if perr != nil {

Pero entonces, aunque aún no tienes tus hamburguesas 🍔, el trabajo hecho con el cajero 💁 está "en pausa" ⏸, porque debes esperar 🕙 a que tus hamburguesas estén listas.

message HorizontalPodAutoscalerBehavior {
  // scaleUp is scaling policy for scaling Up.
  // If not set, the default value is the higher of:
  //   * increase no more than 4 pods per 60 seconds
  //   * double the number of pods per 60 seconds
  // No stabilization is used.
  // +optional
  optional HPAScalingRules scaleUp = 1;

  // scaleDown is scaling policy for scaling Down.

message HorizontalPodAutoscalerBehavior {
  // scaleUp is scaling policy for scaling Up.
  // If not set, the default value is the higher of:
  //   * increase no more than 4 pods per 60 seconds
  //   * double the number of pods per 60 seconds
  // No stabilization is used.
  // +optional
  optional HPAScalingRules scaleUp = 1;

  // scaleDown is scaling policy for scaling Down.