var (
	driveUsedBytesMD = NewGaugeMD(driveUsedBytes,
		"Total storage used on a drive in bytes", allDriveLabels...)
	driveFreeBytesMD = NewGaugeMD(driveFreeBytes,
		"Total storage free on a drive in bytes", allDriveLabels...)
	driveTotalBytesMD = NewGaugeMD(driveTotalBytes,
		"Total storage available on a drive in bytes", allDriveLabels...)
	driveUsedInodesMD = NewGaugeMD(driveUsedInodes,
		"Total used inodes on a drive", allDriveLabels...)

public class StopwatchBenchmark {
  @Benchmark
  long stopwatch(int reps) {
    long total = 0;
    for (int i = 0; i < reps; i++) {
      Stopwatch s = Stopwatch.createStarted();
      // here is where you would do something
      total += s.elapsed(NANOSECONDS);
    }
    return total;
  }

  @Benchmark
  long manual(int reps) {
    long total = 0;
    for (int i = 0; i < reps; i++) {
      long start = System.nanoTime();

        print("transferProgressed", buffer.toString());
    }

    private String getStatus(long complete, long total) {
        if (total >= 1024) {
            return toKB(complete) + "/" + toKB(total) + " KB ";
        } else if (total >= 0) {
            return complete + "/" + total + " B ";
        } else if (complete >= 1024) {
            return toKB(complete) + " KB ";
        } else {

        <version>5.1.8</version>
        <executions>
          <execution>
            <id>bundle-manifest</id>
            <phase>process-classes</phase>
            <goals>
              <goal>manifest</goal>
            </goals>
          </execution>
        </executions>
        <configuration>
          <instructions>
            <Export-Package>
              !com.google.common.base.internal,

example with 1024 drives - 4, 8, 16 are GCD factors. With 16 drives we get a total of 64 possible sets, with 8 drives we get a total of 128 possible sets, with 4 drives we get a total of 256 possible sets. So algorithm automatically chooses 64 sets, which is *16* 64 = 1024* drives in total.

- *If total number of nodes are of odd number then GCD algorithm provides affinity towards odd number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of drives...

		},
		andSet: true,
	}

	tests := []struct {
		filter   Filter
		userTags string
		want     bool
	}{
		{
			filter:   noTags,
			userTags: "",
			want:     true,
		},
		{
			filter:   noTags,
			userTags: "A=3",
			want:     true,
		},
		{
			filter:   oneTag,
			userTags: "A=3",
			want:     false,
		},
		{
			filter:   oneTag,

	usageTotalBytesMD = NewGaugeMD(usageTotalBytes,
		"Total cluster usage in bytes")
	usageObjectsCountMD = NewGaugeMD(usageObjectsCount,
		"Total cluster objects count")
	usageVersionsCountMD = NewGaugeMD(usageVersionsCount,
		"Total cluster object versions (including delete markers) count")
	usageDeleteMarkersCountMD = NewGaugeMD(usageDeleteMarkersCount,
		"Total cluster delete markers count")

	processCPUTotalSecondsMD          = NewCounterMD(processCPUTotalSeconds, "Total user and system CPU time spent in seconds")
	processGoRoutineTotalMD           = NewGaugeMD(processGoRoutineTotal, "Total number of go routines running")
	processIORCharBytesMD             = NewCounterMD(processIORCharBytes, "Total bytes read by the process from the underlying storage system including cache, /proc/[pid]/io rchar")

      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'),
      panels.timeSeries.statRps('5xxs', queries.globalRequest5xx, 'Total 5xx requests in in the cluster'),
    ]),

)

var (
	auditFailedMessagesMD = NewCounterMD(auditFailedMessages,
		"Total number of messages that failed to send since start",
		targetID)
	auditTargetQueueLengthMD = NewGaugeMD(auditTargetQueueLength,
		"Number of unsent messages in queue for target",
		targetID)
	auditTotalMessagesMD = NewCounterMD(auditTotalMessages,
		"Total number of messages sent since start",
		targetID)
)