}

func TestResourceConfigForPodWithCustomCPUCFSQuotaPeriod(t *testing.T) {
	defaultQuotaPeriod := uint64(100 * time.Millisecond / time.Microsecond) // in microseconds
	tunedQuotaPeriod := uint64(5 * time.Millisecond / time.Microsecond)     // in microseconds
	tunedQuota := int64(1 * time.Millisecond / time.Microsecond)

	featuregatetesting.SetFeatureGateDuringTest(t, utilfeature.DefaultFeatureGate, pkgfeatures.CPUCFSQuotaPeriod, true)

	labels = append(labels, "api", "")
	lastIdx := len(labels) - 1
	for apiName, latency := range disk.Metrics.LastMinute {
		labels[lastIdx] = "storage." + apiName
		m.Set(driveAPILatencyMicros, float64(latency.Avg().Microseconds()),
			labels...)
	}
}

func (m *MetricValues) setDriveIOStatMetrics(ioStats driveIOStatMetrics, labels []string) {
	m.Set(driveReadsPerSec, ioStats.readsPerSec, labels...)

  private var nextQueueName = 10000
  private var coordinatorWaiting = false
  private var coordinatorWakeUpAt = 0L

  /**
   * When we need a new thread to run tasks, we call [Backend.execute]. A few microseconds later we
   * expect a newly-started thread to call [Runnable.run]. We shouldn't request new threads until
   * the already-requested ones are in service, otherwise we might create more threads than we need.
   *

		}
	}
	return w
}

// Nanoseconds returns the duration as an integer nanosecond count.
func (d Duration) Nanoseconds() int64 { return int64(d) }

// Microseconds returns the duration as an integer microsecond count.
func (d Duration) Microseconds() int64 { return int64(d) / 1e3 }

// Milliseconds returns the duration as an integer millisecond count.
func (d Duration) Milliseconds() int64 { return int64(d) / 1e6 }

			enforceCPULimits:  cm.EnforceCPULimits,
			// cpuCFSQuotaPeriod is in microseconds. NodeConfig.CPUCFSQuotaPeriod is time.Duration (measured in nano seconds).
			// Convert (cm.CPUCFSQuotaPeriod) [nanoseconds] / time.Microsecond (1000) to get cpuCFSQuotaPeriod in microseconds.
			cpuCFSQuotaPeriod: uint64(cm.CPUCFSQuotaPeriod / time.Microsecond),
		}
	}
	return &podContainerManagerNoop{
		cgroupRoot: cm.cgroupRoot,
	}
}

			// kubeGenericRuntimeManager.cpuCFSQuotaPeriod is provided in time.Duration,
			// but we need to convert it to number of microseconds which is used by kernel.
			cpuPeriod = int64(m.cpuCFSQuotaPeriod.Duration / time.Microsecond)
		}
		cpuQuota := milliCPUToQuota(cpuLimit.MilliValue(), cpuPeriod)
		resources.CpuQuota = cpuQuota
		resources.CpuPeriod = cpuPeriod
	}

Instead of that, by being an "asynchronous" system, once finished, the task can wait in line a little bit (some microseconds) for the computer / program to finish whatever it went to do, and then come back to take the results and continue working with them.

		}
		if redisProxy.StatPrefix != "redis" {
			t.Errorf("redis proxy statPrefix is %s", redisProxy.StatPrefix)
		}
		if !redisProxy.LatencyInMicros {
			t.Errorf("redis proxy latency stat is not configured for microseconds")
		}
		if redisProxy.PrefixRoutes.CatchAllRoute.Cluster != "redis-cluster" {
			t.Errorf("redis proxy's PrefixRoutes.CatchAllCluster is %s", redisProxy.PrefixRoutes.CatchAllRoute.Cluster)
		}
	} else {

    So, behind the scenes, it will actually work as if everything was the same single app.

!!! check
    You don't have to worry about performance when including routers.

    This will take microseconds and will only happen at startup.

    So it won't affect performance. ⚡

### Include an `APIRouter` with a custom `prefix`, `tags`, `responses`, and `dependencies`

	{"1.0040s", 1*Second + 4*Millisecond},
	{"100.00100s", 100*Second + 1*Millisecond},
	// different units
	{"10ns", 10 * Nanosecond},
	{"11us", 11 * Microsecond},
	{"12µs", 12 * Microsecond}, // U+00B5
	{"12μs", 12 * Microsecond}, // U+03BC
	{"13ms", 13 * Millisecond},
	{"14s", 14 * Second},
	{"15m", 15 * Minute},
	{"16h", 16 * Hour},
	// composite durations
	{"3h30m", 3*Hour + 30*Minute},