atomic.AddInt64(&lat, latency)
				})
				spent := time.Since(t)
				if spent > 0 && n > 0 {
					// Since we are benchmarking n parallel servers we need to multiply by n.
					// This will give an estimate of the total ops/s.
					latency := float64(atomic.LoadInt64(&lat)) / float64(time.Millisecond)
					b.ReportMetric(float64(n)*float64(ops)/spent.Seconds(), "vops/s")
					b.ReportMetric(latency/float64(ops), "ms/op")

Also, the best approach was to use already existing standards.

So, before even starting to code **FastAPI**, I spent several months studying the specs for OpenAPI, JSON Schema, OAuth2, etc. Understanding their relationship, overlap, and differences.

## Design { #design }

Then I spent some time designing the developer "API" I wanted to have as a user (as a developer using FastAPI).

* **Easier onboarding**: New contributors have clear guidance on which spelling to use
* **Better searchability**: Finding code and documentation becomes more predictable
* **Reduced review friction**: Less time spent on spelling corrections during PR reviews
* **Professional appearance**: Consistent APIs and documentation appear more polished
* **Clearer contribution guidelines**: [CONTRIBUTING.md](../../CONTRIBUTING.md) now includes this requirement

		}
		atomic.StoreInt64(&dt.timeout, timeout)
	} else if failPct < dynamicTimeoutDecreaseThresholdPct {
		// We are hitting the timeout relatively few times,
		// so decrease the timeout towards 25 % of maximum time spent.
		maxDur = maxDur * 125 / 100

		timeout := atomic.LoadInt64(&dt.timeout)
		if maxDur < time.Duration(timeout) {
			// Move 50% toward the max.
			timeout = (int64(maxDur) + timeout) / 2
		}

     *
     * <p><b>Performance note:</b> {@link ArrayList} and {@link java.util.ArrayDeque} consistently
     * outperform {@code LinkedList} except in certain rare and specific situations. Unless you have
     * spent a lot of time benchmarking your specific needs, use one of those instead. (However, we
     * do not currently offer a {@link Multimap} implementation based on {@link
     * java.util.ArrayDeque}.)
     */

* the data from the client to be sent through the network
* the data sent by your program to be received by the client through the network
* the contents of a file in the disk to be read by the system and given to your program

            .charAt(0);
    if (overWaitNanosFirstDigit < '4') {
      overWaitNanosFirstDigit = '9';
    }
    String nanosRegex = "[4-" + overWaitNanosFirstDigit + "][0-9]+";
    assertWithMessage("Spent %s ns blocked; slept for %s ms", thread.timeSpentBlocked, toWaitMillis)
        .that(thread.exception)
        .hasMessageThat()
        .matches(
            "Waited 2 seconds \\(plus "

            .charAt(0);
    if (overWaitNanosFirstDigit < '4') {
      overWaitNanosFirstDigit = '9';
    }
    String nanosRegex = "[4-" + overWaitNanosFirstDigit + "][0-9]+";
    assertWithMessage("Spent %s ns blocked; slept for %s ms", thread.timeSpentBlocked, toWaitMillis)
        .that(thread.exception)
        .hasMessageThat()
        .matches(
            "Waited 2 seconds \\(plus "

	internodeOutputBytes uint64
	s3InputBytes         uint64
	s3OutputBytes        uint64
}

// ServerHTTPAPIStats holds total number of HTTP operations from/to the server,
// including the average duration the call was spent.
type ServerHTTPAPIStats struct {
	APIStats map[string]int `json:"apiStats"`
}

// ServerHTTPStats holds all type of http operations performed to/from the server
// including their average execution time.

func getMinIOProcessCPUTime() MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: processSubsystem,
		Name:      cpu,
		Help:      "Total user and system CPU time spent in seconds",
		Type:      counterMetric,
	}
}

func getMinioProcMetrics() *MetricsGroupV2 {
	mg := &MetricsGroupV2{
		cacheInterval: 10 * time.Second,
	}