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).

		}
		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
		}

   * instead.
   *
   * <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.
   *
   * <p><b>Note:</b> this method is now unnecessary and should be treated as deprecated. Instead,

| `minio_node_io_write_bytes`                | Total bytes written by the process to the underlying storage system, /proc/[pid]/io write_bytes.                |
| `minio_node_process_cpu_total_seconds`     | Total user and system CPU time spent in seconds by the process.                                                |
| `minio_node_process_resident_memory_bytes` | Resident memory size in bytes.                                                                                  |

| `minio_system_process_cpu_total_seconds`           | Total user and system CPU time spent in seconds. <br><br>Type: counter                                                                | `server` |

You just eat them, and you are done. ⏹

<img src="/img/async/parallel-burgers/parallel-burgers-06.png" class="illustration">

There was not much talk or flirting as most of the time was spent waiting 🕙 in front of the counter. 😞

/// info

Beautiful illustrations by <a href="https://www.instagram.com/ketrinadrawsalot" class="external-link" target="_blank">Ketrina Thompson</a>. 🎨

///

---

	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.

- Added `apiserver.latency.k8s.io/authentication` annotation to the audit log to record the
  time spent authenticating slow requests. Also added `apiserver.latency.k8s.io/authorization`
  annotation to record the time spent authorizing slow requests. ([#130571](https://github.com/kubernetes/kubernetes/pull/130571), [@hakuna-matatah](https://github.com/hakuna-matatah))

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,
	}

- Added apiserver.latency.k8s.io/apf-queue-wait annotation to the audit log
  to record the time spent waiting in APF queue. ([#123919](https://github.com/kubernetes/kubernetes/pull/123919), [@hakuna-matatah](https://github.com/hakuna-matatah))