/// tip

I'll give you more concrete examples for doing this with containers in a future chapter: [FastAPI in Containers - Docker](docker.md){.internal-link target=_blank}.

///

## Resource Utilization { #resource-utilization }

Your server(s) is (are) a **resource**, you can consume or **utilize**, with your programs, the computation time on the CPUs, and the RAM memory available.

				if v.N > 0 {
					di.Metrics.LastMinute[k] = v.asTimedAction()
				}
			}
			maps.Copy(di.Metrics.APICalls, info.Metrics.APICalls)
			if info.Total > 0 {
				di.Utilization = float64(info.Used / info.Total * 100)
			}
			disksInfo[index] = di
			return nil
		}, index)
	}

	g.Wait()
	return disksInfo
}

// Get an aggregated storage info across all disks.

                            + "healthChecks=%d, failed=%d, removed=%d, endpoints=%d, "
                            + "healthCheckEnabled=%s, proactiveEnabled=%s, utilization=%.2f%%, successRate=%.2f%%]",
                    activeConnections, nonPooledConnections, trackedConnections, maxPoolSize, totalHealthChecks, failedHealthChecks,

new APIs so we can get out of alpha.

 *  New: Support Java 21's virtual threads (‘OpenJDK Project Loom’). We changed OkHttp's internals
    to use `Lock` and `Condition` instead of `synchronized` for best resource utilization.

 *  New: Switch our Internationalized Domain Name (IDN) implementation to [UTS #46 Nontransitional
    Processing][uts46]. With this fix, the `ß` code point no longer maps to `ss`. OkHttp now embeds

	// in the 10 node shard would coordinate between other 9 shards to get the
	// rest of the `99*9` requests.
	//
	// This essentially splits the workload properly and also allows for network
	// utilization to be optimal, instead of blindly throttling the way we are
	// doing below. However the changes that are needed here are a bit involved,
	// further discussion advised. Remove this comment and remove the worker model

10. RESPONSIBILITY FOR CLAIMS.

    As between Initial Developer and the Contributors, each party is
    responsible for claims and damages arising, directly or indirectly,
    out of its utilization of rights under this License and You agree to
    work with Initial Developer and Contributors to distribute such
    responsibility on an equitable basis. Nothing herein is intended or

Si tienes una API que hace una cantidad comparable de cálculos cada vez y tienes muchos clientes, entonces la **utilización de CPU** probablemente *también sea estable* (en lugar de constantemente subir y bajar rápidamente).

### Ejemplos de Herramientas y Estrategias de Replicación

///

**FastAPI** est basé entièrement sur **Pydantic**.

Vous verrez bien plus d'exemples de son utilisation dans [Tutoriel - Guide utilisateur](tutorial/index.md){.internal-link target=_blank}.

## Les annotations de type dans **FastAPI**

**FastAPI** utilise ces annotations pour faire différentes choses.

Cette combinaison de Flask, Flask-apispec avec Marshmallow et Webargs était ma stack backend préférée jusqu'à la création de **FastAPI**.

Son utilisation a conduit à la création de plusieurs générateurs Flask full-stack. Ce sont les principales stacks que
j'ai (ainsi que plusieurs équipes externes) utilisées jusqu'à présent :