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docs/es/docs/async.md
Muchos, muchos usuarios, pero el servidor está esperando 🕙 el envío de las peticiones ya que su conexión no es buena. Y luego esperando 🕙 nuevamente a que las respuestas retornen. Esta "espera" 🕙 se mide en microsegundos, pero aun así, sumando todo, al final es mucha espera. Es por eso que tiene mucho sentido usar código asíncrono ⏸🔀⏯ para las API web.
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docs/es/docs/python-types.md
!!! info "Información" Para aprender más sobre <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic mira su documentación</a>. **FastAPI** está todo basado en Pydantic. Vas a ver mucho más de esto en práctica en el [Tutorial - User Guide](tutorial/index.md){.internal-link target=_blank}. ## Type hints en **FastAPI** **FastAPI** aprovecha estos type hints para hacer varias cosas.
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docs/es/docs/index.md
* Muchas características extra (gracias a Starlette) como: * **WebSockets** * **GraphQL** * pruebas extremadamente fáciles con HTTPX y `pytest` * **CORS** * **Cookie Sessions** * ...y mucho más. ## Rendimiento
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docs/es/docs/features.md
Esto también significa que en muchos casos puedes pasar el mismo objeto que obtuviste de un request **directamente a la base de datos**, dado que todo es validado automáticamente. Lo mismo aplica para el sentido contrario. En muchos casos puedes pasar el objeto que obtienes de la base de datos **directamente al cliente**.
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architecture/ambient/ztunnel.md
* Ensure traffic between mesh workloads is securely encrypted with an Istio identity. * Be lightweight enough to not limit adoption. * This puts a much tighter budget on CPU, memory, latency, and throughput requirements than traditional Istio sidecars. Ztunnel was not designed to be a feature-rich data plane.
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okcurl/src/main/kotlin/okhttp3/curl/logging/OneLineLogFormat.kt
import java.util.logging.Formatter import java.util.logging.LogRecord /** * Is Java8 Data and Time really this bad, or is writing this on a plane from just javadocs a bad * idea? * * Why so much construction? */ class OneLineLogFormat : Formatter() { private val d = DateTimeFormatterBuilder() .appendValue(HOUR_OF_DAY, 2) .appendLiteral(':') .appendValue(MINUTE_OF_HOUR, 2)
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docs/en/docs/benchmarks.md
* **FastAPI**: (uses Starlette) an API microframework with several additional features for building APIs, with data validation, etc. * **Uvicorn**: * Will have the best performance, as it doesn't have much extra code apart from the server itself.
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docs/en/docs/deployment/concepts.md
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. How much of the system resources do you want to be consuming/utilizing? It might be easy to think "not much", but in reality, you will probably want to consume **as much as possible without crashing**.
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okhttp/src/main/kotlin/okhttp3/ConnectionPool.kt
*/ @JvmField val minimumConcurrentCalls: Int = 0, /** How long to wait to retry pre-emptive connection attempts that fail. */ @JvmField val backoffDelayMillis: Long = 60 * 1000, /** How much jitter to introduce in connection retry backoff delays */ @JvmField val backoffJitterMillis: Int = 100, )
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istioctl/pkg/cli/context.go
rc, err := kube.DefaultRestConfig(kubeconfig, configContext, func(config *rest.Config) { // We are running a one-off command locally, so we don't need to worry too much about rate limiting // Bumping this up greatly decreases install time config.QPS = 50 config.Burst = 100 }) if err != nil { return nil, err }
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