> even if you have Gradle or Develocity build caching enabled for the project.
> The Gradle Build Tool repository is massive, and it will take ages to build on
> a local machine without necessary parallelization and caching.
> The full test suites are executed on the CI instance for multiple configurations,
> and you can rely on it after doing initial sanity check and targeted local testing.

Aquí hay un poquito de esa historia.

## Alternativas { #alternatives }

He estado creando APIs con requisitos complejos durante varios años (Machine Learning, sistemas distribuidos, trabajos asíncronos, bases de datos NoSQL, etc.), liderando varios equipos de desarrolladores.

Como parte de eso, necesitaba investigar, probar y usar muchas alternativas.

Here's a little bit of that history.

## Alternatives { #alternatives }

I have been creating APIs with complex requirements for several years (Machine Learning, distributed systems, asynchronous jobs, NoSQL databases, etc), leading several teams of developers.

As part of that, I needed to investigate, test and use many alternatives.

import java.util.Optional;
import java.util.Set;
import java.util.concurrent.TimeUnit;
import java.util.function.Function;

/**
 * Benchmarks the overhead of constructing {@link Aggregator}s in many
 * parallel threads. Machines with different numbers of cores will see
 * wildly different results running this from running this with more
 * cores seeing more benefits from preallocation.
 */
@Fork(2)
@Warmup(iterations = 10)

 *
 * By orchestrating two different servers with the same port but different IP addresses, we can
 * test what OkHttp does when both are reachable, or if only one is reachable.
 *
 * This test only runs on host machines that have both IPv4 and IPv6 addresses for localhost.
 */
@Timeout(30)
class FastFallbackTest {
  @RegisterExtension
  val clientTestRule = OkHttpClientTestRule()

See our web documentation on [Deploying MinIO in Standalone Mode](Deploy Standalone MinIO in a Container) for a more structured tutorial on deploying MinIO in a container.

## Prerequisites

Docker installed on your machine. Download the relevant installer from [here](https://www.docker.com/community-edition#/download).

## Run Standalone MinIO on Docker

* [NGINX Unit](https://unit.nginx.org/howto/fastapi/): NGINX Unit ist eine leichte und vielseitige Laufzeitumgebung für Webanwendungen.

## Servermaschine und Serverprogramm { #server-machine-and-server-program }

Es gibt ein kleines Detail bei den Namen, das Sie beachten sollten. 💡

* [NGINX Unit](https://unit.nginx.org/howto/fastapi/): NGINX Unit es un runtime para aplicaciones web ligero y versátil.

## Máquina Servidor y Programa Servidor { #server-machine-and-server-program }

Hay un pequeño detalle sobre los nombres que hay que tener en cuenta. 💡

MinIO in distributed mode lets you pool multiple drives (even on different machines) into a single object storage server. As drives are distributed across several nodes, distributed MinIO can withstand multiple node failures and yet ensure full data protection.

## Why distributed MinIO?

* 예:
* 등

* `foo`로서의 `int`
* `bar`로서의 `str`
* `baz`로서의 `list`

* 튜토리얼 - 사용자 가이드
* 고급 사용자 가이드
* SQLModel 문서
* API 문서
* 자동 문서

* Data Science
* Deep Learning
* Machine Learning
* Dependency Injection
* HTTP Basic authentication
* HTTP Digest
* ISO format
* JSON Schema 표준
* JSON schema
* schema definition
* Password Flow
* Mobile

* deprecated