## Run Standalone MinIO on Docker

*Note*: Standalone MinIO is intended for early development and evaluation. For production clusters, deploy a [Distributed](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-as-a-container.html) MinIO deployment.

For urgent issues (e.g. production down, etc.), subscribe to [SUBNET](https://min.io/pricing?jmp=github) for direct to engineering support.
 
<!--- Provide a general summary of the issue in the Title above -->

## Expected Behavior

Para producción usarías `fastapi run` en su lugar. 🚀

Internamente, **FastAPI CLI** usa <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a>, un servidor ASGI de alto rendimiento y listo para producción. 😎

## `fastapi dev`

Ejecutar `fastapi dev` inicia el modo de desarrollo.

	if _, maxLimit, err = sys.GetMaxOpenFileLimit(); err != nil {
		return err
	}

	if maxLimit < 4096 && runtime.GOOS != globalWindowsOSName {
		logger.Info("WARNING: maximum file descriptor limit %d is too low for production servers. At least 4096 is recommended. Fix with \"ulimit -n 4096\"",
			maxLimit)
	}

	if err = sys.SetMaxOpenFileLimit(maxLimit, maxLimit); err != nil {
		return err
	}

/// note

Vous pouvez également l'installer pièce par pièce.

C'est ce que vous feriez probablement une fois que vous voudrez déployer votre application en production :

```
pip install fastapi
```

Installez également `uvicorn` pour qu'il fonctionne comme serveur :

```
pip install uvicorn
```

Upgrade Checklist - Test all upgrades in a lower environment (DEV, QA, UAT) before applying to production. Performing blind upgrades in production environments carries significant risk. - Read the release notes for MinIO *before* performing any upgrade, there is no forced requirement to upgrade to latest release upon every release. Some release may not be relevant to your setup, avoid upgrading production environments unnecessarily. - If you plan to use `mc admin update`, MinIO process must have write...

        assertEquals(3, execJob.jvmOptions.size());
        assertEquals("-XX:+UseG1GC", execJob.jvmOptions.get(2));
    }

    // Test lastaEnv setter
    public void test_lastaEnv() {
        String testEnv = "production";
        ExecJob result = execJob.lastaEnv(testEnv);
        assertEquals(testEnv, execJob.lastaEnv);
        assertSame(execJob, result);
    }

    // Test addSystemProperty method

      <span style="background-color:#007166"><font color="#D3D7CF"> tip </font></span>  Running in development mode, for production use:
             <b>fastapi run</b>

             Logs:

     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Will watch for changes in these directories:

        direction.directLoggingTitle(fessConfig.getDomainTitle(), fessConfig.getEnvironmentTitle());

        // this configuration is on sea_env.properties because it has no influence to production
        // even if you set true manually and forget to set false back
        direction.directFrameworkDebug(fessConfig.isFrameworkDebug()); // basically false

TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source project, and it has become widely used for machine learning research. In this paper, we describe the TensorFlow dataflow model and demonstrate the compelling performance that TensorFlow achieves for several...