Deploy MinIO on Kubernetes [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)  [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/)

MinIO is a high performance distributed object storage server, designed for large-scale private cloud infrastructure. MinIO is designed in a cloud-native manner to scale sustainably in multi-tenant environments. Orchestration platforms like Kubernetes provide perfect cloud-native...

E esse é o mesmo nível de performance que você tem com o **FastAPI**.

WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF

# Déployer avec Docker

Dans cette section, vous verrez des instructions et des liens vers des guides pour savoir comment :

* Faire de votre application **FastAPI** une image/conteneur Docker avec une performance maximale. En environ **5 min**.
* (Optionnellement) comprendre ce que vous, en tant que développeur, devez savoir sur HTTPS.
* Configurer un cluster en mode Docker Swarm avec HTTPS automatique, même sur un simple serveur à 5 dollars US/mois. En environ **20 min**.

TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for
internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.

build --distinct_host_configuration=false

# Store performance profiling log in the mounted artifact directory.
# The profile can be viewed by visiting chrome://tracing in a Chrome browser.
# See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling
build --profile=/tf/pkg/profile.json.gz

# Use the rebuilt gcc toolchain to compile for manylinux2014

        teamcity["teamcity.build.tempDir"] = ""
    }
}

fun Project.isPerformanceProject() = setOf("build-scan-performance", "performance").contains(name)

/**
 * Whether the project supports running with predictive test selection.
 *
 * Our performance tests don't work with PTS, yet.
 * Smoke and soak tests are hard to grasp for PTS, that is why we run them without.

    RedirectResponse,
    Response,
    StreamingResponse,
    UJSONResponse,
)
```

## FastAPI Responses

There are a couple of custom FastAPI response classes, you can use them to optimize JSON performance.

::: fastapi.responses.UJSONResponse
    options:
        members:
            - charset
            - status_code
            - media_type
            - body
            - background

If you open a GitHub Issue, here is our policy:

1.  It must be a bug/performance issue or a feature request or a build issue or
    a documentation issue (for small doc fixes please send a PR instead).
1.  Make sure the Issue Template is filled out.
1.  The issue should be related to the repo it is created in.

**Here's why we have this policy:** We want to focus on the work that benefits
the whole community, e.g., fixing bugs and adding features. Individual support

| [OpenJSSE]       |         | ✅           | [OpenJDK]       | OpenJDK backport.                                            |
| [Corretto]       | ✅      | ✅           | [OpenSSL]       | Amazon's high-performance provider. [Tracking bug.][bug5592] |

All providers support HTTP/1.1 and TLSv1.2.


[BoringSSL]: https://boringssl.googlesource.com/boringssl/
[Bouncy Castle]: https://www.bouncycastle.org/java.html