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...

In particular access to the security-critical production components (root CA, policy, control)
should be locked down and restricted.  The new installer allows multiple instances of
policy/control/telemetry - so testing/staging of new settings and versions can be performed
by a different role than the prod version.

The intended users of this repo are users running Istio in production who want to select, tune

        }
    }
}

/**
 * Tasks that are called by the (currently separate) promotion build running on CI.
 */
tasks.register("promotionBuild") {
    description = "Build production distros, smoke test them and publish"
    group = "publishing"
    dependsOn(":packageBuild", ":publishBuildLogic", "publish")

/// note

Bạn cũng có thể cài đặt nó từng phần.

Đây là những gì bạn có thể sẽ làm một lần duy nhất bạn muốn triển khai ứng dụng của bạn lên production:

```
pip install fastapi
```

Cũng cài đặt `uvicorn` để làm việc như một server:

```
pip install "uvicorn[standard]"
```

Và tương tự với từng phụ thuộc tùy chọn mà bạn muốn sử dụng.

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...

 <span style="background-color:#C4A000"><font color="#2E3436">│                                                     │</font></span>
 <span style="background-color:#C4A000"><font color="#2E3436">│  Running in development mode, for production use:   │</font></span>
 <span style="background-color:#C4A000"><font color="#2E3436">│                                                     │</font></span>

[**sandbox**](https://developers.google.com/code-sandboxing). Memory corruptions
in TensorFlow ops can be recognized as security issues only if they are
reachable and exploitable through production-grade, benign models.

### Compilation

Compiling models via the recommended entry points described in
[XLA](https://www.tensorflow.org/xla) and
[JAX](https://jax.readthedocs.io/en/latest/jax-101/02-jitting.html)

But you can also provide other alternative `servers`, for example if you want *the same* docs UI to interact with both a staging and a production environment.

If you pass a custom list of `servers` and there's a `root_path` (because your API lives behind a proxy), **FastAPI** will insert a "server" with this `root_path` at the beginning of the list.

For example:

        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

 L'option `--reload` consomme beaucoup plus de ressources, est plus instable, etc.

 Cela aide beaucoup pendant le **développement**, mais vous **ne devriez pas** l'utiliser en **production**.

///

## Hypercorn avec Trio

Starlette et **FastAPI** sont basés sur
<a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>, qui les rend