# Despliega FastAPI en Proveedores de Nube { #deploy-fastapi-on-cloud-providers }

Puedes usar prácticamente **cualquier proveedor de nube** para desplegar tu aplicación FastAPI.

En la mayoría de los casos, los principales proveedores de nube tienen guías para desplegar FastAPI con ellos.

## FastAPI Cloud { #fastapi-cloud }

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.
* Implement and use well-known cryptographic tools, like pwdlib and JWT tokens, etc.
* Add more granular permission controls with OAuth2 scopes where needed.
* ...etc.

name: cffconvert

on:
  push:
    paths:
      - CITATION.cff

permissions:
  contents: read

jobs:
  validate:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    name: "validate"
    runs-on: ubuntu-latest
    steps:
      - name: Check out a copy of the repository
        uses: actions/checkout@1af3b93b6815bc44a9784bd300feb67ff0d1eeb3 # v6.0.0

#	make v1.2.3.test
#
# and then if changes are needed, check them into master
# and run 'make v1.2.3.rm' and repeat.
#
# Note that once published a snapshot zip file should never
# be modified. We record the sha256 hashes of the zip files
# in fips140.sum, and the cmd/go/internal/fips140 test checks
# that the zips match.
#
# When the zip file is finalized, run 'make updatesum' to update
# fips140.sum.

default:

specific versions. This is necessary to ensure reproducibility of the build.
The pinned versions of the full transitive closure of TensorFlow's dependencies
together with their corresponding hashes are specified in
`requirements_lock_<python version>.txt` files (e.g.
`requirements_lock_3_12.txt` for `Python 3.12`).

To update the lock files, make sure

  private val writerQueue = taskRunner.newQueue()

  /** Ensures push promise callbacks events are sent in order per stream. */
  private val pushQueue = taskRunner.newQueue()

  /** Notifies the listener of settings changes. */
  private val settingsListenerQueue = taskRunner.newQueue()

  /** User code to run in response to push promise events. */
  private val pushObserver: PushObserver = builder.pushObserver

 * (i.e. cycles that will not actually result in deadlock), it simplifies the algorithm and
 * implementation considerably. The assumption is that a user of this factory wishes to eliminate
 * any cyclic acquisition ordering.
 *
 * <p><strong>Explicit Lock Acquisition Ordering</strong>
 *
 * <p>The {@link CycleDetectingLockFactory.WithExplicitOrdering} class can be used to enforce an

///

Como SQLModel se basa en SQLAlchemy, puedes usar fácilmente **cualquier base de datos soportada** por SQLAlchemy (lo que las hace también soportadas por SQLModel), como:

* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server, etc.

En este ejemplo, usaremos **SQLite**, porque utiliza un solo archivo y Python tiene soporte integrado. Así que puedes copiar este ejemplo y ejecutarlo tal cual.

 * way to check an object at runtime to be an instance of a {@link TypeToken}. Instead, caller
 * should use the type safe {@link #putInstance}.
 *
 * <p>Also, if caller suppresses unchecked warnings and passes in an {@code Iterable<String>} for
 * type {@code Iterable<Integer>}, the map won't be able to detect and throw type error.
 *
 * <p>Like any other {@code Map<Class, Object>}, this map may contain entries for primitive types,

 * way to check an object at runtime to be an instance of a {@link TypeToken}. Instead, caller
 * should use the type safe {@link #putInstance}.
 *
 * <p>Also, if caller suppresses unchecked warnings and passes in an {@code Iterable<String>} for
 * type {@code Iterable<Integer>}, the map won't be able to detect and throw type error.
 *
 * <p>Like any other {@code Map<Class, Object>}, this map may contain entries for primitive types,