accountId: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }}
          command: pages deploy ./site --project-name=${{ env.PROJECT_NAME }} --branch=${{ env.BRANCH }}
      - name: Comment Deploy
        run: python ./scripts/deploy_docs_status.py
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          DEPLOY_URL: ${{ steps.deploy.outputs.deployment-url }}
          COMMIT_SHA: ${{ github.event.workflow_run.head_sha }}

     * @throws ArtifactDeployerException if the deployment failed
     */
    void deploy(@Nonnull ArtifactDeployerRequest request);

    /**
     * @param session the repository session
     * @param repository the repository to deploy to
     * @param artifacts the collection of artifacts to deploy
     * @throws ArtifactDeployerException if the deployment failed

        String extension = artifact.getArtifactHandler().getExtension();
        File source = new File(basedir, finalName + "." + extension);
        deploy(source, artifact, deploymentRepository, localRepository);
    }

    @Override
    public void deploy(
            File source, Artifact artifact, ArtifactRepository deploymentRepository, ArtifactRepository localRepository)
            throws ArtifactDeploymentException {

link: https://blog.balthazar-rouberol.com/how-to-profile-a-fastapi-asynchronous-request title: How to profile a FastAPI asynchronous request - author: Stephen Siegert - Neon link: https://neon.tech/blog/deploy-a-serverless-fastapi-app-with-neon-postgres-and-aws-app-runner-at-any-scale title: Deploy a Serverless FastAPI App with Neon Postgres and AWS App Runner at any scale - author: Kurtis Pykes - NVIDIA link: https://developer.nvidia.com/blog/building-a-machine-learning-microservice-with-fastapi/...

    /**
     * Deploy an artifact from a particular file.
     *
     * @param source the file to deploy
     * @param artifact the artifact definition
     * @param deploymentRepository the repository to deploy to
     * @param localRepository the local repository to install into
     * @throws ArtifactDeploymentException if an error occurred deploying the artifact
     */
    void deploy(

## MinIO Deployment on Kubernetes

There are multiple options to deploy MinIO on Kubernetes:

- MinIO-Operator: Operator offers seamless way to create and update highly available distributed MinIO clusters. Refer [MinIO Operator documentation](https://github.com/minio/minio-operator/blob/master/README.md) for more details.

# Deploy FastAPI on Cloud Providers { #deploy-fastapi-on-cloud-providers }

You can use virtually **any cloud provider** to deploy your FastAPI application.

In most of the cases, the main cloud providers have guides to deploy FastAPI with them.

## Cloud Providers - Sponsors { #cloud-providers-sponsors }

# Deployment { #deployment }

Deploying a **FastAPI** application is relatively easy.

## What Does Deployment Mean { #what-does-deployment-mean }

To **deploy** an application means to perform the necessary steps to make it **available to the users**.

### GNU/Linux and macOS

```sh
docker-compose pull
docker-compose up
```

or

```sh
docker stack deploy --compose-file docker-compose.yaml minio
```

### Windows

```sh
docker-compose.exe pull
docker-compose.exe up
```

or

```sh
docker stack deploy --compose-file docker-compose.yaml minio
```

    /**
     * Deploy metadata to the remote repository.
     *
     * @param metadata             the metadata to deploy
     * @param localRepository      the local repository to install to first
     * @param deploymentRepository the remote repository to deploy to
     * @throws RepositoryMetadataDeploymentException in case of metadata deployment issue
     */