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);
    }

    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(

# Deployment (Yayınlama)

**FastAPI** uygulamasını deploy etmek oldukça kolaydır.

## Deployment Ne Anlama Gelir?

Bir uygulamayı **deploy** etmek (yayınlamak), uygulamayı **kullanıcılara erişilebilir hale getirmek** için gerekli adımları gerçekleştirmek anlamına gelir.

# Deployment

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

## What Does Deployment Mean

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

For a **web API**, it normally involves putting it in a **remote machine**, with a **server program** that provides good performance, stability, etc, so that your **users** can **access** the application efficiently and without interruptions or problems.

        this.consumerPomArtifactTransformer = requireNonNull(consumerPomArtifactTransformer);
    }

    @Override
    public DeployResult deploy(RepositorySystemSession session, DeployRequest request) throws DeploymentException {
        return deployer.deploy(session, consumerPomArtifactTransformer.remapDeployArtifacts(session, request));
    }

- [Deploy a Tenant from the MinIO Operator](https://min.io/docs/minio/kubernetes/upstream/operations/install-deploy-manage/deploy-minio-tenant.html)

Install Distributed MinIO on Linux:
- [Deploy Distributed MinIO on Linux](https://min.io/docs/minio/linux/operations/install-deploy-manage/deploy-minio-multi-node-multi-drive.html#deploy-distributed-minio)

### 2. Run distributed MinIO

### 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
```