exit 1
fi

# Kill MinIO and LDAP to start afresh with missing groups/DN
pkill minio
docker rm -f $(docker ps -aq)
rm -rf /tmp/ldap{1..4}

# Deploy the LDAP config witg missing groups/DN
echo "Copying docs/distributed/samples/bootstrap-partial.ldif => minio-iam-testing/ldap/50-bootstrap.ldif"

# FastAPI em contêineres - Docker

Ao fazer o deploy de aplicações FastAPI uma abordagem comum é construir uma **imagem de contêiner Linux**. Isso normalmente é feito usando o <a href="https://www.docker.com/" class="external-link" target="_blank">**Docker**</a>. Você pode a partir disso fazer o deploy dessa imagem de algumas maneiras.

Usando contêineres Linux você tem diversas vantagens incluindo **segurança**, **replicabilidade**, **simplicidade**, entre outras.

4af243ccccbadaf12545¡vÎeçnÐÎÓ° , €nullÅ%u&vÎ e ( [ ðK Ô X· Øü *š ÂWåion. Certain features such as versioning, object locking, and bucket replication require distributed deploying MinIO with Erasure Coding. For extended development and production, deploy MinIO with Erasure Coding enabled - specifically, with a *minimum* of 4 drives per MinIO server. See [MinIO Erasure Code Overview](https://min.io/docs/minio/linux/operations/concepts/erasure-coding.html#) for more complete documentation. ## Install...

In most cases you would (and should) have a "termination proxy" handling HTTPS for you on top, this will depend on how you deploy your application, your provider might do this for you, or you might need to set it up yourself.

/// tip

You can learn more about it in the [deployment documentation](deployment/index.md){.internal-link target=_blank}.

Em muitos casos você pode ter (e deveria ter) um "proxy de saída" tratando HTTPS no topo, isso dependerá de como você fará o deploy da sua aplicação, seu provedor pode fazer isso pra você ou talvez seja necessário fazer você mesmo.

/// tip

Você pode aprender mais sobre em [documentação de deployment](deployment/index.md){.internal-link target=_blank}.

///

## Deploy the Container Image

After having a Container (Docker) Image there are several ways to deploy it.

For example:

* With **Docker Compose** in a single server
* With a **Kubernetes** cluster
* With a Docker Swarm Mode cluster
* With another tool like Nomad
* With a cloud service that takes your container image and deploys it

## Docker Image with `uv`

                updateCheckManager.touch((RepositoryMetadata) metadata, remoteRepository, file);
            }
        }
        return file;
    }

    public void deploy(
            ArtifactMetadata metadata, ArtifactRepository localRepository, ArtifactRepository deploymentRepository)
            throws RepositoryMetadataDeploymentException {
        File file;

Chart](https://github.com/minio/operator/tree/master/helm) that is officially maintained and supported. MinIO strongly recommends using the MinIO Kubernetes Operator for production deployments. See [Deploy Operator With Helm](https://min.io/docs/minio/kubernetes/upstream/operations/install-deploy-manage/deploy-operator-helm.html?ref=github) for additional documentation. | ## Introduction This chart bootstraps MinIO Cluster on [Kubernetes](http://kubernetes.io) using the [Helm](https://helm.sh) package...

Chart](https://github.com/minio/operator/tree/master/helm) that is officially maintained and supported. MinIO strongly recommends using the MinIO Kubernetes Operator for production deployments. See [Deploy Operator With Helm](https://min.io/docs/minio/kubernetes/upstream/operations/install-deploy-manage/deploy-operator-helm.html?ref=github) for additional documentation. | ## Introduction This chart bootstraps MinIO Cluster on [Kubernetes](http://kubernetes.io) using the [Helm](https://helm.sh) package...

[libraries](https://www.tensorflow.org/resources/libraries-extensions), and
[community](https://www.tensorflow.org/community) resources that lets
researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine