Vous pouvez utiliser <a href="https://www.docker.com/" class="external-link" target="_blank">**Docker**</a> pour le déploiement. Il présente plusieurs avantages comme la sécurité, la réplicabilité, la simplicité de développement, etc.

Si vous utilisez Docker, vous pouvez utiliser l'image Docker officielle :

```sh
docker logs <container_id>
```

### Monitor MinIO Docker Container

To monitor the resources used by MinIO container, you can use the [`docker stats`](https://docs.docker.com/engine/reference/commandline/stats/) command.

```sh
docker stats <container_id>
```

## Explore Further

# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/linux_arm64"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-arm64"
TFCI_OUTPUT_DIR=build_output

        track: stable
    spec:
      containers:
      - image: fake.docker.io/google-samples/hello-go-gke:1.0
        name: hello
        ports:
        - containerPort: 80
          name: http
        resources: {}
      - image: docker.io/istio/proxy_debug:unittest
        name: istio-proxy
        resources: {}
      initContainers:
      - image: docker.io/istio/proxy_init:unittest-testiop
        name: istio-init

# Bucket Quota Configuration Quickstart Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io) [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/)

![quota](https://raw.githubusercontent.com/minio/minio/master/docs/bucket/quota/bucketquota.png)

Buckets can be configured to have `Hard` quota - it disallows writes to the bucket after configured quota limit is reached.

Pour plus de détails, consultez le [guide d'installation](https://fess.codelibs.org/14.6/install/index.html).

### Docker

Nous fournissions des images docker sur [ghcr.io](https://github.com/orgs/codelibs/packages).
Nous proposons aussi un fichier Docker Compose (YAML) dans [ce repository](https://github.com/codelibs/docker-fess/tree/master/compose).

### Interfaces Web

- Interface de recherche : http://localhost:8080/

# MinIO Server Throttling Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io) [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/)

MinIO server allows to throttle incoming requests:

- limit the number of active requests allowed across the cluster
- limit the wait duration for each request in the queue

COPY --from=build /go/bin/mc /usr/bin/mc
COPY --from=build /go/bin/cur* /usr/bin/

COPY CREDITS /licenses/CREDITS
COPY LICENSE /licenses/LICENSE
COPY dockerscripts/docker-entrypoint.sh /usr/bin/docker-entrypoint.sh

EXPOSE 9000
VOLUME ["/data"]

ENTRYPOINT ["/usr/bin/docker-entrypoint.sh"]

```

#### Builds the hotfix container and pushes to docker.io/minio/minio

```
λ CRED_DIR=/media/builder/minio make docker-hotfix-push
```

#### Builds the hotfix container and pushes to registry.min.dev/<customer>/minio

```
λ REPO="registry.min.dev/<customer>" CRED_DIR=/media/builder/minio make docker-hotfix-push
```

# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn8=8.9.6.50-1+cuda12.2
libcudnn8-dev=8.9.6.50-1+cuda12.2

# This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image.
# For now it ensures that we install at least version 12.3.107 of PTXAS,
# since 12.3.103 has a bug.