# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.1.1.17-1
libcudnn9-cuda-12=9.1.1.17-1

# 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.

# MinIO Server Debugging 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/)

## HTTP Trace

HTTP tracing can be enabled by using [`mc admin trace`](https://github.com/minio/mc/blob/master/docs/minio-admin-complete-guide.md#command-trace---display-minio-server-http-trace) command.

Example:

```sh
minio server /data

/// tip

これらの**コンテナ**やDockerそしてKubernetesに関する項目が、まだあまり意味をなしていなくても心配しないでください。
<!-- NOTE: the current version of docker.md is outdated compared to English one. -->

コンテナ・イメージ、Docker、Kubernetesなどについては、次の章で詳しく説明します: [コンテナ内のFastAPI - Docker](docker.md){.internal-link target=_blank}.

///

## 開始前の事前のステップ

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

# Test Guide

```bash
cd tests
# prepare test databases
docker-compose up

# run all tests
./tests_all.sh

# Packages to be installed for the new Docker image.

# Packages needed to build devtoolset
file
flex
g++
make
patch
rpm2cpio
unar
wget
xz-utils
cpio

# Other build-related tools
apt-transport-https
autoconf
automake
build-essential
ca-certificates
llvm-18
clang-18
clang-tidy-18
lld-18
clang-format-12
curl
git
parallel
sudo
swig
unzip
zip
openjdk-21-jdk

0::/system.slice/docker-8445c3ca20fac1d8e74854d84a7e6a57297ffb22809098b2816b31a428f2b777.scope/kubelet.slice/kubelet-kubepods.slice/kubelet-kubepods-besteffort.slice/kubelet-kubepods-besteffort-pod863b91d4_4b68_4efa_917f_4b560e3e86aa.slice/cri-containerd-75c7fe7ad0df679971e755bd97b84dd68a32e1eba8e8f99b01ab3c07196a3e4a.scope...

							endpoints[i].Hostname()), endpoints[i].Hostname(), logger.ErrorKind)
					}

					continue
				}

				// return err if not Docker or Kubernetes
				// We use IsDocker() to check for Docker environment
				// We use IsKubernetes() to check for Kubernetes environment
				isLocal, err := isLocalHost(endpoints[i].Hostname(),
					endpoints[i].Port(),
					globalMinioPort,
				)

## Prerequisites

Configure and install casdoor server by following [Casdoor Server Installation](https://casdoor.org/docs/basic/server-installation).
For a quick installation, docker-compose reference configs are also available on the [Casdoor Try with Docker](https://casdoor.org/docs/basic/try-with-docker).

### Configure Casdoor

- Go to Applications
  - Create or use an existing Casdoor application
  - Edit the application

# ILM Tiering Design [![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/)

Lifecycle transition functionality provided in [bucket lifecycle guide](https://github.com/minio/minio/master/docs/bucket/lifecycle/README.md) allows tiering of content from MinIO object store to public clouds or other MinIO clusters.