.put(com.google.common.base.Optional.class, com.google.common.base.Optional.absent())
          .put(Predicate.class, Predicates.alwaysTrue())
          .put(Equivalence.class, Equivalence.equals())
          .put(Ticker.class, Ticker.systemTicker())
          .put(Stopwatch.class, Stopwatch.createUnstarted())
          // io types
          .put(InputStream.class, new ByteArrayInputStream(new byte[0]))

	@rm -fr $(TMP)/common-files
	@$(or $(COMMONFILES_POSTPROCESS), true)

check-clean-repo:
	@common/scripts/check_clean_repo.sh

tidy-docker:
	@docker image prune --all --force --filter="label=io.istio.repo=https://github.com/istio/tools" --filter="label!=io.istio.version=$(IMAGE_VERSION)"

* 起動時の実行
* 再起動
* レプリケーション（実行中のプロセス数）
* メモリー
* 開始前の事前のステップ


## コンテナとDocker
<!-- NOTE: the current version of docker.md is outdated compared to English one.  -->
次章の[コンテナ内のFastAPI - Docker](docker.md){.internal-link target=_blank}では、その他の**デプロイのコンセプト**を扱うために実施するであろう戦略をいくつか紹介します。

また、**GunicornとUvicornワーカー**を含む**公式Dockerイメージ**と、簡単なケースに役立ついくつかのデフォルト設定も紹介します。

}

var (
	healthCheckInterval = 1 * time.Minute
	healthCheckTimeout  = 5 * time.Second
)

func (o *AuthNPlugin) doPeriodicHealthCheck() {
	ticker := time.NewTicker(healthCheckInterval)
	defer ticker.Stop()

	for {
		select {
		case <-ticker.C:
			now := time.Now()
			isConnected := o.checkConnectivity(o.shutdownCtx)
			if isConnected {
				o.serviceMetrics.setConnSuccess(now)
			} else {

	keepConnLive := func(w http.ResponseWriter, r *http.Request, respCh chan healResp) {
		ticker := time.NewTicker(time.Second * 10)
		defer ticker.Stop()
		started := false
	forLoop:
		for {
			select {
			case <-r.Context().Done():
				return
			case <-ticker.C:
				if !started {
					// Start writing response to client
					started = true
					setCommonHeaders(w)

# 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