shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
      - name: Clean repository
        shell: bash

#   container and start fresh, run "docker rm -f tf". Removing the container
#   destroys some temporary bazel data and causes longer builds.
#
#   You will need the NVIDIA Container Toolkit for GPU testing:
#   https://github.com/NVIDIA/nvidia-container-toolkit
#
#   Note: if you interrupt a bazel command on docker (ctrl-c), you
#   will need to run `docker exec tf pkill bazel` to quit bazel.
#

    println("Proxy Server 1 is ${server1.socketAddress}")
    println("Proxy Server 2 is ${server2.socketAddress}")

    // Since myproxy:8008 won't resolve, redirect with DNS to proxyServer1
    // Then redirect socket connection to server1
    dns["myproxy"] = listOf(proxyServer1)
    socketFactory[proxyServer1] = server1.socketAddress

    client = client.newBuilder().proxySelector(proxySelector).build()

#!/usr/bin/env bash

echo "script failed" >resiliency-verify-failure.log # assume initial state

ALIAS_NAME=myminio
BUCKET="test-bucket"
DEST_DIR="/tmp/dest"

OUT=$(./mc cp --quiet --recursive "${ALIAS_NAME}"/"${BUCKET}"/initial-data/ "${DEST_DIR}"/)
RET=${?}
if [ ${RET} -ne 0 ]; then
	# It is a success scenario as get objects should fail
	echo "GET objects failed as expected"
	echo "script passed" >resiliency-verify-failure.log
	exit 0

  - 🤖 Un client frontend généré automatiquement.
  - 🧪 [Playwright](https://playwright.dev) pour les tests de bout en bout.
  - 🦇 Prise en charge du mode sombre.
- 🐋 [Docker Compose](https://www.docker.com) pour le développement et la production.
- 🔒 Hachage sécurisé des mots de passe par défaut.
- 🔑 Authentification JWT (JSON Web Token).
- 📫 Récupération de mot de passe par e-mail.

 */
package org.elasticsearch.gradle.internal.docker;

import org.gradle.api.Plugin;
import org.gradle.api.Project;
import org.gradle.api.Task;
import org.gradle.api.provider.Provider;

import java.io.File;
import java.util.List;
import java.util.stream.Collectors;

/**
 * Plugin providing {@link DockerSupportService} for detecting Docker installations and determining requirements for Docker-based
 * Elasticsearch build tasks.
 */

	}
	m.fileNotFound = m.fileNotFound || update.fileNotFound
}

// delete all cache data on disks.
func (m *metacache) delete(ctx context.Context) {
	if m.bucket == "" || m.id == "" {
		bugLogIf(ctx, fmt.Errorf("metacache.delete: bucket (%s) or id (%s) empty", m.bucket, m.id))
		return
	}
	objAPI := newObjectLayerFn()
	if objAPI == nil {
		internalLogIf(ctx, errors.New("metacache.delete: no object layer"))
		return
	}

* **セキュリティ - HTTPS**
* **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**
* **開始前の事前ステップ**

## コンテナとDocker { #containers-and-docker }

次章の[コンテナ内のFastAPI - Docker](docker.md)では、その他の**デプロイメントのコンセプト**を扱うために使える戦略をいくつか説明します。

単一のUvicornプロセスを実行するために、**ゼロから独自のイメージを構築する**方法も紹介します。これは簡単なプロセスで、**Kubernetes**のような分散コンテナ管理システムを使う場合に、おそらくやりたいことでしょう。

## まとめ { #recap }

 * limitations under the License.
 */
package okhttp3.internal.platform.android

import javax.net.ssl.SSLSocket
import okhttp3.Protocol

/**
 * Deferred implementation of SocketAdapter that works by observing the socket
 * and initializing on first use.
 *
 * We use this because eager classpath checks cause confusion and excessive logging in Android,

import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;