* **Running on startup**
* ***Restarts***
* Replication (the number of processes running)
* **Memory**
* **Previous steps before starting**

## Containers and Docker { #containers-and-docker }

In the next chapter about [FastAPI in Containers - Docker](docker.md){.internal-link target=_blank} I'll explain some strategies you could use to handle the other **deployment concepts**.

        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

```console
$ gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:80

[19499] [INFO] Starting gunicorn 20.1.0
[19499] [INFO] Listening at: http://0.0.0.0:80 (19499)
[19499] [INFO] Using worker: uvicorn.workers.UvicornWorker
[19511] [INFO] Booting worker with pid: 19511
[19513] [INFO] Booting worker with pid: 19513
[19514] [INFO] Booting worker with pid: 19514
[19515] [INFO] Booting worker with pid: 19515

#   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.
#

/// tip | Заметка

Если вы не знаете, что такое **контейнеры**, Docker или Kubernetes, не переживайте.

Я поведаю Вам о контейнерах, образах, Docker, Kubernetes и т.п. в главе: [FastAPI внутри контейнеров - Docker](docker.md){.internal-link target=_blank}.

///

## Шаги, предшествующие запуску

Para más detalles, consulta la [Guía de Instalación](https://fess.codelibs.org/14.17/install/index.html).

### Docker

Proporcionamos imágenes de Docker en [ghcr.io](https://github.com/orgs/codelibs/packages). También proporcionamos un archivo Docker Compose (YAML) en [este repositorio](https://github.com/codelibs/docker-fess/tree/master/compose).

### Interfaz de Usuario en el Navegador

- Interfaz de búsqueda: http://localhost:8080/

    $ cd fess-14.17.x
    $ ./bin/fess

자세한 내용은 [설치 가이드](https://fess.codelibs.org/14.17/install/index.html)를 참조하십시오.

### Docker

우리는 [ghcr.io](https://github.com/orgs/codelibs/packages)에서 Docker 이미지를 제공합니다. 또한 [이 리포지토리](https://github.com/codelibs/docker-fess/tree/master/compose)에 Docker Compose (YAML) 파일도 제공합니다.

### 브라우저 UI

- 검색 UI: http://localhost:8080/

* 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。

# Bucket Versioning Design 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/)

## Description of `xl.meta`

`xl.meta` is a new self describing backend format used by MinIO to support AWS S3 compatible versioning.
This file is the source of truth for each `version` at rest. `xl.meta` is a msgpack file serialized from a

  go mod tidy
  cd ..
fi

# SqlServer for Mac M1
if [[ -z $GITHUB_ACTION && -d tests ]]; then
  cd tests
  if [[ $(uname -a) == *" arm64" ]]; then
    MSSQL_IMAGE=mcr.microsoft.com/azure-sql-edge docker compose up -d --wait
    go install github.com/microsoft/go-sqlcmd/cmd/sqlcmd@latest || true
    for query in \
      "IF DB_ID('gorm') IS NULL CREATE DATABASE gorm" \