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【Docker】公式チュートリアルをやってみた 【Part3】

Last updated at Posted at 2017-06-09

はじめに

環境

  • VirtualBox 5.1.22 r115126
    • ポートフォワーディング設定でアクセスできるようにしています
  • Ubuntu16.04.2 LTS
  • Docker version 17.03.1-ce, build c6d412e
    • Dockerのインストールについては公式手順に沿って実施しております

チュートリアル

Part 3: Services

docker-compose.ymlの作成

docker-compose.yml
version: "3"
services:
  web:
    # Part2で作成したdocker cloudのイメージを使用
    image: tocyuki/repository:tag
    deploy:
      # 5台作成する
      replicas: 5
      resources:
        limits:
          # 最大10%までのCPU利用
          cpus: "0.1"
          # 最大50MBまでのメモリ利用
          memory: 50M
      restart_policy:
        condition: on-failure
    ports:
      # ホストの80番ポートをコンテナの80番ポートへマッピング
      - "80:80"
    networks:
      - webnet
networks:
  webnet:

docker swarm initの実施

  • このコマンドを実行することで、実行したホストをdocker swarmのマネージャーホストとすることができる
tocyuki@vm01:~/docker_tutorial/part3$ docker swarm init
Swarm initialized: current node (mfb7mslrjr6qbkkzi42x9525p) is now a manager.

To add a worker to this swarm, run the following command:

    docker swarm join \
    --token SWMTKN-1-3562frmookuker51re8lelyaewh1c37g690yodforc13gxhby6-3gntbpftwe8br3h225i5ew7ul \
    10.0.2.15:2377

To add a manager to this swarm, run 'docker swarm join-token manager' and follow the instructions.

アプリの実行

  • getstartedlabという名前でアプリをswarmモードで実行
tocyuki@vm01:~/docker_tutorial/part3$ docker stack deploy -c docker-compose.yml getstartedlab
Creating network getstartedlab_webnet
Creating service getstartedlab_web

コンテナの起動を確認

コマンドラインでの確認

tocyuki@vm01:~/docker_tutorial/part3$ docker stack ps getstartedlab
ID            NAME                 IMAGE                   NODE  DESIRED STATE  CURRENT STATE          ERROR  PORTS
msazmhxdrs9z  getstartedlab_web.1  tocyuki/repository:tag  vm01  Running        Running 4 seconds ago
4bz3usxe0fpa  getstartedlab_web.2  tocyuki/repository:tag  vm01  Running        Running 4 seconds ago
js4j0zhxaydu  getstartedlab_web.3  tocyuki/repository:tag  vm01  Running        Running 5 seconds ago
5rdhkuc5xkns  getstartedlab_web.4  tocyuki/repository:tag  vm01  Running        Running 4 seconds ago
p3tqe5lhu9zg  getstartedlab_web.5  tocyuki/repository:tag  vm01  Running        Running 4 seconds ago
tocyuki@vm01:~/docker_tutorial/part3$ docker ps
CONTAINER ID        IMAGE                                                                                        COMMAND             CREATED             STATUS              PORTS               NAMES
49ffec8732f5        tocyuki/repository@sha256:1ae82dcb5528f752c9c1fc57a55ec0dde097ee2b119011ed2d99b3b9e81228d8   "python app.py"     3 minutes ago       Up 3 minutes        80/tcp              getstartedlab_web.4.5rdhkuc5xknsyeru01160pang
7f105ebe27ed        tocyuki/repository@sha256:1ae82dcb5528f752c9c1fc57a55ec0dde097ee2b119011ed2d99b3b9e81228d8   "python app.py"     3 minutes ago       Up 3 minutes        80/tcp              getstartedlab_web.5.p3tqe5lhu9zgh1atrwe7svk59
485d12957ac6        tocyuki/repository@sha256:1ae82dcb5528f752c9c1fc57a55ec0dde097ee2b119011ed2d99b3b9e81228d8   "python app.py"     3 minutes ago       Up 3 minutes        80/tcp              getstartedlab_web.1.msazmhxdrs9z75379ojwkgmgj
a55408bffb42        tocyuki/repository@sha256:1ae82dcb5528f752c9c1fc57a55ec0dde097ee2b119011ed2d99b3b9e81228d8   "python app.py"     3 minutes ago       Up 3 minutes        80/tcp              getstartedlab_web.3.js4j0zhxaydun9wwv9xqtew5c
c2d0e23af466        tocyuki/repository@sha256:1ae82dcb5528f752c9c1fc57a55ec0dde097ee2b119011ed2d99b3b9e81228d8   "python app.py"     3 minutes ago       Up 3 minutes        80/tcp              getstartedlab_web.2.4bz3usxe0fpaxsy0q9qi3ai53

WEBブラウザからの確認

  • 更新していくと、各コンテナに負荷分散されているのがわかる

WS000517.png
WS000518.png
WS000519.png
WS000520.png
WS000521.png

アプリの終了

tocyuki@vm01:~/docker_tutorial/part3$ docker stack rm getstartedlab
Removing service getstartedlab_web
Removing network getstartedlab_webnet

Part3で学習したコマンドのチートシート

# List all running applications on this Docker host
docker stack ls      

# Run the specified Compose file        
docker stack deploy -c <composefile> <appname>  

# List the services associated with an app
docker stack services <appname>    

# List the running containers associated with an app   
docker stack ps <appname>   

# Tear down an application
docker stack rm <appname>                             
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