# 管理節點
❯ docker-machine create -d virtualbox manager # 創建管理節點，名字爲manager
❯ docker-machine ssh manager  # 登錄到管理節點
docker@manager:~$ /sbin/ifconfig eth1 | grep 'inet addr' | cut -d: -f2 | awk '{print $1}'
192.168.99.104  # 獲得IP
docker@manager:~$ docker swarm init --advertise-addr 192.168.99.104  # 在管理節點初始化一個Swarm集羣，另外Docker主機有多個網卡，所以有多個IP，必須使用 --advertise-addr 指定IP
Swarm initialized: current node (k8cdrnrylrkxpsk4qoyybwpca) is now a manager.

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

    docker swarm join --token SWMTKN-1-2gfzia6yrk172e8352jxpolevjr9gx1a9xu95hg0ibkhqat52p-d6j79273adew38s5mzmewgwoo 192.168.99.104:2377  # 記住這句命令

To add a manager to this swarm, run 'docker swarm join-token manager' and follow the instructions.
❯ docker-machine create -d virtualbox worker1 # 創建工作節點，名字worker1
❯ docker-machine ssh worker1
docker@worker1:~$ docker swarm join --token SWMTKN-1-2gfzia6yrk172e8352jxpolevjr9gx1a9xu95hg0ibkhqat52p-d6j79273adew38s5mzmewgwoo 192.168.99.104:2377  # 從上面直接粘貼來
This node joined a swarm as a worker.
❯ docker-machine create -d virtualbox worker2 # 創建工作節點，名字worker2
❯ docker-machine ssh worker2
docker@worker2:~$ docker swarm join --token SWMTKN-1-2gfzia6yrk172e8352jxpolevjr9gx1a9xu95hg0ibkhqat52p-d6j79273adew38s5mzmewgwoo 192.168.99.104:2377
This node joined a swarm as a worker.

❯ docker-machine ssh manager
docker@manager:~$ docker node ls
ID                            HOSTNAME            STATUS              AVAILABILITY        MANAGER STATUS      ENGINE VERSION
k8cdrnrylrkxpsk4qoyybwpca *   manager             Ready               Active              Leader              18.09.9
puzrum9ixbt6holgfk5d8aokl     worker1             Ready               Active                                  18.09.9
sqwpb00zh5fp9z2o6r7vnebbt     worker2             Ready               Active                                  18.09.9

docker@manager:~$ docker service create --replicas 3 -p 80:80 --name nginx nginx:1.17.4-alpine  # 創建服務，三個副本，服務監聽在80端口
pydkv5ffwfqiv1aua1ylmwhum
overall progress: 3 out of 3 tasks
1/3: running   [==================================================>]
2/3: running   [==================================================>]
3/3: running   [==================================================>]
verify: Service converged
docker@manager:~$ docker service ls # 查看當前Swarm集羣運行的服務
ID                  NAME                MODE                REPLICAS            IMAGE                 PORTS
pydkv5ffwfqi        nginx               replicated          3/3                 nginx:1.17.4-alpine   *:80->80/tcp
# 現在我們使用瀏覽器，輸入任意節點IP(如管理節點的192.168.99.104)，都能看到nginx默認頁面
docker@manager:~$ docker service logs nginx # 查看Nginx服務的日誌
... # 省略輸出
docker@manager:~$ docker service scale nginx=5 # 業務高峯期時，擴展服務運行的容器數量
nginx scaled to 5
overall progress: 5 out of 5 tasks
1/5: running   [==================================================>]
2/5: running   [==================================================>]
3/5: running   [==================================================>]
4/5: running   [==================================================>]
5/5: running   [==================================================>]
verify: Service converged
docker@manager:~$ docker service ps nginx # 查看服務詳情
i6xkgnneqbbq        nginx.1             nginx:1.17.4-alpine   worker2             Running             Running 4 minutes ago
f517ogp705ne        nginx.2             nginx:1.17.4-alpine   manager             Running             Running 5 minutes ago
... # 省略輸出
docker@manager:~$ docker service scale nginx=2 # 業務平穩期時，減少服務運行的容器數量

version: '3'
services:
  db:
    image: mysql
    environment:
      MYSQL_DATABASE: 'test'
      MYSQL_USER: 'root'
      MYSQL_PASSWORD: ''
      MYSQL_ROOT_PASSWORD: ''
      MYSQL_ALLOW_EMPTY_PASSWORD: 'true'
    volumes:
      - my-datavolume:/var/lib/mysql
    deploy:
      placement:
        constraints: [node.role == manager]
  redis:
    image: redis:alpine
    deploy:
       mode: replicated
       replicas: 3
  memcached:
    image: memcached:1.5-alpine
    deploy:
       mode: replicated
       replicas: 3
  web:
    image: 127.0.0.1:5000/lyanna-app
    build: .
    ports:
      - '8000:8000'
    volumes:
      - .:/app
      - ./local_settings.py.tmpl:/app/local_settings.py
    depends_on:
      - db
      - redis
      - memcached
    environment:
      PYTHONPATH: $PYTHONPATH:/usr/local/src/aiomcache:/usr/local/src/tortoise:/usr/local/src/arq:/usr/local/src
    command: sh -c './setup.sh && python app.py'
  visualizer:
    image: dockersamples/visualizer:stable
    ports:
      - "8080:8080"
    stop_grace_period: 1m30s
    volumes:
      - "/var/run/docker.sock:/var/run/docker.sock"
    deploy:
      placement:
        constraints: [node.role == manager]
volumes:
  my-datavolume:

❯ eval "$(docker-machine env manager)"  # 本機切換到管理主機
❯ git clone https://github.com/dongweiming/lyanna  # 下載lyanna項目源碼，如果原來已經clone了不用再做
❯ cd lyanna
❯ docker service create --name registry --publish published=5000,target=5000 registry:2  # 創建註冊服務(名字叫registry)，啓動在5000端口上
❯ docker-compose -f docker-compose.swarm.yml build  # 用Compose的方式啓動，這個過程會構建lyanna-app鏡像
❯ docker-compose -f docker-compose.swarm.yml push  # 把lyanna-app推送給本地的註冊服務
❯ docker stack deploy -c docker-compose.swarm.yml lyanna # 部署服務
Ignoring unsupported options: build

Creating network lyanna_default
Creating service lyanna_web
Creating service lyanna_visualizer
Creating service lyanna_db
Creating service lyanna_redis
Creating service lyanna_memcached