• docker swarm集群搭建


    docker swarm集群搭建

    原文:https://www.cnblogs.com/galengao/p/5780948.html

    摘要:

    • swarm是docker原生的集群管理软件,与kubernetes比起来比较简单

    1、部署

    系统时centos7上
    关闭防火墙 systemctl stop firewalld.service 
    关闭selinux vi /etc/selinux/comfig

    192.168.10.140 swarm manager
    192.168.10.141 swarm node
    192.168.10.142 swarm mode

    2、分别在manager节点和node节点上安装docker

    安装方式参照我的另一篇文章docker安装http://galengao.github.io/docker/2016/06/03/mydocker-use.html

    复制代码
    yum update
    
    tee /etc/yum.repos.d/docker.repo<<EOF
    [dockerrepo]
    name=Docker Repository
    baseurl=https://yum.dockerproject.org/repo/main/centos/7/
    enabled=1
    gpgcheck=1
    gpgkey=https://yum.dockerproject.org/gpg
    EOF
    
    yum install docker-engine
    复制代码
     

    3、分别在manager节点和node节点上配置docker

    复制代码
    vi /lib/systemd/system/docker.service
    # 修改ExecStart项为如下:
    ExecStart=/usr/bin/docker daemon -H 0.0.0.0:2375 -H unix:///var/run/docker.sock
    # 重新载入配置,使修改生效。
    systemctl daemon-reload
    # 重启docker。
    systemctl restart docker
    复制代码
     

    4、在manager节点和node节点上push swarm镜像

    复制代码
    [root@swarm1 ~]# docker pull swarm
    Using default tag: latest
    latest: Pulling from library/swarm
    1e61bbec5d24: Pull complete 
    8c7b2f6b74da: Pull complete 
    245a8db4f1e1: Pull complete 
    Digest: sha256:661f2e4c9470e7f6238cebf603bcf5700c8b948894ac9e35f2cf6f63dcda723a
    Status: Downloaded newer image for swarm:latest
    复制代码
     

    5、创建集群token,获取全球唯一的 token,作为集群唯一标识

    # 在任何节点都可以,但是要记住该值,以后要用到
    [root@swarm1 ~]# docker run --rm swarm create
    eca9b4ab85feb53f8a9676c72dd01b1a
     

    6、加入集群

    复制代码
    # 在manager也就是节点node1
    [root@swarm1 ~]# docker run -d swarm join -addr=192.168.10.140:2375 token://eca9b4ab85feb53f8a9676c72dd01b1a
    109da11914295c588c6afe5f83ab731bd0d0012897c39c311de89534e2f5bc13
    # node2上
    [root@swarm1 ~]# docker run -d swarm join -addr=192.168.10.141:2375 token://eca9b4ab85feb53f8a9676c72dd01b1a
    1da02eb6a00a8860eefe965a0aded446aebff8b502962c717dd3f494b546841a
    # node3上
    [root@swarm1 ~]# docker run -d swarm join -addr=192.168.10.142:2375 token://eca9b4ab85feb53f8a9676c72dd01b1a
    b5483c91bff0ad21e19700af51990d631e991f9d67188c7419f147652d494972
    复制代码
     

    7、启动管理机

    # 在管理机上执行:
    [root@swarm1 ~]# docker run -d -p 2376:2375 swarm manage token://eca9b4ab85feb53f8a9676c72dd01b1a
    3073a3dd59a5782f706d6481cfd1a36e8090f21764dfec2532899450bd719456
     

    8、查看节点信息

    复制代码
    # 本机上查看节点信息
    [root@swarm1 ~]# docker ps -a
    CONTAINER ID        IMAGE               COMMAND                  CREATED             STATUS              PORTS               NAMES
    1da02eb6a00a        swarm               "/swarm join -addr=19"   27 minutes ago      Up 27 minutes       2375/tcp            sick_bose
    # 查看集群所有节点信息,在任何一台机器上执行
    [root@swarm1 ~]# docker run --rm swarm list token://eca9b4ab85feb53f8a9676c72dd01b1a
    192.168.10.142:2375
    192.168.10.141:2375
    192.168.10.140:2375
    # 查看集群详细信息。在任何一台机器上执行:
    # 该IP地址是manager的地址
    [root@swarm1 ~]# docker -H 192.168.10.140:2376 info
    Containers: 0
     Running: 0
     Paused: 0
     Stopped: 0
    Images: 0
    Server Version: swarm/1.2.3
    Role: primary
    Strategy: spread
    Filters: health, port, containerslots, dependency, affinity, constraint
    Nodes: 3
     (unknown): 192.168.10.142:2375
      └ ID: 
      └ Status: Pending
      └ Containers: 0
      └ Reserved CPUs: 0 / 0
      └ Reserved Memory: 0 B / 0 B
      └ Labels: 
      └ UpdatedAt: 2016-07-28T07:54:39Z
      └ ServerVersion: 
     (unknown): 192.168.10.141:2375
      └ ID: 
      └ Status: Pending
      └ Containers: 0
      └ Reserved CPUs: 0 / 0
      └ Reserved Memory: 0 B / 0 B
      └ Labels: 
      └ UpdatedAt: 2016-07-28T07:54:39Z
      └ ServerVersion: 
     (unknown): 192.168.10.140:2375
      └ ID: 
      └ Status: Pending
      └ Containers: 0
      └ Reserved CPUs: 0 / 0
      └ Reserved Memory: 0 B / 0 B
      └ Labels: 
      └ UpdatedAt: 2016-07-28T07:54:39Z
      └ ServerVersion: 
    Plugins: 
     Volume: 
     Network: 
    Kernel Version: 3.10.0-229.el7.x86_64
    Operating System: linux
    Architecture: amd64
    CPUs: 0
    Total Memory: 0 B
    Name: 3073a3dd59a5
    Docker Root Dir: 
    Debug mode (client): false
    Debug mode (server): false
    WARNING: No kernel memory limit support
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  • 原文地址:https://www.cnblogs.com/byfboke/p/9172954.html
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