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Swarm Consul Shipyard配置Docker集群

einhep 发表于 2016-11-1 19:02:02 [显示全部楼层] 只看大图 回帖奖励 阅读模式 关闭右栏 0 15956

问题导读

1.consul镜像的作用是什么?
2.swarm的作用是什么?
3.如何实现管理docker节点?






官方网站:
https://www.consul.io
https://www.consul.io/docs/commands/
http://demo.consul.io/


功能:
https://www.consul.io/intro/
Service Discovery
Failure Detection
Multi Datacenter
Key/Value Storage


环境:
CentOS 7.0
consul-0.6.4
docker-engine-1.11.2


虚拟机测试,请参看Consul集群

本实验采用3容器节点consul server
consul-s1.example.com(192.168.8.101)
consul-s2.example.com(192.168.8.102)
consul-s3.example.com(192.168.8.103)
swarm(manager+agent),rethinkdb,shipyard(192.168.8.254)




一.安装docker
请参看CentOS6/7 docker安装




二.拉取consul镜像
docker pull progrium/consul
提示:目录没有官方出consul镜像,以上consul镜像是星数最高的,也是consul官方推荐的第三方docker image
https://github.com/gliderlabs/docker-consul


三.配置consul cluster
1.jpg
1.建用户(所有consul节点)
groupadd -g 1000 consul
useradd -u 100 -g 1000 -s /sbin/nologin consul
mkdir -p /opt/consul/{data,conf}
chown -R consul: /opt/consul
说明:uid为100,gid为1000,是该镜像里写入文件的拥有人的uid,gid,如果不事先建好,启动时会报没有权限写入数据到data目录
2.配置consul server

consul-s1.example.com



docker run -d --restart=always \
    -p 8300:8300 \
    -p 8301:8301 \
    -p 8301:8301/udp \
    -p 8302:8302 \
    -p 8302:8302/udp \
    -p 8400:8400 \
    -p 8500:8500 \
    -p 8600:53 \
    -p 8600:53/udp \
    -h consul-s1 \
    -v /opt/consul/data:/consul/data \
    -v /opt/consul/conf:/consul/conf \
    --name=consul-s1 consul:0.6.4 \
    agent -server -bootstrap-expect=1 -ui \
    -config-dir=/consul/conf \
    -client=0.0.0.0 \
    -node=consul-s1 \
    -advertise=192.168.8.101


consul-s2.example.com



docker run -d --restart=always \
    -p 8300:8300 \
    -p 8301:8301 \
    -p 8301:8301/udp \
    -p 8302:8302 \
    -p 8302:8302/udp \
    -p 8400:8400 \
    -p 8500:8500 \
    -p 8600:53 \
    -p 8600:53/udp \
    -h consul-s2 \
    -v /opt/consul/data:/consul/data \
    -v /opt/consul/conf:/consul/conf \
    --name=consul-s2 consul:0.6.4 \
    agent -server -ui \
    -config-dir=/consul/conf \
    -client=0.0.0.0 \
    -node=consul-s2 \
    -join=192.168.8.101 \
    -advertise=192.168.8.102



consul-s3.example.com



docker run -d --restart=always \
    -p 8300:8300 \
    -p 8301:8301 \
    -p 8301:8301/udp \
    -p 8302:8302 \
    -p 8302:8302/udp \
    -p 8400:8400 \
    -p 8500:8500 \
    -p 8600:53 \
    -p 8600:53/udp \
    -h consul-s3 \
    -v /opt/consul/data:/consul/data \
    -v /opt/consul/conf:/consul/conf \
    --name=consul-s3 consul:0.6.4 \
    agent -server -ui \
    -config-dir=/consul/conf \
    -client=0.0.0.0 \
    -node=consul-s3 \
    -join=192.168.8.101 \
    -advertise=192.168.8.103



3.查看consul集群状态(HTTP REST API)
[root@ela-master1 ~]# curl localhost:8500/v1/status/leader
"192.168.8.102:8300"
[root@ela-master1 ~]# curl localhost:8500/v1/status/peers
["192.168.8.102:8300","192.168.8.101:8300","192.168.8.103:8300"]

root@router:~#curl 192.168.8.101:8500/v1/catalog/services
{"consul":[]}
root@router:~#curl 192.168.8.101:8500/v1/catalog/nodes|json_reformat
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100   376  100   376    0     0   131k      0 --:--:-- --:--:-- --:--:--  183k
[
    {
        "Node": "consul-s1",
        "Address": "192.168.8.101",
        "TaggedAddresses": {
            "wan": "192.168.8.101"
        },
        "CreateIndex": 3,
        "ModifyIndex": 3783
    },
    {
        "Node": "consul-s2",
        "Address": "192.168.8.102",
        "TaggedAddresses": {
            "wan": "192.168.8.102"
        },
        "CreateIndex": 6,
        "ModifyIndex": 3778
    },
    {
        "Node": "consul-s3",
        "Address": "192.168.8.103",
        "TaggedAddresses": {
            "wan": "192.168.8.103"
        },
        "CreateIndex": 3782,
        "ModifyIndex": 3792
    }



四.客户端注册
1.consul agent
consul-c1.example.com



docker run -d --restart=always \
    -p 8300:8300 \
    -p 8301:8301 \
    -p 8301:8301/udp \
    -p 8302:8302 \
    -p 8302:8302/udp \
    -p 8400:8400 \
    -p 8500:8500 \
    -p 8600:53 \
    -p 8600:53/udp \
    -h consul-c1 \
    -v /opt/consul/data:/consul/data \
    -v /opt/consul/conf:/consul/conf \
    --name=consul-c1 consul:0.6.4 \
    agent \
    -config-dir=/consul/conf \
    -client=0.0.0.0 \
    -node=consul-c1 \
    -join=192.168.8.101 \
    -advertise=192.168.8.254

提示: 可以通过consul agent的DNS来发现和注册服务,测试DNS
dig @172.17.0.2 -p8600 consul-s3.service.consul SRV
默认的domain为"节点名(-node指定的全局唯一名称).service.consul",对于跨主机容器服务集群是不错的解决方案



2.jpg


2.gliderlabs/registrator
http://artplustech.com/docker-consul-dns-registrator/
docker run -tid \
    --restart=always \
    --name=registrator \
    --net=host \
    -v /var/run/docker.sock:/tmp/docker.sock \
    gliderlabs/registrator -ip 192.168.8.254 consul://192.168.8.101:8500

提示:可以简单地通过基于docker socket文件的gliderlabs/registrator容器来注册服务
3.jpg
3.swarm+shipyard+rethinkdb
4.jpg
请参看Docker GUI之Shipyard, 这里swarm是通过consul的HTTP API来实现服务发现的,另外一种方式是通过consul agent的DNS服务来发现
a.swarm manager
docker run -tid --restart=always \
    -p 3375:3375 \
    --name swarm-manager \
    swarm:latest manage --host tcp://0.0.0.0:3375 consul://192.168.8.101:8500
b.swarm agent
docker run -tid --restart=always \
    --name swarm-agent \
    swarm:latest join --addr 192.168.8.254:2375 consul://192.168.8.101:8500

c.rethinkdb
docker run -tid --restart=always \
    --name shipyard-rethinkdb \
    -p 28015:28015 \
    -p 29015:29015 \
    -v /opt/rethinkdb:/data \
    rethinkdb

d.shipyard
docker run -tid --restart=always \
    --name shipyard-controller \
    --link shipyard-rethinkdb:rethinkdb \
    --link swarm-manager:swarm \
    -p 18080:8080 \
    shipyard/shipyard:latest \
    server \
    -d tcp://swarm:3375


提示:
shipyard这里使用了--link和别名
rethinkdb默认监听28015,29015,8080,支持集群
[root@ela-client ~]# docker logs -f 3b381c89cdfc
Recursively removing directory /data/rethinkdb_data/tmp
Initializing directory /data/rethinkdb_data
Running rethinkdb 2.3.4~0jessie (GCC 4.9.2)...
Running on Linux 3.10.0-229.el7.x86_64 x86_64
Loading data from directory /data/rethinkdb_data
Listening for intracluster connections on port 29015
Listening for client driver connections on port 28015
Listening for administrative HTTP connections on port 8080
Listening on cluster addresses: 127.0.0.1, 172.17.0.3, ::1, fe80::42:acff:fe11:3x
Listening on driver addresses: 127.0.0.1, 172.17.0.3, ::1, fe80::42:acff:fe11:3x
Listening on http addresses: 127.0.0.1, 172.17.0.3, ::1, fe80::42:acff:fe11:3x
Server ready, "3b381c89cdfc_6bb" b9d1f2c6-9cd5-4702-935c-aa3bc2721261


提示:shipyard启动后,需要等一段时间(1分钟)才能找到rethinkdb,等待期间shipyard不可用,一旦rethinkdb连接成功即监听在8080,可以正常打开shipyard控制台
[root@ela-client ~]# docker logs -f 516e912629fb

FATA[0000] no connections were made when creating the session
INFO[0000] shipyard version 3.0.5                       
WARN[0000] Error creating connection: gorethink: dial tcp 172.17.0.3:28015: getsockopt: connection refused
FATA[0000] no connections were made when creating the session
INFO[0000] shipyard version 3.0.5                       
WARN[0000] Error creating connection: gorethink: dial tcp 172.17.0.3:28015: getsockopt: connection refused
FATA[0000] no connections were made when creating the session
INFO[0000] shipyard version 3.0.5                       
WARN[0000] Error creating connection: gorethink: dial tcp 172.17.0.3:28015: getsockopt: connection refused
FATA[0000] no connections were made when creating the session
INFO[0000] shipyard version 3.0.5                       
WARN[0000] Error creating connection: gorethink: dial tcp 172.17.0.3:28015: getsockopt: connection refused
FATA[0000] no connections were made when creating the session
INFO[0000] shipyard version 3.0.5                       
INFO[0000] checking database                           
INFO[0002] created admin user: username: admin password: shipyard
INFO[0002] controller listening on :18080               
WARN[0032] error sending usage info: Post http://tracker.shipyard-project.com/update: dial tcp: i/o timeout


e.修改docker监听方式(socket-->tcp)
sed -i '/-H/s#-H fd://#-H tcp://0.0.0.0:2375 -H unix:///var/run/docker.sock#' /lib/systemd/system/docker.service
systemctl daemon-reload
systemctl restart docker
因为swarm agent需要监听在2375端口,所以需要重启docker才能生效,而我这里是将上面4个容器全部放全部放在了192.168.8.254这台主机上,重启docker会伴随重启docker里的所有容器,故建议生产环境科学拆分合理分布

注意:
1.CentOS7等比较新的系统,docker.server,docker.socket是拆分到两个文件里但又相互依赖,而CentOS6上则是合并,不然启动会报命令语法错误。
2.如果仅修改-H tcp://0.0.0.0:2375,则docker ps等子命令会全部卡住,所以要同时加上-H unix:///var/run/docker.sock
3.如果docker运行在socket方式,在运行如上4个容器后,无论怎么重启,shipyard控制台确实可以登录,但是容器,镜像,节点等里面的内容都是空的

5.jpg


4.添加swarm集群成员
节约资源,这里直接将是面的
consul-s1.example.com
consul-s2.example.com
consul-s3.example.com
加入到swarm集群里
consul-s1.example.com
docker run -tid \
    --restart=always \
    --name swarm-agent \
    swarm:latest \
    join --addr 192.168.8.101:2375 consul://192.168.8.101:8500
sed -i '/-H/s#-H fd://#-H tcp://0.0.0.0:2375 -H unix:///var/run/docker.sock#' /lib/systemd/system/docker.service
systemctl daemon-reload
systemctl restart docker
consul-s2.example.com
docker run -tid \
    --restart=always \
    --name swarm-agent \
    swarm:latest \
    join --addr 192.168.8.102:2375 consul://192.168.8.101:8500
sed -i '/-H/s#-H fd://#-H tcp://0.0.0.0:2375 -H unix:///var/run/docker.sock#' /lib/systemd/system/docker.service
systemctl daemon-reload
systemctl restart docker
consul-s3.example.com
docker run -tid \
    --restart=always \
    --name swarm-agent \
    swarm:latest \
    join --addr 192.168.8.103:2375 consul://192.168.8.101:8500
sed -i '/-H/s#-H fd://#-H tcp://0.0.0.0:2375 -H unix:///var/run/docker.sock#' /lib/systemd/system/docker.service
systemctl daemon-reload
systemctl restart docker


5.管理docker节点
1.-H指定docker节点
docker -H tcp://192.168.8.101:2375 ps
直接通过-H指定集群中的docker节点,子命令和本地执行无异
2.shipyard控制台

6.jpg

7.jpg

8.jpg







来自:新浪
作者:liujun_live


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