科技常识:详解使用docker 1.12 搭建多主机docker swarm集群

2021-03-15 10:40:23
导读 今天小编跟大家讲解下有关详解使用docker 1 12 搭建多主机docker swarm集群 ,相信小伙伴们对这个话题应该也很关注吧,小编也收集到了

今天小编跟大家讲解下有关详解使用docker 1.12 搭建多主机docker swarm集群 ,相信小伙伴们对这个话题应该也很关注吧,小编也收集到了有关详解使用docker 1.12 搭建多主机docker swarm集群 的相关资料,希望小伙伴会喜欢也能够帮助大家。

swarm是docker公司自己的容器集群管理工具,本文介绍了使用docker 1.12 搭建多主机docker swarm集群,分享给大家

准备

准备至少两台的centos 7 主机(全新最小安装, 可以使用虚拟机安装) 开放端口2377 tcp端口, 7946 4789 tcp udp 端口 本文使用192.168.99.101(hostname:centos-node4) 作为swarm manager 192.168.99.102(hostname:centos-node5) 作为swarm agent1

安装docker engine 1.12在每台机器上执行以下命令

# sudo 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# sudo yum install docker-engine# sudo systemctl enable docker# sudo systemctl start docker

安装完后查看Docker 版本

[root@centos-node4 ~]# docker version Client: Version: 1.12.0 API version: 1.24 Go version: go1.6.3 Git commit: 8eab29e Built: OS/Arch: linux/amd64Server: Version: 1.12.0 API version: 1.24 Go version: go1.6.3 Git commit: 8eab29e Built: OS/Arch: linux/amd64

开放端口相关命令

firewall-cmd --zone=public --add-port=2377/tcp --permanent firewall-cmd --zone=public --add-port=7946/tcp --permanent firewall-cmd --zone=public --add-port=7946/udp --permanent firewall-cmd --zone=public --add-port=4789/tcp --permanent firewall-cmd --zone=public --add-port=4789/udp --permanent firewall-cmd --reload

新版docker swarm 命令详情

有关集群的docker命令如下:

docker swarm:集群管理,子命令有init, join,join-token, leave, update docker node:节点管理,子命令有demote, inspect,ls, promote, rm, ps, update docker service:服务管理,子命令有create, inspect, ps, ls ,rm , scale, update docker stack/deploy:试验特性,用于多应用部署

创建swarm 集群

查看docker swarm 命令说明

[root@centos-node4 ~]# docker swarm -hFlag shorthand -h has been deprecated, please use --helpUsage: docker swarm COMMANDManage Docker SwarmOptions: --help Print usageCommands: init Initialize a swarm join Join a swarm as a node and/or manager join-token Manage join tokens update Update the swarm leave Leave a swarmRun 'docker swarm COMMAND --help' for more information on a command.

在swarm manager(centos-node4:192.168.99.101)初始化swarm集群

用--listen-addr指定监听的ip与端口

#命令格式: docker swarm init --listen-addr <MANAGER-IP>:<PORT>[root@centos-node4 ~]# docker swarm init --listen-addr 192.168.99.101:2377Swarm initialized: current node (a60d5c3ttymvtozr46uvk17q4) is now a manager.

查看结果

[root@centos-node4 ~]# docker node lsID HOSTNAME MEMBERSHIP STATUS AVAILABILITY MANAGER STATUS a60d5c3ttymvtozr46uvk17q4 * centos-node4 Accepted Ready Active Leader

把swarm-agent1(centos-node5: 192.168.99.102)添加到swarm集群

在swarm-agent1上执行:

#命令格式: docker swarm join <MANAGER-IP>:<PORT>[root@centos-node5 ~]# docker swarm join 192.168.99.101:2377This node joined a Swarm as a worker.

在swarm manager查看结果

[root@centos-node4 ~]# docker node lsID HOSTNAME MEMBERSHIP STATUS AVAILABILITY MANAGER STATUS 0ypcw58hjlcvr0xqbtizmau62 centos-node5 Accepted Ready Active a60d5c3ttymvtozr46uvk17q4 * centos-node4 Accepted Ready Active Leader

创建一个overlay 跨主机网络

查看原有网络

[root@centos-node4 ~]# docker network lsNETWORK ID NAME DRIVER SCOPE abec77415f48 bridge bridge local e2fff9d572a6 docker_gwbridge bridge local 166bd71f7d0e host host local 9gr6bfff1rv9 ingress overlay swarm 1d2bfc590294 none null local

可以看到在swarm上默认已有一个名为ingress的overlay 网络,默认在swarm里使用,本文会创建一个新的

创建一个新的overlay网络

[root@centos-node4 ~]# docker network create --driver overlay docker-netaoqs3p835s5glx69hi46ou2dw [root@centos-node4 ~]# docker network lsNETWORK ID NAME DRIVER SCOPE abec77415f48 bridge bridge local aoqs3p835s5g docker-net overlay swarm e2fff9d572a6 docker_gwbridge bridge local 166bd71f7d0e host host local 9gr6bfff1rv9 ingress overlay swarm 1d2bfc590294 none null local

新的网络(docker-net)已创建

在新的跨主机overlay 网络(docker-net)上创建应用

部署

用alpine镜像在docker-net网络上启动两个实例, 并编排为一组服务

[root@centos-node4 ~]# docker service create --replicas 2 --name helloworld --network=docker-net alpine ping docker.com5lgdq3ihiez0o7h2uegu4fgd3

查看部署结果

[root@centos-node4 ~]# docker service lsID NAME REPLICAS IMAGE COMMAND 5lgdq3ihiez0 helloworld 0/2 alpine ping docker.com [root@centos-node4 ~]# docker service tasks helloworldID NAME SERVICE IMAGE LAST STATE DESIRED STATE NODE eul3bus45qz3b555wekotdmo5 helloworld.1 helloworld alpine Running 14 seconds Running centos-node5 55uhq6xxcv53xlkqv2f0be9b9 helloworld.2 helloworld alpine Running 14 seconds Running centos-node4

可以看到两个实例分别运行在两个节点上

测试两个主机的网络是否能互通

分别查看两个实例的名称

# 在swarm-manager 上执行[root@centos-node4 ~]# docker ps -aCONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES f4a197abdb0b alpine:latest"ping docker.com"42 minutes ago Up 42 minutes helloworld.2.55uhq6xxcv53xlkqv2f0be9b9# 在swarm-agnet1 上执行[root@centos-node5 ~]# docker ps -aCONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 39cc35cd54b5 alpine:latest"ping docker.com"50 seconds ago Up 49 seconds helloworld.1.eul3bus45qz3b555wekotdmo5

在swarm-manager 上测试

[root@centos-node4 ~]# docker exec -ti helloworld.2.55uhq6xxcv53xlkqv2f0be9b9 sh/ # ping helloworld.1.eul3bus45qz3b555wekotdmo5PING helloworld.1.eul3bus45qz3b555wekotdmo5 (10.0.9.3): 56 data bytes 64 bytes from 10.0.9.3: seq=0 ttl=64 time=0.514 ms 64 bytes from 10.0.9.3: seq=1 ttl=64 time=0.508 ms 64 bytes from 10.0.9.3: seq=2 ttl=64 time=0.381 ms 64 bytes from 10.0.9.3: seq=3 ttl=64 time=0.408 ms ^C--- helloworld.1.eul3bus45qz3b555wekotdmo5 ping statistics ---4 packets transmitted, 4 packets received, 0% packet loss round-trip min/avg/max = 0.381/0.452/0.514 ms

在swarm-agent1 上测试

[root@centos-node5 ~]# docker ps -aCONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 39cc35cd54b5 alpine:latest"ping docker.com"50 seconds ago Up 49 seconds helloworld.1.eul3bus45qz3b555wekotdmo5 [root@centos-node5 ~]# docker exec -ti helloworld.1.eul3bus45qz3b555wekotdmo5 sh/ # ping helloworld.2.55uhq6xxcv53xlkqv2f0be9b9PING helloworld.2.55uhq6xxcv53xlkqv2f0be9b9 (10.0.9.4): 56 data bytes 64 bytes from 10.0.9.4: seq=0 ttl=64 time=0.892 ms 64 bytes from 10.0.9.4: seq=1 ttl=64 time=0.463 ms 64 bytes from 10.0.9.4: seq=2 ttl=64 time=0.462 ms 64 bytes from 10.0.9.4: seq=3 ttl=64 time=0.478 ms 64 bytes from 10.0.9.4: seq=4 ttl=64 time=0.468 ms 64 bytes from 10.0.9.4: seq=5 ttl=64 time=0.459 ms ^C--- helloworld.2.55uhq6xxcv53xlkqv2f0be9b9 ping statistics ---6 packets transmitted, 6 packets received, 0% packet loss round-trip min/avg/max = 0.459/0.537/0.892 ms

现在新版的docker swarm 管理非常简单, 可以快速的搭建起一个跨主机的集群并部署应用

dokcer swarm自带的负载均衡

创建一组服务

复制代码 代码如下:docker service create --replicas 2 --name whoami -p 8080:80 daocloud.io/nginx:alpine

访问服务(可以多执行几次)

# 访问地址格式: swarm-manager.ip + (-p映射的端口)curl -v 192.168.99.101:8080

然后用docker logs 查看容器中nginx的访问日志, 可以现两个容器都有访问记录

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持爱蒂网。

来源:爱蒂网

免责声明:本文由用户上传,如有侵权请联系删除!

猜你喜欢

最新文章