Docker Swarm Cluster 部署

1、部署环境

服务器名称	IP地址	备注
node01	10.32.161.124	Manager
node02	10.32.161.125	Work
node03	10.32.161.126	Work

2、Docker CE安装

参考：https://www.cnblogs.com/a120608yby/p/9883175.html

3、更改所有节点配置

# 修改配置并重启docker
# vi /etc/docker/daemon.json
{
    "live-restore": false
}


# systemctl restart docker

# 防火墙配置
firewall-cmd --add-port={2377/tcp,7946/tcp,7946/udp,4789/udp}
firewall-cmd --runtime-to-permanent

# 安装命令补全
dnf install bash-completion -y

4、在Manager节点上初始化

# docker swarm init
Swarm initialized: current node (bfa2c8gfcxgmb60uq4e0j9zgp) is now a manager.

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

    docker swarm join --token SWMTKN-1-5yz0ag8l4mqj1gw20kl6fn4j38gj9rs4oefi6pgyuz40wsjotp-1tpgymi77j5idqanazqbpsmoj 10.32.161.124:2377

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

5、将Work节点加入集群

# docker swarm join \
--token SWMTKN-1-5yz0ag8l4mqj1gw20kl6fn4j38gj9rs4oefi6pgyuz40wsjotp-1tpgymi77j5idqanazqbpsmoj 10.32.161.124:2377
This node joined a swarm as a worker.

6、在Manager节点上验证集群节点情况

# docker node ls
ID                            HOSTNAME   STATUS    AVAILABILITY   MANAGER STATUS   ENGINE VERSION
bfa2c8gfcxgmb60uq4e0j9zgp *   node01     Ready     Active         Leader           24.0.7
c6zanp6akzdpzefiyudynajcc     node02     Ready     Active                          24.0.7
yuw9tg4ufwmtslanebshyg7zb     node03     Ready     Active                          24.0.7

7、在Manager节点上创建镜像和服务

# 创建服务
# docker service create --name swarm_cluster --replicas=2 -p 80:80 nginx:stable-alpine
ue6t4lnrn9s5udcowue6v3oe5
overall progress: 2 out of 2 tasks 
1/2: running   [==================================================>] 
2/2: running   [==================================================>] 
verify: Service converged 

# 查看服务
# docker service ls
ID             NAME            MODE         REPLICAS   IMAGE                 PORTS
ue6t4lnrn9s5   swarm_cluster   replicated   2/2        nginx:stable-alpine   *:80->80/tcp

# docker service inspect swarm_cluster --pretty

ID:             ue6t4lnrn9s5udcowue6v3oe5
Name:           swarm_cluster
Service Mode:   Replicated
 Replicas:      2
Placement:
UpdateConfig:
 Parallelism:   1
 On failure:    pause
 Monitoring Period: 5s
 Max failure ratio: 0
 Update order:      stop-first
RollbackConfig:
 Parallelism:   1
 On failure:    pause
 Monitoring Period: 5s
 Max failure ratio: 0
 Rollback order:    stop-first
ContainerSpec:
 Image:         nginx:stable-alpine@sha256:089520833b93077841d3cdc7ab1f7b817de73c7e10070b71b85fa97da7623dbe
 Init:          false
Resources:
Endpoint Mode:  vip
Ports:
 PublishedPort = 80
  Protocol = tcp
  TargetPort = 80
  PublishMode = ingress 

# docker service ps swarm_cluster
ID             NAME              IMAGE                 NODE      DESIRED STATE   CURRENT STATE           ERROR     PORTS
p8ik8k4eijfk   swarm_cluster.1   nginx:stable-alpine   node02    Running         Running 2 minutes ago             
l6qosoijkpzw   swarm_cluster.2   nginx:stable-alpine   node03    Running         Running 2 minutes ago 

# 访问服务
# for i in {124..126}; do curl -I 10.32.161.$i; done
HTTP/1.1 200 OK
Server: nginx/1.24.0
Date: Thu, 11 Jan 2024 02:47:49 GMT
Content-Type: text/html
Content-Length: 615
Last-Modified: Tue, 11 Apr 2023 17:21:57 GMT
Connection: keep-alive
ETag: "64359735-267"
Accept-Ranges: bytes

HTTP/1.1 200 OK
Server: nginx/1.24.0
Date: Thu, 11 Jan 2024 02:47:49 GMT
Content-Type: text/html
Content-Length: 615
Last-Modified: Tue, 11 Apr 2023 17:21:57 GMT
Connection: keep-alive
ETag: "64359735-267"
Accept-Ranges: bytes

HTTP/1.1 200 OK
Server: nginx/1.24.0
Date: Thu, 11 Jan 2024 02:47:49 GMT
Content-Type: text/html
Content-Length: 615
Last-Modified: Tue, 11 Apr 2023 17:21:57 GMT
Connection: keep-alive
ETag: "64359735-267"
Accept-Ranges: bytes

# 服务伸缩
# docker service scale swarm_cluster=3
swarm_cluster scaled to 3
overall progress: 3 out of 3 tasks 
1/3: running   [==================================================>] 
2/3: running   [==================================================>] 
3/3: running   [==================================================>] 
verify: Service converged 

# docker service ps swarm_cluster
ID             NAME              IMAGE                 NODE      DESIRED STATE   CURRENT STATE           ERROR     PORTS
p8ik8k4eijfk   swarm_cluster.1   nginx:stable-alpine   node02    Running         Running 5 minutes ago             
l6qosoijkpzw   swarm_cluster.2   nginx:stable-alpine   node03    Running         Running 5 minutes ago             
u8yxsvmn8up7   swarm_cluster.3   nginx:stable-alpine   node01    Running         Running 9 seconds ago 

8、Portainer CE 安装

# 下载部署文件
curl -L https://downloads.portainer.io/ce2-19/portainer-agent-stack.yml -o portainer-agent-stack.yml

# 部署portainer
# docker stack deploy -c portainer-agent-stack.yml portainer
Creating network portainer_agent_network
Creating service portainer_agent
Creating service portainer_portainer

# docker stack ps portainer 
ID             NAME                                        IMAGE                           NODE      DESIRED STATE   CURRENT STATE           ERROR     PORTS
ppo2yz1g5jjx   portainer_agent.bfa2c8gfcxgmb60uq4e0j9zgp   portainer/agent:2.19.4          node01    Running         Running 2 minutes ago             
1puaw3gom6ts   portainer_agent.c6zanp6akzdpzefiyudynajcc   portainer/agent:2.19.4          node02    Running         Running 2 minutes ago             
e5f04449exnr   portainer_agent.yuw9tg4ufwmtslanebshyg7zb   portainer/agent:2.19.4          node03    Running         Running 2 minutes ago             
2i6ae0pwrhbv   portainer_portainer.1                       portainer/portainer-ce:2.19.4   node01    Running         Running 2 minutes ago  

　　Portainer访问

访问地址：http://Manager地址:9000/
默认账号：admin

 

参考：

https://docs.docker.com/engine/swarm/swarm-tutorial/create-swarm/
https://docs.portainer.io/start/install-ce/server/swarm/linux