【Docker Swarm】搭建Docker Swarm高可用集群（详细版）
【Docker Swarm】搭建Docker Swarm高可用集群（详细版）
宝耶需努力
发布于 2022-12-13 16:00:11
发布于 2022-12-13 16:00:11
文章被收录于专栏：Cloud-DIY
文章目录
1️⃣什么是Docker Swarm？
- Docker Swarm 是什么？
Docker Swarm 是 Docker 的集群管理工具。其主要作用是把若干台 Docker 主机抽象为一个整体，并且通过一个入口统一管理这些 Docker 主机上的各种 Docker 资源。Docker Swarm 将一个或多个 Docker 节点组织起来，使得用户能够以集群方式管理它们。
- Docker Swarm 组成部分
swarm 集群由管理节点（Manager）和工作节点（Worker）构成。
管理节点：主要负责整个集群的管理工作包括集群配置、服务管理等所有跟集群有关的工作。诸如监控集群状态、分发任务至工作节点等操作。
工作节点：主要负责执行运行服务的任务。
image-20220502222914671
2️⃣Docker Swarm相关命令说明
# 查看docker swarm有哪些命令
[root@docker01 ~]# docker swarm
Usage: docker swarm COMMAND
Manage Swarm
Commands:
ca Display and rotate the root CA
init Initialize a swarm
join Join a swarm as a node and/or manager
join-token Manage join tokens
leave Leave the swarm
unlock Unlock swarm
unlock-key Manage the unlock key
update Update the swarm
Run 'docker swarm COMMAND --help' for more information on a command.
# 查看docker swarm init初始化集群命令的具体操作
[root@docker01 ~]# docker swarm init --help
Usage: docker swarm init [OPTIONS]
Initialize a swarm
Options:
--advertise-addr string Advertised address (format: <ip|interface>[:port])
--autolock Enable manager autolocking (requiring an unlock key to start a stopped manager)
--availability string Availability of the node ("active"|"pause"|"drain") (default "active")
--cert-expiry duration Validity period for node certificates (ns|us|ms|s|m|h) (default 2160h0m0s)
--data-path-addr string Address or interface to use for data path traffic (format: <ip|interface>)
--data-path-port uint32 Port number to use for data path traffic (1024 - 49151). If no value is set or is set to 0, the default port (4789) is used.
--default-addr-pool ipNetSlice default address pool in CIDR format (default [])
--default-addr-pool-mask-length uint32 default address pool subnet mask length (default 24)
--dispatcher-heartbeat duration Dispatcher heartbeat period (ns|us|ms|s|m|h) (default 5s)
--external-ca external-ca Specifications of one or more certificate signing endpoints
--force-new-cluster Force create a new cluster from current state
--listen-addr node-addr Listen address (format: <ip|interface>[:port]) (default 0.0.0.0:2377)
--max-snapshots uint Number of additional Raft snapshots to retain
--snapshot-interval uint Number of log entries between Raft snapshots (default 10000)
--task-history-limit int Task history retention limit (default 5)3️⃣Docker Swarm集群节点规划
为了利用 swarm 模式的容错功能，可以根据组织的高可用性要求实现
奇数个节点。 当有多个管理中心时，可以从一个管理中心节点的故障中恢复，而无需停机。
- 三个管理器群可以容忍最多损失一个管理器。
- 五个管理器群最多可以同时丢失两个管理器节点。
- 七个管理器群最多可以同时丢失三个管理器节点。
- 九个管理器群最多可以同时丢失四个管理器节点。
- Docker 建议一个群最多有七个管理器节点。 （添加更多管理器并不意味着可伸缩性或性能的提高。一般来说，情况恰恰相反。）
主机名 | IP地址 | docker版本号 | 角色 | 备注 |
|---|---|---|---|---|
manager01 | 192.168.200.81 | 20.10.14 | 管理节点 | 主管 |
manager02 | 192.168.200.82 | 20.10.14 | 管理节点 | 从管 |
manager03 | 192.168.200.83 | 20.10.14 | 管理节点 | 从管 |
worker01 | 192.168.200.91 | 20.10.14 | 工作节点 | 工作 |
worker02 | 192.168.200.92 | 20.10.14 | 工作节点 | 工作 |
4️⃣创建Docker Swarm高可用集群操作步骤演示
两步走操作
- ① 生成主节点init
- ② 加入（manager、worker）节点
📃 环境准备
- 1、修改主机名
- 2、配置IP地址
- 3、关闭防火墙和SELINUX安全模式
- 4、配置系统YUM源和Docker镜像源
- 5、更新系统（yum update -y）
- 6、安装好docker环境
# 查看docker版本号
[root@docker-m1 ~]# docker -v
Docker version 20.10.14, build a224086
# docker环境安装好，默认的网络信息。
[root@docker ~]# docker network ls
NETWORK ID NAME DRIVER SCOPE
a656864d027c bridge bridge local
9fd62dbfb07f host host local
27700772b8f7 none null local🎦 创建集群
$ docker swarm init --advertise-addr
🍎 docker-m1配置信息（manager）
# 创建新的群,生成主节点，执行如下命令，将工作节点添加到集群中。
[root@docker-m1 ~]# docker swarm init --advertise-addr 192.168.200.81
Swarm initialized: current node (34cug51p9dw83u2np594z6ej4) is now a manager.
To add a worker to this swarm, run the following command:
docker swarm join --token SWMTKN-1-528o8bfk061miheduvuvnnohhpystvxnwiqfqqf04gou6n1wmz-3ixu6we70ghk69wghfrmo0y6a 192.168.200.81:2377
To add a manager to this swarm, run 'docker swarm join-token manager' and follow the instructions.
[root@docker-m1 ~]#
# 执行以下命令，生成如下命令，运行此命令，添加新的管理节点到集群中。
[root@docker-m1 ~]# docker swarm join-token manager
To add a manager to this swarm, run the following command:
docker swarm join --token SWMTKN-1-528o8bfk061miheduvuvnnohhpystvxnwiqfqqf04gou6n1wmz-1z6k8msio37as0vaa467glefx 192.168.200.81:2377
[root@docker-m1 ~]#🍑 docker-m2配置信息（manager）
# 添加至集群中成为管理节点
[root@docker-m2 ~]# docker swarm join --token SWMTKN-1-528o8bfk061miheduvuvnnohhpystvxnwiqfqqf04gou6n1wmz-1z6k8msio37as0vaa467glefx 192.168.200.81:2377
This node joined a swarm as a manager.🍊 docker-m3配置信息（manager）
# 添加至集群中成为管理节点
[root@docker-m3 ~]# docker swarm join --token SWMTKN-1-528o8bfk061miheduvuvnnohhpystvxnwiqfqqf04gou6n1wmz-1z6k8msio37as0vaa467glefx 192.168.200.81:2377
This node joined a swarm as a manager.🍌 docker-n1配置信息（worker）
# 添加至集群中成为工作节点
[root@docker-n1 ~]# docker swarm join --token SWMTKN-1-528o8bfk061miheduvuvnnohhpystvxnwiqfqqf04gou6n1wmz-3ixu6we70ghk69wghfrmo0y6a 192.168.200.81:2377
This node joined a swarm as a worker.🍐 docker-n1配置信息（worker）
# 添加至集群中成为工作节点
[root@docker-n2 ~]# docker swarm join --token SWMTKN-1-528o8bfk061miheduvuvnnohhpystvxnwiqfqqf04gou6n1wmz-3ixu6we70ghk69wghfrmo0y6a 192.168.200.81:2377
This node joined a swarm as a worker.🔨检查配置情况
查看集群节点状态信息 发现docker-m1是主管理节点，docker-m2、docker-03是备用管理节点； 两个工作节点docker-n1、docker-n2也正常添加至集群中来。
[root@docker-m1 ~]# docker node ls
ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION
34cug51p9dw83u2np594z6ej4 * docker-m1 Ready Active Leader 20.10.14
hwmwdk78u3rx0wwxged87xnun docker-m2 Ready Active Reachable 20.10.14
4q34guc6hp2a5ok0g1zkjojyh docker-m3 Ready Active Reachable 20.10.14
4om9sg56sg09t9whelbrkh8qn docker-n1 Ready Active 20.10.14
xooolkg0g9epddfqqiicywshe docker-n2 Ready Active 20.10.14
[root@docker-m1 ~]#查看整个Docker系统的信息 发现docker swarm集群已经创建完成。 共有五台节点，其中三台为管理节点。
[root@docker-m1 ~]# docker info
Client:
Context: default
Debug Mode: false
Plugins:
app: Docker App (Docker Inc., v0.9.1-beta3)
buildx: Docker Buildx (Docker Inc., v0.8.1-docker)
scan: Docker Scan (Docker Inc., v0.17.0)
Server:
Containers: 0
Running: 0
Paused: 0
Stopped: 0
Images: 0
Server Version: 20.10.14
Storage Driver: overlay2
Backing Filesystem: xfs
Supports d_type: true
Native Overlay Diff: true
userxattr: false
Logging Driver: json-file
Cgroup Driver: systemd
Cgroup Version: 1
Plugins:
Volume: local
Network: bridge host ipvlan macvlan null overlay
Log: awslogs fluentd gcplogs gelf journald json-file local logentries splunk syslog
Swarm: active
NodeID: 34cug51p9dw83u2np594z6ej4
Is Manager: true
ClusterID: v1r77dlrbucscss3tss6edpfv
Managers: 3
Nodes: 5
Default Address Pool: 10.0.0.0/8
SubnetSize: 24
Data Path Port: 4789
Orchestration:
Task History Retention Limit: 5
Raft:
Snapshot Interval: 10000
Number of Old Snapshots to Retain: 0
Heartbeat Tick: 1
Election Tick: 10
Dispatcher:
Heartbeat Period: 5 seconds
CA Configuration:
Expiry Duration: 3 months
Force Rotate: 0
Autolock Managers: false
Root Rotation In Progress: false
Node Address: 192.168.200.81
Manager Addresses:
192.168.200.81:2377
192.168.200.82:2377
192.168.200.83:2377
Runtimes: io.containerd.runc.v2 io.containerd.runtime.v1.linux runc
Default Runtime: runc
Init Binary: docker-init
containerd version: 3df54a852345ae127d1fa3092b95168e4a88e2f8
runc version: v1.0.3-0-gf46b6ba
init version: de40ad0
Security Options:
seccomp
Profile: default
Kernel Version: 3.10.0-1160.62.1.el7.x86_64
Operating System: CentOS Linux 7 (Core)
OSType: linux
Architecture: x86_64
CPUs: 1
Total Memory: 1.934GiB
Name: docker-m1
ID: YIQB:NBLI:MUUN:35IY:ESCK:QPI3:CIZP:U2AS:WV7D:E57G:H7CO:WBWI
Docker Root Dir: /var/lib/docker
Debug Mode: false
Registry: https://index.docker.io/v1/
Labels:
Experimental: false
Insecure Registries:
127.0.0.0/8
Registry Mirrors:
https://w2kavmmf.mirror.aliyuncs.com/
Live Restore Enabled: false
WARNING: IPv4 forwarding is disabled
WARNING: bridge-nf-call-iptables is disabled
WARNING: bridge-nf-call-ip6tables is disabled
[root@docker-m1 ~]#查询集群网络信息 查看到集群中各个节点的IP地址
[root@docker-m1 ~]# docker network ls
NETWORK ID NAME DRIVER SCOPE
a656864d027c bridge bridge local
1359459aa236 docker_gwbridge bridge local
9fd62dbfb07f host host local
6ipkh8htdyiv ingress overlay swarm
27700772b8f7 none null local
[root@docker-m1 ~]# docker network inspect 6ipkh8htdyiv
[
{
"Name": "ingress",
"Id": "6ipkh8htdyivqfqwcdcehu8mb",
"Created": "2022-05-03T18:51:39.108622642+08:00",
"Scope": "swarm",
"Driver": "overlay",
"EnableIPv6": false,
"IPAM": {
"Driver": "default",
"Options": null,
"Config": [
{
"Subnet": "10.0.0.0/24",
"Gateway": "10.0.0.1"
}
]
},
"Internal": false,
"Attachable": false,
"Ingress": true,
"ConfigFrom": {
"Network": ""
},
"ConfigOnly": false,
"Containers": {
"ingress-sbox": {
"Name": "ingress-endpoint",
"EndpointID": "aaa7e77674405f75c1ef8ecf563a5e1745778e9fa698863a243d32121c58dcc5",
"MacAddress": "02:42:0a:00:00:02",
"IPv4Address": "10.0.0.2/24",
"IPv6Address": ""
}
},
"Options": {
"com.docker.network.driver.overlay.vxlanid_list": "4096"
},
"Labels": {},
"Peers": [
{
"Name": "052c54656ba2",
"IP": "192.168.200.81"
},
{
"Name": "e9e6959ea728",
"IP": "192.168.200.82"
},
{
"Name": "08a7107b1250",
"IP": "192.168.200.83"
},
{
"Name": "b0e6bcd74c9f",
"IP": "192.168.200.91"
},
{
"Name": "0d537d72fb87",
"IP": "192.168.200.92"
}
]
}
]
[root@docker-m1 ~]#5️⃣更改角色：将Manager降级为Worker
以docker-m3为例，将docker-m3管理节点由
manager角色变成worker角色。
# 查看帮助命令
[root@docker-m1 ~]# docker node update -h
Flag shorthand -h has been deprecated, please use --help
Usage: docker node update [OPTIONS] NODE
Update a node
Options:
--availability string Availability of the node ("active"|"pause"|"drain")
--label-add list Add or update a node label (key=value)
--label-rm list Remove a node label if exists
--role string Role of the node ("worker"|"manager")
# 执行如下命令，将docker-m3管理节点由manager角色变成worker角色。
[root@docker-m1 ~]# docker node ls
ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION
34cug51p9dw83u2np594z6ej4 * docker-m1 Ready Active Leader 20.10.14
hwmwdk78u3rx0wwxged87xnun docker-m2 Ready Active Reachable 20.10.14
4q34guc6hp2a5ok0g1zkjojyh docker-m3 Ready Active Reachable 20.10.14
4om9sg56sg09t9whelbrkh8qn docker-n1 Ready Active 20.10.14
xooolkg0g9epddfqqiicywshe docker-n2 Ready Active 20.10.14
[root@docker-m1 ~]# docker node update --role worker docker-m3
docker-m3
[root@docker-m1 ~]# docker node ls
ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION
34cug51p9dw83u2np594z6ej4 * docker-m1 Ready Active Leader 20.10.14
hwmwdk78u3rx0wwxged87xnun docker-m2 Ready Active Reachable 20.10.14
4q34guc6hp2a5ok0g1zkjojyh docker-m3 Ready Active 20.10.14
4om9sg56sg09t9whelbrkh8qn docker-n1 Ready Active 20.10.14
xooolkg0g9epddfqqiicywshe docker-n2 Ready Active 20.10.14
[root@docker-m1 ~]#
image-20220503192820220
# 更改之后，查看docker-m3节点详细信息情况
# 发现已经由管理节点变成工作节点
[root@docker-m1 ~]# docker node inspect 4q34guc6hp2a5ok0g1zkjojyh
[
{
"ID": "4q34guc6hp2a5ok0g1zkjojyh",
"Version": {
"Index": 39
},
"CreatedAt": "2022-05-03T10:59:07.69499678Z",
"UpdatedAt": "2022-05-03T11:27:02.178601504Z",
"Spec": {
"Labels": {},
"Role": "worker",
"Availability": "active"
},
"Description": {
"Hostname": "docker-m3",
"Platform": {
"Architecture": "x86_64",
"OS": "linux"
},
"Resources": {
"NanoCPUs": 1000000000,
"MemoryBytes": 2076499968
},
"Engine": {
"EngineVersion": "20.10.14",
"Plugins": [
{
"Type": "Log",
"Name": "awslogs"
},
{
"Type": "Log",
"Name": "fluentd"
},
{
"Type": "Log",
"Name": "gcplogs"
},
{
"Type": "Log",
"Name": "gelf"
},
{
"Type": "Log",
"Name": "journald"
},
{
"Type": "Log",
"Name": "json-file"
},
{
"Type": "Log",
"Name": "local"
},
{
"Type": "Log",
"Name": "logentries"
},
{
"Type": "Log",
"Name": "splunk"
},
{
"Type": "Log",
"Name": "syslog"
},
{
"Type": "Network",
"Name": "bridge"
},
{
"Type": "Network",
"Name": "host"
},
{
"Type": "Network",
"Name": "ipvlan"
},
{
"Type": "Network",
"Name": "macvlan"
},
{
"Type": "Network",
"Name": "null"
},
{
"Type": "Network",
"Name": "overlay"
},
{
"Type": "Volume",
"Name": "local"
}
]
},
"TLSInfo": {
"TrustRoot": "-----BEGIN CERTIFICATE-----\nMIIBaTCCARCgAwIBAgIUYUzIe4mqhjKYxuilbhVByLwzzeMwCgYIKoZIzj0EAwIw\nEzERMA8GA1UEAxMIc3dhcm0tY2EwHhcNMjIwNTAzMTA0NzAwWhcNNDIwNDI4MTA0\nNzAwWjATMREwDwYDVQQDEwhzd2FybS1jYTBZMBMGByqGSM49AgEGCCqGSM49AwEH\nA0IABK8XzVHRM50TgsAxrgXg18ti69dkedf9LsaHm2I2ub9kKzkLsnTV+bIHGOHK\n0/Twi/B9OCFSsozUGDP7qR3/rRmjQjBAMA4GA1UdDwEB/wQEAwIBBjAPBgNVHRMB\nAf8EBTADAQH/MB0GA1UdDgQWBBQ3iXSq5FKnODK2Qqic39A0bg9qjjAKBggqhkjO\nPQQDAgNHADBEAiASv1HdziErIzBJtsVMxfp8zAv0EJ5/eVeIldYdUIVNTQIgXUc3\nakty/iBy5/MhFt9JRRMV1xH1x+Dcf35tNWGH52w=\n-----END CERTIFICATE-----\n",
"CertIssuerSubject": "MBMxETAPBgNVBAMTCHN3YXJtLWNh",
"CertIssuerPublicKey": "MFkwEwYHKoZIzj0CAQYIKoZIzj0DAQcDQgAErxfNUdEznROCwDGuBeDXy2Lr12R51/0uxoebYja5v2QrOQuydNX5sgcY4crT9PCL8H04IVKyjNQYM/upHf+tGQ=="
}
},
"Status": {
"State": "ready",
"Addr": "192.168.200.83"
}
}
]
[root@docker-m1 ~]#6️⃣更改角色：将Worker晋升为Manager
以docker-n2为例，将docker-n2管理节点由
worker角色变成manager角色。
[root@docker-m1 ~]# docker node ls
ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION
34cug51p9dw83u2np594z6ej4 * docker-m1 Ready Active Leader 20.10.14
hwmwdk78u3rx0wwxged87xnun docker-m2 Ready Active Reachable 20.10.14
4q34guc6hp2a5ok0g1zkjojyh docker-m3 Ready Active 20.10.14
4om9sg56sg09t9whelbrkh8qn docker-n1 Ready Active 20.10.14
xooolkg0g9epddfqqiicywshe docker-n2 Ready Active 20.10.14
[root@docker-m1 ~]# docker node update --role manager docker-n2
docker-n2
[root@docker-m1 ~]# docker node ls
ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION
34cug51p9dw83u2np594z6ej4 * docker-m1 Ready Active Leader 20.10.14
hwmwdk78u3rx0wwxged87xnun docker-m2 Ready Active Reachable 20.10.14
4q34guc6hp2a5ok0g1zkjojyh docker-m3 Ready Active 20.10.14
4om9sg56sg09t9whelbrkh8qn docker-n1 Ready Active 20.10.14
xooolkg0g9epddfqqiicywshe docker-n2 Ready Active Reachable 20.10.14
image-20220503193348746
7️⃣移除再添加管理节点
将集群中某台管理节点移除集群，重新获取
管理节点的令牌，再添加至集群中。
# 查看帮助命令
[root@docker-m1 ~]# docker swarm leave --help
Usage: docker swarm leave [OPTIONS]
Leave the swarm
Options:
-f, --force Force this node to leave the swarm, ignoring warnings
[root@docker-m1 ~]#在docker-m3节点执行操作，将docker-m3管理节点移除集群
[root@docker-m3 ~]# docker node ls
ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION
34cug51p9dw83u2np594z6ej4 docker-m1 Ready Active Leader 20.10.14
hwmwdk78u3rx0wwxged87xnun docker-m2 Ready Active Reachable 20.10.14
4q34guc6hp2a5ok0g1zkjojyh * docker-m3 Ready Active Reachable 20.10.14
4om9sg56sg09t9whelbrkh8qn docker-n1 Ready Active 20.10.14
xooolkg0g9epddfqqiicywshe docker-n2 Ready Active 20.10.14
[root@docker-m3 ~]# docker swarm leave -f
Node left the swarm.
image-20220503194926753
在docker-m1管理节点上查看。发现docker-m3管理节点已经关闭
[root@docker-m1 ~]# docker node ls
ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION
34cug51p9dw83u2np594z6ej4 * docker-m1 Ready Active Leader 20.10.14
hwmwdk78u3rx0wwxged87xnun docker-m2 Ready Active Reachable 20.10.14
4q34guc6hp2a5ok0g1zkjojyh docker-m3 Ready Active Reachable 20.10.14
4om9sg56sg09t9whelbrkh8qn docker-n1 Ready Active 20.10.14
xooolkg0g9epddfqqiicywshe docker-n2 Ready Active 20.10.14
[root@docker-m1 ~]# docker node ls
ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION
34cug51p9dw83u2np594z6ej4 * docker-m1 Ready Active Leader 20.10.14
hwmwdk78u3rx0wwxged87xnun docker-m2 Ready Active Reachable 20.10.14
4q34guc6hp2a5ok0g1zkjojyh docker-m3 Down Active Unreachable 20.10.14
4om9sg56sg09t9whelbrkh8qn docker-n1 Ready Active 20.10.14
xooolkg0g9epddfqqiicywshe docker-n2 Ready Active 20.10.14
image-20220503195104316
重新获取添加管理节点的令牌命令。
执行
docker swarm join-token manager命令，获取命令。
[root@docker-m1 ~]# docker swarm join-token manager
To add a manager to this swarm, run the following command:
docker swarm join --token SWMTKN-1-528o8bfk061miheduvuvnnohhpystvxnwiqfqqf04gou6n1wmz-1z6k8msio37as0vaa467glefx 192.168.200.81:2377
[root@docker-m1 ~]#重新将docker-m3管理节点添加到集群中。
[root@docker-m3 ~]# docker swarm join --token SWMTKN-1-528o8bfk061miheduvuvnnohhpystvxnwiqfqqf04gou6n1wmz-1z6k8msio37as0vaa467glefx 192.168.200.81:2377
This node joined a swarm as a manager.
[root@docker-m3 ~]# docker node ls
ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION
34cug51p9dw83u2np594z6ej4 docker-m1 Ready Active Leader 20.10.14
hwmwdk78u3rx0wwxged87xnun docker-m2 Ready Active Reachable 20.10.14
4q34guc6hp2a5ok0g1zkjojyh docker-m3 Down Active Reachable 20.10.14
jvtiwv8eu45ev4qbm0ausivv2 * docker-m3 Ready Active Reachable 20.10.14
4om9sg56sg09t9whelbrkh8qn docker-n1 Ready Active 20.10.14
xooolkg0g9epddfqqiicywshe docker-n2 Ready Active 20.10.14
[root@docker-m3 ~]#8️⃣移除再添加工作节点
将集群中某台工作节点移除集群，重新获取
工作节点的令牌，再添加至集群中。在docker-n1节点执行操作，将docker-n1工作节点移除集群
[root@docker-n1 ~]# docker swarm leave
Node left the swarm.在docker-m1管理节点上查看。发现docker-n1工作节点已经关闭
[root@docker-m1 ~]# docker node ls
ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION
34cug51p9dw83u2np594z6ej4 * docker-m1 Ready Active Leader 20.10.14
hwmwdk78u3rx0wwxged87xnun docker-m2 Ready Active Reachable 20.10.14
4q34guc6hp2a5ok0g1zkjojyh docker-m3 Down Active Reachable 20.10.14
jvtiwv8eu45ev4qbm0ausivv2 docker-m3 Ready Active Reachable 20.10.14
4om9sg56sg09t9whelbrkh8qn docker-n1 Down Active 20.10.14
xooolkg0g9epddfqqiicywshe docker-n2 Ready Active 20.10.14重新获取添加工作节点的令牌命令。
执行
docker swarm join-token worker命令，获取命令。
[root@docker-m1 ~]# docker swarm join-token worker
To add a worker to this swarm, run the following command:
docker swarm join --token SWMTKN-1-528o8bfk061miheduvuvnnohhpystvxnwiqfqqf04gou6n1wmz-3ixu6we70ghk69wghfrmo0y6a 192.168.200.81:2377
[root@docker-m1 ~]#重新将docker-n1工作节点添加到集群中。
[root@docker-n1 ~]# docker swarm join --token SWMTKN-1-528o8bfk061miheduvuvnnohhpystvxnwiqfqqf04gou6n1wmz-3ixu6we70ghk69wghfrmo0y6a 192.168.200.81:2377
This node joined a swarm as a worker.
image-20220503201115357
删除多余的节点。
[root@docker-m1 ~]# docker node rm 34emdxnfc139d6kc4ht2xsp4b 4om9sg56sg09t9whelbrkh8qn
34emdxnfc139d6kc4ht2xsp4b
4om9sg56sg09t9whelbrkh8qn
[root@docker-m1 ~]#
image-20220503201928304
9️⃣在集群中部署NGINX应用测试
🏉 查看service帮助命令
# 查看service 帮助命令
[root@docker-m1 ~]# docker service
Usage: docker service COMMAND
Manage services
Commands:
create Create a new service
inspect Display detailed information on one or more services
logs Fetch the logs of a service or task
ls List services
ps List the tasks of one or more services
rm Remove one or more services
rollback Revert changes to a service's configuration
scale Scale one or multiple replicated services
update Update a service
Run 'docker service COMMAND --help' for more information on a command.
[root@docker-m1 ~]#⚾️ 创建NGINX服务
# 1、搜索镜像
[root@docker-m1 ~]# docker search nginx
NAME DESCRIPTION STARS OFFICIAL AUTOMATED
nginx Official build of Nginx. 16720 [OK]
bitnami/nginx Bitnami nginx Docker Image 124 [OK]
ubuntu/nginx Nginx, a high-performance reverse proxy & we… 46
bitnami/nginx-ingress-controller Bitnami Docker Image for NGINX Ingress Contr… 17 [OK]
rancher/nginx-ingress-controller 10
ibmcom/nginx-ingress-controller Docker Image for IBM Cloud Private-CE (Commu… 4
bitnami/nginx-ldap-auth-daemon 3
bitnami/nginx-exporter 2
rancher/nginx-ingress-controller-defaultbackend 2
circleci/nginx This image is for internal use 2
vmware/nginx 2
vmware/nginx-photon 1
bitnami/nginx-intel 1
rancher/nginx 1
wallarm/nginx-ingress-controller Kubernetes Ingress Controller with Wallarm e… 1
rancher/nginx-conf 0
rancher/nginx-ssl 0
ibmcom/nginx-ppc64le Docker image for nginx-ppc64le 0
rancher/nginx-ingress-controller-amd64 0
continuumio/nginx-ingress-ws 0
ibmcom/nginx-ingress-controller-ppc64le Docker Image for IBM Cloud Private-CE (Commu… 0
kasmweb/nginx An Nginx image based off nginx:alpine and in… 0
rancher/nginx-proxy 0
wallarm/nginx-ingress-controller-amd64 Kubernetes Ingress Controller with Wallarm e… 0
ibmcom/nginx-ingress-controller-amd64 0
[root@docker-m1 ~]#
# 2、下载镜像 pull
[root@docker-m1 ~]# docker pull nginx
Using default tag: latest
latest: Pulling from library/nginx
a2abf6c4d29d: Pull complete
a9edb18cadd1: Pull complete
589b7251471a: Pull complete
186b1aaa4aa6: Pull complete
b4df32aa5a72: Pull complete
a0bcbecc962e: Pull complete
Digest: sha256:0d17b565c37bcbd895e9d92315a05c1c3c9a29f762b011a10c54a66cd53c9b31
Status: Downloaded newer image for nginx:latest
docker.io/library/nginx:latest
[root@docker-m1 ~]#
# 3、查看镜像
[root@docker-m1 ~]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
nginx latest 605c77e624dd 4 months ago 141MB
# 4、使用service命令启动Nginx
docker run 容器启动，不具有扩缩容器。
docker service 服务启动，具有扩缩容，滚动更新。
[root@docker-m1 ~]# docker service create -p 8888:80 --name xybdiy-nginx nginx
ngoi21hcjan5qoro9amd7n1jh
overall progress: 1 out of 1 tasks
1/1: running [==================================================>]
verify: Service converged
[root@docker-m1 ~]#🏀 查看NGINX服务
发现nginx服务被部署到了docker-n2 工作节点上。随机分布。
# 查看NGINX服务
[root@docker-m1 ~]# docker service ls
ID NAME MODE REPLICAS IMAGE PORTS
ngoi21hcjan5 xybdiy-nginx replicated 1/1 nginx:latest *:8888->80/tcp
[root@docker-m1 ~]# docker service ps xybdiy-nginx
ID NAME IMAGE NODE DESIRED STATE CURRENT STATE ERROR PORTS
w5azhbc3xrta xybdiy-nginx.1 nginx:latest docker-n2 Running Running 20 minutes ago
[root@docker-m1 ~]#
[root@docker-n2 ~]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
d65e6e8bf5fd nginx:latest "/docker-entrypoint.…" 28 minutes ago Up 28 minutes 80/tcp xybdiy-nginx.1.w5azhbc3xrtafxvftkgh7x9vk
[root@docker-n2 ~]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
d65e6e8bf5fd nginx:latest "/docker-entrypoint.…" 28 minutes ago Up 28 minutes 80/tcp xybdiy-nginx.1.w5azhbc3xrtafxvftkgh7x9vk
# 查看NGNIX服务详细信息
[root@docker-m1 ~]# docker service inspect xybdiy-nginx
[
{
"ID": "ngoi21hcjan5qoro9amd7n1jh",
"Version": {
"Index": 34
},
"CreatedAt": "2022-05-03T12:38:22.234486876Z",
"UpdatedAt": "2022-05-03T12:38:22.238903441Z",
"Spec": {
"Name": "xybdiy-nginx",
"Labels": {},
"TaskTemplate": {
"ContainerSpec": {
"Image": "nginx:latest@sha256:0d17b565c37bcbd895e9d92315a05c1c3c9a29f762b011a10c54a66cd53c9b31",
"Init": false,
"StopGracePeriod": 10000000000,
"DNSConfig": {},
"Isolation": "default"
},
"Resources": {
"Limits": {},
"Reservations": {}
},
"RestartPolicy": {
"Condition": "any",
"Delay": 5000000000,
"MaxAttempts": 0
},
"Placement": {
"Platforms": [
{
"Architecture": "amd64",
"OS": "linux"
},
{
"OS": "linux"
},
{
"OS": "linux"
},
{
"Architecture": "arm64",
"OS": "linux"
},
{
"Architecture": "386",
"OS": "linux"
},
{
"Architecture": "mips64le",
"OS": "linux"
},
{
"Architecture": "ppc64le",
"OS": "linux"
},
{
"Architecture": "s390x",
"OS": "linux"
}
]
},
"ForceUpdate": 0,
"Runtime": "container"
},
"Mode": {
"Replicated": {
"Replicas": 1
}
},
"UpdateConfig": {
"Parallelism": 1,
"FailureAction": "pause",
"Monitor": 5000000000,
"MaxFailureRatio": 0,
"Order": "stop-first"
},
"RollbackConfig": {
"Parallelism": 1,
"FailureAction": "pause",
"Monitor": 5000000000,
"MaxFailureRatio": 0,
"Order": "stop-first"
},
"EndpointSpec": {
"Mode": "vip",
"Ports": [
{
"Protocol": "tcp",
"TargetPort": 80,
"PublishedPort": 8888,
"PublishMode": "ingress"
}
]
}
},
"Endpoint": {
"Spec": {
"Mode": "vip",
"Ports": [
{
"Protocol": "tcp",
"TargetPort": 80,
"PublishedPort": 8888,
"PublishMode": "ingress"
}
]
},
"Ports": [
{
"Protocol": "tcp",
"TargetPort": 80,
"PublishedPort": 8888,
"PublishMode": "ingress"
}
],
"VirtualIPs": [
{
"NetworkID": "uhjulzndxnofx63e2bb3r8iq9",
"Addr": "10.0.0.7/24"
}
]
}
}
]
[root@docker-m1 ~]#🏈 创建多个NGINX服务副本
动态扩容，缓解主机被访问的压力。
查看update帮助命令
[root@docker-m1 ~]# docker service update --help
Usage: docker service update [OPTIONS] SERVICE
Update a service
Options:
......
-q, --quiet Suppress progress output
--read-only Mount the container's root filesystem as read only
--replicas uint Number of tasks
--replicas-max-per-node uint Maximum number of tasks per node (default 0 = unlimited)
......创建多个NGINX服务副本
[root@docker-m1 ~]# docker service update --replicas 2 xybdiy-nginx
xybdiy-nginx
overall progress: 2 out of 2 tasks
1/2: running [==================================================>]
2/2: running [==================================================>]
verify: Service converged
[root@docker-m1 ~]#查看创建的NGINX服务副本
[root@docker-m1 ~]# docker service ls
ID NAME MODE REPLICAS IMAGE PORTS
ngoi21hcjan5 xybdiy-nginx replicated 2/2 nginx:latest *:8888->80/tcp
[root@docker-m1 ~]# docker service ps xybdiy-nginx
ID NAME IMAGE NODE DESIRED STATE CURRENT STATE ERROR PORTS
w5azhbc3xrta xybdiy-nginx.1 nginx:latest docker-n2 Running Running 36 minutes ago
rgtjq163z9ch xybdiy-nginx.2 nginx:latest docker-m1 Running Running 33 seconds ago测试访问NGINX服务
http://192.168.200.81:8888/
http://192.168.200.91:8888/
image-20220503212643556
🏐 模拟故障情况
当docker-m1管理主机发生宕机时，查看NGINX服务是否能够正常运行访问。
# 关闭docker-m1节点
[root@docker-m1 ~]# shutdown -h now
Connection to 192.168.200.81 closed by remote host.
Connection to 192.168.200.81 closed.查看节点状态
[root@docker-m2 ~]# docker node ls
ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION
75dxq2qmzr2bv4tkg20gh0syr docker-m1 Down Active Unreachable 20.10.14
l2is4spmgd4b5xmmxwo3jvuf4 * docker-m2 Ready Active Reachable 20.10.14
u89a2ie2buxuc5bsew4a2wrpo docker-m3 Ready Active Leader 20.10.14
aon2nakgk87rds5pque74itw4 docker-n1 Ready Active 20.10.14
ljdb9d3xkzjruuxsxrpmuei7s docker-n2 Ready Active 20.10.14
[root@docker-m2 ~]#查看服务状态
[root@docker-m2 ~]# docker service ls
ID NAME MODE REPLICAS IMAGE PORTS
ngoi21hcjan5 xybdiy-nginx replicated 3/2 nginx:latest *:8888->80/tcp
[root@docker-m2 ~]# docker service ps xybdiy-nginx
ID NAME IMAGE NODE DESIRED STATE CURRENT STATE ERROR PORTS
w5azhbc3xrta xybdiy-nginx.1 nginx:latest docker-n2 Running Running 2 minutes ago
tteb16dnir6u xybdiy-nginx.2 nginx:latest docker-n1 Running Running 2 minutes ago
rgtjq163z9ch \_ xybdiy-nginx.2 nginx:latest docker-m1 Shutdown Running 17 minutes ago
[root@docker-m2 ~]#
image-20220503213724900
🔟参 考 链 接
本文参与 腾讯云自媒体同步曝光计划，分享自作者个人站点/博客。
原始发表：2022-05-04，如有侵权请联系 cloudcommunity@tencent.com 删除
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