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SpringCloud微服务实战——搭建企业级开发框架（三十五）：SpringCloud + Docker + k8s实现微服务集群打包部署-集群环境部署
作者：我家小花儿 | 2024-03-02 17:42:22
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springcloud微服务实战——搭建企业级开发框架
一、集群环境规划配置
生产环境不要使用一主多从，要使用多主多从。这里使用三台主机进行测试一台Master（172.16.20.111），两台Node（172.16.20.112和172.16.20.113）
1、设置主机名
CentOS7安装完成之后，设置固定ip，三台主机做相同设置
vi /etc/sysconfig/network-scripts/ifcfg-ens33
#在最下面ONBOOT改为yes，新增固定地址IPADDR，172.16.20.111，172.16.20.112，172.16.20.113
ONBOOT=yes
IPADDR=172.16.20.111
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三台主机ip分别设置好之后，修改hosts文件，设置主机名
#master 机器上执行
hostnamectl set-hostname master
#node1 机器上执行
hostnamectl set-hostname node1
#node2 机器上执行
hostnamectl set-hostname node2
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vi /etc/hosts
172.16.20.111 master
172.16.20.112 node1
172.16.20.113 node2
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2、时间同步
开启chronyd服务
systemctl start chronyd
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设置开机启动
systemctl enable chronyd
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测试
date
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3、禁用firewalld和iptables（测试环境）
systemctl stop firewalld
systemctl disable firewalld
systemctl stop iptables
systemctl disable iptables
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4、禁用selinux
vi /etc/selinux/config
SELINUX=disabled
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5、禁用swap分区
注释掉 /dev/mapper/centos-swap swap
vi /etc/fstab
# 注释掉
# /dev/mapper/centos-swap swap
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6、修改linux的内核参数
vi /etc/sysctl.d/kubernetes.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
#重新加载配置
sysctl -p
#加载网桥过滤模块
modprobe br_netfilter
#查看网桥过滤模块
lsmod | grep br_netfilter
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7、配置ipvs
安装ipset和ipvsadm
yum install ipset ipvsadm -y
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添加需要加载的模块（整个执行）
cat <<EOF> /etc/sysconfig/modules/ipvs.modules
#!/bin/bash
modprobe -- ip_vs
modprobe -- ip_vs_rr
modprobe -- ip_vs_wrr
modprobe -- ip_vs_sh
modprobe -- nf_conntrack_ipv4
EOF
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添加执行权限
chmod +x /etc/sysconfig/modules/ipvs.modules
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执行脚本
/bin/bash /etc/sysconfig/modules/ipvs.modules
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查看是否加载成功
lsmod | grep -e -ip_vs -e nf_conntrack_ipv4
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以上完成设置之后，一定要执行重启使配置生效
reboot
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二、Docker环境安装配置
1、安装依赖
docker依赖于系统的一些必要的工具:
yum install -y yum-utils device-mapper-persistent-data lvm2
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2、添加软件源
yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
yum clean all
yum makecache fast
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3、安装docker-ce
#查看可以安装的docker版本
yum list docker-ce --showduplicates
#选择安装需要的版本，直接安装最新版，可以执行 yum -y install docker-ce
yum install --setopt=obsoletes=0 docker-ce-19.03.13-3.el7 -y
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4、启动服务
#通过systemctl启动服务
systemctl start docker
#通过systemctl设置开机启动
systemctl enable docker
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5、查看安装版本
启动服务使用docker version查看一下当前的版本:
docker version
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6、 配置镜像加速
通过修改daemon配置文件/etc/docker/daemon.json加速，如果使用k8s，这里一定要设置 “exec-opts”: [“native.cgroupdriver=systemd”]。 “insecure-registries” : [“172.16.20.175”]配置是可以通过http从我们的harbor上拉取数据。
vi /etc/docker/daemon.json
{
"exec-opts": ["native.cgroupdriver=systemd"],
"log-driver": "json-file",
"log-opts": {
"max-size": "100m"
},
"registry-mirrors": ["https://eiov0s1n.mirror.aliyuncs.com"],
"insecure-registries" : ["172.16.20.175"]
}
sudo systemctl daemon-reload && sudo systemctl restart docker
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7、安装docker-compose
如果网速太慢，可以直接到 https://github.com/docker/compose/releases 选择对应的版本进行下载，然后上传到服务器/usr/local/bin/目录。
sudo curl -L "https://github.com/docker/compose/releases/download/v2.0.1/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose
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注意：（非必须设置）开启Docker远程访问 (这里不是必须开启的，生产环境不要开启，开启之后，可以在开发环境直连docker)
vi /lib/systemd/system/docker.service
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修改ExecStart，添加 -H tcp://0.0.0.0:2375
ExecStart=/usr/bin/dockerd -H fd:// -H tcp://0.0.0.0:2375 --containerd=/run/containerd/containerd.sock
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修改后执行以下命令：
systemctl daemon-reload && service docker restart
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测试是否能够连得上：
curl http://localhost:2375/version
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三、Harbor私有镜像仓库安装配置（重新设置一台服务器172.16.20.175，不要放在K8S的主从服务器上）
首先需要按照前面的步骤，在环境上安装Docker，才能安装Harbor。
1、选择合适的版本进行下载，下载地址：
https://github.com/goharbor/harbor/releases
2、解压
tar -zxf harbor-offline-installer-v2.2.4.tgz
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3、配置
cd harbor
mv harbor.yml.tmpl harbor.yml
vi harbor.yml
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4、将hostname改为当前服务器地址，注释掉https配置。
......
# The IP address or hostname to access admin UI and registry service.
# DO NOT use localhost or 127.0.0.1, because Harbor needs to be accessed by external clients.
hostname: 172.16.20.175
# http related config
http:
# port for http, default is 80. If https enabled, this port will redirect to https port
port: 80
# https related config
#https:
# https port for harbor, default is 443
# port: 443
# The path of cert and key files for nginx
# certificate: /your/certificate/path
# private_key: /your/private/key/path
......
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5、执行安装命令
mkdir /var/log/harbor/
./install.sh
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6、查看安装是否成功
[root@localhost harbor]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
de1b702759e7 goharbor/harbor-jobservice:v2.2.4 "/harbor/entrypoint.…" 13 seconds ago Up 9 seconds (health: starting) harbor-jobservice
55b465d07157 goharbor/nginx-photon:v2.2.4 "nginx -g 'daemon of…" 13 seconds ago Up 9 seconds (health: starting) 0.0.0.0:80->8080/tcp, :::80->8080/tcp nginx
d52f5557fa73 goharbor/harbor-core:v2.2.4 "/harbor/entrypoint.…" 13 seconds ago Up 10 seconds (health: starting) harbor-core
4ba09aded494 goharbor/harbor-db:v2.2.4 "/docker-entrypoint.…" 13 seconds ago Up 11 seconds (health: starting) harbor-db
647f6f46e029 goharbor/harbor-portal:v2.2.4 "nginx -g 'daemon of…" 13 seconds ago Up 11 seconds (health: starting) harbor-portal
70251c4e234f goharbor/redis-photon:v2.2.4 "redis-server /etc/r…" 13 seconds ago Up 11 seconds (health: starting) redis
21a5c408afff goharbor/harbor-registryctl:v2.2.4 "/home/harbor/start.…" 13 seconds ago Up 11 seconds (health: starting) registryctl
b0937800f88b goharbor/registry-photon:v2.2.4 "/home/harbor/entryp…" 13 seconds ago Up 11 seconds (health: starting) registry
d899e377e02b goharbor/harbor-log:v2.2.4 "/bin/sh -c /usr/loc…" 13 seconds ago Up 12 seconds (health: starting) 127.0.0.1:1514->10514/tcp harbor-log
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7、harbor的启动停止命令
docker-compose down #停止
docker-compose up -d #启动
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8、访问harbor管理台地址，上面配置的hostname, http://172.16.20.175 （默认用户名/密码： admin/Harbor12345）：
三、Kubernetes安装配置
1、切换镜像源
cat <<EOF > /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
enabled=1
gpgcheck=1
repo_gpgcheck=1
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF
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2、安装kubeadm、kubelet和kubectl
yum install -y kubelet kubeadm kubectl
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3、配置kubelet的cgroup
vi /etc/sysconfig/kubelet
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KUBELET_CGROUP_ARGS="--cgroup-driver=systemd"
KUBE_PROXY_MODE="ipvs"
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4、启动kubelet并设置开机启动
systemctl start kubelet && systemctl enable kubelet
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5、初始化k8s集群（只在Master执行）
初始化
kubeadm init --kubernetes-version=v1.22.3 \
--apiserver-advertise-address=172.16.20.111 \
--image-repository registry.aliyuncs.com/google_containers \
--service-cidr=10.20.0.0/16 --pod-network-cidr=10.222.0.0/16
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创建必要文件
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
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6、加入集群（只在Node节点执行）
在Node节点（172.16.20.112和172.16.20.113）运行上一步初始化成功后显示的加入集群命令
kubeadm join 172.16.20.111:6443 --token fgf380.einr7if1eb838mpe \
--discovery-token-ca-cert-hash sha256:fa5a6a2ff8996b09effbf599aac70505b49f35c5bca610d6b5511886383878f7
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在Master查看集群状态
[root@master ~]# kubectl get nodes
NAME STATUS ROLES AGE VERSION
master NotReady control-plane,master 2m54s v1.22.3
node1 NotReady <none> 68s v1.22.3
node2 NotReady <none> 30s v1.22.3
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7、安装网络插件（只在Master执行）
wget https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
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镜像加速：修改kube-flannel.yml文件，将quay.io/coreos/flannel:v0.15.0 改为 quay.mirrors.ustc.edu.cn/coreos/flannel:v0.15.0
执行安装
kubectl apply -f kube-flannel.yml
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再次查看集群状态,（需要等待一段时间大概1-2分钟）发现STATUS都是Ready。
[root@master ~]# kubectl get nodes
NAME STATUS ROLES AGE VERSION
master Ready control-plane,master 42m v1.22.3
node1 Ready <none> 40m v1.22.3
node2 Ready <none> 39m v1.22.3
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8、集群测试
使用kubectl安装部署nginx服务
kubectl create deployment nginx --image=nginx --replicas=1
kubectl expose deploy nginx --port=80 --target-port=80 --type=NodePort
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查看服务
[root@master ~]# kubectl get pod,svc
NAME READY STATUS RESTARTS AGE
pod/nginx-6799fc88d8-z5tm8 1/1 Running 0 26s
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/kubernetes ClusterIP 10.20.0.1 <none> 443/TCP 68m
service/nginx NodePort 10.20.17.199 <none> 80:32605/TCP 9s
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服务显示service/nginx的PORT(S)为80:32605/TCP， 我们在浏览器中访问主从地址的32605端口，查看nginx是否运行
http://172.16.20.111:32605/
http://172.16.20.112:32605/
http://172.16.20.113:32605/
成功后显示如下界面：
9、安装Kubernetes管理界面Dashboard
Kubernetes可以通过命令行工具kubectl完成所需要的操作，同时也提供了方便操作的管理控制界面，用户可以用 Kubernetes Dashboard 部署容器化的应用、监控应用的状态、执行故障排查任务以及管理 Kubernetes 各种资源。
1、下载安装配置文件recommended.yaml ,注意在https://github.com/kubernetes/dashboard/releases查看Kubernetes 和 Kubernetes Dashboard的版本对应关系。
# 执行下载
wget https://raw.githubusercontent.com/kubernetes/dashboard/v2.4.0/aio/deploy/recommended.yaml
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2、修改配置信息，在service下添加 type: NodePort和nodePort: 30010
vi recommended.yaml
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......
kind: Service
apiVersion: v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
spec:
# 新增
nodeName: Master
# 新增
type: NodePort
ports:
- port: 443
targetPort: 8443
# 新增
nodePort: 30010
......
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注释掉以下信息，否则不能安装到master服务器
# Comment the following tolerations if Dashboard must not be deployed on master
#tolerations:
# - key: node-role.kubernetes.io/master
# effect: NoSchedule
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新增nodeName: master，安装到master服务器
......
kind: Deployment
apiVersion: apps/v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
spec:
replicas: 1
revisionHistoryLimit: 10
selector:
matchLabels:
k8s-app: kubernetes-dashboard
template:
metadata:
labels:
k8s-app: kubernetes-dashboard
spec:
nodeName: master
containers:
- name: kubernetes-dashboard
image: kubernetesui/dashboard:v2.4.0
imagePullPolicy: Always
......
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3、执行安装部署命令
kubectl apply -f recommended.yaml
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4、查看运行状态命令，可以看到service/kubernetes-dashboard 已运行，访问端口为30010
[root@master ~]# kubectl get pod,svc -n kubernetes-dashboard
NAME READY STATUS RESTARTS AGE
pod/dashboard-metrics-scraper-c45b7869d-6k87n 0/1 ContainerCreating 0 10s
pod/kubernetes-dashboard-576cb95f94-zfvc9 0/1 ContainerCreating 0 10s
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/dashboard-metrics-scraper ClusterIP 10.20.222.83 <none> 8000/TCP 10s
service/kubernetes-dashboard NodePort 10.20.201.182 <none> 443:30010/TCP 10s
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5、创建访问Kubernetes Dashboard的账号
kubectl create serviceaccount dashboard-admin -n kubernetes-dashboard
kubectl create clusterrolebinding dashboard-admin-rb --clusterrole=cluster-admin --serviceaccount=kubernetes-dashboard:dashboard-admin
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6、查询访问Kubernetes Dashboard的token
[root@master ~]# kubectl get secrets -n kubernetes-dashboard | grep dashboard-admin
dashboard-admin-token-84gg6 kubernetes.io/service-account-token 3 64s
[root@master ~]# kubectl describe secrets dashboard-admin-token-84gg6 -n kubernetes-dashboard
Name: dashboard-admin-token-84gg6
Namespace: kubernetes-dashboard
Labels: <none>
Annotations: kubernetes.io/service-account.name: dashboard-admin
kubernetes.io/service-account.uid: 2d93a589-6b0b-4ed6-adc3-9a2eeb5d1311
Type: kubernetes.io/service-account-token
Data
====
ca.crt: 1099 bytes
namespace: 20 bytes
token: eyJhbGciOiJSUzI1NiIsImtpZCI6ImRmbVVfRy15QzdfUUF4ZmFuREZMc3dvd0IxQ3ItZm5SdHVZRVhXV3JpZGcifQ.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.xsDBLeZdn7IO0Btpb4LlCD1RQ2VYsXXPa-bir91VXIqRrL1BewYAyFfZtxU-8peU8KebaJiRIaUeF813x6WbGG9QKynL1fTARN5XoH-arkBTVlcjHQ5GBziLDE-KU255veVqORF7J5XtB38Ke2n2pi8tnnUUS_bIJpMTF1s-hV0aLlqUzt3PauPmDshtoerz4iafWK0u9oWBASQDPPoE8IWYU1KmSkUNtoGzf0c9vpdlUw4j0UZE4-zSoMF_XkrfQDLD32LrG56Wgpr6E8SeipKRfgXvx7ExD54b8Lq9DyAltr_nQVvRicIEiQGdbeCu9dwzGyhg-cDucULTx7TUgA
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7、在页面访问Kubernetes Dashboard，注意一定要使用https，https://172.16.20.111:30010 ，输入token登录成功后就进入了后台管理界面，原先命令行的操作就可以在管理界面进操作了
四、GitLab安装配置
GitLab是可以部署在本地环境的Git项目仓库，这里介绍如何安装使用，在开发过程中我们将代码上传到本地仓库，然后Jenkins从仓库中拉取代码打包部署。
1、下载需要的安装包，下载地址 https://packages.gitlab.com/gitlab/gitlab-ce/ ，我们这里下载最新版gitlab-ce-14.4.1-ce.0.el7.x86_64.rpm，当然在项目开发中需要根据自己的需求选择稳定版本
2、点击需要安装的版本，会提示安装命令，按照上面提示的命令进行安装即可
curl -s https://packages.gitlab.com/install/repositories/gitlab/gitlab-ce/script.rpm.sh | sudo bash
sudo yum install gitlab-ce-14.4.1-ce.0.el7.x86_64
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3、配置并启动Gitlab
gitlab-ctl reconfigure
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4、查看Gitlab状态
gitlab-ctl status
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5、设置初始登录密码
cd /opt/gitlab/bin
sudo ./gitlab-rails console
# 进入控制台之后执行
u=User.where(id:1).first
u.password='root1234'
u.password_confirmation='root1234'
u.save!
quit
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5、浏览器访问服务器地址，默认是80端口，所以直接访问即可，在登录界面输入我们上面设置的密码root/root1234。
6、设置界面为中文
User Settings ----> Preferences ----> Language ----> 简体中文 ----> 刷新界面
7、Gitlab常用命令
gitlab-ctl stop
gitlab-ctl start
gitlab-ctl restart
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五、使用Docker安装配置Jenkins+Sonar（代码质量检查）
实际项目应用开发过程中，单独为SpringCloud工程部署一台运维服务器，不要安装在Kubernetes服务器上，同样按照上面的步骤安装docker和docker-compose，然后使用docker-compose构建Jenkins和Sonar。
1、创建宿主机挂载目录并赋权
mkdir -p /data/docker/ci/nexus /data/docker/ci/jenkins/lib /data/docker/ci/jenkins/home /data/docker/ci/sonarqube /data/docker/ci/postgresql
chmod -R 777 /data/docker/ci/nexus /data/docker/ci/jenkins/lib /data/docker/ci/jenkins/home /data/docker/ci/sonarqube /data/docker/ci/postgresql
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2、新建Jenkins+Sonar安装脚本jenkins-compose.yml脚本，这里的Jenkins使用的是Docker官方推荐的镜像jenkinsci/blueocean，在实际使用中发现，即使不修改插件下载地址，也可以下载插件，所以比较推荐这个镜像。
version: '3'
networks:
prodnetwork:
driver: bridge
services:
sonardb:
image: postgres:12.2
restart: always
ports:
- "5433:5432"
networks:
- prodnetwork
volumes:
- /data/docker/ci/postgresql:/var/lib/postgresql
environment:
- POSTGRES_USER=sonar
- POSTGRES_PASSWORD=sonar
sonar:
image: sonarqube:8.2-community
restart: always
ports:
- "19000:9000"
- "19092:9092"
networks:
- prodnetwork
depends_on:
- sonardb
volumes:
- /data/docker/ci/sonarqube/conf:/opt/sonarqube/conf
- /data/docker/ci/sonarqube/data:/opt/sonarqube/data
- /data/docker/ci/sonarqube/logs:/opt/sonarqube/logs
- /data/docker/ci/sonarqube/extension:/opt/sonarqube/extensions
- /data/docker/ci/sonarqube/bundled-plugins:/opt/sonarqube/lib/bundled-plugins
environment:
- TZ=Asia/Shanghai
- SONARQUBE_JDBC_URL=jdbc:postgresql://sonardb:5432/sonar
- SONARQUBE_JDBC_USERNAME=sonar
- SONARQUBE_JDBC_PASSWORD=sonar
nexus:
image: sonatype/nexus3
restart: always
ports:
- "18081:8081"
networks:
- prodnetwork
volumes:
- /data/docker/ci/nexus:/nexus-data
jenkins:
image: jenkinsci/blueocean
user: root
restart: always
ports:
- "18080:8080"
networks:
- prodnetwork
volumes:
- /var/run/docker.sock:/var/run/docker.sock
- /etc/localtime:/etc/localtime:ro
- $HOME/.ssh:/root/.ssh
- /data/docker/ci/jenkins/lib:/var/lib/jenkins/
- /usr/bin/docker:/usr/bin/docker
- /data/docker/ci/jenkins/home:/var/jenkins_home
depends_on:
- nexus
- sonar
environment:
- NEXUS_PORT=8081
- SONAR_PORT=9000
- SONAR_DB_PORT=5432
cap_add:
- ALL
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3、在jenkins-compose.yml文件所在目录下执行安装启动命令
docker-compose -f jenkins-compose.yml up -d
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安装成功后，展示以下信息
[+] Running 5/5
⠿ Network root_prodnetwork Created 0.0s
⠿ Container root-sonardb-1 Started 1.0s
⠿ Container root-nexus-1 Started 1.0s
⠿ Container root-sonar-1 Started 2.1s
⠿ Container root-jenkins-1 Started 4.2s
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4、查看服务的启动情况
[root@localhost ~]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
52779025a83e jenkins/jenkins:lts "/sbin/tini -- /usr/…" 4 minutes ago Up 3 minutes 50000/tcp, 0.0.0.0:18080->8080/tcp, :::18080->8080/tcp root-jenkins-1
2f5fbc25de58 sonarqube:8.2-community "./bin/run.sh" 4 minutes ago Restarting (0) 21 seconds ago root-sonar-1
4248a8ba71d8 sonatype/nexus3 "sh -c ${SONATYPE_DI…" 4 minutes ago Up 4 minutes 0.0.0.0:18081->8081/tcp, :::18081->8081/tcp root-nexus-1
719623c4206b postgres:12.2 "docker-entrypoint.s…" 4 minutes ago Up 4 minutes 0.0.0.0:5433->5432/tcp, :::5433->5432/tcp root-sonardb-1
2b6852a57cc2 goharbor/harbor-jobservice:v2.2.4 "/harbor/entrypoint.…" 5 days ago Up 29 seconds (health: starting) harbor-jobservice
ebf2dea994fb goharbor/nginx-photon:v2.2.4 "nginx -g 'daemon of…" 5 days ago Restarting (1) 46 seconds ago nginx
adfaa287f23b goharbor/harbor-registryctl:v2.2.4 "/home/harbor/start.…" 5 days ago Up 7 minutes (healthy) registryctl
8e5bcca3aaa1 goharbor/harbor-db:v2.2.4 "/docker-entrypoint.…" 5 days ago Up 7 minutes (healthy) harbor-db
ebe845e020dc goharbor/harbor-portal:v2.2.4 "nginx -g 'daemon of…" 5 days ago Up 7 minutes (healthy) harbor-portal
68263dea2cfc goharbor/harbor-log:v2.2.4 "/bin/sh -c /usr/loc…" 5 days ago Up 7 minutes (healthy) 127.0.0.1:1514->10514/tcp harbor-log
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我们发现 jenkins端口映射到了18081 ，但是sonarqube没有启动，查看日志发现sonarqube文件夹没有权限访问，日志上显示容器目录的权限不够，但实际是宿主机的权限不够，这里需要给宿主机赋予权限
chmod 777 /data/docker/ci/sonarqube/logs
chmod 777 /data/docker/ci/sonarqube/bundled-plugins
chmod 777 /data/docker/ci/sonarqube/conf
chmod 777 /data/docker/ci/sonarqube/data
chmod 777 /data/docker/ci/sonarqube/extension
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执行重启命令
docker-compose -f jenkins-compose.yml restart
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再次使用命令查看服务启动情况，就可以看到jenkins映射到18081，sonarqube映射到19000端口，我们在浏览器就可以访问jenkins和sonarqube的后台界面了
5、Jenkins登录初始化
从Jenkins的登录界面提示可以知道，默认密码路径为/var/jenkins_home/secrets/initialAdminPassword，这里显示的事Docker容器内部的路径，实际对应我们上面服务器设置的路径为/data/docker/ci/jenkins/home/secrets/initialAdminPassword ,我们打开这个文件并输入密码就可以进入Jenkins管理界面
6、选择安装推荐插件，安装完成之后，根据提示进行下一步操作，直到进入管理后台界面
###备注:
- sonarqube默认用户名密码: admin/admin
- 卸载命令：docker-compose -f jenkins-compose.yml down -v
六、Jenkins自动打包部署配置
项目部署有多种方式，从最原始的可运行jar包直接部署到JDK环境下运行，到将可运行的jar包放到docker容器中运行，再到现在比较流行的把可运行的jar包和docker放到k8s的pod环境中运行。每一种新的部署方式都是对原有部署方式的改进和优化，这里不着重介绍每种方式的优缺点，只简单说明一下使用Kubernetes 的原因：Kubernetes 主要提供弹性伸缩、服务发现、自我修复，版本回退、负载均衡、存储编排等功能。
日常开发部署过程中的基本步骤如下：
- 提交代码到gitlab代码仓库
- gitlab通过webhook触发Jenkins构建代码质量检查
- Jenkins需通过手动触发，来拉取代码、编译、打包、构建Docker镜像、发布到私有镜像仓库Harbor、执行kubectl命令从Harbor拉取Docker镜像部署至k8s
1、安装Kubernetes plugin插件、Git Parameter插件（用于流水线参数化构建）、
Extended Choice Parameter
插件（用于多个微服务时，选择需要构建的微服务）、 Pipeline Utility Steps插件（用于读取maven工程的.yaml、pom.xml等）和 Kubernetes Continuous Deploy（一定要使用1.0版本，从官网下载然后上传） ，Jenkins --> 系统管理 --> 插件管理 --> 可选插件 --> Kubernetes plugin /Git Parameter/Extended Choice Parameter ,选中后点击Install without restart按钮进行安装
Blueocean目前还不支持Git Parameter插件和Extended Choice Parameter插件，Git Parameter是通过Git Plugin读取分支信息，我们这里使用Pipeline script而不是使用Pipeline script from SCM，是因为我们不希望把构建信息放到代码里，这样做可以开发和部署分离。
2、配置Kubernetes plugin插件，Jenkins --> 系统管理 --> 节点管理 --> Configure Clouds --> Add a new cloud -> Kubernetes
3、增加kubernetes证书
cat ~/.kube/config
# 以下步骤暂不使用，将certificate-authority-data、client-certificate-data、client-key-data替换为~/.kube/config里面具体的值
#echo certificate-authority-data | base64 -d > ca.crt
#echo client-certificate-data | base64 -d > client.crt
#echo client-key-data | base64 -d > client.key
# 执行以下命令，自己设置密码
#openssl pkcs12 -export -out cert.pfx -inkey client.key -in client.crt -certfile ca.crt
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系统管理–>凭据–>系统–>全局凭据
4、添加访问Kubernetes的凭据信息，这里填入上面登录Kubernetes Dashboard所创建的token即可，添加完成之后选择刚刚添加的凭据，然后点击连接测试，如果提示连接成功，那么说明我们的Jenkins可以连接Kubernetes了
5、jenkins全局配置jdk、git和maven
jenkinsci/blueocean镜像默认安装了jdk和git，这里需要登录容器找到路径，然后配置进去。
通过命令进入jenkins容器，并查看JAVA_HOEM和git路径
[root@localhost ~]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
0520ebb9cc5d jenkinsci/blueocean "/sbin/tini -- /usr/…" 2 days ago Up 30 hours 50000/tcp, 0.0.0.0:18080->8080/tcp, :::18080->8080/tcp root-jenkins-1
[root@localhost ~]# docker exec -it 0520ebb9cc5d /bin/bash
bash-5.1# echo $JAVA_HOME
/opt/java/openjdk
bash-5.1# which git
/usr/bin/git
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通过命令查询可知，JAVA_HOME=/opt/java/openjdk GIT= /usr/bin/git ， 在Jenkins全局工具配置中配置
Maven可以在宿主机映射的/data/docker/ci/jenkins/home中安装，然后配置时，配置容器路径为/var/jenkins_home下的Maven安装路径
在系统配置中设置MAVEN_HOME供Pipeline script调用，如果执行脚本时提示没有权限，那么在宿主Maven目录的bin目录下执行chmod 777 *
6、为k8s新建harbor-key，用于k8s拉取私服镜像，配置在代码的k8s-deployment.yml中使用。
kubectl create secret docker-registry harbor-key --docker-server=172.16.20.175 --docker-username='robot$gitegg' --docker-password='Jqazyv7vvZiL6TXuNcv7TrZeRdL8U9n3'
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7、新建pipeline流水线任务
8、配置流水线任务参数
9、配置pipeline发布脚本
在流水线下面选择Pipeline script
pipeline {
agent any
parameters {
gitParameter branchFilter: 'origin/(.*)', defaultValue: 'master', name: 'Branch', type: 'PT_BRANCH', description:'请选择需要构建的代码分支'
choice(name: 'BaseImage', choices: ['openjdk:8-jdk-alpine'], description: '请选择基础运行环境')
choice(name: 'Environment', choices: ['dev','test','prod'],description: '请选择要发布的环境：dev开发环境、test测试环境、prod 生产环境')
extendedChoice(
defaultValue: 'gitegg-gateway,gitegg-oauth,gitegg-plugin/gitegg-code-generator,gitegg-service/gitegg-service-base,gitegg-service/gitegg-service-extension,gitegg-service/gitegg-service-system',
description: '请选择需要构建的微服务',
multiSelectDelimiter: ',',
name: 'ServicesBuild',
quoteValue: false,
saveJSONParameterToFile: false,
type: 'PT_CHECKBOX',
value:'gitegg-gateway,gitegg-oauth,gitegg-plugin/gitegg-code-generator,gitegg-service/gitegg-service-base,gitegg-service/gitegg-service-extension,gitegg-service/gitegg-service-system',
visibleItemCount: 6)
string(name: 'BuildParameter', defaultValue: 'none', description: '请输入构建参数')
}
environment {
PRO_NAME = "gitegg"
BuildParameter="${params.BuildParameter}"
ENV = "${params.Environment}"
BRANCH = "${params.Branch}"
ServicesBuild = "${params.ServicesBuild}"
BaseImage="${params.BaseImage}"
k8s_token = "7696144b-3b77-4588-beb0-db4d585f5c04"
}
stages {
stage('Clean workspace') {
steps {
deleteDir()
}
}
stage('Process parameters') {
steps {
script {
if("${params.ServicesBuild}".trim() != "") {
def ServicesBuildString = "${params.ServicesBuild}"
ServicesBuild = ServicesBuildString.split(",")
for (service in ServicesBuild) {
println "now got ${service}"
}
}
if("${params.BuildParameter}".trim() != "" && "${params.BuildParameter}".trim() != "none") {
BuildParameter = "${params.BuildParameter}"
}
else
{
BuildParameter = ""
}
}
}
}
stage('Pull SourceCode Platform') {
steps {
echo "${BRANCH}"
git branch: "${Branch}", credentialsId: 'gitlabTest', url: 'http://172.16.20.188:2080/root/gitegg-platform.git'
}
}
stage('Install Platform') {
steps{
echo "==============Start Platform Build=========="
sh "${MAVEN_HOME}/bin/mvn -DskipTests=true clean install ${BuildParameter}"
echo "==============End Platform Build=========="
}
}
stage('Pull SourceCode') {
steps {
echo "${BRANCH}"
git branch: "${Branch}", credentialsId: 'gitlabTest', url: 'http://172.16.20.188:2080/root/gitegg-cloud.git'
}
}
stage('Build') {
steps{
script {
echo "==============Start Cloud Parent Install=========="
sh "${MAVEN_HOME}/bin/mvn -DskipTests=true clean install -P${params.Environment} ${BuildParameter}"
echo "==============End Cloud Parent Install=========="
def workspace = pwd()
for (service in ServicesBuild) {
stage ('buildCloud${service}') {
echo "==============Start Cloud Build ${service}=========="
sh "cd ${workspace}/${service} && ${MAVEN_HOME}/bin/mvn -DskipTests=true clean package -P${params.Environment} ${BuildParameter} jib:build -Djib.httpTimeout=200000 -DsendCredentialsOverHttp=true -f pom.xml"
echo "==============End Cloud Build ${service}============"
}
}
}
}
}
stage('Sync to k8s') {
steps {
script {
echo "==============Start Sync to k8s=========="
def workspace = pwd()
mainpom = readMavenPom file: 'pom.xml'
profiles = mainpom.getProfiles()
def version = mainpom.getVersion()
def nacosAddr = ""
def nacosConfigPrefix = ""
def nacosConfigGroup = ""
def dockerHarborAddr = ""
def dockerHarborProject = ""
def dockerHarborUsername = ""
def dockerHarborPassword = ""
def serverPort = ""
def commonDeployment = "${workspace}/k8s-deployment.yaml"
for(profile in profiles)
{
// 获取对应配置
if (profile.getId() == "${params.Environment}")
{
nacosAddr = profile.getProperties().getProperty("nacos.addr")
nacosConfigPrefix = profile.getProperties().getProperty("nacos.config.prefix")
nacosConfigGroup = profile.getProperties().getProperty("nacos.config.group")
dockerHarborAddr = profile.getProperties().getProperty("docker.harbor.addr")
dockerHarborProject = profile.getProperties().getProperty("docker.harbor.project")
dockerHarborUsername = profile.getProperties().getProperty("docker.harbor.username")
dockerHarborPassword = profile.getProperties().getProperty("docker.harbor.password")
}
}
for (service in ServicesBuild) {
stage ('Sync${service}ToK8s') {
echo "==============Start Sync ${service} to k8s=========="
dir("${workspace}/${service}") {
pom = readMavenPom file: 'pom.xml'
echo "group: artifactId: ${pom.artifactId}"
def deployYaml = "k8s-deployment-${pom.artifactId}.yaml"
yaml = readYaml file : './src/main/resources/bootstrap.yml'
serverPort = "${yaml.server.port}"
if(fileExists("${workspace}/${service}/k8s-deployment.yaml")){
commonDeployment = "${workspace}/${service}/k8s-deployment.yaml"
}
else
{
commonDeployment = "${workspace}/k8s-deployment.yaml"
}
script {
sh "sed 's#{APP_NAME}#${pom.artifactId}#g;s#{IMAGE_URL}#${dockerHarborAddr}#g;s#{IMAGE_PROGECT}#${PRO_NAME}#g;s#{IMAGE_TAG}#${version}#g;s#{APP_PORT}#${serverPort}#g;s#{SPRING_PROFILE}#${params.Environment}#g' ${commonDeployment} > ${deployYaml}"
kubernetesDeploy configs: "${deployYaml}", kubeconfigId: "${k8s_token}"
}
}
echo "==============End Sync ${service} to k8s=========="
}
}
echo "==============End Sync to k8s=========="
}
}
}
}
}
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常见问题：
1、Pipeline Utility Steps 第一次执行会报错Scripts not permitted to use method或者Scripts not permitted to use staticMethod org.codehaus.groovy.runtime.DefaultGroovyMethods getProperties java.lang.Object
解决：系统管理–>In-process Script Approval->点击 Approval
2、通过NFS服务将所有容器的日志统一存放在NFS的服务端
3、Kubernetes Continuous Deploy,使用1.0.0版本，否则报错，不兼容
4、解决docker注册到内网问题
spring:
cloud:
inetutils:
ignored-interfaces: docker0
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5、配置ipvs模式，kube-proxy监控Pod的变化并创建相应的ipvs规则。ipvs相对iptables转发效率更高。除此以外，ipvs支持更多的LB算法。
kubectl edit cm kube-proxy -n kube-system
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修改mode: “ipvs”
重新加载kube-proxy配置文件
kubectl delete pod -l k8s-app=kube-proxy -n kube-system
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查看ipvs规则
ipvsadm -Ln
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6、k8s集群内部访问外部服务，nacos，redis等
- a、内外互通模式，在部署的服务设置hostNetwork: true
spec:
hostNetwork: true
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- b、Endpoints模式
kind: Endpoints
apiVersion: v1
metadata:
name: nacos
namespace: default
subsets:
- addresses:
- ip: 172.16.20.188
ports:
- port: 8848
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apiVersion: v1
kind: Service
metadata:
name: nacos
namespace: default
spec:
type: ClusterIP
ports:
- port: 8848
targetPort: 8848
protocol: TCP
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- c、service的type: ExternalName模式,“ExternalName” 使用 CNAME 重定向，因此无法执行端口重映射，域名使用
EndPoints和type: ExternalName
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以上外部新建yaml，不要用内部的，这些需要在环境设置时配置好。
7、k8s常用命令：
查看pod: kubectl get pods
查看service: kubectl get svc
查看endpoints: kubectl get endpoints
安装： kubectl apply -f XXX.yaml
删除：kubectl delete -f xxx.yaml
删除pod: kubectl delete pod podName
删除service: kubectl delete service serviceName
进入容器： kubectl exec -it podsNamexxxxxx -n default – /bin/sh
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Gitee: https://gitee.com/wmz1930/GitEgg
GitHub: https://github.com/wmz1930/GitEgg
欢迎感兴趣的小伙伴Star支持一下。
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