应用版本信息
应用版本Jenkins2.358kubenetestv1.22.2
最终效果图
配置Jenkins机器通过kubectl连接kubernetes
我这里是打算直接在 Jenkins 的机器上安装 kubectl 来访问 kubernetes 集群 但是生产环境咱们需要考虑到安全问题，该做法还是存在一定的问题 读者按自己实际情况去构思即可
]# cd /root/.kube
]# scp config ${jenkins}:/root/.kube
# 这里是把 k8s 的 config 文件拷贝到 Jenkins 机器上的 /root/.kube/ 目录下，如果没有则自行创建
# 去到 Jenkins 机器上安装 kubeclt
]# yum -y install kubectl
# 然后即可查看到集群信息
]# kubectl get nodes
NAME STATUS ROLES AGE VERSION
k8s01 Ready control-plane,master 301d v1.22.2
k8s02 Ready
k8s03 Ready
k8s04 Ready
k8s05 Ready
脚本说明
deploy_front_base.groovy
以下都是基于Jenkins share library，有兴趣的可自行查看
import org.devops.otherTools
def call(Map runMap) {
def timeStr=new Date().format('yyyyMMddHHmm')
def mytools = new org.devops.otherTools()
pipeline {
agent {
label runMap.RUN_NODE
}
environment {
serverName = "${runMap.SERVERNAME}"
gitBranch = "${runMap.BRANCH}"
gitUserId = "${runMap.USERID}"
gitUrl = "${runMap.URL}"
pbBranch = "${runMap.PLAYBOOKBRANCH}"
pbUrl = "${runMap.PLAYBOOKURL}"
dockerfileName = "${runMap.DOCKERFILE}"
harborName = "${runMap.HARBORNAME}"
harborProject = "${runMap.HARBORPROJECT}"
imageName = "${harborName}/${harborProject}/${serverName}:${timeStr}"
k8sNamespace = "${runMap.K8SNS}"
k8sYaml = "${runMap.K8SYAML}"
k8sPort = "${runMap.K8SPORT}"
k8sNodePort = "${runMap.K8SNODEPORTb}"
testPk = "test-pk"
}
options {
// 表示保留10次构建历史
buildDiscarder(logRotator(numToKeepStr: '10'))\
// 输出构建的时间信息
timestamps()
}
stages {
stage('拉取剧本') {
steps {
checkout([$class: 'GitSCM',
branches: [[name: "${pbBranch}"]],
extensions: [],
userRemoteConfigs: [[credentialsId: "${gitUserId}", url: "${pbUrl}"]]])
}
}
stage('rename dir') {
steps {
sh """
mkdir -p ${WORKSPACE}/../${testPk} && cp -rf ${WORKSPACE}/* ${WORKSPACE}/../${testPk}
"""
}
}
stage('拉取代码') {
steps {
script {
mytools.printMsg('hello world')
}
checkout([$class: 'GitSCM',
branches: [[name: "${gitBranch}"]],
extensions: [],
userRemoteConfigs: [[credentialsId: "${gitUserId}", url: "${gitUrl}"]]])
}
}
stage('制作容器镜像') {
steps {
sh """
export serverName=${serverName}
envsubst < ${WORKSPACE}/../${testPk}/${dockerfileName} | docker build -t ${imageName} . -f -
"""
}
}
stage('上传镜像') {
steps {
withCredentials([usernamePassword(credentialsId: '5c4562c3-893e-4300-a8f7-3f91c7521e75', passwordVariable: 'harborPass', usernameVariable: 'harborUser')]) {
sh """
docker login -u ${harborUser} -p ${harborPass} ${harborName}
docker push ${imageName}
"""
}
}
}
stage('部署到k8s') {
steps {
sh """
export serverName=${serverName}
export k8sNamespace=${k8sNamespace}
export imageName=${imageName}
envsubst < ${WORKSPACE}/../${testPk}/${k8sYaml} | kubectl apply -f -
"""
}
}
}
}
}
Dockerfile
此处使用的是多重构建，配合 envsubst 实现动态参数构建镜像 使用方式如下：
envsubst < Dockerfile | docker build -t ${imageName} . -f -
# build stage
FROM golang:1.18-alpine AS builder
ENV CGO_ENABLED 0
ENV GOOS linux
ENV GOPROXY https://goproxy.cn,direct
WORKDIR /app
COPY ./* /app/
RUN go build -o ${serverName} .
# run stage
FROM alpine:3.16.0
LABEL maintainer="Sky"
WORKDIR /
COPY --from=builder /app/${serverName} /
RUN ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && mkdir /lib64 && ln -s /lib/libc.musl-x86_64.so.1 /lib64/ld-linux-x86-64.so.2
EXPOSE 8000
CMD ["./${serverName}"]
Deployment.yaml
使用方式如下：
envsubst < Deployment.yaml | kubectl apply -f -
kind: Service
apiVersion: v1
metadata:
name: ${serverName}-svc
namespace: ${k8sNamespace}
spec:
type: NodePort
ports:
- port: 8000
targetPort: 8000
nodePort: 30800
selector:
app: ${serverName}
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: ${serverName}
namespace: ${k8sNamespace}
spec:
replicas: 3
selector:
matchLabels:
app: ${serverName}
template:
metadata:
labels:
app: ${serverName}
spec:
containers:
- name: ${serverName}
image: ${imageName}
ports:
- containerPort: 8000
Map.groovy
该脚本定义好 Map 然后传递并调用写好的 pipeline
@Library('jenkins_lib@main') _
def runMap = [:]
// 定义项目构建运行的 NODE
runMap.put('RUN_NODE','master')
// 项目名
runMap.put('SERVERNAME', 'hellogo')
// git 分支
runMap.put('BRANCH', '*/main')
runMap.put('PLAYBOOKBRANCH', '*/main')
// git userId
runMap.put('USERID', 'b6dc9f5f-581b-1234-82d5-55c3ebc39b32')
// git url
runMap.put('URL', 'http://10.10.3.21/golang/test-build.git')
runMap.put('PLAYBOOKURL', 'http://10.10.3.21/testall/playbook.git')
// dockerfile config
runMap.put('DOCKERFILE', 'helloGoDockerfile')
// harbor config
runMap.put('HARBORNAME', 'my.harbor.com')
runMap.put('HARBORPROJECT', 'test')
// kubernetes config
runMap.put('K8SNS', 'test')
runMap.put('K8SYAML', 'helloGoDeployment.yaml')
runMap.put('K8SPORT', '8000')
runMap.put('K8SNODEPORTb', '30800')
// 此处是真正运行上面 pipeline 脚本的地方，并把 Map 传递进去
deploy_front_base(runMap)
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