Net Core教程
Jenkins file一行代码部署.NET程序到K8S
本文主要是介绍Jenkins file一行代码部署.NET程序到K8S，对大家解决编程问题具有一定的参考价值，需要的程序猿们随着小编来一起学习吧！
什么是Jenkins共享库
随着微服务的增多，每个项目的都需要pipline文件，这样的话Pipeline代码冗余度高，并且pipeline的功能越来越复杂。
jenkins可以使用Shared Lib，将一些公共的pipeline抽象做成模块代码，在各种项目pipeline之间复用，以减少冗余。
共享库目录结构
共享库根目录
|-- vars
|-- test1.groovy
|-- src
|-- test2.groovy
|-- resources
vars: 依赖于Jenkins运行环境的Groovy脚本。其中的Groovy脚本被称之为全局变量。
src: 标准的Java源码目录结构,其中的Groovy脚本被称为类库(Library class)。
resources: 目录允许从外部库中使用 libraryResource 步骤来加载有关的非 Groovy 文件。
引用共享库的方式
#!/usr/bin/env groovy
// 引用默认配置的共享库
@Library('demo-shared-library') _
// 引用指定分支、tag的共享库代码
@Library('demo-shared-library@1.0') _
// 引用多个指定分支tag的共享库
@Library('demo-shared-library@$Branch/Tag','demo-shared-library-test@$Branch/Tag') _
@Library('utils') import org.foo.Utilities
@Library('utils') import static org.foo.Utilities.*
vars下的全局变量
/vars下的全局变量必须以全小写或驼峰（camelCased）
/vars/*.groovy若实现call()方法，直接引用时默认执行其中的方法
实现一行代码部署.NET程序到K8S
安装Jenkins Master
# master docker run --name jenkins-blueocean -u root --privileged -d -p 8080:8080 -p 50000:50000 -v D:/architecture/jenkins/data:/var/jenkins_home -v /var/run/docker.sock:/var/run/docker.sock jenkinsci/blueocean # 访问：http://ip:8080/ # jenkins密码，查看容器日志: 7285ced325a24483bfdaab227415fdac # 安装推荐插件
安装Jenkins Agent
Manage Jenkins -> Manage Nodes and Clouds -> New Node- Name: agent2/agent3
- Labels: agentnode
- Launch method: Launch agent by connecting it to the master
Build Agent Docker Image
# slave
# Dockerfile
FROM jenkins/inbound-agent:latest
USER root
RUN apt-get update
RUN apt-get -y install ca-certificates curl gnupg lsb-release
RUN curl -fsSL https://get.docker.com -o get-docker.sh
RUN sh get-docker.sh
RUN curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
RUN install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl
RUN kubectl version --client
ENV JMETER_VERSION=5.4.1
ENV JMETER_HOME=/jmeter/apache-jmeter-${JMETER_VERSION}
ENV JMETER_PATH=${JMETER_HOME}/bin:${PATH}
ENV PATH=${JMETER_HOME}/bin:${PATH}
RUN mkdir /jmeter
COPY apache-jmeter-${JMETER_VERSION}.tgz /jmeter
RUN cd /jmeter && tar xvf apache-jmeter-${JMETER_VERSION}.tgz #其中tgz文件请去官网下载
RUN sed -i 's/#jmeter.save.saveservice.output_format=csv/jmeter.save.saveservice.output_format=xml/g' /jmeter/apache-jmeter-5.4.1/bin/jmeter.properties
docker build -t chesterjenkinsagent . docker tag chesterjenkinsagent:latest 192.168.43.95/jenkins/chesterjenkinsagent:v1 docker login --username=admin --password=123456 192.168.43.95 docker push 192.168.43.95/jenkins/chesterjenkinsagent:v1
运行Agent，其中的密钥通过jenkins的agent信息获取
# agent4 docker run -v /var/run/docker.sock:/var/run/docker.sock --name agent4 -d --init 192.168.43.95/jenkins/chesterjenkinsagent:v1 -url http://192.168.43.94:8080 1e84c896dbffc0c325587eedb6301ab0ae66d3f4b49c4628dbb05714e382d7a2 agent4
新增K8S凭据
- 将k8s集群的配置文件导出 ~/.kube/config
- Mange Jenkins -> Manage Credentials -> Add Credentials -> Secret File
- 选择导出的kubeconfig，设置id为kubeconfig
新增Harbor凭据
- Mange Jenkins -> Manage Credentials -> Add Credentials -> Username with password
- 输入Harbor的用户名密码
新增Gitee凭据
- Mange Jenkins -> Manage Credentials -> Add Credentials -> Username with password
- 输入Gitee的用户名密码
安装插件
Manage Jenkins -> Manage Plugins -> Search "Performance" -> install
管理共享库
Manage Jenkins -> Configure System -> Global Pipeline Libraries，其中的git地址是共享库的地址
共享库中新增以下代码
vars/run.groovy
#!/usr/bin/env groovy
def call(String nameSpaceName, String serviceName, String servicePath, String servicePort, String nodePort, Map envInfo) {
def devBranch = envInfo['dev']
def prodBranch = envInfo['prod']
pipeline {
agent {
label 'agentnode'
}
environment {
DEV_MY_KUBECONFIG = credentials('kubeconfig')
PROD_MY_KUBECONFIG = credentials('kubeconfig')
HARBOR = credentials('harbor')
}
stages {
stage('Dev - GitPull') {
steps {
deleteDir()
gitCheckOut devBranch, env.GIT_URL
}
post {
success {
script {
echo 'pull done'
}
}
}
}
stage('Dev - DockerBuild') {
steps {
dockerImageBuild serviceName, "${servicePath}Dockerfile"
}
}
stage('Dev - DockerTag') {
steps {
dockerTag serviceName, 'dev'
}
}
stage('Dev - DockerLogin') {
steps {
dockerLogin 'dev'
}
}
stage('Dev - DockerPush') {
steps {
dockerPush serviceName, 'dev'
}
}
stage('Dev - GenerateHarborSecretYAML') {
steps {
harborSecret nameSpaceName, serviceName, 'dev'
}
}
stage('Dev - GenerateK8SYAML') {
steps {
k8sGenerateYaml nameSpaceName, serviceName, servicePath, 'dev', servicePort, nodePort
}
}
stage('Dev - DeployToK8S') {
steps {
k8sDeploy servicePath, 'dev'
}
}
stage('Dev - CheckDeployStatus') {
steps {
k8sCheckDeployStatus nameSpaceName, serviceName, 'dev'
}
}
stage('Dev - Jmeter Test') {
steps {
jmeterTest servicePath
}
}
stage('DeployToProd?') {
steps {
input '部署生产？'
}
}
stage('Prod - GitPull') {
steps {
gitCheckOut prodBranch, env.GIT_URL
}
}
stage('Prod - DockerBuild') {
steps {
dockerImageBuild serviceName, "${servicePath}Dockerfile"
}
}
stage('Prod - DockerTag') {
steps {
dockerTag serviceName, 'prod'
}
}
stage('Prod - DockerLogin') {
steps {
dockerLogin 'prod'
}
}
stage('Prod - DockerPush') {
steps {
dockerPush serviceName, 'prod'
}
}
stage('Prod - GenerateHarborSecretYAML') {
steps {
harborSecret nameSpaceName, serviceName, 'prod'
}
}
stage('Prod - GenerateK8SYAML') {
steps {
k8sGenerateYaml nameSpaceName, serviceName, servicePath, 'prod', servicePort, nodePort
}
}
stage('Prod - DeployToK8S') {
steps {
k8sDeploy servicePath, 'prod'
}
}
stage('Prod - CheckDeployStatus') {
steps {
k8sCheckDeployStatus nameSpaceName, serviceName, 'prod'
}
}
}
}
}
vars/dockerImageBuild.groovy
#!/usr/bin/env groovy
def call(String serviceName, String dockerfilePath) {
echo "serviceName:${serviceName} dockerfilePath:${dockerfilePath}"
sh "docker build -t ${serviceName} -f ${dockerfilePath} ."
}
vars/dockerLogin.groovy
#!/usr/bin/env groovy
def call(String envName) {
sh 'docker login --username=$HARBOR_USR --password=$HARBOR_PSW 192.168.43.95'
}
vars/dockerPush.groovy
#!/usr/bin/env groovy
def call(String serviceName,String envName) {
sh "docker push 192.168.43.95/dapr/${serviceName}:${envName}-${BUILD_NUMBER}"
}
vars/dockerTag.groovy
#!/usr/bin/env groovy
def call(String serviceName, String envName) {
sh "docker tag ${serviceName}:latest 192.168.43.95/dapr/${serviceName}:${envName}-${BUILD_NUMBER}"
}
vars/gitCheckOut.groovy
#!/usr/bin/env groovy
def call(String branchName, String gitUrl) {
echo "branchName:${branchName} gitUrl:${gitUrl}"
checkout([$class: 'GitSCM', branches: [[name: branchName]], extensions: [], userRemoteConfigs: [[credentialsId: 'gitee', url: gitUrl]]])
}
vars/harborSecret.groovy
def call(String namespaceName, String serviceName, String envName) {
dir('harborsecret') {
checkout([$class: 'GitSCM', branches: [[name: '*/master']], extensions: [], userRemoteConfigs: [[credentialsId: 'gitee', url: 'https://gitee.com/chesterdotchen/jenkins-demo-secrets.git']]])
sh """sed -i 's/{{ServiceName}}/${serviceName}/g' secrets.yaml"""
sh """sed -i 's/{{NameSpaceName}}/${namespaceName}/g' secrets.yaml"""
if (envName == 'dev') {
sh("kubectl --kubeconfig ${DEV_MY_KUBECONFIG} apply -f secrets.yaml")
}
if (envName == 'prod') {
sh("kubectl --kubeconfig ${PROD_MY_KUBECONFIG} apply -f secrets.yaml")
}
}
}
vars/jmeterTest.groovy
#!/usr/bin/env groovy
def call(String servicePath) {
sh "jmeter -j jmeter.save.saveservice.output_format=xml -n -t ${servicePath}jmeter.jmx -l ${servicePath}jmeter.report.jtl"
sh "cp ${servicePath}jmeter.report.jtl ${servicePath}jmeter.report.${BUILD_NUMBER}.jtl"
perfReport errorFailedThreshold:5, sourceDataFiles:"${servicePath}jmeter.report.jtl"
sh "cat ${servicePath}jmeter.report.${BUILD_NUMBER}.jtl"
sh """#!/bin/sh
grep '<failure>true</failure>' ${servicePath}jmeter.report.${BUILD_NUMBER}.jtl
if [ \$? = 0 ]
then
exit 1
else
exit 0
fi
"""
}
vars/k8sCheckDeployStatus.groovy
#!/usr/bin/env groovy
def call(String nameSpaceName, String serviceName, String envName) {
if (envName == 'dev') {
sh("""
ATTEMPTS=0
ROLLOUT_STATUS_CMD='kubectl --kubeconfig ${DEV_MY_KUBECONFIG} rollout status deployment/${serviceName} -n ${nameSpaceName}-ns'
until \$ROLLOUT_STATUS_CMD || [ \$ATTEMPTS -eq 60 ]; do
\$ROLLOUT_STATUS_CMD
ATTEMPTS=\$((attempts + 1))
sleep 10
done
""")
}
if (envName == 'prod') {
sh("""
ATTEMPTS=0
ROLLOUT_STATUS_CMD='kubectl --kubeconfig ${PROD_MY_KUBECONFIG} rollout status deployment/${serviceName} -n ${nameSpaceName}-ns'
until \$ROLLOUT_STATUS_CMD || [ \$ATTEMPTS -eq 60 ]; do
\$ROLLOUT_STATUS_CMD
ATTEMPTS=\$((attempts + 1))
sleep 10
done
""")
}
}
vars/k8sDeploy.groovy
#!/usr/bin/env groovy
def call(String servicePath, String envName) {
if (envName == 'dev') {
sh("kubectl --kubeconfig ${DEV_MY_KUBECONFIG} apply -f ${servicePath}deployment.yaml")
}
if (envName == 'prod') {
sh("kubectl --kubeconfig ${PROD_MY_KUBECONFIG} apply -f ${servicePath}deployment.yaml")
}
}
vars/k8sGenerateYaml.groovy
#!/usr/bin/env groovy
def call(String namespaceName, String serviceName, String servicePath, String envName, String servicePort, String nodePort) {
sh """sed "s/{{tagversion}}/${envName}-${BUILD_NUMBER}/g" ${servicePath}deployment.yaml.tpl > ${servicePath}deployment.yaml """
sh """sed -i 's/{{ServiceName}}/${serviceName}/g' ${servicePath}deployment.yaml"""
sh """sed -i 's/{{ServicePort}}/${servicePort}/g' ${servicePath}deployment.yaml"""
sh """sed -i 's/{{NodePort}}/${nodePort}/g' ${servicePath}deployment.yaml"""
sh """sed -i 's/{{NameSpaceName}}/${namespaceName}/g' ${servicePath}deployment.yaml"""
}
jenkins-demo-secrets中代码如下
apiVersion: v1
kind: Namespace
metadata:
name: {{NameSpaceName}}-ns
---
apiVersion: v1
kind: Secret
metadata:
name: harbor-key
namespace: {{NameSpaceName}}-ns
type: kubernetes.io/dockerconfigjson
data:
.dockerconfigjson: ewoJImF1dGhzIjogewoJCSIxOTIuMTY4LjQzLjk1IjogewoJCQkiYXV0aCI6ICJZV1J0YVc0Nk1USXpORFUyIgoJCX0sCgkJInJlZ2lzdHJ5LmNuLWJlaWppbmcuYWxpeXVuY3MuY29tIjogewoJCQkiYXV0aCI6ICI2Wm1JNUxpQTU0dXVPbU5vWlc1NWFYTm9hVEV5TXc9PSIKCQl9Cgl9Cn0=
dockerconfigjson可通过以下方式获取
docker login --username=admin --password=123456 192.168.43.95 cat ~/.docker/config.json | base64
Jenkinsfile中引用共享库
项目库中需要提前编写好Dockerfile，Jenkinsfile，deployment.yaml.tpl，jmeter.jmx
Dockerfile
#See https://aka.ms/containerfastmode to understand how Visual Studio uses this Dockerfile to build your images for faster debugging. FROM mcr.microsoft.com/dotnet/aspnet:5.0 AS base WORKDIR /app EXPOSE 5001 FROM mcr.microsoft.com/dotnet/sdk:5.0 AS build WORKDIR /src COPY ["FrontEnd/FrontEnd.csproj", "FrontEnd/"] COPY ["Common/Common.csproj", "Common/"] RUN dotnet restore "FrontEnd/FrontEnd.csproj" COPY . . WORKDIR "/src/FrontEnd" RUN dotnet build "FrontEnd.csproj" -c Release -o /app/build FROM build AS publish RUN dotnet publish "FrontEnd.csproj" -c Release -o /app/publish FROM base AS final WORKDIR /app COPY --from=publish /app/publish . ENTRYPOINT ["dotnet", "FrontEnd.dll"]
Jenkinsfile
#!/usr/bin/env groovy
@Library('share@master') _
run 'daprtest', 'frontend', './FrontEnd/', '5001', '31111', ['dev':'*/master', 'prod':'*/master']
deployment.yaml.tpl
apiVersion: v1
kind: Namespace
metadata:
name: {{NameSpaceName}}-ns
---
apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
name: statestore
namespace: {{NameSpaceName}}-ns
spec:
type: state.redis
version: v1
metadata:
- name: redisHost
value: 192.168.43.102:6379
- name: redisPassword
value: "123456"
- name: actorStateStore
value: "true"
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: {{ServiceName}}
namespace: {{NameSpaceName}}-ns
labels:
app: {{ServiceName}}
spec:
replicas: 1
selector:
matchLabels:
app: {{ServiceName}}
template:
metadata:
namespace: {{NameSpaceName}}-ns
labels:
app: {{ServiceName}}
annotations:
dapr.io/enabled: "true"
dapr.io/app-id: "{{ServiceName}}"
dapr.io/app-port: "{{ServicePort}}"
spec:
imagePullSecrets:
- name: harbor-key
containers:
- name: {{ServiceName}}
image: 192.168.43.95/dapr/{{ServiceName}}:{{tagversion}}
ports:
- containerPort: {{ServicePort}}
imagePullPolicy: Always
---
apiVersion: v1
kind: Service
metadata:
namespace: {{NameSpaceName}}-ns
name: {{ServiceName}}-svc
spec:
type: NodePort
selector:
app: {{ServiceName}}
ports:
- port: {{ServicePort}}
targetPort: {{ServicePort}}
nodePort: {{NodePort}}
jmter.jmx则根据需要自行编写
新建pipline
其中的URL指向自己项目的git地址
构建pipline
至此，我们已经完成了Jenkinsfile中一行代码部署我们的项目，如果有新的service，在编写好Dockerfile，deployment.yaml.tpl（保持一致），jmeter.jmx的前提下，我们只需要Jenkinsfile中通过共享库引用run方法即可
这篇关于Jenkins file一行代码部署.NET程序到K8S的文章就介绍到这儿，希望我们推荐的文章对大家有所帮助，也希望大家多多支持为之网！
您可能喜欢
-
沐雪多租宝商城源码从.NetCore3.1升级到.Net6的步骤03-01
-
微软研究：RAG系统的四个层次提升理解与回答能力11-18
-
C#中怎么从PEM格式的证书中提取公钥？-icode9专业技术文章分享11-15
-
云架构设计——如何用diagrams.net绘制专业的AWS架构图？11-14
-
首个适配Visual Studio平台的国产智能编程助手CodeGeeX正式上线！C#程序员必备效率神器！05-08
-
C#设计模式之十六迭代器模式（Iterator Pattern）【行为型】03-30
-
c# datetime tryparse03-29
-
list find index c#02-21
-
convert toint32 c#01-24
-
Advanced .Net Debugging 1：你必须知道的调试工具01-24
-
.NET集成IdGenerator生成分布式全局唯一ID01-24
-
用CI/CD工具Vela部署Elasticsearch + C# 如何使用01-23
-
.NET开源的简单、快速、强大的前后端分离后台权限管理系统01-23
-
C#对象二进制序列化优化：位域技术实现极限压缩01-23
-
c# ceiling01-22
栏目导航
