一. 持续集成/部署/交付概述
持续集成(Continuous Integration,CI): 代码合并、构建、部署、测试都在一起,不断地执行这个过程,并对结果反馈。
持续部署(Continuous Deployment,CD): 部署到测试环境、预生产环境、生产环境。
持续交付(Continuous Delivery,CD): 将最终产品发布到生产环境,给用户使用。
角色 | IP | 备注 | 推荐配置 |
---|---|---|---|
K8S | 10.40.6.201 10.40.6.210 10.40.6.213 |
自行准备 | CPU:2C+ 内存:4G+ |
Harbor | 10.40.6.165 | ||
Git | 10.40.6.165 | ||
Jenkins | 部署在K8S平台 |
二. 准备工作
1. 对项目的理解
• 单体架构、微服务
• 怎么部署
• 启动是否有依赖
2. 部署到k8s平台流程
(1). 制作镜像
(2). 容器放到Pod
(3). 控制器管理Pod
(4). 暴露应用
(5). 对外发布应用
(6). 日志管理/监控
3. 不同环境区分配置文件
• configmap
• entrypoint.sh
• 统一配置中心,例如 Apollo,Disconf
4. Harbor镜像仓库
部署参考: https://www.jianshu.com/p/7ca6c59f9882
5. Git代码版本仓库
(1). 安装Git
# yum install git
(2). 创建Git用户密码
# useradd git
# passwd git
(3). 创建仓库
# su - git
$ mkdir java-demo.git
$ cd java-demo.git
$ git --bare init
(4). Git服务器SSH免交互认证
配置客户端(10.40.6.213)与Git服务器SSH免交互认证
# mkdir git && cd git
# git clone [email protected]:/home/git/java-demo.git
# touch 123
# git add .
# git commit -m 'test'
# git push origin master
(5). 密钥免交互测试
# ssh-keygen
# ssh-copy-id [email protected]
# ssh [email protected]
# cd .. && rm -rf java-demo
# git clone [email protected]:/home/git/java-demo.git
三. Kubernetes中部署Jenkins
参考:https://github.com/jenkinsci/kubernetes-plugin/tree/fc40c869edfd9e3904a9a56b0f80c5a25e988fa1/src/main/kubernetes
NFS服务部署:https://www.jianshu.com/p/26003390626e
创建NFS 动态供给参考:https://www.jianshu.com/p/092eb3aacefc
1. 部署有状态的jenkins Pod
# cat statefulset-jenkins.yml
apiVersion: apps/v1beta1
kind: StatefulSet
metadata:
name: jenkins
labels:
name: jenkins
spec:
serviceName: jenkins
replicas: 1
updateStrategy:
type: RollingUpdate
template:
metadata:
name: jenkins
labels:
name: jenkins
spec:
terminationGracePeriodSeconds: 10
serviceAccountName: jenkins
containers:
- name: jenkins
image: jenkins/jenkins:lts-alpine
imagePullPolicy: Always
ports:
- containerPort: 8080
- containerPort: 50000
resources:
limits:
cpu: 1
memory: 1Gi
requests:
cpu: 0.5
memory: 500Mi
env:
- name: LIMITS_MEMORY
valueFrom:
resourceFieldRef:
resource: limits.memory
divisor: 1Mi
- name: JAVA_OPTS
value: -Xmx$(LIMITS_MEMORY)m -XshowSettings:vm -Dhudson.slaves.NodeProvisioner.initialDelay=0 -Dhudson.slaves.NodeProvisioner.MARGIN=50 -Dhudson.slaves.NodeProvisioner.MARGIN0=0.85 -Duser.timezone=GMT+08
volumeMounts:
- name: jenkins-home
mountPath: /var/jenkins_home
livenessProbe:
httpGet:
path: /login
port: 8080
initialDelaySeconds: 60
timeoutSeconds: 5
failureThreshold: 12
readinessProbe:
httpGet:
path: /login
port: 8080
initialDelaySeconds: 60
timeoutSeconds: 5
failureThreshold: 12
securityContext:
fsGroup: 1000
volumeClaimTemplates:
- metadata:
name: jenkins-home
spec:
storageClassName: "managed-nfs-storage"
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: 1Gi
2. 创建jenkins service
# cat service-jenkins.yml
apiVersion: v1
kind: Service
metadata:
name: jenkins
spec:
selector:
name: jenkins
type: NodePort
ports:
-
name: http
port: 80
targetPort: 8080
protocol: TCP
nodePort: 30006
-
name: agent
port: 50000
protocol: TCP
3. 创建jenkins ingress
# cat ingress-jenkins.yml
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
name: jenkins
annotations:
nginx.ingress.kubernetes.io/ssl-redirect: "true"
kubernetes.io/tls-acme: "true"
# 如果上传插件超出默认会报"413 Request Entity Too Large", 增加 client_max_body_size
nginx.ingress.kubernetes.io/proxy-body-size: 50m
nginx.ingress.kubernetes.io/proxy-request-buffering: "off"
# nginx-ingress controller版本小于 0.9.0.beta-18 的配置
ingress.kubernetes.io/ssl-redirect: "true"
ingress.kubernetes.io/proxy-body-size: 50m
ingress.kubernetes.io/proxy-request-buffering: "off"
spec:
rules:
- host: jenkins.example.com
http:
paths:
- path: /
backend:
serviceName: jenkins
servicePort: 80
4. jenkins认证授权
# cat service-account.yml
---
# 创建名为jenkins的ServiceAccount
apiVersion: v1
kind: ServiceAccount
metadata:
name: jenkins
---
# 创建名为jenkins的Role,授予允许管理API组的资源Pod
kind: Role
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
name: jenkins
rules:
- apiGroups: [""]
resources: ["pods"]
verbs: ["create","delete","get","list","patch","update","watch"]
- apiGroups: [""]
resources: ["pods/exec"]
verbs: ["create","delete","get","list","patch","update","watch"]
- apiGroups: [""]
resources: ["pods/log"]
verbs: ["get","list","watch"]
- apiGroups: [""]
resources: ["secrets"]
verbs: ["get"]
---
# 将名为jenkins的Role绑定到名为jenkins的ServiceAccount
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: RoleBinding
metadata:
name: jenkins
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: jenkins
subjects:
- kind: ServiceAccount
name: jenkins
5. 获取jenkins密码并登录
# kubectl create -f .
登录容器获取jenkins登录密码:
# kubectl exec -it jenkins-0 bash
bash-4.4$ cat /var/jenkins_home/secrets/initialAdminPassword
0f8c730f4b7a426098283cf94aa57231
jenkins地址:http://10.40.6.213:30006
jenkins 安装插件:pipeline、git、kubernetes
四. Jenkins在K8S中动态创建代理
1. 传统架构与K8S 架构的区别
(1). 传统Master/Slave架构,Master收到Job后,将请求转发到Slave节点处理。Slave节点数固定,Slave节点未能自动申缩容。
(2). K8S中Jenkins Master/Slave架构,Master收到Job后,会自动创建Slave节点处理此Job,根据客户端的Job自动申缩容。
2. jenkins插件连接K8S配置
需要先安装pipeline插件, 建议不在UI上配置pod创建模版,免得以后每来一个项目都要创建,管理不方便,建议使用pipeline统一 配置。
Kubernetes插件介绍:https://github.com/jenkinsci/kubernetes-plugin
五. 构建Jenkins Slave镜像
参考:https://github.com/jenkinsci/docker-jnlp-slave
1. 构建Jenkins Slave镜像环境准备
构建Jenkins Slave镜像环境准备:
代码拉取:git,安装git命令
单元测试:忽略,这不是我们擅长的,如果公司有可以写进来
代码编译:maven,安装maven包
构建镜像:Dockerfile文件、docker命令(通过挂载宿主机docker)
推送镜像:docker命令(通过挂载宿主机docker)
镜像启动后支持slave: 下载官方slave.jar包(获取:http://10.40.6.213:30006/jnlpJars/slave.jar)
启动 slave.ja包:jenkins-slave启动脚步(通过参考文档URL)
maven配置文件:settings.xml (这里配置阿里云的仓库源)
获取相关文件:
Dockerfile
jenkins-slave 启动脚步
settings.xml
slave.jar
创建目录并进入:
mkdir jenkins-slave && cd jenkins-slave
2. Dockerfile配置文件
# cat Dockerfile
FROM centos:7
LABEL maintainer liuzhousheng
RUN yum install -y java-1.8.0-openjdk maven curl git libtool-ltdl-devel && \
yum clean all && \
rm -rf /var/cache/yum/* && \
mkdir -p /usr/share/jenkins
COPY slave.jar /usr/share/jenkins/slave.jar
COPY jenkins-slave /usr/bin/jenkins-slave
COPY settings.xml /etc/maven/settings.xml
RUN chmod +x /usr/bin/jenkins-slave
ENTRYPOINT ["jenkins-slave"]
3. jenkins-slave启动脚步
# cat jenkins-slave
#!/usr/bin/env sh
if [ $# -eq 1 ]; then
# if `docker run` only has one arguments, we assume user is running alternate command like `bash` to inspect the image
exec "$@"
else
# if -tunnel is not provided try env vars
case "$@" in
*"-tunnel "*) ;;
*)
if [ ! -z "$JENKINS_TUNNEL" ]; then
TUNNEL="-tunnel $JENKINS_TUNNEL"
fi ;;
esac
# if -workDir is not provided try env vars
if [ ! -z "$JENKINS_AGENT_WORKDIR" ]; then
case "$@" in
*"-workDir"*) echo "Warning: Work directory is defined twice in command-line arguments and the environment variable" ;;
*)
WORKDIR="-workDir $JENKINS_AGENT_WORKDIR" ;;
esac
fi
if [ -n "$JENKINS_URL" ]; then
URL="-url $JENKINS_URL"
fi
if [ -n "$JENKINS_NAME" ]; then
JENKINS_AGENT_NAME="$JENKINS_NAME"
fi
if [ -z "$JNLP_PROTOCOL_OPTS" ]; then
echo "Warning: JnlpProtocol3 is disabled by default, use JNLP_PROTOCOL_OPTS to alter the behavior"
JNLP_PROTOCOL_OPTS="-Dorg.jenkinsci.remoting.engine.JnlpProtocol3.disabled=true"
fi
# If both required options are defined, do not pass the parameters
OPT_JENKINS_SECRET=""
if [ -n "$JENKINS_SECRET" ]; then
case "$@" in
*"${JENKINS_SECRET}"*) echo "Warning: SECRET is defined twice in command-line arguments and the environment variable" ;;
*)
OPT_JENKINS_SECRET="${JENKINS_SECRET}" ;;
esac
fi
OPT_JENKINS_AGENT_NAME=""
if [ -n "$JENKINS_AGENT_NAME" ]; then
case "$@" in
*"${JENKINS_AGENT_NAME}"*) echo "Warning: AGENT_NAME is defined twice in command-line arguments and the environment variable" ;;
*)
OPT_JENKINS_AGENT_NAME="${JENKINS_AGENT_NAME}" ;;
esac
fi
#TODO: Handle the case when the command-line and Environment variable contain different values.
#It is fine it blows up for now since it should lead to an error anyway.
exec java $JAVA_OPTS $JNLP_PROTOCOL_OPTS -cp /usr/share/jenkins/slave.jar hudson.remoting.jnlp.Main -headless $TUNNEL $URL $WORKDIR $OPT_JENKINS_SECRET $OPT_JENKINS_AGENT_NAME "$@"
fi
4. 获取slave.jar包
wget http://10.40.6.213:30006/jnlpJars/slave.jar
5. maven源配置文件settings.xml
maven源配置文件settings.xml,这里配置阿里云的源。
# cat settings.xml
central
central
aliyun maven
https://maven.aliyun.com/repository/public
6. 构建镜像, 并推送至私有镜像仓库
# docker build -t 10.40.6.165/library/jenkins-slave-jdk:1.8 .
....
Successfully built 3aaa12e391fc
Successfully tagged 10.40.6.165/library/jenkins-slave-jdk:1.8
# docker login 10.40.6.165 ###先登录镜像仓库再推送
Username: admin
Password:
# docker push 10.40.6.165/library/jenkins-slave-jdk:1.8
注意: 私有镜像仓库用的是http访问,kubernetes是不信任的,得每个node节点配置信任。
参考:https://www.jianshu.com/p/7ca6c59f9882
六. Jenkins Pipeline构建流水线发布
1. Jenkins Pipeline 核心概念
• Jenkins Pipeline是一套插件,支持在Jenkins中实现持续集成、交付管道;
• Pipeline通过特定语法从简单到复杂的传输管道进行建模;
① 声明式:遵循与Groovy相同语法。pipeline { }
② 脚本式:支持Groovy大部分功能,也是非常表达和灵活的工具。node { }
• Jenkins Pipeline的定义被写入一个文本文件,称为Jenkinsfile。
Jenkins Pipeline 核心概念:
Node: 节点,一个 Node 就是一个 Jenkins 节点,Master 或者 Agent,是执行 Step 的具体运行环境,比如我们之前动态运行的 Jenkins Slave 就是一个 Node 节点
Stage: 阶段,一个 Pipeline 可以划分为若干个 Stage,每个 Stage 代表一组操作,比如:Build、Test、Deploy等,Stage 是一个逻辑分组的概念,可以跨多个 Node
Step: 步骤,Step 是最基本的操作单元,可以是打印一句话,也可以是构建一个 Docker 镜像,由各类 Jenkins 插件提供,比如命令:sh ‘make’,就相当于我们平时 shell 终端中执行 make 命令一样。
参考:https://jenkins.io/doc/book/pipeline/syntax/
2. 拉取代码配置
(1). Pipeline语法使用
(2). 生成Pipeline语句
(3). 拉取Git代码秘钥配置
(4). Pileline语句
然后构建拉取代码测试
七. 编写Pipeline脚本完成CI阶段
参考文档:https://github.com/jenkinsci/kubernetes-plugin
pipeline script注意:
podTemplate 中label和node括号里的字符串要一致
podTemplate 中cloud为之前配置jenkins Cloud 名称
containerTemplate中name最好保持为"jnlp"
pipeline script变量docker_registry_auth、git_auth、8s_auth通过保存在jenkins凭据中相应的凭据ID。
Pipeline Script如下:
// 公共
def registry = "10.40.6.165"
// 项目
def project = "project"
def app_name = "java-demo"
def image_name = "${registry}/${project}/${app_name}:${BUILD_NUMBER}"
def git_address = "[email protected]:/home/git/java-demo.git"
// 认证
def secret_name = "registry-pull-secret"
def docker_registry_auth = "eba0f763-747e-47e3-a7ed-20eaf5cbab31" //Harbor login auth
def git_auth = "fec843cc-3cc4-4c97-969f-df0b0f1bcc50" //git login auth
def k8s_auth = "80e66a86-d189-4555-b1ef-054285031b7a" // k8s auth,CI阶段不用到, CD 部署时才用到
podTemplate(label: 'jenkins-slave', cloud: 'kubernetes', containers: [
containerTemplate(
name: 'jnlp',
image: "${registry}/library/jenkins-slave-jdk:1.8"
),
],
volumes: [
hostPathVolume(mountPath: '/var/run/docker.sock', hostPath: '/var/run/docker.sock'),
hostPathVolume(mountPath: '/usr/bin/docker', hostPath: '/usr/bin/docker'),
hostPathVolume(mountPath: '/etc/localtime', hostPath: '/etc/localtime')
],
)
{
node("jenkins-slave"){
// 第一步
stage('拉取代码'){
checkout([$class: 'GitSCM', branches: [[name: '${Branch}']], userRemoteConfigs: [[credentialsId: "${git_auth}", url: "${git_address}"]]])
}
// 第二步
stage('代码编译'){
sh "mvn clean package -Dmaven.test.skip=true"
}
// 第三步
stage('构建镜像'){
//Harbor镜像仓库登录验证,
withCredentials([usernamePassword(credentialsId: "${docker_registry_auth}", passwordVariable: 'password', usernameVariable: 'username')]) {
sh """
echo '
FROM 10.40.6.165/project/java-demo:v1
RUN rm -rf /usr/local/tomcat/webapps/*
ADD target/*.war /usr/local/tomcat/webapps/ROOT.war
' > Dockerfile
ls
ls target
docker build -t ${image_name} .
docker login -u ${username} -p '${password}' ${registry}
docker push ${image_name}
"""
}
}
}
}
pipeline script代码可选择保存在git代码首目录的代码中
测试刚构建的镜像:
docker run -d -p 666:8080 10.40.6.165/project/java-demo:17
访问地址:http://10.40.6.213:666
八. Jenkins在K8s中持续部署
Kubernetes Continuous Deploy插件: 用于将资源配置部署到Kubernetes
插件介绍: https://plugins.jenkins.io/kubernetes-cd
支持以下资源类型:
• Deployment
• Replica Set
• Daemon Set
• Pod
• Job
• Service
• Ingress
• Secret
Jenkins将镜像部署到kubernetes需要配置:
①. 要连接kubernetes 需要用到kubeconfig配置文件,要在pipeline 中读取此配置文件,得配置到jenkins到凭据中,使用jenkins Kubernetes Continuous Deploy插件读取此凭据的ID(kubeconfigID)即可;
②. 指定部署哪个资源文件,deplayment yaml文件;
③. 资源是否使用到secret验证信息,得指定。
1. 生成kubeconfig
(1). 主体角色绑定
liuzhousheng 用户主体绑定deployment-secret角色:
mkdir deployment-client && cd deployment-client
创建角色权限
# cat rbac-role.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
name: deployment-secret
rules:
- apiGroups: [""]
resources: ["pods","services"]
verbs: ["get", "list", "watch", "create", "delete","update","patch"]
- apiGroups: ["extensions", "apps"]
resources: ["deployments","ingresses"]
verbs: ["get", "list", "watch", "create", "update", "patch", "delete"]
user liuzhousheng主体绑定deployment-secret角色
# cat rbac-rolebinding.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: deployment-rolebinding
subjects:
- kind: User
name: liuzhousheng # Name is case sensitive
apiGroup: rbac.authorization.k8s.io
roleRef:
kind: Role #this must be Role or ClusterRole
name: deployment-secret # this must match the name of the Role or ClusterRole you wish to bind to
apiGroup: rbac.authorization.k8s.io
# kubectl create -f rbac-role.yaml
# kubectl create -f rbac-rolebinding.yaml
(2). 生成kubeconfig配置文件
根据集群根证书颁发客户端证书,然后生成连接集群配置文件liuzhousheng-kubeconfig配置文件。
mkdir liuzhousheng && cd liuzhousheng
# cat rbac-user.sh
#!/bin/bash
cat > liuzhousheng-csr.json <
# cp /usr/local/src/k8s/kube-apiserver/{ca.pem,ca-key.pem,ca-config.json} ./
# bash rbac-user.sh
# cat liuzhousheng-kubeconfig
2. 配置kuberconfig凭据
将liuzhousheng-kubeconfig配置文件保存到jenkins凭据中
3. 编写deploy.yaml文件
将deploy.yaml文件提交到代码仓库中:
# cat deploy.yaml
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: web
spec:
replicas: 3
selector:
matchLabels:
app: java-demo
template:
metadata:
labels:
app: java-demo
spec:
imagePullSecrets:
- name: $SECRET_NAME
containers:
- name: tomcat
image: $IMAGE_NAME
ports:
- containerPort: 8080
name: web
livenessProbe:
httpGet:
path: /
port: 8080
initialDelaySeconds: 60
timeoutSeconds: 5
failureThreshold: 12
readinessProbe:
httpGet:
path: /
port: 8080
initialDelaySeconds: 60
timeoutSeconds: 5
failureThreshold: 12
---
apiVersion: v1
kind: Service
metadata:
name: web
spec:
type: NodePort
selector:
app: java-demo
ports:
- protocol: TCP
port: 80
targetPort: 8080
---
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
name: web
spec:
rules:
- host: java.example.com
http:
paths:
- path: /
backend:
serviceName: web
servicePort: 80
# git add .
# git commit -m 'deploy.yaml'
# git push origin master
4. 编写pipeline 脚步
pipeline脚本:
// 公共
def registry = "10.40.6.165"
// 项目
def project = "project"
def app_name = "java-demo"
def image_name = "${registry}/${project}/${app_name}:${BUILD_NUMBER}"
def git_address = "[email protected]:/home/git/java-demo.git"
// 认证
def secret_name = "registry-pull-secret"
def docker_registry_auth = "eba0f763-747e-47e3-a7ed-20eaf5cbab31" //Harbor login auth
def git_auth = "fec843cc-3cc4-4c97-969f-df0b0f1bcc50" //git login auth
def k8s_auth = "5a9f013d-b01e-43b6-b7d7-aef2b54c64c7" //k8s login auth
podTemplate(label: 'jenkins-slave', cloud: 'kubernetes', containers: [
containerTemplate(
name: 'jnlp',
image: "${registry}/library/jenkins-slave-jdk:1.8"
),
],
volumes: [
hostPathVolume(mountPath: '/var/run/docker.sock', hostPath: '/var/run/docker.sock'),
hostPathVolume(mountPath: '/usr/bin/docker', hostPath: '/usr/bin/docker'),
hostPathVolume(mountPath: '/etc/localtime', hostPath: '/etc/localtime')
],
)
{
node("jenkins-slave"){
// 第一步
stage('拉取代码'){
checkout([$class: 'GitSCM', branches: [[name: '${Branch}']], userRemoteConfigs: [[credentialsId: "${git_auth}", url: "${git_address}"]]])
}
// 第二步
stage('代码编译'){
sh "mvn clean package -Dmaven.test.skip=true"
}
// 第三步
stage('构建镜像'){
//Harbor镜像仓库登录验证,
withCredentials([usernamePassword(credentialsId: "${docker_registry_auth}", passwordVariable: 'password', usernameVariable: 'username')]) {
sh """
echo '
FROM 10.40.6.165/project/java-demo:v1
RUN rm -rf /usr/local/tomcat/webapps/*
ADD target/*.war /usr/local/tomcat/webapps/ROOT.war
' > Dockerfile
ls
ls target
docker build -t ${image_name} .
docker login -u ${username} -p '${password}' ${registry}
docker push ${image_name}
"""
}
}
// 第四步
stage('部署到K8S平台'){
sh """
sed -i 's#\$IMAGE_NAME#${image_name}#' deploy.yaml
sed -i 's#\$SECRET_NAME#${secret_name}#' deploy.yaml
"""
kubernetesDeploy configs: 'deploy.yaml', kubeconfigId: "${k8s_auth}"
}
}
}
脚本注意变量:
k8s_auth:jenkins保存kubeconfig配置凭据的ID
5. 创建harbor镜像仓库secret验证
pipeline脚步中的secret_name变量为:访问harbor镜像仓库私有库secret验证,在kubernetes master 创建,如下:
# kubectl create secret --help
# kubectl create secret docker-registry --help
# kubectl create secret docker-registry registry-pull-secret --docker-username=admin --docker-password=Harbor12345 [email protected] --docker-server=10.40.6.165
可选择通过yaml文件定义创建:
首先在其中一个node上登录私有仓库(docker 访问私库的配置,这里不做描述)
# docker login my.registry
登录成功后会在/root/.docker目录下生产config.json文件,然后执行如下命令:
# cat /root/.docker/config.json | base64 -w 0
该命令会将你的认证信息通过base64编码,生成一个编码之后的字符串。
在kubernetes中的master节点中创建registry-pull-secret-vpc.yaml:
# cat registry-pull-secret-vpc.yaml
apiVersion: v1
kind: Secret
metadata:
name: registry-pull-secret-vpc
namespace: test
data:
.dockerconfigjson: xxxxxxxxxx
type: kubernetes.io/dockerconfigjson
# kubectl apply -f registry-pull-secret-vpc.yaml
6. 配置代码拉取分支变量
Branch:代码拉取分支选择
7.构建测试
jenkins构建,然后绑定hosts访问 10.40.6.213 java.example.com
九. Pipeline脚本与源代码版本管理
1. Pipeline 脚本版本管理
将Pipeline 脚本内容保存到同源代码git代码仓库中的Jenkinsfile文件中,同代码版本控制
# ll
drwxr-xr-x 2 root root 34 6月 29 18:12 db
-rw-r--r-- 1 root root 1155 7月 1 22:09 deploy.yaml
-rw-r--r-- 1 root root 2255 7月 1 23:16 Jenkinsfile
-rw-r--r-- 1 root root 11357 6月 29 18:12 LICENSE
-rw-r--r-- 1 root root 1930 6月 29 18:12 pom.xml
-rw-r--r-- 1 root root 88 6月 29 18:12 README.md
drwxr-xr-x 3 root root 18 6月 29 18:12 src
# git add .
# git commit -m 'add Jenkinsfile'
# git push origin master
2. 修改jenkins Pipeline定义
修改jenkins UI配置
回滚:
# kubectl get deployment
# kubectl rollout history deployment web
回滚到上一个版本
# kubectl rollout history deployment web
回滚到指定版本
# kubectl rollout undo deployment web --to-revision=5
扩缩容:
# kubectl scale deployment web --replicas=5
十. K8s滚动发布实现原理
1. 滚动发布原理
每次只升级一个或多个服务,升级完成后加入
生产环境,不断执行这个过程,直到集群中的
全部旧版升级新版本。
特点:
• 用户无感知,平滑过渡 缺点:
• 部署周期长
• 发布策略较复杂
• 不易回滚
2. K8s滚动发布架构
1个Deployment
2个ReplicaSet
十一. 在K8s中实现灰度发布方案
1. 灰度发布原理
只升级部分服务,即让一部分用户继续用老版本,一 部分用户开始用新版本,如果用户对新版本没有什么 意见,那么逐步扩大范围,把所有用户都迁移到新版 本上面来。
特点:
• 保证整体系统稳定性
• 用户无感知,平滑过渡 缺点:
• 自动化要求高
2. K8s灰度发布架构
结合LB,2个Deployment
十二. 小结
❖ 使用Jenkins三个插件
• Kubernetes
• Pipeline
• Kubernetes Continuous Deploy
❖ CI/CD环境特点
• Slave弹性伸缩
• 基于镜像隔离构建环境 • 流水线发布,易维护
❖ Jenkins参数化构建可帮助你完成更复杂环境CI/CD