构建gitlab+Jenkins+harbor+kubernetes的DevOps持续集成持续部署环
构建gitlab+Jenkins+harbor+kubernetes的DevOps持续集成持续部署环境
整个环境的结构图。.jpg)
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一、准备工作
gitlab和harbor我是安装在kubernetes集群外的一台主机上的。
1.1、设置镜像源
docker-ce.repo
[root@support harbor]# cat /etc/yum.repos.d/docker-ce.repo
[docker-ce-stable]
name=Docker CE Stable - $basearch
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/$basearch/stable
enabled=1
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
[docker-ce-stable-debuginfo]
name=Docker CE Stable - Debuginfo $basearch
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/debug-$basearch/stable
enabled=0
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
[docker-ce-stable-source]
name=Docker CE Stable - Sources
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/source/stable
enabled=0
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
1.2、安装依赖包
[root@support yum.repos.d]# yum install -y docker-ce-18.09.7
[root@support yum.repos.d]# yum install -y docker-compose
[root@support yum.repos.d]# git
[root@support yum.repos.d]# cat /etc/docker/daemon.json
{"registry-mirrors": ["http://f1361db2.m.daocloud.io"]}
[root@support yum.repos.d]# systemctl start docker二、harbor部署
2.1、安装包
[root@support yum.repos.d]# wget -b https://storage.googleapis.com/harbor-releases/release-1.9.0/harbor-offline-installer-v1.9.0.tgz
Continuing in background, pid 9771.
Output will be written to ‘wget-log’.
[root@support ~]# tar zxf harbor-offline-installer-v1.9.0.tgz
[root@support ~]# cd harbor
[root@support harbor]# vi harbor.yml
hostname: 139.9.134.177
http:
port: 80802.2、部署
[root@support harbor]# ./prepare
[root@support harbor]# ./install.sh
[root@support harbor]# docker-compose ps
Name Command State Ports
-------------------------------------------------------------------------------------
harbor-core /harbor/harbor_core Up
harbor-db /docker-entrypoint.sh Up 5432/tcp
harbor-jobservice /harbor/harbor_jobservice Up
...
harbor-log /bin/sh -c /usr/local/bin/ Up 127.0.0.1:1514->10514/tcp
...
harbor-portal nginx -g daemon off; Up 8080/tcp
nginx nginx -g daemon off; Up 0.0.0.0:8080->8080/tcp
redis redis-server /etc/redis.conf Up 6379/tcp
registry /entrypoint.sh /etc/regist Up 5000/tcp
...
registryctl /harbor/start.sh Up 三、gitlab部署
3.1、拉取镜像
[root@support yum.repos.d]# docker pull gitlab/gitlab-ce
Using default tag: latest
latest: Pulling from gitlab/gitlab-ce
16c48d79e9cc: Pull complete
3c654ad3ed7d: Pull complete
6276f4f9c29d: Pull complete
a4bd43ad48ce: Pull complete
075ff90164f7: Pull complete
8ed147de678c: Pull complete
c6b08aab9197: Pull complete
6c15d9b5013c: Pull complete
de3573fbdb09: Pull complete
4b6e8211dc80: Verifying Checksum
latest: Pulling from gitlab/gitlab-ce
16c48d79e9cc: Pull complete
3c654ad3ed7d: Pull complete
6276f4f9c29d: Pull complete
a4bd43ad48ce: Pull complete
075ff90164f7: Pull complete
8ed147de678c: Pull complete
c6b08aab9197: Pull complete
6c15d9b5013c: Pull complete
de3573fbdb09: Pull complete
4b6e8211dc80: Pull complete
Digest: sha256:eee5fc2589f9aa3cd4c1c1783d5b89667f74c4fc71c52df54660c12cc493011b
Status: Downloaded newer image for gitlab/gitlab-ce:latest
docker.io/gitlab/gitlab-ce:latest
[root@support yum.repos.d]#3.2、启动容器
[root@bogon /]# docker run --detach \
--hostname 139.9.134.177 \
--publish 10443:443 --publish 10080:80 --publish 10022:22 \
--name gitlab \
--restart always \
--volume /opt/gitlab/config:/etc/gitlab \
--volume /opt/gitlab/logs:/var/log/gitlab \
--volume /opt/gitlab/data:/var/opt/gitlab \
gitlab/gitlab-ce:latestgit仓库初始化
git init --bare
git clone yum install jenkins -y
java -version
tail -f /var/log/jenkins/jenkins.log
log中输出jenkins网页端初始化密码。四、jenkins部署
github上的kubernetes集群部署 jenkins
https://github.com/jenkinsci/kubernetes-plugin/blob/master/src/main/kubernetes/jenkins.yml
4.1、NFS-PV动态供给
NFS服务准备
# yum安装nfs-utils
[root@support ~]# yum install -y nfs-utils
[root@support ~]# mkdir /ifs/kubernetes
[root@support ~]# cat /etc/exports
# 提供共享目录给10.0.0.0网段主机
/ifs/kubernetes 10.0.0.0/24(rw,no_root_squash)
[root@support ~]# systemctl start nfs
[root@support ~]# exportfs -arv
exporting 10.0.0.0/24:/ifs/kubernetesnfs.yaml
[root@master jenkins]# cat nfs.yaml
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: nfs-client-provisioner-runner
rules:
- apiGroups: [""]
resources: ["persistentvolumes"]
verbs: ["get", "list", "watch", "create", "delete"]
- apiGroups: [""]
resources: ["persistentvolumeclaims"]
verbs: ["get", "list", "watch", "update"]
- apiGroups: ["storage.k8s.io"]
resources: ["storageclasses"]
verbs: ["get", "list", "watch"]
- apiGroups: [""]
resources: ["events"]
verbs: ["create", "update", "patch"]
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: run-nfs-client-provisioner
subjects:
- kind: ServiceAccount
name: nfs-client-provisioner
namespace: default
roleRef:
kind: ClusterRole
name: nfs-client-provisioner-runner
apiGroup: rbac.authorization.k8s.io
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: leader-locking-nfs-client-provisioner
rules:
- apiGroups: [""]
resources: ["endpoints"]
verbs: ["get", "list", "watch", "create", "update", "patch"]
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: leader-locking-nfs-client-provisioner
subjects:
- kind: ServiceAccount
name: nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: default
roleRef:
kind: Role
name: leader-locking-nfs-client-provisioner
apiGroup: rbac.authorization.k8s.io
---
kind: StorageClass
apiVersion: storage.k8s.io/v1
metadata:
name: managed-nfs-storage
provisioner: fuseim.pri/ifs # or choose another name, must match deployment's env PROVISIONER_NAME'
parameters:
archiveOnDelete: "true"
---
kind: ServiceAccount
apiVersion: v1
metadata:
name: nfs-client-provisioner
---
kind: Deployment
apiVersion: apps/v1
metadata:
name: nfs-client-provisioner
spec:
replicas: 1
strategy:
type: Recreate
selector:
matchLabels:
app: nfs-client-provisioner
template:
metadata:
labels:
app: nfs-client-provisioner
spec:
serviceAccountName: nfs-client-provisioner
containers:
- name: nfs-client-provisioner
image: lizhenliang/nfs-client-provisioner:latest
volumeMounts:
- name: nfs-client-root
mountPath: /persistentvolumes
env:
- name: PROVISIONER_NAME
value: fuseim.pri/ifs
- name: NFS_SERVER
value: 10.0.0.123
- name: NFS_PATH
value: /ifs/kubernetes
volumes:
- name: nfs-client-root
nfs:
server: 10.0.0.123
path: /ifs/kubernetes
[root@master jenkins]## 创建PV动态供给
root@master jenkins]# kubectl apply -f nfs.yaml4.2、Jenkins在kubernetes上部署
jenkins-master调度到K8S的master节点。
.jpg)
jenkins.yaml
[root@master jenkins]# cat jenkins.yaml
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
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: jenkins
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
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"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: jenkins
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: jenkins
subjects:
- kind: ServiceAccount
name: jenkins
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: jenkins
labels:
name: jenkins
spec:
serviceName: jenkins
replicas: 1
updateStrategy:
type: RollingUpdate
selector:
matchLabels:
name: jenkins
template:
metadata:
name: jenkins
labels:
name: jenkins
spec:
terminationGracePeriodSeconds: 10
serviceAccountName: jenkins
# 调度到主节点上
nodeSelector:
labelName: master
# 容忍主节点污点
tolerations:
- key: node-role.kubernetes.io/master
effect: NoSchedule
containers:
- name: jenkins
image: jenkins/jenkins:lts-alpine
imagePullPolicy: Always
ports:
- containerPort: 8080
- containerPort: 50000
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
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# 创建jenkins Pod
root@master jenkins]# kubectl apply -f jenkins.yaml
# 打开浏览器访问jenkins地址
http://139.9.139.49:30006/
# 卡在启动界面好久
[root@support default-jenkins-home-jenkins-0-pvc-ea84462f-241e-4d38-a408-e07a59d4bf0e]# cat hudson.model.UpdateCenter.xml
default
http://mirror.xmission.com/jenkins/updates/update-center.json
4.3、插件安装
在jenkins中安装插件 系统管理 --> 插件管理
4.3.1、需要下载的插件列表
Git plugin git
GitLab Plugin gitlab
Kubernetes plugin 动态创建代理
Pipeline 流水线
Email Extension 邮件扩展安装插件实在太慢。几kb每秒 ╮(￣▽￣)╭
我们有一个思路解决这个问题 []~(￣▽￣)~*
4.3.2、告诉jenkins 我哪些插件需要更新
使用清华大学镜像地址https://mirrors.tuna.tsinghua.edu.cn/jenkins/updates/update-center.json
1.进入jenkins系统管理
2.进入插件管理（Manage Plugins）
.jpg)
-- > 高级 -- > 升级站点
4.3.3、原理
https://mirrors.tuna.tsinghua.edu.cn/jenkins/updates/update-center.json 这个文件里面 包含了所有插件的更新地址，清华把这个文件拿过来了，但是没有把里面的插件升级地址改成清华。下载插件还是要到国外主机去下载，这样只会获取更新信息快，实际下载插件慢的一批。
curl -vvvv http://updates.jenkins-ci.org/download/plugins/ApicaLoadtest/1.10/ApicaLoadtest.hpi
302到
http://mirrors.jenkins-ci.org/plugins/ApicaLoadtest/1.10/ApicaLoadtest.hpi
又重定向到一个ftp地址分流。
清华的地址是：
https://mirrors.tuna.tsinghua.edu.cn/jenkins/plugins/ApicaLoadtest/1.10/ApicaLoadtest.hpi
只要把mirrors.jenkins-ci.org 代理到 mirrors.tuna.tsinghua.edu.cn/jenkins 即可。4.3.4、欺骗jenkins去清华下载插件
绑定 mirrors.jenkins-ci.org 域名到本机 /etc/hosts 中
[root@support nginx]# cat /etc/hosts
127.0.0.1 mirrors.jenkins-ci.orgnginx反向代理至清华的jenkins插件下载地址
[root@support ~]# cat /etc/nginx/nginx.conf
user nginx;
worker_processes auto;
error_log /var/log/nginx/error.log;
pid /run/nginx.pid;
include /usr/share/nginx/modules/*.conf;
events {
worker_connections 1024;
}
http {
access_log /var/log/nginx/access.log;
sendfile on;
tcp_nopush on;
tcp_nodelay on;
keepalive_timeout 65;
types_hash_max_size 2048;
include /etc/nginx/mime.types;
default_type application/octet-stream;
server
{
listen 80;
server_name mirrors.jenkins-ci.org;
root /usr/share/nginx/html;
location / {
proxy_redirect off;
proxy_pass https://mirrors.tuna.tsinghua.edu.cn/jenkins/;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header Accept-Encoding "";
proxy_set_header Accept-Language "zh-CN";
}
index index.html index.htm index.php;
location ~ /\.
{
deny all;
}
}
}最后我们来看一下nginx访问日志。从本机发送的jenkins下载插件的请求全部转发到清华镜像源了。
127.0.0.1 - - [14/Oct/2019:23:40:32 +0800] "GET /plugins/kubernetes-credentials/0.4.1/kubernetes-credentials.hpi HTTP/1.1" 200 17893 "-" "Java/1.8.0_222"
127.0.0.1 - - [14/Oct/2019:23:40:37 +0800] "GET /plugins/variant/1.3/variant.hpi HTTP/1.1" 200 10252 "-" "Java/1.8.0_222"
127.0.0.1 - - [14/Oct/2019:23:40:40 +0800] "GET /plugins/kubernetes-client-api/4.6.0-2/kubernetes-client-api.hpi HTTP/1.1" 200 11281634 "-" "Java/1.8.0_222"
127.0.0.1 - - [14/Oct/2019:23:40:42 +0800] "GET /plugins/kubernetes/1.20.0/kubernetes.hpi HTTP/1.1" 200 320645 "-" "Java/1.8.0_222"
127.0.0.1 - - [14/Oct/2019:23:40:45 +0800] "GET /plugins/git/3.12.1/git.hpi HTTP/1.1" 200 2320552 "-" "Java/1.8.0_222"
127.0.0.1 - - [14/Oct/2019:23:40:47 +0800] "GET /plugins/gitlab-plugin/1.5.13/gitlab-plugin.hpi HTTP/1.1" 200 8456411 "-" "Java/1.8.0_222"按照推荐做法，发现速度太快了，基本上秒下 (￣ˇ￣) 网上的大部分教程只做到第一步，设置完了，有时候能加速，有时候不能，这才是真正的最终解决方案。
当然为了做到这一步踩了一晚上的坑，首先在K8S中以pod部署的jenkins不能用这种代理方式。在苦试无果后，我只能非常粗暴的在NFS服务器上安装了一个同版本的jenkins，实测发现pod中的本地持久目录/var/jenkins_home所对应的路径中的文件直接拷贝至/var/lib/jenkins中，这个新jenkins的运行状态与pod中的jenkins一致。所以在新jenkins下载插件后，将插件目录/var/lib/jenkins/plugins直接拷贝进pod持久卷即可。
4.4、gitlab触发jenkins
4.4.1、gitlab生成token
复制此token，此token只显示一次：vze6nS8tLAQ1dVpdaHYU
4.4.2、jenkins配置连接gitlab
点击 系统管理 --> 系统设置，找到gitlab
类型选择gitlab api token，将gitab生成的token填入
4.4.3、创建jenkins任务
这个地址用来设置gitlab的webhook：http://139.9.139.49:30006/project/gitlab-citest-pipeline
点击生成token：2daf58bf638f04ce9e201ef0df9bec0f
此token也是用来设置gitlab的webhook
4.4.4、gitlab设置webhooks
4.4.5、提交代码至gitlab触发jenkins任务
先将gitlab上面的仓库克隆至本地
[root@support ~]# git clone http://139.9.134.177:10080/miao/citest.git
Cloning into 'citest'...
remote: Enumerating objects: 3, done.
remote: Counting objects: 100% (3/3), done.
remote: Total 3 (delta 0), reused 0 (delta 0)
Unpacking objects: 100% (3/3), done.修改后提交代码至gitlab
[root@support citest]# git commit -m "Testing gitlab and jenkins Connection #1"
[master 03264a7] Testing gitlab and jenkins Connection 1
1 file changed, 3 insertions(+), 1 deletion(-)
[root@support citest]# git push origin master
Username for 'http://139.9.134.177:10080': miao
Password for 'http://miao@139.9.134.177:10080':
Counting objects: 5, done.
Writing objects: 100% (3/3), 294 bytes | 0 bytes/s, done.
Total 3 (delta 0), reused 0 (delta 0)
To http://139.9.134.177:10080/miao/citest.git
25f05bb..03264a7 master -> masterjenkins任务已经开始执行
显示任务由gitlab触发，第一阶段成功。
4.5、jenkins在kubernetes中创建动态代理
我们这里使用了Docker in Docker技术，就是把jenkins部署在k8s里。jenkins master会动态创建slave pod，使用slave pod运行代码克隆，项目构建，镜像构建等指令操作。构成完成以后删除这个slave pod。减轻jenkins-master的负载，可以极大地提高资源利用率。
4.5.1、配置连接kubernetes
我们已经安装了Kubernetes插件，我们直接在jenkins中点击
系统管理 -- > 系统设置 -- > 拉到最底下有一个云。
新增一个云 --> kubernetes
因为jenkins是直接运行在k8s上的，所以可以直接通过k8s的DNS访问kubernetes的service名称的。点击 --> 测试连接，成功连接k8s。
然后点击-->保存
4.5.2、构建Jenkins-Slave镜像
github官方构建slave文档
https://github.com/jenkinsci/docker-jnlp-slave
构建jenkins-slave镜像我们需要准备四个文件
1、在jenkins地址栏输入下列地址获取slave.jar
http://119.3.226.210:30006/jnlpJars/slave.jar
2、slave.jar的启动脚本jenkins-slave
[root@support jenkins-slave]# 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 $OPT_JENKINS_AGENT_NAME "$@"
fi3、maven的配置文件
[root@support jenkins-slave]# cat settings.xml
central
central
aliyun maven
https://maven.aliyun.com/repository/public
4、Dockerfile
FROM centos:7
LABEL maintainer lizhenliang
# 使镜像具有拖git仓库，编译java代码的能力
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
# 将获取到slave.jar放入镜像
COPY slave.jar /usr/share/jenkins/slave.jar
# jenkins-slave执行脚本
COPY jenkins-slave /usr/bin/jenkins-slave
# settings.xml中设置了aliyun的镜像
COPY settings.xml /etc/maven/settings.xml
RUN chmod +x /usr/bin/jenkins-slave
ENTRYPOINT ["jenkins-slave"]把这4个文件放在同级目录下，接下来我们开始构建slave镜像
构建镜像并打上标签
[root@support jenkins-slave]# docker build . -t 139.9.134.177:8080/jenkinsci/jenkins-slave-jdk:1.8
[root@support jenkins-slave]# docker image ls
REPOSITORY TAG IMAGE ID CREATED SIZE
139.9.134.177:8080/jenkinsci/jenkins-slave-jdk 1.8 940e56848837 3 minutes ago 535MB开始推送镜像
http登录拒绝，docker默认是https的，需要修改daemon.json
[root@support jenkins-slave]# docker login 139.9.134.177:8080
Username: admin
Password:
Error response from daemon: Get https://139.9.134.177:8080/v2/: http: server gave HTTP response to HTTPS client
# 增加http的信任
[root@support ~]# cat /etc/docker/daemon.json
{
"registry-mirrors": ["http://f1361db2.m.daocloud.io"],
"insecure-registries": ["http://139.9.134.177:8080"]
}
# 成功登录
[root@support ~]# docker login 139.9.134.177:8080
Username: admin
Password:
WARNING! Your password will be stored unencrypted in /root/.docker/config.json.
Configure a credential helper to remove this warning. See
https://docs.docker.com/engine/reference/commandline/login/#credentials-store
Login Succeeded所有的k8s主机也需要配置访问harbor的地址。重启docker服务。
我们设置信任的地址为内网地址，以保证足够的速度。
4.5.3、Jenkins任务由k8s的pod执行
使用以下pipeline脚本动态创建pod
// 镜像仓库地址
def registry = "10.0.0.123:8080"
podTemplate(label: 'jenkins-agent', cloud: 'kubernetes',
containers: [
containerTemplate(
name: 'jnlp',
image: "${registry}/jenkinsci/jenkins-slave-jdk:1.8"
)],
volumes: [
hostPathVolume(mountPath: '/var/run/docker.sock', hostPath: '/var/run/docker.sock'),
hostPathVolume(mountPath: '/usr/bin/docker', hostPath: '/usr/bin/docker')
])
{
node("jenkins-agent"){
stage('拉取代码') { // for display purposes
git 'http://139.9.134.177:10080/miao/citest.git'
sh 'ls'
}
stage('代码编译') {
echo 'ok'
}
stage('部署') {
echo 'ok'
}
}
}4.6、使用pipeline脚本持续集成
使用pipeline脚本将每次提交gitlab的代码拉取下来，编译为docker镜像推送至harbor中。
在这里我们需要先配置两个凭据，因为我们gitlab代码仓库是私有的，harbor仓库也是私有的，只有配置凭据jenkins才能访问。
输入gitlab的账号和密码，生成一个凭据后，复制凭据的id，在pipeline中引用
输入harbor的账号和密码，生成一个凭据后，复制凭据的id，在pipeline中引用
// 镜像仓库地址
def registry = "10.0.0.123:8080"
// 镜像仓库项目
def project = "jenkinsci"
// 镜像名称
def app_name = "citest"
// 镜像完整名称
def image_name = "${registry}/${project}/${app_name}:${BUILD_NUMBER}"
// git仓库地址
def git_address = "http://139.9.134.177:10080/miao/citest.git"
// 认证
def harbor_auth = "db4b7f06-7df6-4da7-b5b1-31e91b7a70e3"
def gitlab_auth = "53d88c8f-3063-4048-9205-19fc6222b887"
podTemplate(
label: 'jenkins-agent',
cloud: 'kubernetes',
containers: [
containerTemplate(
name: 'jnlp',
image: "${registry}/jenkinsci/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')
]
)
{
node("jenkins-agent"){
stage('拉取代码') { // for display purposes
checkout([$class: 'GitSCM', branches: [[name: '${Branch}']], userRemoteConfigs: [[credentialsId: "${gitlab_auth}", url: "${git_address}"]]])
sh "ls"
}
stage('代码编译') {
sh "mvn clean package -Dmaven.test.skip=true"
sh "ls"
}
stage('构建镜像') {
withCredentials([usernamePassword(credentialsId: "${harbor_auth}", passwordVariable: 'password', usernameVariable: 'username')]) {
sh """
echo '
FROM tomcat
LABEL maintainer miaocunfa
RUN rm -rf /usr/local/tomcat/webapps/*
ADD target/*.war /usr/local/tomcat/webapps/ROOT.war
' > Dockerfile
docker build -t ${image_name} .
docker login -u ${username} -p '${password}' ${registry}
docker push ${image_name}
"""
}
}
}
}写脚本用来提交gitlab
[root@support ~]# cat gitpush.sh
testdate=$(date)
cd /root/citest
echo $testdate >> pod-slave.log
git add -A
git commit -m "$testdate"
git push origin master代码提交已经触发了编号为33的任务开始构建。
jenkins构建过程中的日志。
jenkins构建成功后，harbor中已经有了标签为33的镜像。
4.7、Jenkins在Kubernetes中持续部署
已经成功使用jenkins构建好镜后，接下来完成将镜像部署在K8s平台。这个过程我们需要用到插件Kubernetes Continuous Deploy Plugin
4.7.1、k8s认证
将.kube/config的内容拷贝至jenkins中生成凭据
拷贝凭据的id到pipeline脚本中引用
4.7.2、k8s添加harbor仓库secret
[root@master ~]# kubectl create secret docker-registry harbor-pull-secret --docker-server='http://10.0.0.123:8080' --docker-username='admin' --docker-password='Harbor12345'
secret/harbor-pull-secret created4.7.3、pipeline脚本
// 镜像仓库地址
def registry = "10.0.0.123:8080"
// 镜像仓库项目
def project = "jenkinsci"
// 镜像名称
def app_name = "citest"
// 镜像完整名称
def image_name = "${registry}/${project}/${app_name}:${BUILD_NUMBER}"
// git仓库地址
def git_address = "http://139.9.134.177:10080/miao/citest.git"
// 认证
def harbor_auth = "db4b7f06-7df6-4da7-b5b1-31e91b7a70e3"
def gitlab_auth = "53d88c8f-3063-4048-9205-19fc6222b887"
// K8s认证
def k8s_auth = "586308fb-3f92-432d-a7f7-c6d6036350dd"
// harbor仓库secret_name
def harbor_registry_secret = "harbor-pull-secret"
// k8s部署后暴露的nodePort
def nodePort = "30666"
podTemplate(
label: 'jenkins-agent',
cloud: 'kubernetes',
containers: [
containerTemplate(
name: 'jnlp',
image: "${registry}/jenkinsci/jenkins-slave-jdk:1.8"
)
],
volumes: [
hostPathVolume(mountPath: '/var/run/docker.sock', hostPath: '/var/run/docker.sock'),
hostPathVolume(mountPath: '/usr/bin/docker', hostPath: '/usr/bin/docker')
]
)
{
node("jenkins-agent"){
stage('拉取代码') { // for display purposes
checkout([$class: 'GitSCM', branches: [[name: '${Branch}']], userRemoteConfigs: [[credentialsId: "${gitlab_auth}", url: "${git_address}"]]])
sh "ls"
}
stage('代码编译') {
sh "mvn clean package -Dmaven.test.skip=true"
sh "ls"
}
stage('构建镜像') {
withCredentials([usernamePassword(credentialsId: "${harbor_auth}", passwordVariable: 'password', usernameVariable: 'username')]) {
sh """
echo '
FROM tomcat
LABEL maintainer miaocunfa
RUN rm -rf /usr/local/tomcat/webapps/*
ADD target/*.war /usr/local/tomcat/webapps/ROOT.war
' > Dockerfile
docker build -t ${image_name} .
docker login -u ${username} -p '${password}' ${registry}
docker push ${image_name}
"""
}
}
stage('部署到K8s'){
sh """
sed -i 's#\$IMAGE_NAME#${image_name}#' deploy.yml
sed -i 's#\$SECRET_NAME#${harbor_registry_secret}#' deploy.yml
sed -i 's#\$NODE_PORT#${nodePort}#' deploy.yml
"""
kubernetesDeploy configs: 'deploy.yml', kubeconfigId: "${k8s_auth}"
}
}
}deploy.yaml
用来将镜像部署为deployment控制器控制的pod，放在代码仓库中跟代码一起推送。
kind: Deployment
apiVersion: apps/v1
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: 20
timeoutSeconds: 5
failureThreshold: 3
readinessProbe:
httpGet:
path: /
port: 8080
initialDelaySeconds: 20
timeoutSeconds: 5
failureThreshold: 3
---
kind: Service
apiVersion: v1
metadata:
name: web
spec:
type: NodePort
selector:
app: java-demo
ports:
- protocol: TCP
port: 80
targetPort: 8080
nodePort: $NODE_PORT4.7.4、推送
下面是整个完整的CI/CD流程
1、git推送代码至gitlab代码仓库
2、gitlab使用webhook触发jenkins任务
左下角webhook已经触发，编号为53的jenkins任务已经开始
jenkins任务流程
3、harbor镜像仓库
tag标签为53的镜像也已经推送至harbor
4、使用kubectl监控pods的变化
jenkins在任务流程中会先构建slave pod，在执行完将镜像部署到kubernetes后，slave pod会销毁，web镜像处于running状态。
5、邮件通知
在整个jenkins任务执行成功后，发送邮件通知
邮件的配置会在4.8优化部分贴出来。
4.8、优化部分
4.8.1、pipeline脚本跟代码一起托管
Jenkinsfile放在代码仓库的好处就是，可以对Jenkinsfile也做一个版本的管理，与当前项目生命周期是一致的。
首先将pipeline脚本保存至本地git仓库中，文件名为Jenkinsfile
jenkins配置如下
4.8.2、构建成功后添加邮件通知
1、邮件通知需要用到已经安装好的一个插件Email Extension
2、Email Extension的配置
3、邮件模板内容，html模板
4、系统默认邮件服务配置，配置完可以发送测试邮件。
5、测试邮件内容
邮件模板
${ENV, var="JOB_NAME"}-第${BUILD_NUMBER}次构建日志
本邮件由系统自动发出，无需回复！
各位同事，大家好，以下为${PROJECT_NAME }项目构建信息
构建结果 - ${BUILD_STATUS}
构建信息
- 项目名称 ： ${PROJECT_NAME}
- 构建编号 ： 第${BUILD_NUMBER}次构建
- 触发原因 ： ${CAUSE}
- 构建状态 ： ${BUILD_STATUS}
- 构建信息 ： ${BUILD_URL}
- 构建日志 ： ${BUILD_URL}console
- 构建历史 ： ${PROJECT_URL}
失败用例
$FAILED_TESTS
最近提交(#$SVN_REVISION)
${CHANGES_SINCE_LAST_SUCCESS, reverse=true, format="%c", changesFormat="- %d [%a] %m
"}
详细提交: ${PROJECT_URL}changes
在持续集成这一块我还是一个初学者，期望得到您的指点。
本文题目：构建gitlab+Jenkins+harbor+kubernetes的DevOps持续集成持续部署环
链接分享：http://cdiso.cn/article/pgppce.html
