K8S+Jenkins+Harbor+Docker+gitlab集群部署

K8S+Jenkins+Harbor+Docker+gitlab服务器集群部署

所需资源下载地址

将此文章写给我最心爱的女孩

1.准备以下服务器

centos7系统：CentOS-7-x86_64-Minimal-2009.iso

所有服务器账号root 密码:123456

vmware17虚拟机

服务/结点	Ip地址	配置
k8s-master	192.168.85.141	2CPU/2核 4G内存
k8s-node1	192.168.85.142	2CPU/2核 4G内存
k8s-node2	192.168.85.143	2CPU/2核 4G内存
Jenkins	192.168.85.144	2CPU/2核 8G内存
Gitlab	192.168.85.145	2CPU/2核 8G内存
Harbor	192.168.85.146	2CPU/2核 8G内存

2.所有服务器统一处理执行

2.1 关闭防火墙

systemctl stop firewalld
systemctl disable firewalld

2.2 关闭selinux

sed -i 's/enforcing/disabled/' /etc/selinux/config  #永久
setenforce 0  #临时

2.3 关闭swap（k8s禁止虚拟内存以提高性能）

sed -ri 's/.*swap.*/#&/' /etc/fstab #永久
swapoff -a #临时

2.4 更新yum (看需要更新)

yum -y update

2.5 时间同步

yum install ntpdate -y	#若是没有这个工具的需要下载
ntpdate time.windows.com

2.6 安装wget、vim

yum install wget -y
yum install vim -y

2.7 更新Docker的yum源

wget https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo -O /etc/yum.repos.d/docker-ce.repo

2.8 查看Docker版本

yum list docker-ce --showduplicates|sort -r

2.9 下载docker

yum install docker-ce-20.10.9 -y

2.10 进入/etc目录创建docker目录

cd /etc
mkdir docker

2.11 配置国内镜像加速器

sudo vim /etc/docker/daemon.json

{
      "registry-mirrors" : ["https://q5bf287q.mirror.aliyuncs.com", "https://registry.docker-cn.com","http://hub-mirror.c.163.com"],
 	 "exec-opts": ["native.cgroupdriver=systemd"]
}

2.12 docker自动启动

systemctl enable docker.service

2.13 启动docker

sudo systemctl daemon-reload
service docker start

2.14 安装rz上传插件

yum install lrzsz

3.k8s服务器配置

3.1 添加k8s的阿里云yum源

cat > /etc/yum.repos.d/kubernetes.repo << EOF
[kubernetes]
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=0
repo_gpgcheck=0
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF

3.2 安装 kubeadm，kubelet 和 kubectl

yum install kubelet-1.23.6 kubeadm-1.23.6 kubectl-1.23.6 -y

3.3 k8s自启动

systemctl enable kubelet.service

3.4 查询是否安装成功

yum list installed | grep kubelet
yum list installed | grep kubeadm
yum list installed | grep kubectl

3.5 修改三台主机名(ip自行配置)

cat >> /etc/hosts << EOF
192.168.85.141 k8s-master
192.168.85.142 k8s-node1
192.168.85.143 k8s-node2
EOF

3.6 设置网桥参数

cat > /etc/sysctl.d/k8s.conf << EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
sysctl --system  #生效

3.7 k8s-master主节点初始化

kubeadm init --apiserver-advertise-address=192.168.85.141 --image-repository registry.aliyuncs.com/google_containers --kubernetes-version v1.23.6 --service-cidr=10.96.0.0/16 --pod-network-cidr=10.244.0.0/16

运行结果

[root@localhost etc]# kubeadm init --apiserver-advertise-address=192.168.85.141 --image-repository registry.aliyuncs.com/google_containers --kubernetes-version v1.23.6 --service-cidr=10.96.0.0/16 --pod-network-cidr=10.244.0.0/16
[init] Using Kubernetes version: v1.23.6
[preflight] Running pre-flight checks
[preflight] Pulling images required for setting up a Kubernetes cluster
[preflight] This might take a minute or two, depending on the speed of your internet connection
[preflight] You can also perform this action in beforehand using 'kubeadm config images pull'
[certs] Using certificateDir folder "/etc/kubernetes/pki"
[certs] Generating "ca" certificate and key
[certs] Generating "apiserver" certificate and key
[certs] apiserver serving cert is signed for DNS names [kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local localhost.localdomain] and IPs [10.96.0.1 192.168.85.141]
[certs] Generating "apiserver-kubelet-client" certificate and key
[certs] Generating "front-proxy-ca" certificate and key
[certs] Generating "front-proxy-client" certificate and key
[certs] Generating "etcd/ca" certificate and key
[certs] Generating "etcd/server" certificate and key
[certs] etcd/server serving cert is signed for DNS names [localhost localhost.localdomain] and IPs [192.168.85.141 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [localhost localhost.localdomain] and IPs [192.168.85.141 127.0.0.1 ::1]
[certs] Generating "etcd/healthcheck-client" certificate and key
[certs] Generating "apiserver-etcd-client" certificate and key
[certs] Generating "sa" key and public key
[kubeconfig] Using kubeconfig folder "/etc/kubernetes"
[kubeconfig] Writing "admin.conf" kubeconfig file
[kubeconfig] Writing "kubelet.conf" kubeconfig file
[kubeconfig] Writing "controller-manager.conf" kubeconfig file
[kubeconfig] Writing "scheduler.conf" kubeconfig file
[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet-start] Starting the kubelet
[control-plane] Using manifest folder "/etc/kubernetes/manifests"
[control-plane] Creating static Pod manifest for "kube-apiserver"
[control-plane] Creating static Pod manifest for "kube-controller-manager"
[control-plane] Creating static Pod manifest for "kube-scheduler"
[etcd] Creating static Pod manifest for local etcd in "/etc/kubernetes/manifests"
[wait-control-plane] Waiting for the kubelet to boot up the control plane as static Pods from directory "/etc/kubernetes/manifests". This can take up to 4m0s
[apiclient] All control plane components are healthy after 10.519327 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.23" in namespace kube-system with the configuration for the kubelets in the cluster
NOTE: The "kubelet-config-1.23" naming of the kubelet ConfigMap is deprecated. Once the UnversionedKubeletConfigMap feature gate graduates to Beta the default name will become just "kubelet-config". Kubeadm upgrade will handle this transition transparently.
[upload-certs] Skipping phase. Please see --upload-certs
[mark-control-plane] Marking the node localhost.localdomain as control-plane by adding the labels: [node-role.kubernetes.io/master(deprecated) node-role.kubernetes.io/control-plane node.kubernetes.io/exclude-from-external-load-balancers]
[mark-control-plane] Marking the node localhost.localdomain as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: 2pw233.jhsl6y1ysijtafc7
[bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles
[bootstrap-token] configured RBAC rules to allow Node Bootstrap tokens to get nodes
[bootstrap-token] configured RBAC rules to allow Node Bootstrap tokens to post CSRs in order for nodes to get long term certificate credentials
[bootstrap-token] configured RBAC rules to allow the csrapprover controller automatically approve CSRs from a Node Bootstrap Token
[bootstrap-token] configured RBAC rules to allow certificate rotation for all node client certificates in the cluster
[bootstrap-token] Creating the "cluster-info" ConfigMap in the "kube-public" namespace
[kubelet-finalize] Updating "/etc/kubernetes/kubelet.conf" to point to a rotatable kubelet client certificate and key
[addons] Applied essential addon: CoreDNS
[addons] Applied essential addon: kube-proxy

Your Kubernetes control-plane has initialized successfully!

To start using your cluster, you need to run the following as a regular user:

  mkdir -p $HOME/.kube
  sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
  sudo chown $(id -u):$(id -g) $HOME/.kube/config

Alternatively, if you are the root user, you can run:

  export KUBECONFIG=/etc/kubernetes/admin.conf

You should now deploy a pod network to the cluster.
Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:
  https://kubernetes.io/docs/concepts/cluster-administration/addons/

Then you can join any number of worker nodes by running the following on each as root:

kubeadm join 192.168.85.141:6443 --token 2pw233.jhsl6y1ysijtafc7 \
	--discovery-token-ca-cert-hash sha256:230fdb6f83dd9e81ff421e0be7d681de6df630501395c51e6376c76ca2df81ee 

根据结果提示在master主节点上执行

mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config

查询节点是否成功

[root@localhost etc]# kubectl get nodes
NAME         STATUS   ROLES                  AGE    VERSION
k8s-master   Ready    control-plane,master   107s   v1.23.6

提示：

如果没有显示k8s-master而是显示localhost.localdomain

那么就执行：

kubeadm reset

然后重新初始化操作！！

在node节点上执行添加操作

kubeadm join 192.168.85.141:6443 --token j4e0j9.e0ixp8ythubqguo0 \
	--discovery-token-ca-cert-hash sha256:27eb6ef95e8c8ecbef3913c7a0a6921ce3dcbaf10d6534d33ef102e26c984e3e

成功添加显示

[root@localhost etc]# kubeadm join 192.168.85.141:6443 --token 2pw233.jhsl6y1ysijtafc7 \
> --discovery-token-ca-cert-hash sha256:230fdb6f83dd9e81ff421e0be7d681de6df630501395c51e6376c76ca2df81ee 
[preflight] Running pre-flight checks
[preflight] Reading configuration from the cluster...
[preflight] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -o yaml'
[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[kubelet-start] Starting the kubelet
[kubelet-start] Waiting for the kubelet to perform the TLS Bootstrap...

This node has joined the cluster:
* Certificate signing request was sent to apiserver and a response was received.
* The Kubelet was informed of the new secure connection details.

Run 'kubectl get nodes' on the control-plane to see this node join the cluster.

主节点执行

[root@localhost etc]# kubectl get nodes
NAME         STATUS   ROLES                  AGE     VERSION
k8s-master   Ready    control-plane,master   6m22s   v1.23.6
k8s-node1    Ready    <none>                 22s     v1.23.6
k8s-node2    Ready    <none>                 18s     v1.23.6

如果没有显示node节点的话

就在node节点上执行

kubeadm reset

然后重新kubeadm join操作

如果node节点无法使用kubectl get nodes,那么就在node节点执行以下命令

mkdir ~/.kube
vim ~/.kube/config
# 复制master节点的内容 cat ~/.kube/config
# 将内容添加到node节点刚才创建的config里面即可！！！

3.8 部署网络插件 用于节点之间的项目通讯

(在master上操作)

wget https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml

有时候可能会下载失败

[root@k8s-master docker]# wget https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
--2023-01-05 16:28:08--  https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
正在解析主机 raw.githubusercontent.com (raw.githubusercontent.com)... 0.0.0.0, ::
正在连接 raw.githubusercontent.com (raw.githubusercontent.com)|0.0.0.0|:443... 失败：拒绝连接。
正在连接 raw.githubusercontent.com (raw.githubusercontent.com)|::|:443... 失败：拒绝连接。

采用浏览器打开复制，添加kube-flannel.yml文件即可

---
kind: Namespace
apiVersion: v1
metadata:
  name: kube-flannel
  labels:
    pod-security.kubernetes.io/enforce: privileged
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: flannel
rules:
- apiGroups:
  - ""
  resources:
  - pods
  verbs:
  - get
- apiGroups:
  - ""
  resources:
  - nodes
  verbs:
  - get
  - list
  - watch
- apiGroups:
  - ""
  resources:
  - nodes/status
  verbs:
  - patch
- apiGroups:
  - "networking.k8s.io"
  resources:
  - clustercidrs
  verbs:
  - list
  - watch
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: flannel
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: flannel
subjects:
- kind: ServiceAccount
  name: flannel
  namespace: kube-flannel
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: flannel
  namespace: kube-flannel
---
kind: ConfigMap
apiVersion: v1
metadata:
  name: kube-flannel-cfg
  namespace: kube-flannel
  labels:
    tier: node
    app: flannel
data:
  cni-conf.json: |
    {
      "name": "cbr0",
      "cniVersion": "0.3.1",
      "plugins": [
        {
          "type": "flannel",
          "delegate": {
            "hairpinMode": true,
            "isDefaultGateway": true
          }
        },
        {
          "type": "portmap",
          "capabilities": {
            "portMappings": true
          }
        }
      ]
    }
  net-conf.json: |
    {
      "Network": "10.244.0.0/16",
      "Backend": {
        "Type": "vxlan"
      }
    }
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: kube-flannel-ds
  namespace: kube-flannel
  labels:
    tier: node
    app: flannel
spec:
  selector:
    matchLabels:
      app: flannel
  template:
    metadata:
      labels:
        tier: node
        app: flannel
    spec:
      affinity:
        nodeAffinity:
          requiredDuringSchedulingIgnoredDuringExecution:
            nodeSelectorTerms:
            - matchExpressions:
              - key: kubernetes.io/os
                operator: In
                values:
                - linux
      hostNetwork: true
      priorityClassName: system-node-critical
      tolerations:
      - operator: Exists
        effect: NoSchedule
      serviceAccountName: flannel
      initContainers:
      - name: install-cni-plugin
        image: docker.io/flannel/flannel-cni-plugin:v1.1.2
       #image: docker.io/rancher/mirrored-flannelcni-flannel-cni-plugin:v1.1.2
        command:
        - cp
        args:
        - -f
        - /flannel
        - /opt/cni/bin/flannel
        volumeMounts:
        - name: cni-plugin
          mountPath: /opt/cni/bin
      - name: install-cni
        image: docker.io/flannel/flannel:v0.20.2
       #image: docker.io/rancher/mirrored-flannelcni-flannel:v0.20.2
        command:
        - cp
        args:
        - -f
        - /etc/kube-flannel/cni-conf.json
        - /etc/cni/net.d/10-flannel.conflist
        volumeMounts:
        - name: cni
          mountPath: /etc/cni/net.d
        - name: flannel-cfg
          mountPath: /etc/kube-flannel/
      containers:
      - name: kube-flannel
        image: docker.io/flannel/flannel:v0.20.2
       #image: docker.io/rancher/mirrored-flannelcni-flannel:v0.20.2
        command:
        - /opt/bin/flanneld
        args:
        - --ip-masq
        - --kube-subnet-mgr
        resources:
          requests:
            cpu: "100m"
            memory: "50Mi"
        securityContext:
          privileged: false
          capabilities:
            add: ["NET_ADMIN", "NET_RAW"]
        env:
        - name: POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: POD_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        - name: EVENT_QUEUE_DEPTH
          value: "5000"
        volumeMounts:
        - name: run
          mountPath: /run/flannel
        - name: flannel-cfg
          mountPath: /etc/kube-flannel/
        - name: xtables-lock
          mountPath: /run/xtables.lock
      volumes:
      - name: run
        hostPath:
          path: /run/flannel
      - name: cni-plugin
        hostPath:
          path: /opt/cni/bin
      - name: cni
        hostPath:
          path: /etc/cni/net.d
      - name: flannel-cfg
        configMap:
          name: kube-flannel-cfg
      - name: xtables-lock
        hostPath:
          path: /run/xtables.lock
          type: FileOrCreate

将该文件放在master上，然后应用执行

kubectl apply -f kube-flannel.yml

运行结果

[root@localhost home]# ls
kube-flannel.yml
[root@localhost home]# kubectl apply -f kube-flannel.yml
namespace/kube-flannel created
clusterrole.rbac.authorization.k8s.io/flannel created
clusterrolebinding.rbac.authorization.k8s.io/flannel created
serviceaccount/flannel created
configmap/kube-flannel-cfg created
daemonset.apps/kube-flannel-ds created
[root@localhost home]# 

3.9 此时k8s集群初始化完毕 休息下

3.10 安装kuboard图形化管理工具

在master节点上执行

kubectl apply -f https://addons.kuboard.cn/kuboard/kuboard-v3.yaml

查询是否安装完毕

kubectl get pods -n kuboard
[root@localhost etc]# kubectl get pods -n kuboard
NAME                          READY   STATUS              RESTARTS   AGE
kuboard-etcd-lkxmn            0/1     ContainerCreating   0          30s
kuboard-v3-56b4b954c9-jl6qw   0/1     ContainerCreating   0          30s
[root@localhost etc]# kubectl get pods -n kuboard
NAME                          READY   STATUS              RESTARTS   AGE
kuboard-etcd-lkxmn            0/1     ContainerCreating   0          31s
kuboard-v3-56b4b954c9-jl6qw   0/1     ContainerCreating   0          31s

全部加载完毕之后，访问 http://192.168.85.141:30080

因为默认30080端口

账号：admin 密码：Kuboard123

4.配置Jenkins服务器

采用Docker compose安装,最开始安装docker的时候，docker compose会伴随安装

4.1 jenkins内部使用本地docker

进入/var/run,找到docker.sock

[root@npy run]# ls
auditd.pid  containerd   cryptsetup          dmeventd-client  docker.pid   initramfs  lvm          netreport       sepermit  sudo         tmpfiles.d  user
chrony      crond.pid    dbus                dmeventd-server  docker.sock  lock       lvmetad.pid  NetworkManager  setrans   syslogd.pid  tuned       utmp
console     cron.reboot  dhclient-ens33.pid  docker           faillock     log        mount        plymouth        sshd.pid  systemd      udev        xtables.lock
[root@npy run]# pwd
/var/run

修改docker.sock文件所属组

chown root:root docker.sock

修改权限

chmod o+rw docker.sock

4.2 配置Jenkins挂载目录

mkdir -p /home/jenkins/jenkins_mount
chmod 777 /home/jenkins/jenkins_mount

4.3 编写docker-compose.yml文件

浏览器访问端口配置为:10240

容器名称为：npy_jenkins

version: '3.1'
services:
  jenkins:
    image: jenkins/jenkins
    privileged: true
    user: root
    ports:
      - 10240:8080
      - 10241:50000
    container_name: npy_jenkins
    volumes:
      - /home/jenkins/jenkins_mount:/var/jenkins_home
      - /etc/localtime:/etc/localtime
      - /var/run/docker.sock:/var/run/docker.sock
      - /usr/bin/docker:/usr/bin/docker
      - /etc/docker/daemon.json:/etc/docker/daemon.json                                                    

4.4 先启动一下compose

docker compose up -d

4.5 配置下镜像加速

# 修改挂载目录的hudson.model.UpdateCenter.xml文件 添加清华源加速
[root@localhost jenkins_mount]# pwd
/home/jenkins/jenkins_mount
[root@localhost jenkins_mount]# ls
config.xml               docker-compose.yml        hudson.model.UpdateCenter.xml  jenkins.telemetry.Correlator.xml  nodeMonitors.xml  plugins     secret.key.not-so-secret  updates      users
copy_reference_file.log  failed-boot-attempts.txt  identity.key.enc               jobs                              nodes             secret.key  secrets                   userContent  war
[root@localhost jenkins_mount]# 

<?xml version='1.1' encoding='UTF-8'?>
<sites>
  <site>
    <id>default</id>
    <url>https://mirrors.tuna.tsinghua.edu.cn/jenkins/updates/update-center.json</url>
  </site>
</sites>

4.6 获取Jenkins登录密码

cat /home/jenkins/jenkins_mount/secrets/initialAdminPassword

[root@localhost jenkins_mount]# cat /home/jenkins/jenkins_mount/secrets/initialAdminPassword
296fcfb8b0a04a4b8716e33b53fa6743

4.7 登录Jenkins

选择安装推荐的插件就可以了

http://192.168.85.144:10240

4.8 升级Jenkins

首先下载jenkins的war包

下载地址:2.375.3版本

然后停止jenkins容器，记得是停止！

# docker stop 677c9d9ab474
[root@localhost jenkins_mount]# docker ps
CONTAINER ID   IMAGE             COMMAND                   CREATED          STATUS          PORTS                                                                                        NAMES
677c9d9ab474   jenkins/jenkins   "/sbin/tini -- /usr/…"   27 minutes ago   Up 27 minutes   0.0.0.0:10240->8080/tcp, :::10240->8080/tcp, 0.0.0.0:10241->50000/tcp, :::10241->50000/tcp   npy_jenkins
[root@localhost jenkins_mount]# docker stop 677c9d9ab474
f1c11a1c592b
[root@localhost jenkins_mou

然后把下载的jenkins.war包通过rz拉到服务器上，然后执行docker cp命令

[root@localhost jenkins]# ls
jenkins_mount
[root@localhost jenkins]# rz 
[root@localhost jenkins]# ls
jenkins_mount  jenkins.war
[root@localhost jenkins]# docker cp jenkins.war 677c9d9ab474:/usr/share/jenkins/jenkins.war
Preparing to copy...
Copying to container - 0B
Copying to container - 0B
Copying to container - 512B
Copying to container - 32.77kB
Copying to container - 65.54kB
Copying to container - 98.3kB
Copying to container - 131.1kB

再重新启动容器

docker start 677c9d9ab474

4.9 重新登录Jenkins获取升级版本

账号是：admin 密码是：123456

4.10 Jenkins下载以下插件

第一个是为了连接gitlab,第二个是为了ssh连接目标服务器

Git Parameter

Publish Over SSH

4.11 jenkins暂时完成

5. 配置Gitlab服务器

5.1 拉取镜像

docker pull gitlab/gitlab-ce

5.2 创建共享卷目录

[root@localhost gitlab]# mkdir etc
[root@localhost gitlab]# mkdir log
[root@localhost gitlab]# mkdir data
[root@localhost gitlab]# ls
data  etc  log
[root@localhost gitlab]# chmod 777 data/ etc/ log/

5.3 编写docker-compose.yml

version: '3.1'
services:
  gitlab:
    image: 'gitlab/gitlab-ce'
    restart: always
    container_name: npy_gitlab
    privileged: true
    environment:
      GITLAB_OMNIBUS_CONFIG: |
        external_url 'http://192.168.85.145'
    ports:
      - '80:80'
      - '443:443'
      - '33:22'
    volumes:
      - '/home/gitlab/etc:/etc/gitlab'
      - '/home/gitlab/log:/var/log/gitlab'
      - '/home/gitlab/data:/var/opt/gitlab'

5.4 启动docker compose

docker compose up -d

5.5 docker命令启动

docker run -itd --name=npy_gitlab --restart=always --privileged=true   -p 8443:443  -p 80:80 -p 222:22 -v /home/gitlab/etc:/etc/gitlab -v  /home/gitlab/log:/var/log/gitlab -v  /home/gitlab/data:/var/opt/gitlab  gitlab/gitlab-ce

5.6 访问界面

http://192.168.85.145:80

用户名为：root

获取密码：进入容器查看

sudo docker exec -it gitlab grep 'Password:' /etc/gitlab/initial_root_password

5.7 切换中文

6. 配置Harbor镜像仓库

6.1 安装docker、docker-compose

yum install docker-ce-20.10.9 -y
yum install epel-release -y
yum install docker-compose –y

6.2 下载Harbor安装包

下载地址
下载会有点慢，建议用迅雷下载
下载的harbor-offline-installer-v1.10.10.tgz 包通过ftp工具拉取到服务器上

6.3 解压安装包

[root@localhost harbor]# tar -zxvf harbor-offline-installer-v1.10.10.tgz 
harbor/harbor.v1.10.10.tar.gz
harbor/prepare
harbor/LICENSE
harbor/install.sh
harbor/common.sh
harbor/harbor.yml
[root@localhost harbor]# 

6.4 进入解压出来的harbor文件夹中

[root@localhost harbor]# ls
harbor  harbor-offline-installer-v1.10.10.tgz
[root@localhost harbor]# cd harbor
[root@localhost harbor]# ls
common.sh  harbor.v1.10.10.tar.gz  harbor.yml  install.sh  LICENSE  prepare
[root@localhost harbor]# 

6.5 Docker加载镜像

docker load -i harbor.v1.10.10.tar.gz

6.6 修改配置文件harbor.yml

[root@localhost harbor]# cd harbor
[root@localhost harbor]# ls
common.sh  harbor.v1.10.10.tar.gz  harbor.yml  install.sh  LICENSE  prepare
[root@localhost harbor]# vim harbor.yml 

设置hostname为主机ip：192.168.85.146

密码为Harbor12345

将上面的https:内容都进行注释，否则会出错：ERROR:root:Error: The protocol is https but attribute ssl_cert is not set

6.7 执行**./prepare && ./install.sh**命令

./prepare
./install.sh

如果docker-compose版本不够，就去下载最新版本

curl -L https://get.daocloud.io/docker/compose/releases/download/v2.4.1/docker-compose-`uname -s`-`uname -m` > /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose
sudo ln -s /usr/local/bin/docker-compose /usr/bin/docker-compose

6.8 查看相关镜像

[root@localhost harbor]# docker ps
CONTAINER ID   IMAGE                                  COMMAND                   CREATED          STATUS                    PORTS                                   NAMES
1c2c49bcae29   goharbor/nginx-photon:v1.10.10         "nginx -g 'daemon of…"   47 seconds ago   Up 45 seconds (healthy)   0.0.0.0:80->8080/tcp, :::80->8080/tcp   nginx
bce07bf48d57   goharbor/harbor-jobservice:v1.10.10    "/harbor/harbor_jobs…"   47 seconds ago   Up 45 seconds (healthy)                                           harbor-jobservice
43a696210739   goharbor/harbor-core:v1.10.10          "/harbor/harbor_core"     48 seconds ago   Up 46 seconds (healthy)                                           harbor-core
2c460dcf924f   goharbor/registry-photon:v1.10.10      "/home/harbor/entryp…"   50 seconds ago   Up 47 seconds (healthy)   5000/tcp                                registry
8904cb8b36e2   goharbor/redis-photon:v1.10.10         "redis-server /etc/r…"   50 seconds ago   Up 48 seconds (healthy)   6379/tcp                                redis
9b030e10048b   goharbor/harbor-registryctl:v1.10.10   "/home/harbor/start.…"   50 seconds ago   Up 48 seconds (healthy)                                           registryctl
7613eb27e887   goharbor/harbor-db:v1.10.10            "/docker-entrypoint.…"   50 seconds ago   Up 48 seconds (healthy)   5432/tcp                                harbor-db
ab698202e684   goharbor/harbor-portal:v1.10.10        "nginx -g 'daemon of…"   50 seconds ago   Up 47 seconds (healthy)   8080/tcp                                harbor-portal
62496f80be73   goharbor/harbor-log:v1.10.10           "/bin/sh -c /usr/loc…"   52 seconds ago   Up 49 seconds (healthy)   127.0.0.1:1514->10514/tcp               harbor-log
[root@localhost harbor]# 

6.9 访问测试

浏览器输入ip即可

7.gitlab服务器连接Harbor

7.1 修改gitlab服务器的daemon.json

目的：将CI服务器上的项目push到镜像harbor私仓

insecure-registries为harbor服务器的ip

vim /etc/docker/daemon.json

{
      "registry-mirrors" : ["https://q5bf287q.mirror.aliyuncs.com", "https://registry.docker-cn.com","http://hub-mirror.c.163.com"],
      "exec-opts": ["native.cgroupdriver=systemd"],
      "insecure-registries": ["192.168.85.146"]
}

7.2 加载配置文件使其生效

systemctl daemon-reload

7.3 重启docker

systemctl restart docker

7.4 连接测试

测试登录harbor服务器

账号密码就是部署harbor时的账号密码：admin Harbor12345

[root@localhost docker]# docker login 192.168.85.146
Username: admin
Password: Harbor12345
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
[root@localhost docker]# 

7.5 连接成功

8.jenkins与gilab持续集成

8.1 在jenkins中创建密钥对

需要进入jenkins容器

docker exec -it b5a49147b7f5 bash 

# 创建密钥对，一路默认回车
ssh-keygen

8.2 查看并复制公钥 私钥

cat ~/.ssh/id_rsa.pub 

ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDBHrS0octCBPQYrNt3UAGdhxunMdBkmLBa3DATy0ND1QoRMbBaiZ6XYEMUaYEmiitMbXfzCHN8tEyUpqqxNDhjQ0kq0FlXRpUV65BWzvpWNM7cOG1yH1OE1JqGQ7HRyArKOK6JcCoFRn+F0LWO01GcTGbiF8z//ZeQo11GpDDXC2cQovDxIJTNS5y9BLRMZzU3XZNJRJvKVcmIINaX+Xiz49NfPauswa2aZV+cOkJetnqpMk6LkbDv+4FZ15lqQzSVpSTslbiZAp1t6TSLhoim8KubmFa9C7vP1lIqZtEJqPawJ7o9hZ8guo1O07SQPu6We7gNX0IccRLG0DNO/JPh root@localhost.localdomain

cat ~/.ssh/id_rsa

-----BEGIN OPENSSH PRIVATE KEY-----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-----END OPENSSH PRIVATE KEY-----

8.3 将公钥添加到gitlab中

登录gilab,点击用户设置界面，执行一下步骤，增加一个ssh密钥.

8.4 为Jenkins 添加全局凭据（私钥）

登录jenkins,打开系统管理-Manage Credentials进入凭据管理页面

8.5 拉取代码测试

• 先去在gitlab中创建一个项目 并上传项目 注意分支一定要是master分支

复制项目地址

设置完之后进行构建 输出成功

查看工作空间，发现有代码了

8.6 对 jenkins 的安全做一些设置

依次点击 系统管理-全局安全配置-授权策略，勾选"匿名用户具有可读权限

8.7 完成拉取功能

9.Jenkins安装Maven以及Jdk

9.1 首先拉取两个安装包到服务器上

[root@localhost jenkins]# rz

[root@localhost jenkins]# ls
apache-maven-3.9.0-bin.tar.gz  docker-compose.yml  jdk-8u11-linux-x64.tar.gz  jenkins_mount  jenkins.war

9.2 解压Maven与Jdk并改名

[root@localhost jenkins]# ls
apache-maven-3.9.0  apache-maven-3.9.0-bin.tar.gz  docker-compose.yml  jdk1.8.0_11  jdk-8u11-linux-x64.tar.gz  jenkins_mount  jenkins.war
[root@localhost jenkins]# mv apache-maven-3.9.0 maven
[root@localhost jenkins]# ls
apache-maven-3.9.0-bin.tar.gz  docker-compose.yml  jdk1.8.0_11  jdk-8u11-linux-x64.tar.gz  jenkins_mount  jenkins.war  maven
[root@localhost jenkins]# mv jdk1.8.0_11/ jdk
[root@localhost jenkins]# ls
apache-maven-3.9.0-bin.tar.gz  docker-compose.yml  jdk  jdk-8u11-linux-x64.tar.gz  jenkins_mount  jenkins.war  maven
[root@localhost jenkins]# 

9.3 maven并进入解压文件修改setting.xml

位置：home/jenkins/maven/conf/setting.xml

• 添加阿里云镜像地址

 </mirrors>
 	<mirror>
        <id>alimaven</id>
        <name>aliyun maven</name>
        <url>https://maven.aliyun.com/repository/public/</url>
        <mirrorOf>central</mirrorOf>
    </mirror>
 </mirrors>

• 添加jdk8编译

</profiles>
  <profile>
    <id>jdk8</id>
    <activation>
        <activeByDefault>true</activeByDefault>
        <jdk>1.8</jdk>
    </activation>
    <properties>
        <maven.compiler.source>1.8</maven.compiler.source>
        <maven.compiler.target>1.8</maven.compiler.target>
        <maven.compiler.compilerVersion>1.8</maven.compiler.compilerVersion>
    </properties>
 </profile>
</profiles>

• 激活profile

<activeProfiles>
    <activeProfile>jdk8</activeProfile>
 </activeProfiles>

9.4 将jdk还有maven拉取到jenkins的挂载目录

[root@localhost jenkins]# ls
apache-maven-3.9.0-bin.tar.gz  docker-compose.yml  jdk  jdk-8u11-linux-x64.tar.gz  jenkins_mount  jenkins.war  maven
[root@localhost jenkins]# mv jdk /home/jenkins/jenkins_mount/
[root@localhost jenkins]# mv maven/ /home/jenkins/jenkins_mount/
[root@localhost jenkins]# ls
apache-maven-3.9.0-bin.tar.gz  docker-compose.yml  jdk-8u11-linux-x64.tar.gz  jenkins_mount  jenkins.war
[root@localhost jenkins]# 

9.5 进入jenkins容器

docker exec -it b5a49147b7f5 bash

找到jdk与maven的目录

/var/jenkins_home/jdk

/var/jenkins_home/maven

root@b5a49147b7f5:/var/jenkins_home# cd jdk/
root@b5a49147b7f5:/var/jenkins_home/jdk# ls
COPYRIGHT  LICENSE  README.html  THIRDPARTYLICENSEREADME-JAVAFX.txt  THIRDPARTYLICENSEREADME.txt  bin  db  include  javafx-src.zip  jre  lib  man  release  src.zip
root@b5a49147b7f5:/var/jenkins_home/jdk# pwd
/var/jenkins_home/jdk


root@b5a49147b7f5:/var/jenkins_home# cd maven/
root@b5a49147b7f5:/var/jenkins_home/maven# ls
LICENSE  NOTICE  README.txt  bin  boot	conf  lib
root@b5a49147b7f5:/var/jenkins_home/maven# pwd
/var/jenkins_home/maven
root@b5a49147b7f5:/var/jenkins_home/maven# 

9.6 在jenkins的全局配置中配置jdk与maven

* 9.7 jenkins服务器创建一个jar包存放目录(好像没什么用…)

[root@localhost jenkins]# mkdir MavenJar
[root@localhost jenkins]# chmod 777 -R MavenJar/
[root@localhost jenkins]# ll
总用量 256152
-rw-r--r--.  1 root root   9024147 2月  14 16:44 apache-maven-3.9.0-bin.tar.gz
-rw-r--r--.  1 root root       433 2月  16 23:57 docker-compose.yml
-rw-r--r--.  1 root root 159019376 9月  27 2021 jdk-8u11-linux-x64.tar.gz
drwxrwxrwx. 20 root root      4096 2月  17 03:56 jenkins_mount
-rw-r--r--.  1 root root  94238599 2月  12 15:32 jenkins.war
drwxrwxrwx.  2 root root         6 2月  17 03:56 MavenJar
[root@localhost jenkins]# 

* 9.8 进入系统配置修改Publish over SSH

9.9 测试maven打包

在Job的构建里面Build Steps->调用顶层Maven目标

clean package -DiskpTest

应用保存之后重新构建，就会执行打包操作，第一次打包下载会有点慢，不要急哦。

10.创建流水线 连接K8s 实现CI/CD

10.0 jenkins配置k8s SSH Servers

在系统配置里面

记得在k8s master上创建 /usr/local/k8s目录 并且 chmod 777 k8s

10.1 创建项目，选择流水线，下面构建pipline脚本

10.2 写一个流水线脚本大致流程 （参考）

// 所有脚本命令都放在pipline中
pipeline{
	// 指定任务在哪个集群节点中执行
	agent any
	// 声明全局变量，方便使用
	environment {
		key = 'value'
	}
    stages {
        stage('拉取git仓库代码') {
            steps {
                echo '拉取git仓库代码 - SUCCESS'
            }
        }
        stage('通过maven构建项目') {
            steps {
                echo '通过maven构建项目 - SUCCESS'
            }
        }
        stage('通过Docker制作自定义镜像') {
            steps {
                echo '通过Docker制作自定义镜像 - SUCCESS'
            }
        }
        stage('将自定义镜像推送到harbor') {
            steps {
                echo '将自定义镜像推送到harbor - SUCCESS'
            }
        }
        stage('将yml文件传到k8s-master上') {
            steps {
                echo '将yml文件传到k8s-master上 - SUCCESS'
            }
        }
        stage('远程执行k8s-master的kubectl命令') {
            steps {
                echo '远程执行k8s-master的kubectl命令 - SUCCESS'
            }
        }
    }
}

10.3 流水线语法 – 拉取git仓库代码

checkout([$class: 'GitSCM', branches: [[name: '*/master']], extensions: [], userRemoteConfigs: [[url: 'http://192.168.85.145/root/lover.git']]])

10.4 流水线语法 --通过maven构建项目

sh '/var/jenkins_home/maven/bin/mvn clean package -DskipTests'

10.5 流水线语法 --通过Docker制作自定义镜像

sh '''mv ./target/*.jar ./docker/lover_story.jar
docker build -t ${JOB_NAME}:${tag} ./docker/'''

10.5 流水线语法 – 将自定义镜像推送到harbor

这个需要修改私服在jenkins服务器的/etc/docker/daemon.json

{
      "registry-mirrors" : ["https://q5bf287q.mirror.aliyuncs.com", "https://registry.docker-cn.com","http://hub-mirror.c.163.com"],
      "exec-opts": ["native.cgroupdriver=systemd"],
      "insecure-registries": ["192.168.85.146"]
}

# 重新加载
systemctl daemon-reload
systemctl restart docker
docker swarm init

先docker登录harbor

然后给镜像打标签

之后进行推送到指定的仓库中

sh '''docker login -u ${harborUser} -p ${harborPassword} ${harborAddress}
docker tag ${JOB_NAME}:${tag} ${harborAddress}/${harborRepo}/${JOB_NAME}:${tag}
docker push ${harborAddress}/${harborRepo}/${JOB_NAME}:${tag}'''

10.6 流水线语法 – 将yml文件发送到master节点

• 让jenkins无密码连接到k8s

进入jenkins容器复制其公钥

root@b5a49147b7f5:~/.ssh# cat id_rsa.pub 
ssh-rsa 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 root@b5a49147b7f5
root@b5a49147b7f5:~/.ssh# 

• master节点配置jenkins公钥

将id_rsa.pub 内容添加进去即可

[root@k8s-master ~]# cd ~
[root@k8s-master ~]# ls
anaconda-ks.cfg
[root@k8s-master ~]# mkdir .ssh
[root@k8s-master ~]# cd .ssh/
[root@k8s-master .ssh]# ls
[root@k8s-master .ssh]# vim authorized_keys 
[root@k8s-master .ssh]# 

apiVersion: apps/v1
kind: Deployment
metadata:
  namespace: lover_story
  name: lover
  labels: 
    app: lover
spec:
  replicas: 3
  selector:
    matchLabels:
      app: lover
  template:
    metadata:
      labels:
        app: lover
    spec:
      containers:
      - name: lover
        image: 192.168.85.146/lover/lover:v4.0.0
        imagePullPolicy: Always
        ports:
        - containerPort: 8082
---
apiVersion: v1
kind: Service
metadata:
  namespace: test
  labels: 
    app: lover
  name: lover
spec: 
  selector:
    app: lover
  ports:
  - port: 8088
    targetPort: 8082
  type: NodePort
---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  namespace: test
  name: lover
spec:
  ingressClassName: ingress
  rules:
  - host:lph.pipline.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: lover
            port:
              number: 8088

sshPublisher(publishers: [sshPublisherDesc(configName: 'k8s', transfers: [sshTransfer(cleanRemote: false, excludes: '', execCommand: '', execTimeout: 120000, flatten: false, makeEmptyDirs: false, noDefaultExcludes: false, patternSeparator: '[, ]+', remoteDirectory: '', remoteDirectorySDF: false, removePrefix: '', sourceFiles: 'lover.yml')], usePromotionTimestamp: false, useWorkspaceInPromotion: false, verbose: false)])

10.7 流水线语法 – 远程执行k8s-master的kubectl命令

sh 'ssh root@192.168.85.141 kubectl apply -f lover.yml'

记得Master也要配置/etc/docker/dameon.json文件的私仓地址

10.8 最终流水线脚本

// 所有脚本命令都放在pipline中
pipeline{
	// 指定任务在哪个集群节点中执行
	agent any
	// 声明全局变量，方便使用
	environment {
	    harborUser = 'admin'
        harborPassword = 'Harbor12345'
        harborAddress = '192.168.85.146'
        harborRepo = 'lover'
	}
    stages {
        stage('拉取git仓库代码') {
            steps {
                checkout([$class: 'GitSCM', branches: [[name: '*/master']], extensions: [], userRemoteConfigs: [[url: 'http://192.168.85.145/root/lover.git']]])
            }
        }
        stage('通过maven构建项目') {
            steps {
                sh '/var/jenkins_home/maven/bin/mvn clean package -DskipTests'
            }
        }
        stage('通过Docker制作自定义镜像') {
            steps {
                sh '''mv ./target/*.jar ./docker/
docker build -t ${JOB_NAME}:${tag} ./docker/'''
            }
        }
        stage('将自定义镜像推送到harbor') {
            steps {
                sh '''docker login -u ${harborUser} -p ${harborPassword} ${harborAddress}
docker tag ${JOB_NAME}:${tag} ${harborAddress}/${harborRepo}/${JOB_NAME}:${tag}
docker push ${harborAddress}/${harborRepo}/${JOB_NAME}:${tag}'''
            }
        }
        stage('将yml文件传到k8s-master上') {
            steps {
                sshPublisher(publishers: [sshPublisherDesc(configName: 'k8s', transfers: [sshTransfer(cleanRemote: false, excludes: '', execCommand: '', execTimeout: 120000, flatten: false, makeEmptyDirs: false, noDefaultExcludes: false, patternSeparator: '[, ]+', remoteDirectory: '', remoteDirectorySDF: false, removePrefix: '', sourceFiles: 'lover.yml')], usePromotionTimestamp: false, useWorkspaceInPromotion: false, verbose: false)])
            }
        }
        stage('远程执行k8s-master的kubectl命令') {
            steps {
                sh 'ssh root@192.168.85.141 kubectl apply -f /usr/local/k8s/lover.yml'
            }
        }
    }
}

10.9 运行流水线即可完成k8s部署

ip link set cni0 down && ip link set flannel.1 down 
ip link delete cni0 && ip link delete flannel.1
systemctl restart containerd && systemctl restart kubelet

错误

1.docker service ls出错

没有正确加载/etc/docker/dameon.json,会无法从harbor拉取镜像

因此在k8s集群上每个节点执行以下操作,前提是配置好了harbor的地址

docker swarm init

2.无法从harbor拉取镜像

看看是否镜像仓库是公开的！！私有的镜像仓库是需要配置密钥的！文章来源地址https://uudwc.com/A/woqLZ