手把手教你一套完善且高效的 k8s 离线部署方案
作者：京东科技开发者
- 2022-12-20 北京
本文字数：22759 字
阅读完需：约 75 分钟
作者：郝建伟
背景
面对更多项目现场交付，偶而会遇到客户环境不具备公网条件，完全内网部署，这就需要有一套完善且高效的离线部署方案。
系统资源
参数配置
注：在全部节点执行以下操作
系统基础设置
工作、日志及数据存储目录设定
$ mkdir -p /export/servers$ mkdir -p /export/logs$ mkdir -p /export/data$ mkdir -p /export/upload
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内核及网络参数优化
$ vim /etc/sysctl.conf
# 设置以下内容fs.file-max = 1048576net.ipv4.tcp_syncookies = 1net.ipv4.tcp_tw_reuse = 1net.ipv4.tcp_fin_timeout = 5net.ipv4.neigh.default.gc_stale_time = 120net.ipv4.conf.default.rp_filter = 0net.ipv4.conf.all.rp_filter = 0net.ipv4.conf.all.arp_announce = 2net.ipv4.conf.lo.arp_announce = 2 vm.max_map_count = 262144
# 及时生效sysctl -w vm.max_map_count=262144
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ulimit 优化
$ vim /etc/security/limits.conf
# 设置以下内容* soft memlock unlimited* hard memlock unlimited* soft nproc 102400* hard nproc 102400* soft nofile 1048576* hard nofile 1048576
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基础环境准备
ansible 安装
1. 环境说明
2. 部署说明
物联管理平台机器数量繁多，需要 ansible 进行批量操作机器，节省时间，需要从部署节点至其他节点 root 免密。
注：在不知道root密码情况下，可以手动操作名密，按以下操作步骤执行：# 需要在部署机器上执行以下命令生成公钥$ ssh-keygen -t rsa# 复制~/.ssh/id_rsa.pub内容，并粘贴至其他节点~/.ssh/authorized_keys文件里面# 如果没有authorized_keys文件，可先执行创建创建在进行粘贴操作$ touch ~/.ssh/authorized_keys
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3. 部署步骤
1） 在线安装
$ yum -y install https://releases.ansible.com/ansible/rpm/release/epel-7-x86_64/ansible-2.9.27-1.el7.ans.noarch.rpm
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2） 离线安装
# 提前上传ansible及所有依赖rpm包，并切换至rpm包目录$ yum -y ./*rpm
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3） 查看版本
$ ansible --versionansible 2.9.27 config file = /etc/ansible/ansible.cfg configured module search path = [u'/root/.ansible/plugins/modules', u'/usr/share/ansible/plugins/modules'] ansible python module location = /usr/lib/python2.7/site-packages/ansible executable location = /usr/bin/ansible python version = 2.7.5 (default, Apr 2 2020, 13:16:51) [GCC 4.8.5 20150623 (Red Hat 4.8.5-39)]
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4） 设置管理主机列表
$ vim /etc/ansible/hosts
[master]10.132.10.91 node_name=k8s-master110.132.10.92 node_name=k8s-master210.132.10.93 node_name=k8s-master3
[worker]10.132.10.94 node_name=k8s-worker110.132.10.95 node_name=k8s-worker210.132.10.96 node_name=k8s-worker310.132.10.97 node_name=k8s-worker410.132.10.98 node_name=k8s-worker510.132.10.99 node_name=k8s-worker6
[etcd]10.132.10.91 etcd_name=etcd110.132.10.92 etcd_name=etcd210.132.10.93 etcd_name=etcd3
[k8s:children]masterworker
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5） 禁用 ssh 主机检查
$ vi /etc/ansible/ansible.cfg# 修改以下设置# uncomment this to disable SSH key host checkinghost_key_checking = False
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6） 取消 SELINUX 设定及放开防火墙
$ ansible k8s -m command -a "setenforce 0"$ ansible k8s -m command -a "sed --follow-symlinks -i 's/SELINUX=enforcing/SELINUX=disabled/g' /etc/selinux/config"$ ansible k8s -m command -a "firewall-cmd --set-default-zone=trusted"$ ansible k8s -m command -a "firewall-cmd --complete-reload"$ ansible k8s -m command -a "swapoff -a"
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7）hosts 设置
$ cd /export/upload && vim hosts_set.sh#设置以下脚本内容#!/bin/bashcat > /etc/hosts << EOF127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4::1 localhost localhost.localdomain localhost6 localhost6.localdomain610.132.10.100 deploy harbor10.132.10.91 master0110.132.10.92 master0210.132.10.93 master0310.132.10.94 worker0110.132.10.95 worker0210.132.10.96 worker0310.132.10.97 worker0410.132.10.98 worker0510.132.10.99 worker06EOF
$ ansible new_worker -m copy -a 'src=/export/upload/hosts_set.sh dest=/export/upload'$ ansible new_worker -m command -a 'sh /export/upload/hosts_set.sh'
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docker 安装
1. 环境说明
2. 部署说明
此处的 docker 主要用于 harbor 针对镜像的操作，包括镜像的打 tag 以及 push，用于后期部署 pod 的时候直接通过 harbor 私有镜像库拉取。
3. 部署方法
1） 在线安装
$ yum -y install docker-ce-20.10.17
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2） 离线安装
# 提前上传docker及所有依赖rpm包，并切换至rpm包目录$ yum -y ./*rpm
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3） 重新加载配置文件，启动并查看状态
$ systemctl start docker$ systemctl status docker
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4） 设置开机自启
$ systemctl enable docker
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5） 查看版本
$ docker versionClient: Docker Engine - Community Version: 20.10.17 API version: 1.41 Go version: go1.17.11 Git commit: 100c701 Built: Mon Jun 6 23:05:12 2022 OS/Arch: linux/amd64 Context: default Experimental: true Server: Docker Engine - Community Engine: Version: 20.10.17 API version: 1.41 (minimum version 1.12) Go version: go1.17.11 Git commit: a89b842 Built: Mon Jun 6 23:03:33 2022 OS/Arch: linux/amd64 Experimental: false containerd: Version: 1.6.8 GitCommit: 9cd3357b7fd7218e4aec3eae239db1f68a5a6ec6 runc: Version: 1.1.4 GitCommit: v1.1.4-0-g5fd4c4d docker-init: Version: 0.19.0 GitCommit: de40ad0
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docker-compose 安装
1. 环境说明
2. 部署说明
harbor 私有镜像库依赖。
3. 部署方法
1） 下载 docker-compose 并上传至服务器
$ curl -L https://github.com/docker/compose/releases/download/v2.9.0/docker-compose-linux-x86_64 -o docker-compose
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2） 修改 docker-compose 执行权限
$ mv docker-compose /usr/local/bin/$ chmod +x /usr/local/bin/docker-compose$ docker-compose version
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3） 查看版本
$ docker-compose versionDocker Compose version v2.9.0
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harbor 安装
1. 环境说明
2. 部署说明
私有镜像仓库。
3. 下载 harbor 离线安装包并上传至服务器
$ wget https://github.com/goharbor/harbor/releases/download/v2.4.3/harbor-offline-installer-v2.4.3.tgz
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4. 解压安装包
$ tar -xzvf harbor-offline-installer-v2.4.3.tgz -C /export/servers/$ cd /export/servers/harbor
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5. 修改配置文件
$ mv harbor.yml.tmpl harbor.yml$ vim harbor.yml
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6. 设置以下内容
hostname: 10.132.10.100http.port: 8090data_volume: /export/data/harborlog.location: /export/logs/harbor
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7. 导入 harbor 镜像
$ docker load -i harbor.v2.4.3.tar.gz # 等待导入harbor依赖镜像文件$ docker imagesREPOSITORY TAG IMAGE ID CREATED SIZEgoharbor/harbor-exporter v2.4.3 776ac6ee91f4 4 weeks ago 81.5MBgoharbor/chartmuseum-photon v2.4.3 f39a9694988d 4 weeks ago 172MBgoharbor/redis-photon v2.4.3 b168e9750dc8 4 weeks ago 154MBgoharbor/trivy-adapter-photon v2.4.3 a406a715461c 4 weeks ago 251MBgoharbor/notary-server-photon v2.4.3 da89404c7cf9 4 weeks ago 109MBgoharbor/notary-signer-photon v2.4.3 38468ac13836 4 weeks ago 107MBgoharbor/harbor-registryctl v2.4.3 61243a84642b 4 weeks ago 135MBgoharbor/registry-photon v2.4.3 9855479dd6fa 4 weeks ago 77.9MBgoharbor/nginx-photon v2.4.3 0165c71ef734 4 weeks ago 44.4MBgoharbor/harbor-log v2.4.3 57ceb170dac4 4 weeks ago 161MBgoharbor/harbor-jobservice v2.4.3 7fea87c4b884 4 weeks ago 219MBgoharbor/harbor-core v2.4.3 d864774a3b8f 4 weeks ago 197MBgoharbor/harbor-portal v2.4.3 85f00db66862 4 weeks ago 53.4MBgoharbor/harbor-db v2.4.3 7693d44a2ad6 4 weeks ago 225MBgoharbor/prepare v2.4.3 c882d74725ee 4 weeks ago 268MB
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8. 启动 harbor
./prepare # 如果有二次修改harbor.yml文件，请执行使配置文件生效./install.sh --help # 查看启动参数./install.sh --with-chartmuseum
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运行环境搭建
docker 安装
1. 环境说明
2. 部署说明
k8s 容器运行环境 docker 部署
3. 部署方法
1） 上传 docker 及依赖 rpm 包
$ ls /export/upload/docker-rpm.tgz
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2） 分发安装包
$ ansible k8s -m copy -a "src=/export/upload/docker-rpm.tgz dest=/export/upload/"# 全部节点返回以下信息CHANGED => { "ansible_facts": { "discovered_interpreter_python": "/usr/bin/python" }, "changed": true, "checksum": "acd3897edb624cd18a197bcd026e6769797f4f05", "dest": "/export/upload/docker-rpm.tgz", "gid": 0, "group": "root", "md5sum": "3ba6d9fe6b2ac70860b6638b88d3c89d", "mode": "0644", "owner": "root", "secontext": "system_u:object_r:usr_t:s0", "size": 103234394, "src": "/root/.ansible/tmp/ansible-tmp-1661836788.82-13591-17885284311930/source", "state": "file", "uid": 0}
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3） 执行解压并安装
$ ansible k8s -m shell -a "tar xzvf /export/upload/docker-rpm.tgz -C /export/upload/ && yum -y install /export/upload/docker-rpm/*"
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4） 设置开机自启并启动
$ ansible k8s -m shell -a "systemctl enable docker && systemctl start docker"
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5） 查看版本
$ ansible k8s -m shell -a "docker version"# 全部节点返回以下信息CHANGED | rc=0 >>Client: Docker Engine - Community Version: 20.10.17 API version: 1.41 Go version: go1.17.11 Git commit: 100c701 Built: Mon Jun 6 23:05:12 2022 OS/Arch: linux/amd64 Context: default Experimental: true
Server: Docker Engine - Community Engine: Version: 20.10.17 API version: 1.41 (minimum version 1.12) Go version: go1.17.11 Git commit: a89b842 Built: Mon Jun 6 23:03:33 2022 OS/Arch: linux/amd64 Experimental: false containerd: Version: 1.6.8 GitCommit: 9cd3357b7fd7218e4aec3eae239db1f68a5a6ec6 runc: Version: 1.1.4 GitCommit: v1.1.4-0-g5fd4c4d docker-init: Version: 0.19.0 GitCommit: de40ad0
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kubernetes 安装
有网环境安装
# 添加阿里云YUM的软件源：cat > /etc/yum.repos.d/kubernetes.repo << EOF[kubernetes]name=Kubernetesbaseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64enabled=1gpgcheck=0repo_gpgcheck=0gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpgEOF
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下载离线安装包
# 创建rpm软件存储目录：mkdir -p /export/download/kubeadm-rpm
# 执行命令：yum install -y kubelet-1.22.4 kubeadm-1.22.4 kubectl-1.22.4 --downloadonly --downloaddir /export/download/kubeadm-rpm
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无网环境安装
1） 上传 kubeadm 及依赖 rpm 包
$ ls /export/upload/kubeadm-rpm.tgz
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2） 分发安装包
$ ansible k8s -m copy -a "src=/export/upload/kubeadm-rpm.tgz dest=/export/upload/"# 全部节点返回以下信息CHANGED => { "ansible_facts": { "discovered_interpreter_python": "/usr/bin/python" }, "changed": true, "checksum": "3fe96fe1aa7f4a09d86722f79f36fb8fde69facb", "dest": "/export/upload/kubeadm-rpm.tgz", "gid": 0, "group": "root", "md5sum": "80d5bda420db6ea23ad75dcf0f76e858", "mode": "0644", "owner": "root", "secontext": "system_u:object_r:usr_t:s0", "size": 67423355, "src": "/root/.ansible/tmp/ansible-tmp-1661840257.4-33361-139823848282879/source", "state": "file", "uid": 0}
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3） 执行解压并安装
$ ansible k8s -m shell -a "tar xzvf /export/upload/kubeadm-rpm.tgz -C /export/upload/ && yum -y install /export/upload/kubeadm-rpm/*"
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4） 设置开机自启并启动
$ ansible k8s -m shell -a "systemctl enable kubelet && systemctl start kubelet"注：此时kubelet启动失败，会进入不断重启，这个是正常现象，执行init或join后问题会自动解决，对此官网有如下描述，也就是此时不用理会kubelet.service，可执行发下命令查看kubelet状态。$ journalctl -xefu kubelet
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4） 分发依赖镜像至集群节点
# 可以在有公网环境提前下载镜像$ docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/coredns:v1.8.4$ docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:3.5.0-0$ docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-apiserver:v1.22.4$ docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-controller-manager:v1.22.4$ docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.22.4$ docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-scheduler:v1.22.4$ docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.5$ docker pull rancher/mirrored-flannelcni-flannel-cni-plugin:v1.1.0$ docker pull rancher/mirrored-flannelcni-flannel:v0.19.1# 导出镜像文件，上传部署节点并导入镜像库$ ls /export/upload
$ docker load -i google_containers-coredns-v1.8.4.tar$ docker load -i google_containers-etcd:3.5.0-0.tar$ docker load -i google_containers-kube-apiserver:v1.22.4.tar$ docker load -i google_containers-kube-controller-manager-v1.22.4.tar$ docker load -i google_containers-kube-proxy-v1.22.4.tar$ docker load -i google_containers-kube-scheduler-v1.22.4.tar$ docker load -i google_containers-pause-3.5.tar$ docker load -i rancher-mirrored-flannelcni-flannel-cni-plugin-v1.1.0.tar$ docker load -i rancher-mirrored-flannelcni-flannel-v0.19.1.tar
# 镜像打harbor镜像库tag$ docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/coredns:v1.8.4 10.132.10.100:8090/community/coredns:v1.8.4$ docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:3.5.0-0 10.132.10.100:8090/community/etcd:3.5.0-0$ docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-apiserver:v1.22.4 10.132.10.100:8090/community/kube-apiserver:v1.22.4$ docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-controller-manager:v1.22.4 10.132.10.100:8090/community/kube-controller-manager:v1.22.4$ docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.22.4 10.132.10.100:8090/community/kube-proxy:v1.22.4$ docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-scheduler:v1.22.4 10.132.10.100:8090/community/kube-scheduler:v1.22.4$ docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.5 10.132.10.100:8090/community/pause:3.5$ docker tag rancher/mirrored-flannelcni-flannel-cni-plugin:v1.1.0 10.132.10.100:8090/community/mirrored-flannelcni-flannel-cni-plugin:v1.1.0$ docker tag rancher/mirrored-flannelcni-flannel:v0.19.1 10.132.10.100:8090/community/mirrored-flannelcni-flannel:v0.19.1
# 推送至harbor镜像库$ docker push 192.168.186.120:8090/community/coredns:v1.8.4$ docker push 192.168.186.120:8090/community/etcd:3.5.0-0$ docker push 192.168.186.120:8090/community/kube-apiserver:v1.22.4$ docker push 192.168.186.120:8090/community/kube-controller-manager:v1.22.4$ docker push 192.168.186.120:8090/community/kube-proxy:v1.22.4$ docker push 192.168.186.120:8090/community/kube-scheduler:v1.22.4$ docker push 192.168.186.120:8090/community/pause:3.5$ docker push 192.168.186.120:8090/community/mirrored-flannelcni-flannel-cni-plugin:v1.1.0$ docker push 192.168.186.120:8090/community/mirrored-flannelcni-flannel:v0.19.1
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5）部署首个 master
$ kubeadm init \--control-plane-endpoint "10.132.10.91:6443" \--image-repository 10.132.10.100/community \--kubernetes-version v1.22.4 \--service-cidr=172.16.0.0/16 \--pod-network-cidr=10.244.0.0/16 \--token "abcdef.0123456789abcdef" \--token-ttl "0" \--upload-certs
# 显示以下信息[init] Using Kubernetes version: v1.22.4[preflight] Running pre-flight checks [WARNING Firewalld]: firewalld is active, please ensure ports [6443 10250] are open or your cluster may not function correctly[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 master01] and IPs [172.16.0.1 10.132.10.91][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 master01] and IPs [10.132.10.91 127.0.0.1 ::1][certs] Generating "etcd/peer" certificate and key[certs] etcd/peer serving cert is signed for DNS names [localhost master01] and IPs [10.132.10.91 127.0.0.1 ::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 11.008638 seconds[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace[kubelet] Creating a ConfigMap "kubelet-config-1.22" in namespace kube-system with the configuration for the kubelets in the cluster[upload-certs] Storing the certificates in Secret "kubeadm-certs" in the "kube-system" Namespace[upload-certs] Using certificate key:9151ea7bb260a42297f2edc486d5792f67d9868169310b82ef1eb18f6e4c0f13[mark-control-plane] Marking the node master01 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 master01 as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule][bootstrap-token] Using token: abcdef.0123456789abcdef[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) $HOME/.kube/config
Alternatively, if you are the root user, you can run:
export KUBECONFIG=/etc/kubernetes/admin.conf
You should now deploy a pod network to the cluster.Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at: https://kubernetes.io/docs/concepts/cluster-administration/addons/
You can now join any number of the control-plane node running the following command on each as root:
kubeadm join 10.132.10.91:6443 --token abcdef.0123456789abcdef \ --discovery-token-ca-cert-hash sha256:4884a98b0773bc89c36dc5fa51569293103ff093e9124431c4c8c2d5801a96a2 \ --control-plane --certificate-key 9151ea7bb260a42297f2edc486d5792f67d9868169310b82ef1eb18f6e4c0f13
Please note that the certificate-key gives access to cluster sensitive data, keep it secret!As a safeguard, uploaded-certs will be deleted in two hours; If necessary, you can use"kubeadm init phase upload-certs --upload-certs" to reload certs afterward.
Then you can join any number of worker nodes by running the following on each as root:
kubeadm join 10.132.10.91:6443 --token abcdef.0123456789abcdef \ --discovery-token-ca-cert-hash sha256:4884a98b0773bc89c36dc5fa51569293103ff093e9124431c4c8c2d5801a96a2
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6）生成 kubelet 环境配置文件
# 执行命令$ mkdir -p $HOME/.kube$ sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config$ sudo chown $(id -u):$(id -g) $HOME/.kube/config
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7）配置网络插件 flannel
# 创建flannel.yml文件$ touch /export/servers/kubernetes/flannel.yml$ vim /export/servers/kubernetes/flannel.yml# 设置以下内容，需要关注有网无网时对应的地址切换---kind: NamespaceapiVersion: v1metadata: name: kube-flannel labels: pod-security.kubernetes.io/enforce: privileged---kind: ClusterRoleapiVersion: rbac.authorization.k8s.io/v1metadata: name: flannelrules:- apiGroups: - "" resources: - pods verbs: - get- apiGroups: - "" resources: - nodes verbs: - list - watch- apiGroups: - "" resources: - nodes/status verbs: - patch---kind: ClusterRoleBindingapiVersion: rbac.authorization.k8s.io/v1metadata: name: flannelroleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: flannelsubjects:- kind: ServiceAccount name: flannel namespace: kube-flannel---apiVersion: v1kind: ServiceAccountmetadata: name: flannel namespace: kube-flannel---kind: ConfigMapapiVersion: v1metadata: name: kube-flannel-cfg namespace: kube-flannel labels: tier: node app: flanneldata: 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/v1kind: DaemonSetmetadata: name: kube-flannel-ds namespace: kube-flannel labels: tier: node app: flannelspec: 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 # 在有网环境下可以切换下面地址 # image: docker.io/rancher/mirrored-flannelcni-flannel-cni-plugin:v1.1.0 # 在无网环境下需要使用私有harbor地址 image: 10.132.10.100:8090/community/mirrored-flannelcni-flannel-cni-plugin:v1.1.0 command: - cp args: - -f - /flannel - /opt/cni/bin/flannel volumeMounts: - name: cni-plugin mountPath: /opt/cni/bin - name: install-cni # 在有网环境下可以切换下面地址 # image: docker.io/rancher/mirrored-flannelcni-flannel:v0.19.1 # 在无网环境下需要使用私有harbor地址 image: 10.132.10.100:8090/community/mirrored-flannelcni-flannel:v0.19.1 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 # 在有网环境下可以切换下面地址 # image: docker.io/rancher/mirrored-flannelcni-flannel:v0.19.1 # 在无网环境下需要使用私有harbor地址 image: 10.132.10.100:8090/community/mirrored-flannelcni-flannel:v0.19.1 command: - /opt/bin/flanneld args: - --ip-masq - --kube-subnet-mgr resources: requests: cpu: "100m" memory: "50Mi" limits: 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
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8）安装网络插件 flannel
# 生效yml配置文件$ kubectl apply -f kube-flannel.yml
# 查看pods状态$ kubectl get pods -ANAMESPACE NAME READY STATUS RESTARTS AGEkube-flannel kube-flannel-ds-kjmt4 1/1 Running 0 148mkube-system coredns-7f84d7b4b5-7qr8g 1/1 Running 0 4h18mkube-system coredns-7f84d7b4b5-fljws 1/1 Running 0 4h18mkube-system etcd-master01 1/1 Running 0 4h19mkube-system kube-apiserver-master01 1/1 Running 0 4h19mkube-system kube-controller-manager-master01 1/1 Running 0 4h19mkube-system kube-proxy-wzq2t 1/1 Running 0 4h18mkube-system kube-scheduler-master01 1/1 Running 0 4h19m
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9）加入其他 master 节点
# 在master01执行如下操作# 查看token列表$ kubeadm token list
# master01执行init操作后生成加入命令如下$ kubeadm join 10.132.10.91:6443 \--token abcdef.0123456789abcdef \--discovery-token-ca-cert-hash sha256:4884a98b0773bc89c36dc5fa51569293103ff093e9124431c4c8c2d5801a96a2 \--control-plane --certificate-key 9151ea7bb260a42297f2edc486d5792f67d9868169310b82ef1eb18f6e4c0f13
# 在其他master节点执行如下操作# 分别执行上一步的加入命令，加入master节点至集群$ kubeadm join 10.132.10.91:6443 \--token abcdef.0123456789abcdef \--discovery-token-ca-cert-hash sha256:4884a98b0773bc89c36dc5fa51569293103ff093e9124431c4c8c2d5801a96a2 \--control-plane --certificate-key 9151ea7bb260a42297f2edc486d5792f67d9868169310b82ef1eb18f6e4c0f13
# 此处如果报错，一般是certificate-key过期，可以在master01执行如下命令更新$ kubeadm init phase upload-certs --upload-certs3b647155b06311d39faf70cb094d9a5e102afd1398323e820cfb3cfd868ae58f
# 将上面生成的值替换certificate-key值再次在其他master节点执行如下命令$ kubeadm join 10.132.10.91:6443 \--token abcdef.0123456789abcdef \--discovery-token-ca-cert-hash sha256:4884a98b0773bc89c36dc5fa51569293103ff093e9124431c4c8c2d5801a96a2 --control-plane --certificate-key 3b647155b06311d39faf70cb094d9a5e102afd1398323e820cfb3cfd868ae58f
# 生成kubelet环境配置文件$ mkdir -p $HOME/.kube$ sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config$ sudo chown $(id -u):$(id -g) $HOME/.kube/config
# 在任意master节点执行查看节点状态命令$ kubectl get nodesNAME STATUS ROLES AGE VERSIONmaster01 Ready control-plane,master 5h58m v1.22.4master02 Ready control-plane,master 45m v1.22.4master03 Ready control-plane,master 44m v1.22.4
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9）加入 worker 节点
# 在其他worker节点执行master01执行init操作后生成的加入命令如下# 分别执行上一步的加入命令，加入master节点至集群$ kubeadm join 10.132.10.91:6443 \--token abcdef.0123456789abcdef \--discovery-token-ca-cert-hash sha256:4884a98b0773bc89c36dc5fa51569293103ff093e9124431c4c8c2d5801a96a2
# 此处如果报错，一般是token过期，可以在master01执行如下命令重新生成加入命令$ kubeadm token create --print-join-commandkubeadm join 10.132.10.91:6443 \--token abcdef.0123456789abcdef \--discovery-token-ca-cert-hash sha256:cf30ddd3df1c6215b886df1ea378a68ad5a9faad7933d53ca9891ebbdf9a1c3f
# 将上面生成的加入命令再次在其他worker节点执行# 查看集成状态$ kubectl get nodesNAME STATUS ROLES AGE VERSIONmaster01 Ready control-plane,master 6h12m v1.22.4master02 Ready control-plane,master 58m v1.22.4master03 Ready control-plane,master 57m v1.22.4worker01 Ready <none> 5m12s v1.22.4worker02 Ready <none> 4m10s v1.22.4worker03 Ready <none> 3m42s v1.22.4
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10）配置 kubernetes dashboard
apiVersion: v1kind: Namespacemetadata: name: kubernetes-dashboard
---
apiVersion: v1kind: ServiceAccountmetadata: labels: k8s-app: kubernetes-dashboard name: kubernetes-dashboard namespace: kubernetes-dashboard
---
kind: ServiceapiVersion: v1metadata: labels: k8s-app: kubernetes-dashboard name: kubernetes-dashboard namespace: kubernetes-dashboardspec: type: NodePort ports: - port: 443 targetPort: 8443 nodePort: 31001 selector: k8s-app: kubernetes-dashboard
---
apiVersion: v1kind: Secretmetadata: labels: k8s-app: kubernetes-dashboard name: kubernetes-dashboard-certs namespace: kubernetes-dashboardtype: Opaque
---
apiVersion: v1kind: Secretmetadata: labels: k8s-app: kubernetes-dashboard name: kubernetes-dashboard-key-holder namespace: kubernetes-dashboardtype: Opaque
---
kind: ConfigMapapiVersion: v1metadata: labels: k8s-app: kubernetes-dashboard name: kubernetes-dashboard-settings namespace: kubernetes-dashboard
---
kind: RoleapiVersion: rbac.authorization.k8s.io/v1metadata: labels: k8s-app: kubernetes-dashboard name: kubernetes-dashboard namespace: kubernetes-dashboardrules: # Allow Dashboard to get, update and delete Dashboard exclusive secrets. - apiGroups: [""] resources: ["secrets"] resourceNames: ["kubernetes-dashboard-key-holder", "kubernetes-dashboard-certs", "kubernetes-dashboard-csrf"] verbs: ["get", "update", "delete"] # Allow Dashboard to get and update 'kubernetes-dashboard-settings' config map. - apiGroups: [""] resources: ["configmaps"] resourceNames: ["kubernetes-dashboard-settings"] verbs: ["get", "update"] # Allow Dashboard to get metrics. - apiGroups: [""] resources: ["services"] resourceNames: ["heapster", "dashboard-metrics-scraper"] verbs: ["proxy"] - apiGroups: [""] resources: ["services/proxy"] resourceNames: ["heapster", "http:heapster:", "https:heapster:", "dashboard-metrics-scraper", "http:dashboard-metrics-scraper"] verbs: ["get"]
---
kind: ClusterRoleapiVersion: rbac.authorization.k8s.io/v1metadata: labels: k8s-app: kubernetes-dashboard name: kubernetes-dashboardrules: # Allow Metrics Scraper to get metrics from the Metrics server - apiGroups: ["metrics.k8s.io"] resources: ["pods", "nodes"] verbs: ["get", "list", "watch"]
---
apiVersion: rbac.authorization.k8s.io/v1kind: RoleBindingmetadata: labels: k8s-app: kubernetes-dashboard name: kubernetes-dashboard namespace: kubernetes-dashboardroleRef: apiGroup: rbac.authorization.k8s.io kind: Role name: kubernetes-dashboardsubjects: - kind: ServiceAccount name: kubernetes-dashboard namespace: kubernetes-dashboard
---
apiVersion: rbac.authorization.k8s.io/v1kind: ClusterRoleBindingmetadata: name: kubernetes-dashboardroleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: kubernetes-dashboardsubjects: - kind: ServiceAccount name: kubernetes-dashboard namespace: kubernetes-dashboard
---
kind: DeploymentapiVersion: apps/v1metadata: labels: k8s-app: kubernetes-dashboard name: kubernetes-dashboard namespace: kubernetes-dashboardspec: replicas: 1 revisionHistoryLimit: 10 selector: matchLabels: k8s-app: kubernetes-dashboard template: metadata: labels: k8s-app: kubernetes-dashboard spec: securityContext: seccompProfile: type: RuntimeDefault containers: - name: kubernetes-dashboard image: kubernetesui/dashboard:v2.5.0 imagePullPolicy: Always ports: - containerPort: 8443 protocol: TCP args: - --auto-generate-certificates - --namespace=kubernetes-dashboard # Uncomment the following line to manually specify Kubernetes API server Host # If not specified, Dashboard will attempt to auto discover the API server and connect # to it. Uncomment only if the default does not work. # - --apiserver-host=http://my-address:port volumeMounts: - name: kubernetes-dashboard-certs mountPath: /certs # Create on-disk volume to store exec logs - mountPath: /tmp name: tmp-volume livenessProbe: httpGet: scheme: HTTPS path: / port: 8443 initialDelaySeconds: 30 timeoutSeconds: 30 securityContext: allowPrivilegeEscalation: false readOnlyRootFilesystem: true runAsUser: 1001 runAsGroup: 2001 volumes: - name: kubernetes-dashboard-certs secret: secretName: kubernetes-dashboard-certs - name: tmp-volume emptyDir: {} serviceAccountName: kubernetes-dashboard nodeSelector: "kubernetes.io/os": linux # Comment the following tolerations if Dashboard must not be deployed on master tolerations: - key: node-role.kubernetes.io/master effect: NoSchedule
---
kind: ServiceapiVersion: v1metadata: labels: k8s-app: dashboard-metrics-scraper name: dashboard-metrics-scraper namespace: kubernetes-dashboardspec: ports: - port: 8000 targetPort: 8000 selector: k8s-app: dashboard-metrics-scraper
---
kind: DeploymentapiVersion: apps/v1metadata: labels: k8s-app: dashboard-metrics-scraper name: dashboard-metrics-scraper namespace: kubernetes-dashboardspec: replicas: 1 revisionHistoryLimit: 10 selector: matchLabels: k8s-app: dashboard-metrics-scraper template: metadata: labels: k8s-app: dashboard-metrics-scraper spec: securityContext: seccompProfile: type: RuntimeDefault containers: - name: dashboard-metrics-scraper image: kubernetesui/metrics-scraper:v1.0.7 ports: - containerPort: 8000 protocol: TCP livenessProbe: httpGet: scheme: HTTP path: / port: 8000 initialDelaySeconds: 30 timeoutSeconds: 30 volumeMounts: - mountPath: /tmp name: tmp-volume securityContext: allowPrivilegeEscalation: false readOnlyRootFilesystem: true runAsUser: 1001 runAsGroup: 2001 serviceAccountName: kubernetes-dashboard nodeSelector: "kubernetes.io/os": linux # Comment the following tolerations if Dashboard must not be deployed on master tolerations: - key: node-role.kubernetes.io/master effect: NoSchedule volumes: - name: tmp-volume emptyDir: {}
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11）生成 dashboard 自签证书
$ mkdir -p /export/servers/kubernetes/certs && cd /export/servers/kubernetes/certs/$ openssl genrsa -out dashboard.key 2048$ openssl req -days 3650 -new -key dashboard.key -out dashboard.csr -subj /C=CN/ST=BEIJING/L=BEIJING/O=JD/OU=JD/CN=172.16.16.42$ openssl x509 -req -days 3650 -in dashboard.csr -signkey dashboard.key -out dashboard.crt
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12）执行以下操作命令
# 去除主节点的污点$ kubectl taint nodes --all node-role.kubernetes.io/master-# 创建命名空间$ kubectl create namespace kubernetes-dashboard# 创建Secret$ kubectl create secret tls kubernetes-dashboard-certs -n kubernetes-dashboard --key dashboard.key \--cert dashboard.crt
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13）生效 dashboard yml 配置文件
$ kubectl apply -f /export/servers/kubernetes/dashboard.yml# 查看pods状态$ kubectl get pods -A | grep kubernetes-dashboardkubernetes-dashboard dashboard-metrics-scraper-c45b7869d-rbdt4 1/1 Running 0 15mkubernetes-dashboard kubernetes-dashboard-764b4dd7-rt66t 1/1 Running 0 15m
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14）访问 dashboard 页面
# web浏览器访问地址：IP地址为集群任意节点（可以是LB地址）https://192.168.186.121:31001/#/login
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15）制作访问 token
# 新增配置文件 dashboard-adminuser.yaml$ touch /export/servers/kubernetes/dashboard-adminuser.yaml && vim /export/servers/kubernetes/dashboard-adminuser.yaml# 输入以下内容---apiVersion: v1kind: ServiceAccountmetadata: name: admin-user namespace: kubernetes-dashboard---apiVersion: rbac.authorization.k8s.io/v1kind: ClusterRoleBindingmetadata: name: admin-userroleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: cluster-adminsubjects:- kind: ServiceAccount name: admin-user namespace: kubernetes-dashboard # 执行yaml文件$ kubectl create -f /export/servers/kubernetes/dashboard-adminuser.yaml# 预期输出结果serviceaccount/admin-user createdclusterrolebinding.rbac.authorization.k8s.io/admin-user created# 说明：上面创建了一个叫admin-user的服务账号，并放在kubernetes-dashboard命名空间下，并将cluster-admin角色绑定到admin-user账户，这样admin-user账户就有了管理员的权限。默认情况下，kubeadm创建集群时已经创建了cluster-admin角色，直接绑定即可
# 查看admin-user账户的token$ kubectl -n kubernetes-dashboard describe secret $(kubectl -n kubernetes-dashboard get secret | grep admin-user | awk '{print $1}')# 预期输出结果Name: admin-user-token-9fppsNamespace: kubernetes-dashboardLabels: <none>Annotations: kubernetes.io/service-account.name: admin-user kubernetes.io/service-account.uid: 72c1aa28-6385-4d1a-b22c-42427b74b4c7
Type: kubernetes.io/service-account-token
Data====ca.crt: 1099 bytesnamespace: 20 bytestoken: eyJhbGciOiJSUzI1NiIsImtpZCI6IjFEckU0NXB5Yno5UV9MUFkxSUpPenJhcTFuektHazM1c2QzTGFmRzNES0EifQ.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.oA3NLhhTaXd2qvWrPDXat2w9ywdWi_77SINk4vWkfIIzMmxBEHnqvDIBvhRC3frIokNSvT71y6mXN0KHu32hBa1YWi0MuzF165ZNFtM_rSQiq9OnPxeFvLaKS-0Vzr2nWuBx_-fTt7gESReSMLEJStbPb1wOnR6kqtY66ajKK5ILeIQ77I0KXYIi7GlPEyc6q4bIjweZ0HSXDPR4JSnEAhrP8Qslrv3Oft4QZVNj47x7xKC4dyyZOMHUIj9QhkpI2gMbiZ8XDUmNok070yDc0TCxeTZKDuvdsigxCMQx6AesD-8dca5Hb8Sm4mEPkGJekvMzkLkM97y_pOBPkfTAIA
# 把上面命令执行获取到的Token复制到登录界面的Token输入框中，即可正常登录dashboard
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13）登录 dashboard 如下
kubectl 安装
1. 环境说明
2. 部署说明
Kubernetes kubectl 客户端。
3. 解压之前上传的 kubadm-rpm 包
$ tar xzvf kubeadm-rpm.tgz
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4. 执行安装
$ rpm -ivh bc7a9f8e7c6844cfeab2066a84b8fecf8cf608581e56f6f96f80211250f9a5e7-kubectl-1.22.4-0.x86_64.rpm
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5. 增加执行权限
# 生成kubelet环境配置文件$ mkdir -p $HOME/.kube$ sudo touch $HOME/.kube/config$ sudo chown $(id -u):$(id -g) $HOME/.kube/config# 从任意master节点复制内容至上面的配置文件
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6. 查看版本
$ kubectl versionClient Version: version.Info{Major:"1", Minor:"22", GitVersion:"v1.22.4", GitCommit:"b695d79d4f967c403a96986f1750a35eb75e75f1", GitTreeState:"clean", BuildDate:"2021-11-17T15:48:33Z", GoVersion:"go1.16.10", Compiler:"gc", Platform:"linux/amd64"}Server Version: version.Info{Major:"1", Minor:"22", GitVersion:"v1.22.4", GitCommit:"b695d79d4f967c403a96986f1750a35eb75e75f1", GitTreeState:"clean", BuildDate:"2021-11-17T15:42:41Z", GoVersion:"go1.16.10", Compiler:"gc", Platform:"linux/amd64"}
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helm 安装
1. 环境说明
2. 部署说明
Kubernetes 资源包及配置管理工具。
3. 下载 helm 离线安装包并上传至服务器
$ wget https://get.helm.sh/helm-v3.9.3-linux-amd64.tar.gz
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4. 解压安装包
$ tar -zxvf helm-v3.9.3-linux-amd64.tar.gz -C /export/servers/$ cd /export/servers/linux-amd64
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5. 增加执行权限
$ cp linux-amd64/helm /usr/local/bin/$ chmod +x /usr/local/bin/helm
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6. 查看版本
$ helm versionversion.BuildInfo{Version:"v3.9.3", GitCommit:"414ff28d4029ae8c8b05d62aa06c7fe3dee2bc58", GitTreeState:"clean", GoVersion:"go1.17.13"}
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设置本地存储挂载 nas
$ mkdir /export/servers/helm_chart/local-path-storage && cd /export/servers/helm_chart/local-path-storage/local-path-storage.yaml$ vim local-path-storage.yaml# 设置以下内容，设置"paths":["/home/admin/local-path-provisioner"] 为nas目录，没有目录需要创建apiVersion: v1kind: Namespacemetadata: name: local-path-storage ---apiVersion: v1kind: ServiceAccountmetadata: name: local-path-provisioner-service-account namespace: local-path-storage ---apiVersion: rbac.authorization.k8s.io/v1kind: ClusterRolemetadata: name: local-path-provisioner-rolerules: - apiGroups: [ "" ] resources: [ "nodes", "persistentvolumeclaims", "configmaps" ] verbs: [ "get", "list", "watch" ] - apiGroups: [ "" ] resources: [ "endpoints", "persistentvolumes", "pods" ] verbs: [ "*" ] - apiGroups: [ "" ] resources: [ "events" ] verbs: [ "create", "patch" ] - apiGroups: [ "storage.k8s.io" ] resources: [ "storageclasses" ] verbs: [ "get", "list", "watch" ] ---apiVersion: rbac.authorization.k8s.io/v1kind: ClusterRoleBindingmetadata: name: local-path-provisioner-bindroleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: local-path-provisioner-rolesubjects: - kind: ServiceAccount name: local-path-provisioner-service-account namespace: local-path-storage ---apiVersion: apps/v1kind: Deploymentmetadata: name: local-path-provisioner namespace: local-path-storagespec: replicas: 1 selector: matchLabels: app: local-path-provisioner template: metadata: labels: app: local-path-provisioner spec: serviceAccountName: local-path-provisioner-service-account containers: - name: local-path-provisioner image: rancher/local-path-provisioner:v0.0.21 imagePullPolicy: IfNotPresent command: - local-path-provisioner - --debug - start - --config - /etc/config/config.json volumeMounts: - name: config-volume mountPath: /etc/config/ env: - name: POD_NAMESPACE valueFrom: fieldRef: fieldPath: metadata.namespace volumes: - name: config-volume configMap: name: local-path-config ---apiVersion: storage.k8s.io/v1kind: StorageClassmetadata: name: local-pathprovisioner: rancher.io/local-pathvolumeBindingMode: WaitForFirstConsumerreclaimPolicy: Delete ---kind: ConfigMapapiVersion: v1metadata: name: local-path-config namespace: local-path-storagedata: config.json: |- { "nodePathMap":[ { "node":"DEFAULT_PATH_FOR_NON_LISTED_NODES", "paths":["/nas_data/jdiot/local-path-provisioner"] } ] } setup: |- #!/bin/sh while getopts "m:s:p:" opt do case $opt in p) absolutePath=$OPTARG ;; s) sizeInBytes=$OPTARG ;; m) volMode=$OPTARG ;; esac done mkdir -m 0777 -p ${absolutePath} teardown: |- #!/bin/sh while getopts "m:s:p:" opt do case $opt in p) absolutePath=$OPTARG ;; s) sizeInBytes=$OPTARG ;; m) volMode=$OPTARG ;; esac done rm -rf ${absolutePath} helperPod.yaml: |- apiVersion: v1 kind: Pod metadata: name: helper-pod spec: containers: - name: helper-pod image: busybox
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注：以上依赖镜像需要从公网环境下载依赖并导入镜像库，需要设置以上对应镜像地址从私有镜像库拉取镜像
生效本地存储 yaml
$ kubectl apply -f local-path-storage.yaml -n local-path-storage
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设置 k8s 默认存储
$ kubectl patch storageclass local-path -p '{"metadata": {"annotations":{"storageclass.kubernetes.io/is-default-class":"true"}}}'
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注：后面部署的中间件及服务需要修改对应的存储为本地存储："storageClass": "local-path"
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