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

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

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

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

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

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

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)]

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

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

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"

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'

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） 在线安装

$ yum -y install docker-ce-20.10.17

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

3） 重新加载配置文件，启动并查看状态

$ systemctl start docker$ systemctl status docker

4） 设置开机自启

$ systemctl enable docker 

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

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

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

3） 查看版本

$ docker-compose versionDocker Compose version v2.9.0

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

4. 解压安装包

$ tar -xzvf harbor-offline-installer-v2.4.3.tgz -C /export/servers/$ cd /export/servers/harbor

5. 修改配置文件

$ mv harbor.yml.tmpl harbor.yml$ vim harbor.yml

6. 设置以下内容

hostname: 10.132.10.100http.port: 8090data_volume: /export/data/harborlog.location: /export/logs/harbor

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

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

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 

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}

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/*"

4） 设置开机自启并启动

$ ansible k8s -m shell -a "systemctl enable docker && systemctl start docker"

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:      trueServer: 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

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

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

无网环境安装

1） 上传kubeadm及依赖rpm包

$ ls /export/upload/kubeadm-rpm.tgz 

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}

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/*"

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

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

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-proxyYour 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/configAlternatively, if you are the root user, you can run:  export KUBECONFIG=/etc/kubernetes/admin.confYou 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 9151ea7bb260a42297f2edc486d5792f67d9868169310b82ef1eb18f6e4c0f13Please 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

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

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

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

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

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

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: {}

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

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

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

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

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-42427b74b4c7Type:  kubernetes.io/service-account-tokenData====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

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 

4. 执行安装

$ rpm -ivh bc7a9f8e7c6844cfeab2066a84b8fecf8cf608581e56f6f96f80211250f9a5e7-kubectl-1.22.4-0.x86_64.rpm

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

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"}

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

4. 解压安装包

$ tar -zxvf helm-v3.9.3-linux-amd64.tar.gz -C /export/servers/$ cd /export/servers/linux-amd64

5. 增加执行权限

$ cp linux-amd64/helm /usr/local/bin/$ chmod +x /usr/local/bin/helm

6. 查看版本

$ helm versionversion.BuildInfo{Version:"v3.9.3", GitCommit:"414ff28d4029ae8c8b05d62aa06c7fe3dee2bc58", GitTreeState:"clean", GoVersion:"go1.17.13"}

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

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

设置k8s默认存储

$ kubectl patch storageclass local-path  -p '{"metadata": {"annotations":{"storageclass.kubernetes.io/is-default-class":"true"}}}'

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"