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
编号 |
主机名称 |
IP |
资源类型 |
CPU |
内存 |
磁盘 |
01 |
k8s-master1 |
10.132.10.91 |
CentOS-7 |
4c |
8g |
40g |
02 |
k8s-master1 |
10.132.10.92 |
CentOS-7 |
4c |
8g |
40g |
03 |
k8s-master1 |
10.132.10.93 |
CentOS-7 |
4c |
8g |
40g |
04 |
k8s-worker1 |
10.132.10.94 |
CentOS-7 |
8c |
16g |
200g |
05 |
k8s-worker2 |
10.132.10.95 |
CentOS-7 |
8c |
16g |
200g |
06 |
k8s-worker3 |
10.132.10.96 |
CentOS-7 |
8c |
16g |
200g |
07 |
k8s-worker4 |
10.132.10.97 |
CentOS-7 |
8c |
16g |
200g |
08 |
k8s-worker5 |
10.132.10.98 |
CentOS-7 |
8c |
16g |
200g |
09 |
k8s-worker6 |
10.132.10.99 |
CentOS-7 |
8c |
16g |
200g |
10 |
k8s-harbor&deploy |
10.132.10.100 |
CentOS-7 |
4c |
8g |
500g |
11 |
k8s-nfs |
10.132.10.101 |
CentOS-7 |
2c |
4g |
2000g |
12 |
k8s-lb |
10.132.10.120 |
lb内网 |
2c |
4g |
40g |
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 = 1048576
net.ipv4.tcp_syncookies = 1
net.ipv4.tcp_tw_reuse = 1
net.ipv4.tcp_fin_timeout = 5
net.ipv4.neigh.default.gc_stale_time = 120
net.ipv4.conf.default.rp_filter = 0
net.ipv4.conf.all.rp_filter = 0
net.ipv4.conf.all.arp_announce = 2
net.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
名称 |
说明 |
操作系统 |
CentOS Linux release 7.8.2003 |
ansible |
2.9.27 |
节点 |
deploy |
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 --version
ansible 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-master1
10.132.10.92 node_name=k8s-master2
10.132.10.93 node_name=k8s-master3
[worker]
10.132.10.94 node_name=k8s-worker1
10.132.10.95 node_name=k8s-worker2
10.132.10.96 node_name=k8s-worker3
10.132.10.97 node_name=k8s-worker4
10.132.10.98 node_name=k8s-worker5
10.132.10.99 node_name=k8s-worker6
[etcd]
10.132.10.91 etcd_name=etcd1
10.132.10.92 etcd_name=etcd2
10.132.10.93 etcd_name=etcd3
[k8s:children]
master
worker
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 checking
host_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 << EOF
127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4
::1 localhost localhost.localdomain localhost6 localhost6.localdomain6
10.132.10.100 deploy harbor
10.132.10.91 master01
10.132.10.92 master02
10.132.10.93 master03
10.132.10.94 worker01
10.132.10.95 worker02
10.132.10.96 worker03
10.132.10.97 worker04
10.132.10.98 worker05
10.132.10.99 worker06
EOF
$ 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
名称 |
说明 |
操作系统 |
CentOS Linux release 7.8.2003 |
docker |
docker-ce-20.10.17 |
节点 |
deploy |
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
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 version
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
docker-compose安装
1. 环境说明
名称 |
说明 |
操作系统 |
CentOS Linux release 7.8.2003 |
docker-compose |
docker-compose-linux-x86_64 |
节点 |
deploy |
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 version
Docker Compose version v2.9.0
harbor安装
1. 环境说明
名称 |
说明 |
操作系统 |
CentOS Linux release 7.8.2003 |
harbor |
harbor-offline-installer-v2.4.3 |
节点 |
harbor |
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: 10.132.10.100
http.port: 8090
data_volume: /export/data/harbor
log.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 images
REPOSITORY TAG IMAGE ID CREATED SIZE
goharbor/harbor-exporter v2.4.3 776ac6ee91f4 4 weeks ago 81.5MB
goharbor/chartmuseum-photon v2.4.3 f39a9694988d 4 weeks ago 172MB
goharbor/redis-photon v2.4.3 b168e9750dc8 4 weeks ago 154MB
goharbor/trivy-adapter-photon v2.4.3 a406a715461c 4 weeks ago 251MB
goharbor/notary-server-photon v2.4.3 da89404c7cf9 4 weeks ago 109MB
goharbor/notary-signer-photon v2.4.3 38468ac13836 4 weeks ago 107MB
goharbor/harbor-registryctl v2.4.3 61243a84642b 4 weeks ago 135MB
goharbor/registry-photon v2.4.3 9855479dd6fa 4 weeks ago 77.9MB
goharbor/nginx-photon v2.4.3 0165c71ef734 4 weeks ago 44.4MB
goharbor/harbor-log v2.4.3 57ceb170dac4 4 weeks ago 161MB
goharbor/harbor-jobservice v2.4.3 7fea87c4b884 4 weeks ago 219MB
goharbor/harbor-core v2.4.3 d864774a3b8f 4 weeks ago 197MB
goharbor/harbor-portal v2.4.3 85f00db66862 4 weeks ago 53.4MB
goharbor/harbor-db v2.4.3 7693d44a2ad6 4 weeks ago 225MB
goharbor/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
名称 |
说明 |
操作系统 |
CentOS Linux release 7.8.2003 |
docker |
docker-ce-20.10.17 |
节点 |
k8s集群全部节点 |
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: 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
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=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
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-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
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: 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:
- list
- watch
- apiGroups:
- ""
resources:
- nodes/status
verbs:
- patch
---
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
# 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 -A
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-flannel kube-flannel-ds-kjmt4 1/1 Running 0 148m
kube-system coredns-7f84d7b4b5-7qr8g 1/1 Running 0 4h18m
kube-system coredns-7f84d7b4b5-fljws 1/1 Running 0 4h18m
kube-system etcd-master01 1/1 Running 0 4h19m
kube-system kube-apiserver-master01 1/1 Running 0 4h19m
kube-system kube-controller-manager-master01 1/1 Running 0 4h19m
kube-system kube-proxy-wzq2t 1/1 Running 0 4h18m
kube-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-certs
3b647155b06311d39faf70cb094d9a5e102afd1398323e820cfb3cfd868ae58f
# 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 nodes
NAME STATUS ROLES AGE VERSION
master01 Ready control-plane,master 5h58m v1.22.4
master02 Ready control-plane,master 45m v1.22.4
master03 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-command
kubeadm 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 nodes
NAME STATUS ROLES AGE VERSION
master01 Ready control-plane,master 6h12m v1.22.4
master02 Ready control-plane,master 58m v1.22.4
master03 Ready control-plane,master 57m v1.22.4
worker01 Ready <none> 5m12s v1.22.4
worker02 Ready <none> 4m10s v1.22.4
worker03 Ready <none> 3m42s v1.22.4
10）配置kubernetes dashboard
apiVersion: v1
kind: Namespace
metadata:
name: kubernetes-dashboard
---
apiVersion: v1
kind: ServiceAccount
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
---
kind: Service
apiVersion: v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
spec:
type: NodePort
ports:
- port: 443
targetPort: 8443
nodePort: 31001
selector:
k8s-app: kubernetes-dashboard
---
apiVersion: v1
kind: Secret
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-certs
namespace: kubernetes-dashboard
type: Opaque
---
apiVersion: v1
kind: Secret
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-key-holder
namespace: kubernetes-dashboard
type: Opaque
---
kind: ConfigMap
apiVersion: v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-settings
namespace: kubernetes-dashboard
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
rules:
# 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: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
rules:
# 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/v1
kind: RoleBinding
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: kubernetes-dashboard
subjects:
- kind: ServiceAccount
name: kubernetes-dashboard
namespace: kubernetes-dashboard
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: kubernetes-dashboard
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: kubernetes-dashboard
subjects:
- kind: ServiceAccount
name: kubernetes-dashboard
namespace: kubernetes-dashboard
---
kind: Deployment
apiVersion: apps/v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
spec:
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: Service
apiVersion: v1
metadata:
labels:
k8s-app: dashboard-metrics-scraper
name: dashboard-metrics-scraper
namespace: kubernetes-dashboard
spec:
ports:
- port: 8000
targetPort: 8000
selector:
k8s-app: dashboard-metrics-scraper
---
kind: Deployment
apiVersion: apps/v1
metadata:
labels:
k8s-app: dashboard-metrics-scraper
name: dashboard-metrics-scraper
namespace: kubernetes-dashboard
spec:
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-dashboard
kubernetes-dashboard dashboard-metrics-scraper-c45b7869d-rbdt4 1/1 Running 0 15m
kubernetes-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: v1
kind: ServiceAccount
metadata:
name: admin-user
namespace: kubernetes-dashboard
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: admin-user
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: cluster-admin
subjects:
- 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 created
clusterrolebinding.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-9fpps
Namespace: kubernetes-dashboard
Labels: <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 bytes
namespace: 20 bytes
token: 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
名称 |
说明 |
操作系统 |
CentOS Linux release 7.8.2003 |
kubectl |
kubectl-1.22.4-0.x86_64 |
节点 |
deploy |
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 version
Client 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
名称 |
说明 |
操作系统 |
CentOS Linux release 7.8.2003 |
helm |
helm-v3.9.3-linux-amd64.tar.gz |
节点 |
deploy |
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 version
version.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: v1
kind: Namespace
metadata:
name: local-path-storage
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: local-path-provisioner-service-account
namespace: local-path-storage
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: local-path-provisioner-role
rules:
- 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/v1
kind: ClusterRoleBinding
metadata:
name: local-path-provisioner-bind
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: local-path-provisioner-role
subjects:
- kind: ServiceAccount
name: local-path-provisioner-service-account
namespace: local-path-storage
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: local-path-provisioner
namespace: local-path-storage
spec:
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/v1
kind: StorageClass
metadata:
name: local-path
provisioner: rancher.io/local-path
volumeBindingMode: WaitForFirstConsumer
reclaimPolicy: Delete
---
kind: ConfigMap
apiVersion: v1
metadata:
name: local-path-config
namespace: local-path-storage
data:
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"