从零开始搭建Kubernetes集群步骤

描述

虽然网上有大量从零搭建 K8S 的文章,但大都针对老版本,若直接照搬去安装最新的 1.20 版本会遇到一堆问题。故此将我的安装步骤记录下来,希望能为读者提供 copy and paste 式的集群搭建帮助。

1. 部署准备工作

部署最小化 K8S 集群:master + node1 + node2

Ubuntu 是一款基于 Debian Linux 的以桌面应用为主的操作系统,内容涵盖文字处理、电子邮件、软件开发工具和 Web 服务等,可供用户免费下载、使用和分享。

➜ vgs

Current machine states:

master running (virtualbox)

node1 running (virtualbox)

node2 running (virtualbox)

1.1 基础环境信息

设置系统主机名以及 Host 文件各节点之间的相互解析

使用这个的 Vagrantfile 启动的三节点服务已经配置好了

以下使用 master 节点进行演示查看,其他节点操作均一致

# hostnamectl

vagrant@k8s-master:~$ hostnamectl

Static hostname: k8s-master

# hosts

vagrant@k8s-master:~$ cat /etc/hosts

127.0.0.1 localhost

127.0.1.1 vagrant.vm vagrant

192.168.30.30 k8s-master

192.168.30.31 k8s-node1

192.168.30.32 k8s-node2

# ping

vagrant@k8s-master:~$ ping k8s-node1

PING k8s-node1 (192.168.30.31) 56(84) bytes of data.

64 bytes from k8s-node1 (192.168.30.31): icmp_seq=1 ttl=64 time=0.689 ms

1.2 阿里源配置

配置 Ubuntu 的阿里源来加速安装速度

阿里源镜像地址

# 登录服务器

➜ vgssh master/node1/nod2

Welcome to Ubuntu 18.04.2 LTS (GNU/Linux 4.15.0-50-generic x86_64)

# 设置阿里云Ubuntu镜像

$ sudo cp /etc/apt/sources.list{,.bak}

$ sudo vim /etc/apt/sources.list

# 配置kubeadm的阿里云镜像源

$ sudo vim /etc/apt/sources.list

deb https://mirrors.aliyun.com/kubernetes/apt kubernetes-xenial main

$ sudo gpg --keyserver keyserver.ubuntu.com --recv-keys BA07F4FB

$ sudo gpg --export --armor BA07F4FB | sudo apt-key add -

# 配置docker安装

$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

$ sudo apt-key fingerprint 0EBFCD88

$ sudo vim /etc/apt/sources.list

deb [arch=amd64] https://download.docker.com/linux/ubuntu bionic stable

# 更新仓库

$ sudo apt update

$ sudo apt dist-upgrade

1.3 基础工具安装

部署阶段的基础工具安装

基础组件 docker

部署工具 kubeadm

路由规则 ipvsadm

时间同步 ntp

# 基础工具安装

$ sudo apt install -y

docker-ce docker-ce-cli containerd.io

kubeadm ipvsadm

ntp ntpdate

nginx supervisor

# 将当前普通用户加入docker组(需重新登录)

$ sudo usermod -a -G docker $USER# 服务启用

$ sudo systemctl enable docker.service

$ sudo systemctl start docker.service

$ sudo systemctl enable kubelet.service

$ sudo systemctl start kubelet.service

1.4 操作系统配置

操作系统相关配置

关闭缓存

配置内核参数

调整系统时区

升级内核版本(默认为4.15.0的版本)

# 关闭缓存

$ sudo swapoff -a

# 为K8S来调整内核参数

$ sudo touch /etc/sysctl.d/kubernetes.conf

$ sudo cat 》 /etc/sysctl.d/kubernetes.conf 《《EOF

net.bridge.bridge-nf-call-iptables = 1 # 开启网桥模式(必须)

net.bridge.bridge-nf-call-ip6tables = 1 # 开启网桥模式(必须)

net.ipv6.conf.all.disable_ipv6 = 1 # 关闭IPv6协议(必须)

net.ipv4.ip_forward = 1 # 转发模式(默认开启)

vm.panic_on_oom=0 # 开启OOM(默认开启)

vm.swappiness = 0 # 禁止使用swap空间

vm.overcommit_memory=1 # 不检查物理内存是否够用

fs.inotify.max_user_instances=8192

fs.inotify.max_user_watches=1048576

fs.file-max = 52706963 # 设置文件句柄数量

fs.nr_open = 52706963 # 设置文件的最大打开数量

net.netfilter.nf_conntrack_max = 2310720

EOF

# 查看系统内核参数的方式

$ sudo sysctl -a | grep xxx

# 使内核参数配置文件生效

$ sudo sysctl -p /etc/sysctl.d/kubernetes.conf

# 设置系统时区为中国/上海

$ sudo timedatectl set-timezone Asia/Shanghai

# 将当前的UTC时间写入硬件时钟

$ sudo timedatectl set-local-rtc 0

1.5 开启 ipvs 服务

开启 ipvs 服务

kube-proxy 开启 ipvs 的前置条件

# 载入指定的个别模块

$ modprobe br_netfilter

# 修改配置

$ cat 》 /etc/sysconfig/modules/ipvs.modules 《《EOF

#!/bin/bash

modprobe -- ip_vs

modprobe -- ip_vs_rr

modprobe -- ip_vs_wrr

modprobe -- ip_vs_sh

modprobe -- nf_conntrack_ipv

EOF

# 加载配置

$ chmod 755 /etc/sysconfig/modules/ipvs.modules

&& bash /etc/sysconfig/modules/ipvs.modules

&& lsmod | grep -e ip_vs -e nf_conntrack_ipv

2. 部署 Master 节点

节点最低配置: 2C+2G 内存;从节点资源尽量充足

kubeadm 工具的 init 命令,即可初始化以单节点部署的 master。为了避免翻墙,这里可以使用阿里云的谷歌源来代替。在执行 kubeadm 部署命令的时候,指定对应地址即可。当然,可以将其加入本地的镜像库之中,更易维护。

注意事项

阿里云谷歌源地址

使用 kubeadm 定制控制平面配置

# 登录服务器

➜ vgssh master

Welcome to Ubuntu 18.04.2 LTS (GNU/Linux 4.15.0-50-generic x86_64)

# 部署节点(命令行)# 注意pod和service的地址需要不同(否则会报错)

$ sudo kubeadm init

--kubernetes-version=1.20.2

--image-repository registry.aliyuncs.com/google_containers

--apiserver-advertise-address=192.168.30.30

--pod-network-cidr=10.244.0.0/16

--service-cidr=10.245.0.0/16

# 部署镜像配置(配置文件)

$ sudo kubeadm init --config 。/kubeadm-config.yaml

Your Kubernetes control-plane has initialized successfully!

# 查看IP段是否生效(iptable)

$ ip route show

10.244.0.0/24 dev cni0 proto kernel scope link src 10.244.0.1

10.244.1.0/24 via 10.244.1.0 dev flannel.1 onlink

10.244.2.0/24 via 10.244.2.0 dev flannel.1 onlink

# # 查看IP段是否生效(ipvs)

$ ipvsadm -L -n

IP Virtual Server version 1.2.1 (size=4096)

Prot LocalAddress:Port Scheduler Flags

-》 RemoteAddress:Port Forward Weight ActiveConn InActConn

配置文件定义

接口使用了 v1beta2 版本

配置主节点 IP 地址为 192.168.30.30

为 flannel 分配的是 10.244.0.0/16 网段

选择的 kubernetes 是当前最新的 1.20.2 版本

加入了 controllerManager 的水平扩容功能

# kubeadm-config.yaml# sudo kubeadm config print init-defaults 》 kubeadm-config.yamlapiVersion: kubeadm.k8s.io/v1beta2imageRepository: registry.aliyuncs.com/google_containerskind: ClusterConfigurationkubernetesVersion: v1.20.2apiServer:

extraArgs:

advertise-address: 192.168.30.30networking:

podSubnet: 10.244.0.0/16controllerManager:

ExtraArgs:

horizontal-pod-autoscaler-use-rest-clients: “true”

horizontal-pod-autoscaler-sync-period: “10s”

node-monitor-grace-period: “10s”

执行成功之后会输出如下信息,需要安装如下步骤操作下

第一步 在 kubectl 默认控制和操作集群节点的时候,需要使用到 CA 的密钥,传输过程是通过 TLS 协议保障通讯的安全性。通过下面 3 行命令拷贝密钥信息到当前用户家目录下,这样 kubectl 执行时会首先访问 .kube 目录,使用这些授权信息访问集群。

第二步 之后添加 worker 节点时,要通过 token 才能保障安全性。因此,先把显示的这行命令保存下来,以备后续使用会用到。

# master setting step one

To start 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

# master setting step two

You should now deploy a pod network to the cluster.

Run “kubectl apply -f [podnetwork].yaml” with one of the options listed:

https://kubernetes.io/docs/concepts/cluster-administration/addons/

Join any number of worker nodes by running the following on each as root:

kubeadm join 192.168.30.30:6443

--token lebbdi.p9lzoy2a16tmr6hq

--discovery-token-ca-cert-hash

sha256:6c79fd83825d7b2b0c3bed9e10c428acf8ffcd615a1d7b258e9b500848c20cae

将子节点加入主节点中

$ kubectl get nodes

NAME STATUS ROLES AGE VERSION

k8s-master NotReady control-plane,master 62m v1.20.2

k8s-node1 NotReady 《none》 82m v1.20.2

k8s-node2 NotReady 《none》 82m v1.20.2

# 查看token令牌

$ sudo kubeadm token list

# 生成token令牌

$ sudo kubeadm token create

# 忘记sha编码

$ openssl x509 -pubkey -in /etc/kubernetes/pki/ca.crt

| openssl rsa -pubin -outform der 2》/dev/null

| openssl dgst -sha256 -hex | sed ‘s/^.* //’

# 生成一个新的 token 令牌(比上面的方便)

$ kubeadm token generate

# 直接生成 join 命令(比上面的方便)

$ kubeadm token create 《token_generate》 --print-join-command --ttl=0

执行完成之后可以通过如下命令,查看主节点信息

默认生成四个命名空间default、kube-system、kube-public、kube-node-lease部署的核心服务有以下几个 (kube-system)coredns、etcd

kube-apiserver、kube-scheduler

kube-controller-manager、kube-controller-manager此时 master 并没有 ready 状态(需要安装网络插件),下一章节中,我们将安装 flannel 这个网络插件

# 命名空间

$ kubectl get namespace

NAME STATUS AGE

default Active 19m

kube-node-lease Active 19m

kube-public Active 19m

kube-system Active 19m

# 核心服务

$ kubectl get pod -n kube-system

NAME READY STATUS RESTARTS AGE

coredns-7f89b7bc75-bh42f 1/1 Running 0 19m

coredns-7f89b7bc75-dvzpl 1/1 Running 0 19m

etcd-k8s-master 1/1 Running 0 19m

kube-apiserver-k8s-master 1/1 Running 0 19m

kube-controller-manager-k8s-master 1/1 Running 0 19m

kube-proxy-5rlpv 1/1 Running 0 19m

kube-scheduler-k8s-master 1/1 Running 0 19m

3. 部署 flannel 网络

网络服务用于管理 K8S 集群中的服务网络

flannel 网络需要指定 IP 地址段,即上一步中通过编排文件设置的 10.244.0.0/16。其实可以通过 flannel 官方和 HELM 工具直接部署服务,但是原地址是需要搭梯子的。所以,可以将其内容保存在如下配置文件中,修改对应镜像地址。

部署 flannel 服务的官方下载地址

# 部署flannel服务# 1.修改镜像地址(如果下载不了的话)# 2.修改Network为--pod-network-cidr的参数IP段

$ kubectl apply -f 。/kube-flannel.yml

# 如果部署出现问题可通过如下命令查看日志

$ kubectl logs kube-flannel-ds-6xxs5 --namespace=kube-system

$ kubectl describe pod kube-flannel-ds-6xxs5 --namespace=kube-system

Linux

如果使用当中存在问题的,可以参考官方的问题手册

因为我们这里使用的是 Vagrant 虚拟出来的机器进行 K8S 的部署,但是在运行对应 yaml 配置的时候,会报错。通过查看日志发现是因为默认绑定的是虚拟机上面的 eth0 这块网卡,而这块网卡是 Vagrant 使用的,我们应该绑定的是 eth1 才对。

Vagrant 通常为所有 VM 分配两个接口,第一个为所有主机分配的 IP 地址为 10.0.2.15,用于获得 NAT 的外部流量。这样会导致 flannel 部署存在问题。通过官方问题说明,我们可以使用 --iface=eth1 这个参数选择第二个网卡。

对应的参数使用方式,可以参考 flannel use –iface=eth1 中的回答自行添加,而这里我直接修改了启动的配置文件,在启动服务的时候通过 args 修改了,如下所示。

$ kubectl get pods -n kube-system

NAME READY STATUS RESTARTS AGE

coredns-7f89b7bc75-bh42f 1/1 Running 0 61m

coredns-7f89b7bc75-dvzpl 1/1 Running 0 61m

etcd-k8s-master 1/1 Running 0 62m

kube-apiserver-k8s-master 1/1 Running 0 62m

kube-controller-manager-k8s-master 1/1 Running 0 62m

kube-flannel-ds-zl148 1/1 Running 0 44s

kube-flannel-ds-ll523 1/1 Running 0 44s

kube-flannel-ds-wpmhw 1/1 Running 0 44s

kube-proxy-5rlpv 1/1 Running 0 61m

kube-scheduler-k8s-master 1/1 Running 0 62m

配置文件如下所示

---apiVersion: policy/v1beta1kind: PodSecurityPolicymetadata:

name: psp.flannel.unprivileged

annotations:

seccomp.security.alpha.kubernetes.io/allowedProfileNames: docker/default

seccomp.security.alpha.kubernetes.io/defaultProfileName: docker/default

apparmor.security.beta.kubernetes.io/allowedProfileNames: runtime/default

apparmor.security.beta.kubernetes.io/defaultProfileName: runtime/defaultspec:

privileged: false

volumes:

- configMap

- secret

- emptyDir

- hostPath

allowedHostPaths:

- pathPrefix: “/etc/cni/net.d”

- pathPrefix: “/etc/kube-flannel”

- pathPrefix: “/run/flannel”

readOnlyRootFilesystem: false

# Users and groups

runAsUser:

rule: RunAsAny

supplementalGroups:

rule: RunAsAny

fsGroup:

rule: RunAsAny

# Privilege Escalation

allowPrivilegeEscalation: false

defaultAllowPrivilegeEscalation: false

# Capabilities

allowedCapabilities: [“NET_ADMIN”, “NET_RAW”]

defaultAddCapabilities: []

requiredDropCapabilities: []

# Host namespaces

hostPID: false

hostIPC: false

hostNetwork: true

hostPorts:

- min: 0

max: 65535

# SELinux

seLinux:

# SELinux is unused in CaaSP

rule: “RunAsAny”---kind: ClusterRoleapiVersion: rbac.authorization.k8s.io/v1metadata:

name: flannelrules:

- apiGroups: [“extensions”]

resources: [“podsecuritypolicies”]

verbs: [“use”]

resourceNames: [“psp.flannel.unprivileged”]

- 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-system---apiVersion: v1kind: ServiceAccountmetadata:

name: flannel

namespace: kube-system---kind: ConfigMapapiVersion: v1metadata:

name: kube-flannel-cfg

namespace: kube-system

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-system

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

image: quay.io/coreos/flannel:v0.13.1-rc1

command:

- cp

args:

- -f

- /etc/kube-flannel/cni-conf.json

- /etc/cni/net.d/10-flannel.conflist

volumeMounts:

- name: cni

mountPath: /etc/cni/net.d

- name: flannel-cfg

mountPath: /etc/kube-flannel/

containers:

- name: kube-flannel

image: quay.io/coreos/flannel:v0.13.1-rc1

command:

- /opt/bin/flanneld

args:

- --ip-masq

- --kube-subnet-mgr

- --iface=eth1

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

volumeMounts:

- name: run

mountPath: /run/flannel

- name: flannel-cfg

mountPath: /etc/kube-flannel/

volumes:

- name: run

hostPath:

path: /run/flannel

- name: cni

hostPath:

path: /etc/cni/net.d

- name: flannel-cfg

configMap:

name: kube-flannel-cfg

至此集群部署成功!如果有参数错误需要修改,你也可以在 reset 后重新 init 集群。

$ kubectl get nodes

NAME STATUS ROLES AGE VERSION

k8s-master Ready control-plane,master 62m v1.20.2

k8s-node1 Ready control-plane,master 82m v1.20.2

k8s-node2 Ready control-plane,master 82m v1.20.2

# 重启集群

$ sudo kubeadm reset

$ sudo kubeadm init

4. 部署 dashboard 服务

以 WEB 页面的可视化 dashboard 来监控集群的状态

这个还是会遇到需要搭梯子下载启动配置文件的问题,下面是对应的下载地址,可以下载之后上传到服务器上面在进行部署。

部署 dashboard 服务的官方下载地址

# 部署flannel服务

$ kubectl apply -f 。/kube-dashboard.yaml

# 如果部署出现问题可通过如下命令查看日志

$ kubectl logs

kubernetes-dashboard-c9fb67ffc-nknpj

--namespace=kubernetes-dashboard

$ kubectl describe pod

kubernetes-dashboard-c9fb67ffc-nknpj

--namespace=kubernetes-dashboard

$ kubectl get svc -n kubernetes-dashboard

NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE

dashboard-metrics-scraper ClusterIP 10.245.214.11 《none》 8000/TCP 26s

kubernetes-dashboard ClusterIP 10.245.161.146 《none》 443/TCP 26s

需要注意的是 dashboard 默认不允许外网访问,即使通过 kubectl proxy 允许外网访问。但 dashboard 又只允许 HTTPS 访问,这样 kubeadm init 时自签名的 CA 证书是不被浏览器承认的。

我采用的方案是 Nginx 作为反向代理,使用 Lets Encrypt 提供的有效证书对外提供服务,再经由 proxy_pass 指令反向代理到 kubectl proxy 上,如下所示。此时,本地可经由 8888 访问到 dashboard 服务,再通过 Nginx 访问它。

# 代理(可以使用supervisor)

$ kubectl proxy --accept-hosts=‘^*$’

$ kubectl proxy --port=8888 --accept-hosts=‘^*$’# 测试代理是否正常(默认监听在8001端口上)

$ curl -X GET -L http://localhost:8001

# 本地(可以使用nginx)

proxy_pass http://localhost:8001;

proxy_pass http://localhost:8888;

# 外网访问如下URL地址

https://mydomain/api/v1/namespaces/kubernetes-dashboard/services/https/proxy/#/login

配置文件整理

nginx

supervisor

# k8s.conf

client_max_body_size 80M;

client_body_buffer_size 128k;

proxy_connect_timeout 600;

proxy_read_timeout 600;

proxy_send_timeout 600;

server {

listen 8080 ssl;

server_name _;

ssl_certificate /etc/kubernetes/pki/ca.crt;

ssl_certificate_key /etc/kubernetes/pki/ca.key;

access_log /var/log/nginx/k8s.access.log;

error_log /var/log/nginx/k8s.error.log error;

location / {

proxy_set_header X-Forwarded-Proto $scheme;

proxy_set_header Host $http_host;

proxy_set_header X-Real-IP $remote_addr;

proxy_pass http://localhost:8001/api/v1/namespaces/kubernetes-dashboard/services/https/proxy/;

}

}

# k8s.conf

[program:k8s-master]

command=kubectl proxy --accept-hosts=‘^*$’

user=vagrant

environment=KUBECONFIG=“/home/vagrant/.kube/config”

stopasgroup=true

stopasgroup=true

autostart=true

autorestart=unexpected

stdout_logfile_maxbytes=1MB

stdout_logfile_backups=10

stderr_logfile_maxbytes=1MB

stderr_logfile_backups=10

stderr_logfile=/var/log/supervisor/k8s-stderr.log

stdout_logfile=/var/log/supervisor/k8s-stdout.log

配置文件如下所示

# Copyright 2017 The Kubernetes Authors.## Licensed under the Apache License, Version 2.0 (the “License”);# you may not use this file except in compliance with the License.# You may obtain a copy of the License at## http://www.apache.org/licenses/LICENSE-2.0## Unless required by applicable law or agreed to in writing, software# distributed under the License is distributed on an “AS IS” BASIS,# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.# See the License for the specific language governing permissions and# limitations under the License.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:

ports:

- port: 443

targetPort: 8443

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-csrf

namespace: kubernetes-dashboardtype: Opaquedata:

csrf: “”---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”,

“https”,

“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:

containers:

- name: kubernetes-dashboard

image: registry.cn-shanghai.aliyuncs.com/jieee/dashboard:v2.0.4

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

annotations:

seccomp.security.alpha.kubernetes.io/pod: “runtime/default”

spec:

containers:

- name: dashboard-metrics-scraper

image: registry.cn-shanghai.aliyuncs.com/jieee/metrics-scraper:v1.0.4

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: {}

第一种:登录 dashboard 的方式(配置文件)

采用 token 方式

采用秘钥文件方式

Linux

# 创建管理员帐户(dashboard)

$ cat 《《EOF | kubectl apply -f -

apiVersion: v1

kind: ServiceAccount

metadata:

name: admin-user

namespace: kubernetes-dashboard

EOF

# 将用户绑定已经存在的集群管理员角色

$ cat 《《EOF | kubectl apply -f -

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

EOF

# 获取可用户于访问的token令牌

$ kubectl -n kubernetes-dashboard describe secret

$(kubectl -n kubernetes-dashboard get secret

| grep admin-user | awk ‘{print $1}’)

登录界面展示

针对 Chrome 浏览器,在空白处点击然后输入:thisisunsafe

针对 Firefox 浏览器,遇到证书过期,添加例外访问

第二种:授权 dashboard 权限(不适用配置文件)

如果登录之后提示权限问题的话,可以执行如下操作

把 serviceaccount 绑定在 clusteradmin

授权 serviceaccount 用户具有整个集群的访问管理权限

# 创建serviceaccount

$ kubectl create serviceaccount dashboard-admin -n kube-system

# 把serviceaccount绑定在clusteradmin# 授权serviceaccount用户具有整个集群的访问管理权限

$ kubectl create clusterrolebinding

dashboard-cluster-admin --clusterrole=cluster-admin

--serviceaccount=kube-system:dashboard-admin

# 获取serviceaccount的secret信息,可得到token令牌的信息

$ kubectl get secret -n kube-system

# 通过上边命令获取到dashboard-admin-token-slfcr信息

$ kubectl describe secret 《dashboard-admin-token-slfcr》 -n kube-system

# 浏览器访问登录并把token粘贴进去登录即可

https://192.168.30.30:8080/

# 快捷查看token的命令

$ kubectl describe secrets -n kube-system

$(kubectl -n kube-system get secret | awk ‘/admin/{print $1}’)

转载:Escape 的博客

原文:https://tinyurl.com/y5cp67a3,
编辑:jq

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