3 k8s 环境配置

3.1 基础环境准备

所有机器执行

#各个机器设置自己的域名 我的设置为 hostnamectl set-hostname ks8-master、hostnamectl set-hostname ks8-node1、hostnamectl set-hostname ks8-node2
hostnamectl set-hostname xxxx # 将 SELinux 设置为 permissive 模式(相当于将其禁用)
sudo setenforce 0
sudo sed -i 's/^SELINUX=enforcing$/SELINUX=permissive/' /etc/selinux/config #关闭swap
swapoff -a
sed -ri 's/.*swap.*/#&/' /etc/fstab #允许 iptables 检查桥接流量
cat <<EOF | sudo tee /etc/modules-load.d/k8s.conf
br_netfilter
EOF cat <<EOF | sudo tee /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
sudo sysctl --system

3.2 安装kubelet、kubeadm、kubectl

所有机器执行

cat <<EOF | sudo tee /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=http://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=0
repo_gpgcheck=0
gpgkey=http://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg
http://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
exclude=kubelet kubeadm kubectl
EOF sudo yum install -y kubelet-1.20.9 kubeadm-1.20.9 kubectl-1.20.9 --disableexcludes=kubernetes sudo systemctl enable --now kubelet

kubelet 现在每隔几秒就会重启,因为它陷入了一个等待 kubeadm 指令的死循环

4 使用kubeadm引导集群

4.1 下载各个机器需要的镜像

所有机器执行

sudo tee ./images.sh <<-'EOF'
#!/bin/bash
images=(
kube-apiserver:v1.20.9
kube-proxy:v1.20.9
kube-controller-manager:v1.20.9
kube-scheduler:v1.20.9
coredns:1.7.0
etcd:3.4.13-0
pause:3.2
)
for imageName in ${images[@]} ; do
docker pull registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images/$imageName
done
EOF chmod +x ./images.sh && ./images.sh

4.2 所有机器添加master域名映射,192.168.x.x需要改为自己的master机器ip

所有机器都执行

echo "192.168.x.x  cluster-endpoint" >> /etc/hosts

4.3 初始化主节点

只有master才执行,192.168.x.x 修改为自己的master机器ip

#主节点初始化
kubeadm init \
--apiserver-advertise-address=192.168.x.x \
--control-plane-endpoint=cluster-endpoint \
--image-repository registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images \
--kubernetes-version v1.20.9 \
--service-cidr=10.96.0.0/16 \
--pod-network-cidr=192.168.0.0/16

执行后,等待一段时间会输出信息,将输出的信息先保存,以下是用例,实际使用自己的

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 control-plane nodes by copying certificate authorities
and service account keys on each node and then running the following as root: kubeadm join cluster-endpoint:6443 --token hums8f.vyx71prsg74ofce7 \
--discovery-token-ca-cert-hash sha256:a394d059dd51d68bb007a532a037d0a477131480ae95f75840c461e85e2c6ae3 \
--control-plane Then you can join any number of worker nodes by running the following on each as root: kubeadm join cluster-endpoint:6443 --token hums8f.vyx71prsg74ofce7 \
--discovery-token-ca-cert-hash sha256:a394d059dd51d68bb007a532a037d0a477131480ae95f75840c461e85e2c6ae3

4.4 当前可以使用的命令

#查看集群所有节点
kubectl get nodes #查看集群部署了哪些应用?
kubectl get pods -A

4.5 根据提示新建文件夹

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

4.6 安装网络组件

curl https://docs.projectcalico.org/archive/v3.21/manifests/calico.yaml -O
kubectl apply -f calico.yaml

4.7 加入node节点

其他两台node服务器,执行红方框处的命令,记得使用自己的

kubeadm join cluster-endpoint:6443 --token x5g4uy.wpjjdbgra92s25pp \
--discovery-token-ca-cert-hash sha256:6255797916eaee52bf9dda9429db616fcd828436708345a308f4b917d3457a22

因为令牌有有效期,一般24h有效,过期后,如果想新加node,可以使用以下命令

kubeadm token create --print-join-command

4.8 查看pod状态

kubectl get pod -A

当所有的服务ready好后,进行下一步操作,如果网络慢的问题,需要等待时间较久,耐心等待

5 验证集群状态

 kubectl get nodes

6 部署dashboard

全部在master上操作

6.1 部署

6.1.1 下载recommended.yaml文件

curl -O https://raw.githubusercontent.com/kubernetes/dashboard/v2.3.1/aio/deploy/recommended.yaml

6.1.2 修改recommended.yaml文件

vi recommended.yaml

修改的地方和内容

nodeName: k8s-master

以下是修改好的,可以直接使用

# 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: 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:
ports:
- port: 443
targetPort: 8443
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-csrf
namespace: kubernetes-dashboard
type: Opaque
data:
csrf: "" --- 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:
nodeName: k8s-master
containers:
- name: kubernetes-dashboard
image: kubernetesui/dashboard:v2.3.1
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
annotations:
seccomp.security.alpha.kubernetes.io/pod: 'runtime/default'
spec:
nodeName: k8s-master
containers:
- name: dashboard-metrics-scraper
image: kubernetesui/metrics-scraper:v1.0.6
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: {}

6.1.3 执行部署

kubectl apply -f recommended.yaml

如果使用 kubectl get pod -A 查看多了两个服务,状态是ready状态,进行后续操作

6.2 设置访问端口

## 6.2.1 设置

kubectl edit svc kubernetes-dashboard -n kubernetes-dashboard

type: ClusterIP 改为 type: NodePort

6.2.2 查看端口

kubectl get svc -A |grep kubernetes-dashboard

6.2.3 访问

https://集群任意IP:端口

注意:

如果出现如下提示,请先在当前页面,用鼠标点击空白处,然后用键盘输入 thisisunsafe 即可,一定要有完整的thisisunsafe,输错了重新输入即可



输入后即可访问

6.3 创建访问账号

6.3.1 创建访问账号,准备一个yaml文件; vi dash.yaml

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

6.3.2 执行创建命令

kubectl apply -f dash.yaml

6.4 获取令牌

kubectl -n kubernetes-dashboard get secret $(kubectl -n kubernetes-dashboard get sa/admin-user -o jsonpath="{.secrets[0].name}") -o go-template="{{.data.token | base64decode}} " | awk '{print $1}'

6.5 界面

填入token,即可登录成功

2、k8s 基础环境安装的更多相关文章

  1. k8s基础环境配置:基于CentOS7.9

    k8s基础环境配置:基于CentOS7.9 wmware15安装centos7.9:https://www.cnblogs.com/uncleyong/p/15261742.html 1.配置静态ip ...

  2. 【SpringCloud之pigx框架学习之路 】1.基础环境安装

    [SpringCloud之pigx框架学习之路 ]1.基础环境安装 [SpringCloud之pigx框架学习之路 ]2.部署环境 1.Cmder.exe安装 (1) windows常用命令行工具 下 ...

  3. ELK-6.5.3学习笔记–elk基础环境安装

    本文预计阅读时间 13 分钟 文章目录[隐藏] 1,准备工作. 2,安装elasticsearch. 3,安装logstash. 4,安装kibana 以往都是纸上谈兵,毕竟事情也都由部门其他小伙伴承 ...

  4. CentOS 8.2 对k8s基础环境配置

    一.基础环境配置 1 IP 修改 机器克隆后 IP 修改,使Xshell连接上 [root@localhost ~]# vi /etc/sysconfig/network-scripts/ifcfg- ...

  5. Docker容器学习梳理 - 基础环境安装

    以下是centos系统安装docker的操作记录 1)第一种方法:采用系统自带的docker安装,但是这一般都不是最新版的docker安装epel源[root@docker-server ~]# wg ...

  6. k8s基础环境搭建

    环境准备 服务器之间时间同步 1. 关闭防火墙 systemctl stop firewalld setenforce 0 2. 设置yum源   三台机器都要设置一个master两个node节点 下 ...

  7. Linux下部署docker记录(0)-基础环境安装

    以下是centos系统安装docker的操作记录 1)第一种方法:采用系统自带的docker安装,但是这一般都不是最新版的docker安装epel源[root@docker-server ~]# wg ...

  8. Linux系统最小化安装之后的系统基础环境安装以及内核优化脚本

    #!/bin/bash #添加epel和rpmforge的外部yum扩展源 cd /usr/local/src wget http://mirrors.ustc.edu.cn/fedora/epel/ ...

  9. ansible playbook实践(一)-基础环境安装

    1 介绍 Ansible 是一个系统自动化工具,用来做系统配管理,批量对远程主机执行操作指令. 2 实验环境 ip 角色 192.168.40.71 ansible管控端 192.168.40.72 ...

  10. 离线安装Cloudera Manager 5和CDH5(最新版5.9.3) 完全教程(二)基础环境安装

    一.安装CentOS 6.5 x64 具体安装过程自行百度 1.1 修改IP地址 [root@master ~]# vi /etc/sysconfig/network DEVICE=eth0 TYPE ...

随机推荐

  1. djiango路由匹配、djiango路由层、反向解析、有名无名反向解析

    djiango路由匹配.djiango路由层.反向解析.有名无名反向解析 一.作业讲解(数据的增删改查) urls代码 from django.contrib import admin from dj ...

  2. Java自动装箱与拆箱

    装箱就是自动将基本数据类型转换为包装器类型(int-->Integer).调用方法:Integer的 valueOf(int) 方法 拆箱就是自动将包装器类型转换为基本数据类型(Integer- ...

  3. 系列化和反序列化的概述-对象的序列化_Object Output Stream类

    系列化和反序列化的概述 Java提供了一种对象序列化的机制.用一个字节序列可以表示一个对象,该字节序列包含该对象的数据对象的类型和对象中存储的属性等信息.字节序列写出到文件之后,相当于文件中持久保存了 ...

  4. Python读取大量Excel文件并跨文件批量计算平均值

      本文介绍基于Python语言,实现对多个不同Excel文件进行数据读取与平均值计算的方法.   首先,让我们来看一下具体需求:目前有一个文件夹,其中存放了大量Excel文件:文件名称是每一位同学的 ...

  5. day01-SpringMVC基本介绍-01

    SpringMVC介绍-01 1.离线文档 解压 spring-5.3.8-dist.zip文件. 位置:spring-framework-5.3.8/docs/reference/html/web. ...

  6. 定时调度插件------Quartz.NET(一)

    官网地址 https://www.quartz-scheduler.net/ 使用说明 dll引用 使用NuGet 搜索Quartz,作者为Marko Lahma, Quartz.NET为该插件 目前 ...

  7. 云服务器安装Mysql之后,设置可以进行远程连接,Duplicaticate wntry '%-root' for key 'PRIMARY

    云服务器安装Mysql之后,设置可以进行远程连接 1.首先连接mysql mysql -u root -p 2.MySql5版本 GRANT ALL ON *.* TO root@'%' IDENTI ...

  8. Asp.Net Core中利用过滤器控制Nginx的缓存时间

    前言 Web项目中很多网页资源比如html.js.css通常会做服务器端的缓存,加快网页的加载速度 一些周期性变化的API数据也可以做缓存,例如广告资源位数据,菜单数据,商品类目数据,商品详情数据,商 ...

  9. 《Terraform 101 从入门到实践》 第五章 HCL语法

    <Terraform 101 从入门到实践>这本小册在南瓜慢说官方网站和GitHub两个地方同步更新,书中的示例代码也是放在GitHub上,方便大家参考查看. 介绍了Terraform一些 ...

  10. JAVA虚拟机05-内存溢出示例(jdk1.8)

    1.JAVA虚拟机堆内存溢出OutOfMemoryError 1.1设置参数 -Xms20m -Xmx20m -XX:+HeapDumpOnOutOfMemoryError 最小堆的大小20m 最大堆 ...