Kubernetes学习笔记7

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使用kubeadm部署Kubernetes集群方法

使用kubernetes部署单节点Master节点K8s集群。

在实际生产环境中，是不允许单master节点的，如果单master节点不可用的话，当导致我们的K8s集群无法访问。

可以使用kubeadm将单master节点升级为多master节点。

主机要求：

实际生产中，适当提高硬件配置。

硬件：

主机名 操作系统 CPU Mem 角色要求
master1 CentOS7.9 2 2G master
work1 CentOS7.9 2 2G worker
work2 CentOS7.9 2 2G worker

主机准备：

所有主机都要配置。

1、准备主机操作系统

主机操作系统 硬件配置 硬盘分区 IP
CentOS最小化 2C 2G 100G /boot / 192.168.17.146
CentOS最小化 2C 2G 100G /boot / 192.168.17.147
CentOS最小化 2C 2G 100G /boot / 192.168.17.148

说明：硬盘分区不建议有swap分区的。我们可以使用一些配置方法手动将swap分区关闭掉。

那么至此，我们的三台服务器已经创建完毕。

首先，我正常还是要使用命令yum update -y将系统软件版本进行升级。

2、主机配置

1）设置主机名：

[root@localhost ~]# hostnamectl set-hostname master1

主机名列表：

IP地址 主机名
192.168.17.146 master1
192.168.17.147 worker1
192.168.17.148 worker2

2）设置主机的IP地址：

IP地址段根据自己主机实际情况进行配置。

需要留心下网关的配置。

[root@master1 ~]# cat /etc/sysconfig/network-scripts/ifcfg-ens33
TYPE="Ethernet"
PROXY_METHOD="none"
BROWSER_ONLY="no"
BOOTPROTO="static"
DEFROUTE="yes"
IPV4_FAILURE_FATAL="no"
IPV6INIT="yes"
IPV6_AUTOCONF="yes"
IPV6_DEFROUTE="yes"
IPV6_FAILURE_FATAL="no"
IPV6_ADDR_GEN_MODE="stable-privacy"
NAME="ens33"
UUID="078d9de3-3968-4e57-866f-d481563b1c4d"
DEVICE="ens33"
ONBOOT="yes"
IPADDR=192.168.17.143
NETMASK=255.255.255.0
GATEWAY=192.168.17.2
DNS1=192.168.17.2

3）主机名称解析配置：

[root@worker1 ~]# cat /etc/hosts
127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
::1         localhost localhost.localdomain localhost6 localhost6.localdomain6
192.168.17.143 master1
192.168.17.144 worker1
192.168.17.145 worker2

4）主机安全配置：

systemctl stop firewalld && systemctl disable firewalld

检查：

systemctl status firewalld

# 或者
firewall-cmd --state

5）SELINUX配置：

sed -i 's/SELINUX=enforcing/SELINUX=disabled/g' /etc/selinux/config

reboot

注意：作出修改之后，要重启系统才能生效。

6）主机时间同步的设置：

由于系统是最小化安装，需要单独安装ntpdate。

[root@master1 ~]# yum install -y ntpdate


[root@master1 ~]# crontab -l
0 */1 * * * ntpdate time1.aliyun.com

如果发现时间还不对，可以使用systemctl restart ntpdate，然后再检查下date时间。 

7）永久关闭swap分区：

使用kubeadm部署必须要关闭swap分区，修改配置文件之后，要重新启动操作系统。

[root@master1 ~]# vim /etc/fstab

#
# /etc/fstab
# Created by anaconda on Wed Apr  3 13:02:24 2024
#
# Accessible filesystems, by reference, are maintained under '/dev/disk'
# See man pages fstab(5), findfs(8), mount(8) and/or blkid(8) for more info
#
/dev/mapper/centos-root /                       xfs     defaults        0 0
UUID=7e8e7e32-e739-4269-973e-9618390cf631 /boot                   xfs     defaults        0 0
/dev/mapper/centos-home /home                   xfs     defaults        0 0
#/dev/mapper/centos-swap swap                    swap    defaults        0 0

reboot重新启动系统之后，然后使用free -h命令进行测试：

[root@worker2 ~]# free -h
              total        used        free      shared  buff/cache   available
Mem:           1.9G        171M        1.7G        9.5M         92M        1.6G
Swap:            0B          0B          0B

这样表明swap分区是关闭的。

8）添加网桥过滤及地址转发：

目的是为了内核的过滤。

添加网桥过滤及地址转发：
[root@worker2 ~]# cat /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
vm.swappiness = 0

#加载br_netfilter模块
[root@master1 ~]# modprobe br_netfilter

# 检查是否加载
[root@master1 ~]# lsmod |grep br_netfilter
br_netfilter           22256  0
bridge                151336  1 br_netfilter

#加载网桥过滤及地址转发配置文件：
[root@master1 ~]# sysctl -p /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
vm.swappiness = 0

9）开启ipvs：

[root@master1 ~]# yum install -y ipset ipvsadm

在所有节点下如下脚本：

添加需要加载的模块：

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_ipv4
EOF

在所有节点下都要执行该脚本。

# 授权、运行、检查是否加载
chmod 755 /etc/sysconfig/modules/ipvs.modules && sh /etc/sysconfig/modules/ipvs.modules

检查是否加载：

#检查是否加载
lsmod | grep -e ip_vs -e nf_conntrack_ipv4

10）在所有点击安装指定版本的docker-ce：K8s集群不能直接管理容器。K8s最小的管理单元室pod，pod中包含容器。

YUM源获取：

建议使用清华镜像源，官方提供的镜像源由于网络速度的原因下载较慢。

yum install -y wget
wget -O /etc/yum.repos.d/docker-ce.repo https://mirrors.tuna.tsinghua.edu.cn/docker-ce/linux/centos/docker-ce.repo

查看docker版本:

对版本进行排序：

yum list docker-ce.x86_64 --showduplicates | sort -r

安装指定版本的docker-ce

安装指定版本的docker-ce，此版本不需要修改服务启动文件及iptables默认规则链策略。

yum -y install --setopt=obsoletes=0 docker-ce-18.06.3.ce-3.el7

启动docker容器并设置开机自启动：

systemctl enable docker
systemctl start docker

查看docker版本：

[root@master1 ~]# docker version
Client:
 Version:           18.06.3-ce
 API version:       1.38
 Go version:        go1.10.3
 Git commit:        d7080c1
 Built:             Wed Feb 20 02:26:51 2019
 OS/Arch:           linux/amd64
 Experimental:      false

Server:
 Engine:
  Version:          18.06.3-ce
  API version:      1.38 (minimum version 1.12)
  Go version:       go1.10.3
  Git commit:       d7080c1
  Built:            Wed Feb 20 02:28:17 2019
  OS/Arch:          linux/amd64
  Experimental:     false

表示我们的服务已经启动了。

修改docker-ce服务配置文件：

修改目的是为了后续使用/etc/docker/daemon.json来进行更多的配置，第三方配置。

vim /usr/lib/systemd/system/docker.service

# 如果原文件此行后面有-H选项，请删除-H（含）后面所有的内容。

# 注意，有些版本不需要修改。

在/etc/docker/daemon.json添加如下内容：

[root@master1 ~]# cat /etc/docker/daemon.json
{
        "exec-opts": ["native.cgroupdriver=systemd"]
}

# 重启docker

systemctl restart docker

然后再检查docker状态：

[root@master1 ~]# systemctl status docker
● docker.service - Docker Application Container Engine
   Loaded: loaded (/usr/lib/systemd/system/docker.service; enabled; vendor preset: disabled)
   Active: active (running) since Thu 2024-04-04 11:32:43 CST; 1min 2s ago
     Docs: https://docs.docker.com
 Main PID: 1495 (dockerd)
    Tasks: 21
   Memory: 45.7M
   CGroup: /system.slice/docker.service
           ├─1495 /usr/bin/dockerd
           └─1502 docker-containerd --config /var/run/docker/containerd/containerd.toml

Apr 04 11:32:43 master1 dockerd[1495]: time="2024-04-04T11:32:43.188383667+08:00" lev...rpc
Apr 04 11:32:43 master1 dockerd[1495]: time="2024-04-04T11:32:43.188492884+08:00" lev...rpc
Apr 04 11:32:43 master1 dockerd[1495]: time="2024-04-04T11:32:43.188508734+08:00" lev...t."
Apr 04 11:32:43 master1 dockerd[1495]: time="2024-04-04T11:32:43.299557079+08:00" lev...ss"
Apr 04 11:32:43 master1 dockerd[1495]: time="2024-04-04T11:32:43.340925297+08:00" lev...e."
Apr 04 11:32:43 master1 dockerd[1495]: time="2024-04-04T11:32:43.354816602+08:00" lev...-ce
Apr 04 11:32:43 master1 dockerd[1495]: time="2024-04-04T11:32:43.354876867+08:00" lev...on"
Apr 04 11:32:43 master1 dockerd[1495]: time="2024-04-04T11:32:43.356262130+08:00" lev...TH"
Apr 04 11:32:43 master1 systemd[1]: Started Docker Application Container Engine.
Apr 04 11:32:43 master1 dockerd[1495]: time="2024-04-04T11:32:43.367406470+08:00" lev...ck"
Hint: Some lines were ellipsized, use -l to show in full.

11）部署软件及配置：

软件安装：

所有K8s集群节点均需要安装，默认yum源是谷歌，可以使用阿里云yum。

需求 kubeadm kubelet kubectl docker-ce
值 初始化集群、管理集群等，版本是1.17.2 用于接收api-service指令，对pod生命周期进行管理，版本：1.17.2 集群命令行管理工具 18.06.03

谷歌yum源：

[kubernetes]
name=Kubernetes
baseurl=https://packages.cloud.google.com/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=1
repo_gpgcheck=1
gpgkey=https://packages.cloud.google.com/yum/doc/yum-key.gpg
       https://packages.cloud.google.com/yum/doc/rpm-package-key.gpg

阿里云yum源：

[kubernetes]
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
enabled=1
gpgcheck=1
repo_gpgcheck=1
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg  
       https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg

我们直接使用国内的阿里云yum：

[root@master1 ~]# cat /etc/yum.repos.d/k8s.repo
[kubernetes]
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
enabled=1
gpgcheck=1
repo_gpgcheck=1
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg 
       https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg

验证yum源是否可用：

需要导入GPG的一个key，需要我们输入y回车。

使用scp命令将repo源文件拷贝到另外两台worker节点中。

[root@master1 ~]# scp /etc/yum.repos.d/k8s.repo worker1:/etc/yum.repos.d/
The authenticity of host 'worker1 (192.168.17.144)' can't be established.
ECDSA key fingerprint is SHA256:f/MFBN/WiZnpUl+rIfKxIHOgkYpBXjQh3JJKUvYNRoU.
ECDSA key fingerprint is MD5:1b:37:ec:89:38:8d:2b:4a:ac:b3:cd:fd:53:4d:43:9a.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'worker1,192.168.17.144' (ECDSA) to the list of known hosts.
root@worker1's password:
k8s.repo                                                 100%  283   263.3KB/s   00:00
[root@master1 ~]#
[root@master1 ~]#
[root@master1 ~]# scp /etc/yum.repos.d/k8s.repo worker2:/etc/yum.repos.d/
The authenticity of host 'worker2 (192.168.17.145)' can't be established.
ECDSA key fingerprint is SHA256:CfwdKiDN/tMcXxZGjhRcWqhccWC1+3ziWoZru0AvRls.
ECDSA key fingerprint is MD5:53:fa:ec:02:8d:e7:2b:7c:a9:0c:88:fe:51:4d:52:93.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'worker2,192.168.17.145' (ECDSA) to the list of known hosts.
root@worker2's password:
k8s.repo                                                 100%  283   285.6KB/s   00:00

然后还需要做下相关的验证：

yum list |grep kubeadm

输入y。

安装指定版本kubeadm、kubelet、kubectl

yum list kubeadm.x86_64 --showduplicates | sort -r

我们先安装1.21.10这个版本。暂时不安装最新版本。 

yum install -y --setopt=obsolutes=0 kubeadm-1.21.10-0 kubelet-1.21.10-0 kubectl-1.21.10-0

软件设置：

主要是配置kubelet，如果不配置可能会导致k8s集群无法启动。

为了实现docker使用的cgroupdriver与kubelet使用的cgroup的一致性，建议修改如下文件内容。

[root@master1 ~]# cat /etc/sysconfig/kubelet
KUBELET_CGROUP_ARGS="--cgroup-driver=systemd"
KUBE_PROXY_MODE="ipvs"

设置开机自启动即可，由于没有生成配置文件，集群初始化后自动启动。

systemctl enable kubelet

12）k8s集群容器镜像准备。

由于使用kubeadm部署集群，集群所有核心组件均以pod运行，需要为主机准备镜像，不同角色主机准备不同的镜像。

a）查看集群使用的容器镜像：

[root@master1 ~]# kubeadm config images list
I0406 10:28:44.861177   10103 version.go:254] remote version is much newer: v1.29.3; falling back to: stable-1.21
k8s.gcr.io/kube-apiserver:v1.21.14
k8s.gcr.io/kube-controller-manager:v1.21.14
k8s.gcr.io/kube-scheduler:v1.21.14
k8s.gcr.io/kube-proxy:v1.21.14
k8s.gcr.io/pause:3.4.1
k8s.gcr.io/etcd:3.4.13-0
k8s.gcr.io/coredns/coredns:v1.8.0

编写镜像下载的脚本：

[root@master1 ~]# cat img_list.sh
images=(kube-apiserver:v1.21.14
kube-controller-manager:v1.21.14
kube-scheduler:v1.21.14
kube-proxy:v1.21.14
pause:3.4.1
etcd:3.4.13-0
coredns:v1.8.0)

for imageName in ${images[@]} ; do
  docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/$imageName
  docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/$imageName k8s.gcr.io/$imageName
  docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/$imageName
done



docker tag k8s.gcr.io/coredns:v1.8.0 k8s.gcr.io/coredns/coredns:v1.8.0

docker images命令执行后，看到如下信息，则说明跟官网一致了。

[root@master1 ~]# docker images
REPOSITORY                           TAG        IMAGE ID       CREATED         SIZE
k8s.gcr.io/kube-apiserver            v1.21.14   e58b890e4ab4   22 months ago   126MB
k8s.gcr.io/kube-controller-manager   v1.21.14   454f3565bb8a   22 months ago   120MB
k8s.gcr.io/kube-proxy                v1.21.14   93283b563d47   22 months ago   104MB
k8s.gcr.io/kube-scheduler            v1.21.14   f1e56fded161   22 months ago   50.9MB
k8s.gcr.io/pause                     3.4.1      0f8457a4c2ec   3 years ago     683kB
k8s.gcr.io/coredns/coredns           v1.8.0     296a6d5035e2   3 years ago     42.5MB
k8s.gcr.io/coredns                   v1.8.0     296a6d5035e2   3 years ago     42.5MB
k8s.gcr.io/etcd                      3.4.13-0   0369cf4303ff   3 years ago     253MB
                80d28bedfe5d        4 years ago         683kB

13）K8s集群初始化：

在master节点上操作：

kubeadm init --kubernetes-version=v1.21.14 --pod-network-cidr=10.244.0.0/16 --service-cidr=10.96.0.0/12 --apiserver-advertise-address=192.168.17.146

初始化过程导出的结果，显示如下的信息，表示初始化成功。 

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/

Then you can join any number of worker nodes by running the following on each as root:

kubeadm join 192.168.17.146:6443 --token 0ljrkg.l71go4bdbuhlwqxy \
        --discovery-token-ca-cert-hash sha256:e9a0eff32b9727f7898a5ddcf0552648dd2ded44d8c9280c8317378abb18a9ee

如果初始化的过程中出现失败的情况，需要做一些重置工作，采用的方法如下：

Master节点操作：
kubeadm reset   #需要交互

iptables -F && iptables -t nat -F && iptables -t mangle -F && iptables -X
systemctl restart docker
rm -rf /var/lib/cni/
rm -f $HOME/.kube/config
rm -rf /etc/kubernetes/manifests/kube-apiserver.yaml /etc/kubernetes/manifests/kube-controller-manager.yaml /etc/kubernetes/manifests/kube-scheduler.yaml /etc/kubernetes/manifests/etcd.yaml /etc/kubernetes/admin.conf /etc/kubernetes/kubelet.conf /var/lib/etcd/*

systemctl stop kubelet

#for line in `docker container ls -a |grep -v CONTAINER |awk '{print $1}'`; do docker stop $line; docker rm -f $line; done

然后再执行正确的kubeadm init的操作。

14）根据回显信息执行如下命令：

[root@master1 ~]# mkdir .kube
[root@master1 ~]# cp -i /etc/kubernetes/admin.conf ./.kube/config
[root@master1 ~]# chown $(id -u):$(id -g) $HOME/.kube/config

根据提示，如果是root用户，需要再执行如下命令：

export KUBECONFIG=/etc/kubernetes/admin.conf

15）此时在主节点可以查看当前集群中的节点信息，如下，此时只有master节点：

[root@master1 ~]# kubectl get nodes
NAME      STATUS     ROLES                  AGE   VERSION
master1   NotReady   control-plane,master   17m   v1.21.10

然后还是根数上述回显提示，分别将如下命令（注意此命令同样也是从上述回显中拷贝）在另外两个worker节点上执行：

[root@worker1 ~]# kubeadm join 192.168.17.146:6443 --token 0ljrkg.l71go4bdbuhlwqxy \
>         --discovery-token-ca-cert-hash sha256:e9a0eff32b9727f7898a5ddcf0552648dd2ded44d8c9280c8317378abb18a9ee
[preflight] Running pre-flight checks
[preflight] Reading configuration from the cluster...
[preflight] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -o yaml'
[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[kubelet-start] Starting the kubelet
[kubelet-start] Waiting for the kubelet to perform the TLS Bootstrap...

This node has joined the cluster:
* Certificate signing request was sent to apiserver and a response was received.
* The Kubelet was informed of the new secure connection details.

Run 'kubectl get nodes' on the control-plane to see this node join the cluster.

16）然后回到master节点继续查询此时的节点信息，如下，此时已经有两个节点了：

[root@master1 ~]# kubectl get nodes
NAME      STATUS     ROLES                  AGE   VERSION
master1   NotReady   control-plane,master   19m   v1.21.10
worker1   NotReady   <none>                 57s   v1.21.10
worker2   NotReady   <none>                 52s   v1.21.10

17）如何在worker节点执行kubectl命令：

如果想在worker节点行执行kubectl命令，需要将master节点的 $Home/.kube 文件拷贝到worker节点的home目录下，执行如下命令进行配置文件的拷贝：

[root@master1 ~]# scp -r ~/.kube worker1:~/

[root@master1 ~]# scp -r ~/.kube worker2:~/

这样，就可以在worker节点上使用kubectl命令了。

[root@worker1 ~]# kubectl get nodes
NAME      STATUS     ROLES                  AGE     VERSION
master1   NotReady   control-plane,master   23m     v1.21.10
worker1   NotReady   <none>                 4m51s   v1.21.10
worker2   NotReady   <none>                 4m46s   v1.21.10

18）安装网络插件：

这段操作好像有问题，我还是使用了calico的网络插件方法。

这个操作只要在master上操作即可。

下载yml文件并使用该文件执行。

[root@master1 ~]# wget  https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
--2024-04-06 10:46:48--  https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.109.133, 185.199.110.133, 185.199.111.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.109.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 4345 (4.2K) [text/plain]
Saving to: ‘kube-flannel.yml’

100%[=================================================>] 4,345        237B/s   in 18s

2024-04-06 10:47:12 (237 B/s) - ‘kube-flannel.yml’ saved [4345/4345]

[root@master1 ~]# kubectl apply -f kube-flannel.yml
namespace/kube-flannel created
clusterrole.rbac.authorization.k8s.io/flannel created
clusterrolebinding.rbac.authorization.k8s.io/flannel created
serviceaccount/flannel created
configmap/kube-flannel-cfg created
daemonset.apps/kube-flannel-ds created

calico网络插件的安装方法：

[root@master1 ~]# curl https://docs.projectcalico.org/archive/v3.20/manifests/calico.yaml -O
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100  198k  100  198k    0     0  59987      0  0:00:03  0:00:03 --:--:-- 60007
[root@master1 ~]# kubectl apply -f calico.yaml
configmap/calico-config created
customresourcedefinition.apiextensions.k8s.io/bgpconfigurations.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/bgppeers.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/blockaffinities.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/clusterinformations.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/felixconfigurations.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/globalnetworkpolicies.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/globalnetworksets.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/hostendpoints.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/ipamblocks.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/ipamconfigs.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/ipamhandles.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/ippools.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/kubecontrollersconfigurations.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/networkpolicies.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/networksets.crd.projectcalico.org created
clusterrole.rbac.authorization.k8s.io/calico-kube-controllers created
clusterrolebinding.rbac.authorization.k8s.io/calico-kube-controllers created
clusterrole.rbac.authorization.k8s.io/calico-node created
clusterrolebinding.rbac.authorization.k8s.io/calico-node created
daemonset.apps/calico-node created
serviceaccount/calico-node created
deployment.apps/calico-kube-controllers created
serviceaccount/calico-kube-controllers created
Warning: policy/v1beta1 PodDisruptionBudget is deprecated in v1.21+, unavailable in v1.25+; use policy/v1 PodDisruptionBudget
poddisruptionbudget.policy/calico-kube-controllers created
[root@master1 ~]#
[root@master1 ~]#
[root@master1 ~]#
[root@master1 ~]# kubectl get pod -A
NAMESPACE      NAME                                       READY   STATUS              RESTARTS   AGE
default        nginx-65c4bffcb6-gd9z6                     1/1     Running             0          20m
kube-flannel   kube-flannel-ds-dvjnd                      1/1     Running             0          37m
kube-flannel   kube-flannel-ds-gxl4h                      1/1     Running             0          37m
kube-flannel   kube-flannel-ds-jvdzc                      1/1     Running             0          37m
kube-system    calico-kube-controllers-594649bd75-xjbgr   0/1     ContainerCreating   0          20s
kube-system    calico-node-6lz45                          0/1     Init:0/3            0          20s
kube-system    calico-node-fdprn                          0/1     Init:0/3            0          20s
kube-system    calico-node-szs6x                          0/1     Init:0/3            0          20s
kube-system    coredns-558bd4d5db-fmrpg                   1/1     Running             0          64m
kube-system    coredns-558bd4d5db-fnxdn                   1/1     Running             0          64m
kube-system    etcd-master1                               1/1     Running             1          64m
kube-system    kube-apiserver-master1                     1/1     Running             1          64m
kube-system    kube-controller-manager-master1            1/1     Running             1          64m
kube-system    kube-proxy-rz26h                           1/1     Running             0          45m
kube-system    kube-proxy-spf9t                           1/1     Running             1          45m
kube-system    kube-proxy-x4fq5                           1/1     Running             0          64m
kube-system    kube-scheduler-master1                     1/1     Running             1          64m

稍等一会，再次在master节点上查询节点状态，如下status为Ready表示此时已经OK了。

[root@master1 ~]# kubectl get nodes
NAME      STATUS   ROLES                  AGE   VERSION
master1   Ready    control-plane,master   68m   v1.21.10
worker1   Ready    <none>                 48m   v1.21.10
worker2   Ready    <none>                 48m   v1.21.10

19）所有在node上的pod必须是Running状态，否则节点的安装就是失败的。

[root@master1 ~]# kubectl get pod -n kube-system -o wide
NAME                                       READY   STATUS             RESTARTS   AGE     IP               NODE      NOMINATED NODE   READINESS GATES
calico-kube-controllers-594649bd75-xjbgr   0/1     ImagePullBackOff   0          3m49s   10.244.2.2       worker2   <none>           <none>
calico-node-6lz45                          0/1     PodInitializing    0          3m49s   192.168.17.148   worker2   <none>           <none>
calico-node-fdprn                          1/1     Running            0          3m49s   192.168.17.146   master1   <none>           <none>
calico-node-szs6x                          0/1     PodInitializing    0          3m49s   192.168.17.147   worker1   <none>           <none>
coredns-558bd4d5db-fmrpg                   1/1     Running            0          68m     10.244.1.3       worker1   <none>           <none>
coredns-558bd4d5db-fnxdn                   1/1     Running            0          68m     10.244.1.2       worker1   <none>           <none>
etcd-master1                               1/1     Running            1          68m     192.168.17.146   master1   <none>           <none>
kube-apiserver-master1                     1/1     Running            1          68m     192.168.17.146   master1   <none>           <none>
kube-controller-manager-master1            1/1     Running            1          68m     192.168.17.146   master1   <none>           <none>
kube-proxy-rz26h                           1/1     Running            0          49m     192.168.17.147   worker1   <none>           <none>
kube-proxy-spf9t                           1/1     Running            1          49m     192.168.17.148   worker2   <none>           <none>
kube-proxy-x4fq5                           1/1     Running            0          68m     192.168.17.146   master1   <none>           <none>
kube-scheduler-master1                     1/1     Running            1          68m     192.168.17.146   master1   <none>           <none>

20）部署Nginx服务测试集群是否部署成功。

1）部署Nginx：

在master节点执行如下命令部署Nginx：

[root@master1 ~]# kubectl create deployment nginx --image=nginx:1.14-alpine
deployment.apps/nginx created

2）暴露端口：

[root@master1 ~]# kubectl expose deployment nginx --port=80 --type=NodePort
service/nginx exposed

3）查看服务状态：

[root@master1 ~]# kubectl get pods
NAME                     READY   STATUS    RESTARTS   AGE
nginx-65c4bffcb6-gd9z6   1/1     Running   0          6m13s
[root@master1 ~]#
[root@master1 ~]# kubectl get service
NAME         TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)        AGE
kubernetes   ClusterIP   10.96.0.1      <none>        443/TCP        50m
nginx        NodePort    10.101.138.1   <none>        80:30831/TCP   5m32s

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