基于 KubeSphere 玩转 k8s 第二季｜KubeKey 扩容 Kubernetes Worker 节点实战
原创基于 KubeSphere 玩转 k8s 第二季｜KubeKey 扩容 Kubernetes Worker 节点实战
原创
运维有术
发布于 2023-07-16 10:54:51
发布于 2023-07-16 10:54:51
文章被收录于专栏：运维有术
大家好，欢迎来到运维有术
欢迎来到云原生运维实战系列之基于 KubeSphere 玩转 K8s 第二季
前言
导图
kubespher-node-add-mind
知识量
- 阅读时长：10 分
- 行：599
- 单词：4100+
- 字符：28100+
- 图片：2 张
知识点
- 定级：入门级
- KubeKey 扩容 Worker 节点
- openEuler 操作系统的基本配置
- Kubernets 基本命令
实战服务器配置(架构1:1复刻小规模生产环境，配置略有不同)
主机名 | IP | CPU | 内存 | 系统盘 | 数据盘 | 用途 |
|---|---|---|---|---|---|---|
ks-master-0 | 192.168.9.91 | 2 | 4 | 50 | 100 | KubeSphere/k8s-master |
ks-master-1 | 192.168.9.92 | 2 | 4 | 50 | 100 | KubeSphere/k8s-master |
ks-master-2 | 192.168.9.93 | 2 | 4 | 50 | 100 | KubeSphere/k8s-master |
ks-worker-0 | 192.168.9.95 | 2 | 4 | 50 | 100 | k8s-worker/CI |
ks-worker-1 | 192.168.9.96 | 2 | 4 | 50 | 100 | k8s-worker |
ks-worker-2 | 192.168.9.97 | 2 | 4 | 50 | 100 | k8s-worker |
storage-0 | 192.168.9.81 | 2 | 4 | 50 | 100+ | ElasticSearch/GlusterFS/Ceph/Longhorn/NFS/ |
storage-1 | 192.168.9.82 | 2 | 4 | 50 | 100+ | ElasticSearch/GlusterFS/Ceph/Longhorn |
storage-2 | 192.168.9.83 | 2 | 4 | 50 | 100+ | ElasticSearch/GlusterFS/Ceph/Longhorn |
registry | 192.168.9.80 | 2 | 4 | 50 | 200 | Sonatype Nexus 3 |
合计 | 10 | 20 | 40 | 500 | 1100+ |
实战环境涉及软件版本信息
- 操作系统：openEuler 22.03 LTS SP2 x86_64
- KubeSphere：3.3.2
- Kubernetes：v1.26.0
- Containerd：1.6.4
- KubeKey: v3.0.7
1. 本文简介
上一期，我们实战讲解了使用 KubeSphere 开发的 KubeKey 工具自动化部署 3 Master 和 1 Worker 的 Kubernetes 集群和 KubeSphere。
本期我们将模拟真实的生产环境演示如何使用 KubeKey 新增 Worker 节点到已有的 Kubernetes 集群 。
2. 操作系统基础配置
新增加的 Worker 节点，操作系统基础配置与初始化安装部署时 Worker 节点的配置保持一致。
其他节点配置说明：
- 所有节点都要更新 /etc/hosts 文件，在原有内容基础上追加新增加的 Worker 节点的主机名和 IP 对应配置。
- 在 Master-0 节点上将 SSH 公钥发送到新增加的 Worker 节点。
2.1 新增 Worker 节点配置
本文只选取 Worker-1 节点作为演示，其余新增 Worker 节点都按照相同的方式进行配置和设置。
- 配置主机名
hostnamectl hostname ks-worker-1- 配置 hosts 文件
编辑 /etc/hosts 文件，将规划的服务器 IP 和主机名添加到文件中。
192.168.9.91 ks-master-0
192.168.9.92 ks-master-1
192.168.9.93 ks-master-2
192.168.9.95 ks-worker-0
192.168.9.96 ks-worker-1
192.168.9.97 ks-worker-2- 配置 DNS
echo "nameserver 114.114.114.114" > /etc/resolv.conf- 配置服务器时区
配置服务器时区为 Asia/Shanghai。
timedatectl set-timezone Asia/Shanghai验证服务器时区，正确配置如下。
[root@ks-worker-1 ~]# timedatectl
Local time: Wed 2023-07-12 07:29:15 CST
Universal time: Tue 2023-07-11 23:29:15 UTC
RTC time: Thu 2023-07-13 05:50:36
Time zone: Asia/Shanghai (CST, +0800)
System clock synchronized: no
NTP service: active
RTC in local TZ: no- 配置时间同步
安装 chrony 作为时间同步软件。
yum install chrony 修改配置文件 /etc/chrony.conf，修改 ntp 服务器配置。
vi /etc/chrony.conf
# 删除所有的 pool 配置
pool pool.ntp.org iburst
# 增加国内的 ntp 服务器，或是指定其他常用的时间服务器
pool cn.pool.ntp.org iburst
# 上面的手工操作，也可以使用 sed 自动替换
sed -i 's/^pool pool.*/pool cn.pool.ntp.org iburst/g' /etc/chrony.conf重启并设置 chrony 服务开机自启动。
systemctl restart chronyd && systemctl enable chronyd验证 chrony 同步状态。
# 执行查看命令
chronyc sourcestats -v
# 正常的输出结果如下
[root@ks-worker-1 ~]# chronyc sourcestats -v
.- Number of sample points in measurement set.
/ .- Number of residual runs with same sign.
| / .- Length of measurement set (time).
| | / .- Est. clock freq error (ppm).
| | | / .- Est. error in freq.
| | | | / .- Est. offset.
| | | | | | On the -.
| | | | | | samples. \
| | | | | | |
Name/IP Address NP NR Span Frequency Freq Skew Offset Std Dev
==============================================================================
time.cloudflare.com 5 4 72 -62.561 1522.322 +10ms 6299us
tick.ntp.infomaniak.ch 4 4 7 -2356.686 17029.674 -124ms 2317us
a.chl.la 5 3 72 -6.494 287.851 -16ms 1678us- 关闭系统防火墙
systemctl stop firewalld && systemctl disable firewalld- 禁用 SELinux
openEuler 22.03 SP2 最小化安装的系统默认启用了 SELinux，为了减少麻烦，我们所有的节点都禁用 SELinux。
# 使用 sed 修改配置文件，实现彻底的禁用
sed -i 's/^SELINUX=enforcing/SELINUX=disabled/' /etc/selinux/config
# 使用命令，实现临时禁用，这一步其实不做也行，KubeKey 会自动配置
setenforce 0- 安装系统依赖
在所有节点上，以 root 用户登陆系统，执行下面的命令为 Kubernetes 安装系统基本依赖包。
# 安装 Kubernetes 系统依赖包
yum install curl socat conntrack ebtables ipset ipvsadm
# 安装其他必备包，openEuler 也是奇葩了，默认居然都不安装tar，不装的话后面会报错
yum install tar2.2 集群所有已有节点新增配置
注意：本小节为可选配置项，如果你安装部署时没有使用主机名，均使用IP模式时，可以忽略本节内容。
- 配置 hosts 文件
编辑 /etc/hosts 文件，将新增的 Worker 节点 IP 和主机名条目更想到文件中。
192.168.9.91 ks-master-0
192.168.9.92 ks-master-1
192.168.9.93 ks-master-2
192.168.9.95 ks-worker-0
192.168.9.96 ks-worker-1
192.168.9.97 ks-worker-22.3 Master-0 节点新增配置
本小节为可选配置项，如果你使用纯密码的方式作为服务器远程连接认证方式，可以忽略本节内容。
输入以下命令将 SSH 公钥从 master-0 节点发送到其他节点。命令执行时输入 yes，以接受服务器的 SSH 指纹，然后在出现提示时输入 root 用户的密码。
ssh-copy-id root@ks-worker-1
ssh-copy-id root@ks-worker-2下面是密钥复制时，正确的输出结果。
[root@ks-master-0 ~]# ssh-copy-id root@ks-worker-1
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/root/.ssh/id_ed25519.pub"
The authenticity of host 'ks-worker-1 (192.168.9.96)' can't be established.
ED25519 key fingerprint is SHA256:xri+nP+7NfGgMG7kSl+ZNVWJvvvJmHyWN6ZHdh0x3jI.
This host key is known by the following other names/addresses:
~/.ssh/known_hosts:1: ks-master-0
~/.ssh/known_hosts:3: ks-master-1
~/.ssh/known_hosts:4: ks-master-2
~/.ssh/known_hosts:5: ks-worker-0
Are you sure you want to continue connecting (yes/no/[fingerprint])? yes
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keys
Authorized users only. All activities may be monitored and reported.
root@ks-worker-1's password:
Number of key(s) added: 1
Now try logging into the machine, with: "ssh 'root@ks-worker-1'"
and check to make sure that only the key(s) you wanted were added.添加并上传 SSH 公钥后，您现在可以执行下面的命令验证，通过 root 用户连接到所有服务器，无需密码验证。
[root@ks-master-0 ~]# ssh root@ks-worker-1
# 登陆输出结果 略3. 使用 KubeKey 扩容 Worker 节点
接下来我们使用 KubeKey 将新增加的节点加入到 Kubernetes 集群，参考官方文档说明，整个过程比较简单，仅需两步。
- 修改 KubeKey 部署时使用的集群配置文件
- 执行增加节点的命令
3.1 修改集群配置文件
通过 SSH 登陆到 master-0 节点，切换到原有的 kubekey 目录，修改原有的集群配置文件，我们实战中使用的名字为 kubesphere-v3.3.2.yaml，请根据实际情况修改 。
主要修改点：
- spec.hosts 部分：增加新的 worker 节点的信息。
- spec.roleGroups.worker 部分：增加新的 worker 节点的信息
修改后的示例如下：
apiVersion: kubekey.kubesphere.io/v1alpha2
kind: Cluster
metadata:
name: sample
spec:
hosts:
- {name: ks-master-0, address: 192.168.9.91, internalAddress: 192.168.9.91, user: root, password: "P@88w0rd"}
- {name: ks-master-1, address: 192.168.9.92, internalAddress: 192.168.9.92, user: root, privateKeyPath: "~/.ssh/id_ed25519"}
- {name: ks-master-2, address: 192.168.9.93, internalAddress: 192.168.9.93, user: root, privateKeyPath: "~/.ssh/id_ed25519"}
- {name: ks-worker-0, address: 192.168.9.95, internalAddress: 192.168.9.95, user: root, privateKeyPath: "~/.ssh/id_ed25519"}
- {name: ks-worker-1, address: 192.168.9.96, internalAddress: 192.168.9.96, user: root, privateKeyPath: "~/.ssh/id_ed25519"}
- {name: ks-worker-2, address: 192.168.9.97, internalAddress: 192.168.9.97, user: root, privateKeyPath: "~/.ssh/id_ed25519"}
roleGroups:
etcd:
- ks-master-0
- ks-master-1
- ks-master-2
control-plane:
- ks-master-0
- ks-master-1
- ks-master-2
worker:
- ks-worker-0
- ks-worker-1
- ks-worker-2
....
# 下面的内容保持不变3.2 使用 KubeKey 增加节点
在增加节点之前，我们再确认一下当前集群的节点信息。
[root@ks-master-0 kubekey]# kubectl get nodes -o wide
NAME STATUS ROLES AGE VERSION INTERNAL-IP EXTERNAL-IP OS-IMAGE KERNEL-VERSION CONTAINER-RUNTIME
ks-master-0 Ready control-plane 8h v1.26.0 192.168.9.91 <none> openEuler 22.03 (LTS-SP2) 5.10.0-153.12.0.92.oe2203sp2.x86_64 containerd://1.6.4
ks-master-1 Ready control-plane 8h v1.26.0 192.168.9.92 <none> openEuler 22.03 (LTS-SP2) 5.10.0-153.12.0.92.oe2203sp2.x86_64 containerd://1.6.4
ks-master-2 Ready control-plane 8h v1.26.0 192.168.9.93 <none> openEuler 22.03 (LTS-SP2) 5.10.0-153.12.0.92.oe2203sp2.x86_64 containerd://1.6.4
ks-worker-0 Ready worker 8h v1.26.0 192.168.9.95 <none> openEuler 22.03 (LTS-SP2) 5.10.0-153.12.0.92.oe2203sp2.x86_64 containerd://1.6.4接下来我们执行下面的命令，使用修改后的配置文件将新增的 Worker 节点加入集群。
export KKZONE=cn
./kk add nodes -f kubesphere-v3.3.2.yaml上面的命令执行后，首先 kk 会检查部署 Kubernetes 的依赖及其他详细要求。检查合格后，系统将提示您确认安装。输入 yes 并按 ENTER 继续部署。
[root@ks-master-0 kubekey]# export KKZONE=cn
[root@ks-master-0 kubekey]# ./kk add nodes -f kubesphere-v3.3.2.yaml
_ __ _ _ __
| | / / | | | | / /
| |/ / _ _| |__ ___| |/ / ___ _ _
| \| | | | '_ \ / _ \ \ / _ \ | | |
| |\ \ |_| | |_) | __/ |\ \ __/ |_| |
\_| \_/\__,_|_.__/ \___\_| \_/\___|\__, |
__/ |
|___/
08:22:11 CST [GreetingsModule] Greetings
08:22:12 CST message: [ks-master-2]
Greetings, KubeKey!
08:22:12 CST message: [ks-worker-0]
Greetings, KubeKey!
08:22:13 CST message: [ks-worker-1]
Greetings, KubeKey!
08:22:13 CST message: [ks-worker-2]
Greetings, KubeKey!
08:22:14 CST message: [ks-master-0]
Greetings, KubeKey!
08:22:14 CST message: [ks-master-1]
Greetings, KubeKey!
08:22:14 CST success: [ks-master-2]
08:22:14 CST success: [ks-worker-0]
08:22:14 CST success: [ks-worker-1]
08:22:14 CST success: [ks-worker-2]
08:22:14 CST success: [ks-master-0]
08:22:14 CST success: [ks-master-1]
08:22:14 CST [NodePreCheckModule] A pre-check on nodes
08:22:28 CST success: [ks-worker-1]
08:22:28 CST success: [ks-worker-2]
08:22:28 CST success: [ks-worker-0]
08:22:28 CST success: [ks-master-1]
08:22:28 CST success: [ks-master-2]
08:22:28 CST success: [ks-master-0]
08:22:28 CST [ConfirmModule] Display confirmation form
+-------------+------+------+---------+----------+-------+-------+---------+-----------+--------+--------+------------+------------+-------------+------------------+--------------+
| name | sudo | curl | openssl | ebtables | socat | ipset | ipvsadm | conntrack | chrony | docker | containerd | nfs client | ceph client | glusterfs client | time |
+-------------+------+------+---------+----------+-------+-------+---------+-----------+--------+--------+------------+------------+-------------+------------------+--------------+
| ks-worker-0 | y | y | y | y | y | y | y | y | y | | v1.6.4 | | | | CST 08:12:46 |
| ks-worker-1 | y | y | y | y | y | y | y | y | y | | | | | | CST 08:12:26 |
| ks-worker-2 | y | y | y | y | y | y | y | y | y | | | | | | CST 08:12:35 |
| ks-master-0 | y | y | y | y | y | y | y | y | y | | v1.6.4 | | | | CST 08:22:27 |
| ks-master-1 | y | y | y | y | y | y | y | y | y | | v1.6.4 | | | | CST 08:11:52 |
| ks-master-2 | y | y | y | y | y | y | y | y | y | | v1.6.4 | | | | CST 08:12:35 |
+-------------+------+------+---------+----------+-------+-------+---------+-----------+--------+--------+------------+------------+-------------+------------------+--------------+
This is a simple check of your environment.
Before installation, ensure that your machines meet all requirements specified at
https://github.com/kubesphere/kubekey#requirements-and-recommendations
Continue this installation? [yes/no]:安装过程日志输出比较多，为了节省篇幅这里就不展示了。部署完成需要大约15分钟左右，具体看网速和机器配置。
部署完成后，您应该会在终端上看到类似于下面的输出。提示部署完成的同时，输出中还会显示用户登陆 KubeSphere 的默认管理员用户和密码。
...
08:37:14 CST [AutoRenewCertsModule] Generate k8s certs renew script
08:37:20 CST success: [ks-master-1]
08:37:20 CST success: [ks-master-2]
08:37:20 CST success: [ks-master-0]
08:37:20 CST [AutoRenewCertsModule] Generate k8s certs renew service
08:37:25 CST success: [ks-master-0]
08:37:25 CST success: [ks-master-1]
08:37:25 CST success: [ks-master-2]
08:37:25 CST [AutoRenewCertsModule] Generate k8s certs renew timer
08:37:30 CST success: [ks-master-0]
08:37:30 CST success: [ks-master-1]
08:37:30 CST success: [ks-master-2]
08:37:30 CST [AutoRenewCertsModule] Enable k8s certs renew service
08:37:32 CST success: [ks-master-2]
08:37:32 CST success: [ks-master-0]
08:37:32 CST success: [ks-master-1]
08:37:32 CST Pipeline[AddNodesPipeline] execute successfully3.2 扩容验证
- KubeSphere 管理控制台验证集群节点信息
我们打开浏览器访问 master-0 节点的 IP 地址和端口 30880，登陆 KubeSphere 管理控制台的登录页面。
进入集群管理界面，单击左侧「节点」菜单，点击「集群节点」查看 Kubernetes 集群可用节点的详细信息。
ksp-openeuler-clusters-nodes-6
- 命令行验证集群节点信息
- 查看集群节点信息
在 master-0 节点运行 kubectl 命令获取 Kubernetes 集群上的可用节点列表。
kubectl get nodes -o wide在输出结果中可以看到，当前的 Kubernetes 集群有三个可用节点、节点的内部 IP、节点角色、节点的 Kubernetes 版本号、容器运行时及版本号、操作系统类型及内核版本等信息。
[root@ks-master-0 kubekey]# kubectl get nodes -o wide
NAME STATUS ROLES AGE VERSION INTERNAL-IP EXTERNAL-IP OS-IMAGE KERNEL-VERSION CONTAINER-RUNTIME
ks-master-0 Ready control-plane 8h v1.26.0 192.168.9.91 <none> openEuler 22.03 (LTS-SP2) 5.10.0-153.12.0.92.oe2203sp2.x86_64 containerd://1.6.4
ks-master-1 Ready control-plane 8h v1.26.0 192.168.9.92 <none> openEuler 22.03 (LTS-SP2) 5.10.0-153.12.0.92.oe2203sp2.x86_64 containerd://1.6.4
ks-master-2 Ready control-plane 8h v1.26.0 192.168.9.93 <none> openEuler 22.03 (LTS-SP2) 5.10.0-153.12.0.92.oe2203sp2.x86_64 containerd://1.6.4
ks-worker-0 Ready worker 8h v1.26.0 192.168.9.95 <none> openEuler 22.03 (LTS-SP2) 5.10.0-153.12.0.92.oe2203sp2.x86_64 containerd://1.6.4
ks-worker-1 NotReady worker 13m v1.26.0 192.168.9.96 <none> openEuler 22.03 (LTS-SP2) 5.10.0-153.12.0.92.oe2203sp2.x86_64 containerd://1.6.4
ks-worker-2 NotReady worker 13m v1.26.0 192.168.9.97 <none> openEuler 22.03 (LTS-SP2) 5.10.0-153.12.0.92.oe2203sp2.x86_64 containerd://1.6.4- 查看 Pod 列表
输入以下命令获取在 Kubernetes 集群上运行的 Pod 列表，按工作负载在 NODE 上的分布排序。
kubectl get pods -o wide -A | sort -k 8在输出结果中可以看到， 新增的两个 Worker 节点上已经运行了 5 个必须的基本组件。
[root@ks-master-0 kubekey]# kubectl get pods -o wide -A | sort -k 8
NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
kubesphere-system ks-controller-manager-b677bdb48-85fbt 1/1 Running 4 (4h26m ago) 8h 10.233.115.13 ks-worker-0 <none> <none>
kube-system calico-kube-controllers-7f576895dd-gqgx7 1/1 Running 3 (3h44m ago) 8h 10.233.115.1 ks-worker-0 <none> <none>
kube-system openebs-localpv-provisioner-5c7fdd7bd9-m4p7d 1/1 Running 3 (3h44m ago) 8h 10.233.115.2 ks-worker-0 <none> <none>
kube-system kube-apiserver-ks-master-0 1/1 Running 5 (4h21m ago) 8h 192.168.9.91 ks-master-0 <none> <none>
kube-system kube-controller-manager-ks-master-0 1/1 Running 1 (4h30m ago) 8h 192.168.9.91 ks-master-0 <none> <none>
kube-system kube-scheduler-ks-master-0 1/1 Running 1 (4h30m ago) 8h 192.168.9.91 ks-master-0 <none> <none>
kubesphere-monitoring-system node-exporter-ccxbp 2/2 Running 0 8h 192.168.9.91 ks-master-0 <none> <none>
kube-system calico-node-69fjx 1/1 Running 0 8h 192.168.9.91 ks-master-0 <none> <none>
kube-system kube-proxy-lvdvd 1/1 Running 0 8h 192.168.9.91 ks-master-0 <none> <none>
kube-system nodelocaldns-428h9 1/1 Running 0 8h 192.168.9.91 ks-master-0 <none> <none>
kubesphere-monitoring-system node-exporter-dnkbx 2/2 Running 0 8h 192.168.9.92 ks-master-1 <none> <none>
kube-system calico-node-scncc 1/1 Running 0 8h 192.168.9.92 ks-master-1 <none> <none>
kube-system coredns-d9d84b5bf-pgs75 1/1 Running 0 8h 10.233.103.1 ks-master-1 <none> <none>
kube-system coredns-d9d84b5bf-vt8gk 1/1 Running 0 8h 10.233.103.2 ks-master-1 <none> <none>
kube-system kube-apiserver-ks-master-1 1/1 Running 0 8h 192.168.9.92 ks-master-1 <none> <none>
kube-system kube-controller-manager-ks-master-1 1/1 Running 0 8h 192.168.9.92 ks-master-1 <none> <none>
kube-system kube-proxy-4x5jt 1/1 Running 0 8h 192.168.9.92 ks-master-1 <none> <none>
kube-system kube-scheduler-ks-master-1 1/1 Running 0 8h 192.168.9.92 ks-master-1 <none> <none>
kube-system nodelocaldns-gcmqw 1/1 Running 0 8h 192.168.9.92 ks-master-1 <none> <none>
kubesphere-monitoring-system node-exporter-5wxf4 2/2 Running 0 8h 192.168.9.93 ks-master-2 <none> <none>
kube-system calico-node-hcnwb 1/1 Running 0 8h 192.168.9.93 ks-master-2 <none> <none>
kube-system kube-apiserver-ks-master-2 1/1 Running 0 8h 192.168.9.93 ks-master-2 <none> <none>
kube-system kube-controller-manager-ks-master-2 1/1 Running 0 8h 192.168.9.93 ks-master-2 <none> <none>
kube-system kube-proxy-28wwm 1/1 Running 0 8h 192.168.9.93 ks-master-2 <none> <none>
kube-system kube-scheduler-ks-master-2 1/1 Running 0 8h 192.168.9.93 ks-master-2 <none> <none>
kube-system nodelocaldns-p65sd 1/1 Running 0 8h 192.168.9.93 ks-master-2 <none> <none>
kubesphere-controls-system default-http-backend-767cdb5fdc-69ttd 1/1 Running 0 8h 10.233.115.5 ks-worker-0 <none> <none>
kubesphere-monitoring-system kube-state-metrics-5b8c487d5-v7pwg 3/3 Running 0 8h 10.233.115.8 ks-worker-0 <none> <none>
kubesphere-monitoring-system node-exporter-qjqd8 2/2 Running 0 8h 192.168.9.95 ks-worker-0 <none> <none>
kubesphere-monitoring-system prometheus-operator-6fb9967754-vlbrw 2/2 Running 0 8h 10.233.115.7 ks-worker-0 <none> <none>
kubesphere-system ks-console-b5855d9f5-fwkxq 1/1 Running 0 8h 10.233.115.6 ks-worker-0 <none> <none>
kubesphere-system ks-installer-5b5cc7f6c5-ghmj5 1/1 Running 0 8h 10.233.115.3 ks-worker-0 <none> <none>
kube-system calico-node-9dfp6 1/1 Running 0 8h 192.168.9.95 ks-worker-0 <none> <none>
kube-system haproxy-ks-worker-0 1/1 Running 0 13m 192.168.9.95 ks-worker-0 <none> <none>
kube-system kube-proxy-zsj2m 1/1 Running 0 8h 192.168.9.95 ks-worker-0 <none> <none>
kube-system nodelocaldns-dgf49 1/1 Running 0 8h 192.168.9.95 ks-worker-0 <none> <none>
kube-system snapshot-controller-0 1/1 Running 0 8h 10.233.115.4 ks-worker-0 <none> <none>
kubesphere-controls-system kubectl-admin-5656cd6dfc-2cxmp 1/1 Running 0 8h 10.233.115.15 ks-worker-0 <none> <none>
kubesphere-monitoring-system prometheus-k8s-0 2/2 Running 0 8h 10.233.115.11 ks-worker-0 <none> <none>
kubesphere-monitoring-system prometheus-k8s-1 2/2 Running 0 8h 10.233.115.12 ks-worker-0 <none> <none>
kubesphere-system ks-apiserver-579fb669c7-5m6ds 1/1 Running 0 8h 10.233.115.14 ks-worker-0 <none> <none>
kubesphere-monitoring-system node-exporter-92m6p 2/2 Running 0 24m 192.168.9.96 ks-worker-1 <none> <none>
kube-system calico-node-vgshr 1/1 Running 0 24m 192.168.9.96 ks-worker-1 <none> <none>
kube-system haproxy-ks-worker-1 1/1 Running 0 14m 192.168.9.96 ks-worker-1 <none> <none>
kube-system kube-proxy-b6vn8 1/1 Running 0 24m 192.168.9.96 ks-worker-1 <none> <none>
kube-system nodelocaldns-bsccj 1/1 Running 0 24m 192.168.9.96 ks-worker-1 <none> <none>
kubesphere-monitoring-system node-exporter-vhbct 2/2 Running 0 24m 192.168.9.97 ks-worker-2 <none> <none>
kube-system calico-node-ccgbr 1/1 Running 0 24m 192.168.9.97 ks-worker-2 <none> <none>
kube-system haproxy-ks-worker-2 1/1 Running 0 14m 192.168.9.97 ks-worker-2 <none> <none>
kube-system kube-proxy-fp8fr 1/1 Running 0 24m 192.168.9.97 ks-worker-2 <none> <none>
kube-system nodelocaldns-kzrvg 1/1 Running 0 24m 192.168.9.97 ks-worker-2 <none> <none>- 查看 Image 列表
输入以下命令查看在 Worker 节点上已经下载的 Image 列表。
crictl images ls在新增的 Worker 节点执行，输出结果如下：
[root@ks-worker-1 ~]# crictl images ls
IMAGE TAG IMAGE ID SIZE
docker.io/calico/cni v3.23.2 a87d3f6f1b8fd 111MB
registry.cn-beijing.aliyuncs.com/kubesphereio/cni v3.23.2 a87d3f6f1b8fd 111MB
docker.io/calico/kube-controllers v3.23.2 ec95788d0f725 56.4MB
docker.io/calico/node v3.23.2 a3447b26d32c7 77.8MB
registry.cn-beijing.aliyuncs.com/kubesphereio/node v3.23.2 a3447b26d32c7 77.8MB
docker.io/calico/pod2daemon-flexvol v3.23.2 b21e2d7408a79 8.67MB
docker.io/coredns/coredns 1.9.3 5185b96f0becf 14.8MB
docker.io/kubesphere/k8s-dns-node-cache 1.15.12 5340ba194ec91 42.1MB
registry.cn-beijing.aliyuncs.com/kubesphereio/k8s-dns-node-cache 1.15.12 5340ba194ec91 42.1MB
docker.io/kubesphere/kube-proxy v1.26.0 556768f31eb1d 21.5MB
registry.cn-beijing.aliyuncs.com/kubesphereio/kube-proxy v1.26.0 556768f31eb1d 21.5MB
docker.io/kubesphere/pause 3.8 4873874c08efc 311kB
docker.io/library/haproxy 2.3 7ecd3fda00f4e 38.5MB
registry.cn-beijing.aliyuncs.com/kubesphereio/kube-rbac-proxy v0.11.0 29589495df8d9 19.2MB
registry.cn-beijing.aliyuncs.com/kubesphereio/node-exporter v1.3.1 1dbe0e9319764 10.3MB注意：Worker 节点的 Image 初始数量为 16 个。
至此，我们完成了在已有三个 Master 节点和一个 Worker 节点的 Kubernetes 集群中增加 2 个 Worker节点的全部任务。
结束语
本文主要实战演示了在利用 KubeKey 自动化增加 Worker 节点到已有 Kubernetes 集群的详细过程。
本文的操作虽然是基于 openEuler 22.03 LTS SP2，但是整个操作流程同样适用于其他操作系统利用 KubeKey 部署的 Kubernetes 集群的扩容。
下一期，我们会实战讲解如何在 KubeSphere 中对接持久化存储 GlusterFS，请持续关注。
基于 KubeSphere 玩转 K8S 第二季系列文档，是运维有术推出的基于 KubeSphere 玩转 K8S 第二季实战训练营的实战文档。
原创声明：本文系作者授权腾讯云开发者社区发表，未经许可，不得转载。
如有侵权，请联系 cloudcommunity@tencent.com 删除。
原创声明：本文系作者授权腾讯云开发者社区发表，未经许可，不得转载。
如有侵权，请联系 cloudcommunity@tencent.com 删除。
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