k8s集群部署及可视化kuboard 部署

2023-12-12 23:14

本文主要是介绍k8s集群部署及可视化kuboard 部署,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!

 

目录

 一.准备环境

1.准备三台服务器

2.做域名解析[集群]

3.时间同步[集群]

4.关闭防火墙与selinux[集群]

5.配置静态ip[集群]

6.关闭swap分区[集群]

7.注意:

二.docker部署[集群]

2.安装最新版

3.查看Docker版本:

4.启动Docker服务:

5.查看docker版本状态: 

6.生产docker的环境配置

三.k8s集群部署[集群]

1.配置k8s阿里云源

2.安装相应的包

3.加载ipvs相关内核模块

4.配置:配置转发相关参数,否则可能会出错

5.使配置生效

6.如果net.bridge.bridge-nf-call-iptables报错,加载br_netfilter模块

7.查看是否加载成功

8.配置启动kubelet[集群]

9.启动

注意:

10.配置master节点[master]

11.配置使用kubectl

12. 查看node节点

13.配置使用网络插件[master]

14.node加入集群[node]

15.后续检查[master]

注意:这里有可能报错 ​编辑

解决办法: 

 四.可视化kuboard 部署[master]

1.部署

 2.进去界面

 3.创建一个容器pod

 4.运行之后

​编辑5.界面展示


一.准备环境

1.准备三台服务器

主机名地址角色配置
k8s-master10.36.192.181主节点2核4G
k8s-node110.36.192.182工作节点1核2G
k8s-node210.36.192.184工作节点1核2G

2.做域名解析[集群]

cat >> /etc/hosts <<EOF
10.36.192.181  k8s-master
10.36.192.182  k8s-node1
10.36.192.184  k8s-node2
EOF

3.时间同步[集群]

yum -y install ntpdate
ntpdate ntp.aliyun.com
hwclock --systohc

4.关闭防火墙与selinux[集群]

systemctlstop firewalld  && systemctl disable firewalld 
setenforce 0 &&  sed -i 's/SELINUX=enforcing/SELINUX=disabled/' /etc/sysconfig/selinux

5.配置静态ip[集群]

6.关闭swap分区[集群]

# swapoff -a
修改/etc/fstab文件,注释掉SWAP的自动挂载,使用free -m确认swap已经关闭。
2.注释掉swap分区:
# sed -i 's/.*swap.*/#&/' /etc/fstab
# free -mtotal        used        free      shared  buff/cache   available
Mem:           3935         144        3415           8         375        3518
Swap:             0           0           0

7.注意:

这里有[集群]的,三台都执行,[master]:master节点执行; [node]:node节点执行

二.docker部署[集群]

1.配置阿里云Docker Yum源

  # yum install -y yum-utils device-mapper-persistent-data lvm2 git# yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

2.安装最新版

 yum install docker-ce -y

3.查看Docker版本:

  yum list docker-ce --showduplicates

4.启动Docker服务:

systemctl enable docker
systemctl start docker 

5.查看docker版本状态: 

  # docker -vDocker version 1.13.1, build 8633870/1.13.1  

6.生产docker的环境配置

sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{"registry-mirrors": ["https://pilvpemn.mirror.aliyuncs.com"],"exec-opts": ["native.cgroupdriver=systemd"],"log-driver": "json-file","log-opts": {"max-size": "100m"},"storage-driver": "overlay2"
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker
#注意:一定注意编码问题,出现错误---查看命令:journalctl -amu docker 即可发现错误

三.k8s集群部署[集群]

1.配置k8s阿里云源

cat <<EOF > /etc/yum.repos.d/kubernetes.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
EOF

2.安装相应的包

1.安装依赖包及常用软件包
# yum install -y conntrack ntpdate ntp ipvsadm ipset jq iptables curl sysstat libseccomp wget vim net-tools git iproute lrzsz bash-completion tree bridge-utils unzip bind-utils gcc2.安装对应版本
# yum install -y kubelet-1.22.0-0.x86_64 kubeadm-1.22.0-0.x86_64 kubectl-1.22.0-0.x86_64

3.加载ipvs相关内核模块

cat <<EOF > /etc/modules-load.d/ipvs.conf 
ip_vs
ip_vs_lc
ip_vs_wlc
ip_vs_rr
ip_vs_wrr
ip_vs_lblc
ip_vs_lblcr
ip_vs_dh
ip_vs_sh
ip_vs_nq
ip_vs_sed
ip_vs_ftp
ip_vs_sh
nf_conntrack_ipv4
ip_tables
ip_set
xt_set
ipt_set
ipt_rpfilter
ipt_REJECT
ipip
EOF

4.配置:配置转发相关参数,否则可能会出错

cat <<EOF >  /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-iptables=1
net.bridge.bridge-nf-call-ip6tables=1
net.ipv4.ip_forward=1
net.ipv4.tcp_tw_recycle=0
vm.swappiness=0
vm.overcommit_memory=1
vm.panic_on_oom=0
fs.inotify.max_user_instances=8192
fs.inotify.max_user_watches=1048576
fs.file-max=52706963
fs.nr_open=52706963
net.ipv6.conf.all.disable_ipv6=1
net.netfilter.nf_conntrack_max=2310720
EOF

5.使配置生效

 sysctl --system

6.如果net.bridge.bridge-nf-call-iptables报错,加载br_netfilter模块

# modprobe br_netfilter
# modprobe ip_conntrack
# sysctl -p /etc/sysctl.d/k8s.conf

7.查看是否加载成功

lsmod | grep ip_vs

8.配置启动kubelet[集群]

配置变量:
#DOCKER_CGROUPS=`docker info |grep 'Cgroup' | awk ' NR==1 {print $3}'`
#echo $DOCKER_CGROUPS
cgroupfs2.配置kubelet的cgroups
cat >/etc/sysconfig/kubelet<<EOF
KUBELET_EXTRA_ARGS="--cgroup-driver=$DOCKER_CGROUPS --pod-infra-container-image=k8s.gcr.io/pause:3.5"
EOF

9.启动

systemctl daemon-reload
systemctl enable kubelet && systemctl restart kubelet

注意:

在这里使用 # systemctl status kubelet,你会发现报错误信息;10月 11 00:26:43 node1 systemd[1]: kubelet.service: main process exited, code=exited, status=255/n/a
10月 11 00:26:43 node1 systemd[1]: Unit kubelet.service entered failed state.
10月 11 00:26:43 node1 systemd[1]: kubelet.service failed.
#这个错误在运行kubeadm init 生成CA证书后会被自动解决,此处可先忽略。
#简单地说就是在kubeadm init 之前kubelet会不断重启。

10.配置master节点[master]

beadm init --kubernetes-version=v1.22.0 --pod-network-cidr=10.244.0.0/16 --apiserver-advertise-address=192.168.96.10

注意:这条命令执行之后产生的 kubeadm join 192.168.96.10:6443 --tokken...#需要记住

注:
apiserver-advertise-address=192.168.96.10    ---master的ip地址。
--kubernetes-version=v1.22.0   --更具具体版本进行修改如果报错会有版本提示,那就是有更新新版本了
[init] Using Kubernetes version: v1.22.0
[preflight] Running pre-flight checks[WARNING IsDockerSystemdCheck]: detected "cgroupfs" as the Docker cgroup driver. The recommended driver is "systemd". Please follow the guide at https://kubernetes.io/docs/setup/cri/[WARNING SystemVerification]: this Docker version is not on the list of validated versions: 18.03.0-ce. Latest validated version: 18.09
[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'
[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] Activating the kubelet service
[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 [kub-k8s-master kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 192.168.96.10]
[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 [kub-k8s-master localhost] and IPs [192.168.96.10 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [kub-k8s-master localhost] and IPs [192.168.96.10 127.0.0.1 ::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
[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 24.575209 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.16" in namespace kube-system with the configuration for the kubelets in the cluster
[upload-certs] Skipping phase. Please see --upload-certs
[mark-control-plane] Marking the node kub-k8s-master as control-plane by adding the label "node-role.kubernetes.io/master=''"
[mark-control-plane] Marking the node kub-k8s-master as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: 93erio.hbn2ti6z50he0lqs
[bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles
[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
[addons] Applied essential addon: CoreDNS
[addons] Applied essential addon: kube-proxyYour Kubernetes control-plane has initialized successfully!To start using your cluster, you need to run the following as a regular user:mkdir -p $HOME/.kubesudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/configsudo chown $(id -u):$(id -g) $HOME/.kube/configYou 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 192.168.96.10:6443 --tokken 93erio.hbn2ti6z50he0lqs \--discovery-token-ca-cert-hash sha256:3bc60f06a19bd09f38f3e05e5cff4299011b7110ca3281796668f4edb29a56d9  #需要记住

11.配置使用kubectl

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

12. 查看node节点

kubectl get nodes
NAME         STATUS     ROLES    AGE     VERSION
k8s-master   NotReady   master   2m41s   v1.22.0

13.配置使用网络插件[master]

kubectl get pod -ANAMESPACE     NAME                                       READY   STATUS    RESTARTS   AGE
kube-system   calico-kube-controllers-6d9cdcd744-8jt5g   1/1     Running   0          6m50s
kube-system   calico-node-rkz4s                          1/1     Running   0          6m50s
kube-system   coredns-74ff55c5b-bcfzg                    1/1     Running   0          52m
kube-system   coredns-74ff55c5b-qxl6z                    1/1     Running   0          52m
kube-system   etcd-kub-k8s-master                        1/1     Running   0          53m
kube-system   kube-apiserver-kub-k8s-master              1/1     Running   0          53m
kube-system   kube-controller-manager-kub-k8s-master     1/1     Running   0          53m
kube-system   kube-proxy-gfhkf                           1/1     Running   0          52m
kube-system   kube-scheduler-kub-k8s-master              1/1     Running   0          53m

14.node加入集群[node]

配置node节点加入集群:
如果报错开启ip转发:
# sysctl -w net.ipv4.ip_forward=1在所有node节点操作,此命令为初始化master成功后返回的结果
# kubeadm join 192.168.96.10:6443 --token 93erio.hbn2ti6z50he0lqs \--discovery-token-ca-cert-hash sha256:3bc60f06a19bd09f38f3e05e5cff4299011b7110ca3281796668f4edb29a56d9

15.后续检查[master]

各种检测:
1.查看pods:
[root@kub-k8s-master ~]# kubectl get pods -n kube-system
NAME                                     READY   STATUS    RESTARTS   AGE
coredns-5644d7b6d9-sm8hs                 1/1     Running   0          39m
coredns-5644d7b6d9-vddll                 1/1     Running   0          39m
etcd-kub-k8s-master                      1/1     Running   0          37m
kube-apiserver-kub-k8s-master            1/1     Running   0          38m
kube-controller-manager-kub-k8s-master   1/1     Running   0          38m
kube-flannel-ds-amd64-9wgd8              1/1     Running   0          38m
kube-flannel-ds-amd64-lffc8              1/1     Running   0          2m11s
kube-flannel-ds-amd64-m8kk2              1/1     Running   0          2m2s
kube-proxy-dwq9l                         1/1     Running   0          2m2s
kube-proxy-l77lz                         1/1     Running   0          2m11s
kube-proxy-sgphs                         1/1     Running   0          39m
kube-scheduler-kub-k8s-master            1/1     Running   0          37m2.查看节点:
[root@kub-k8s-master ~]# kubectl get nodes
NAME             STATUS   ROLES    AGE     VERSION
kub-k8s-master   Ready    master   43m     v1.22.0
kub-k8s-node1    Ready    <none>   6m46s   v1.22.0
kub-k8s-node2    Ready    <none>   6m37s   v1.22.0到此集群配置完成

注意:这里有可能报错
 

解决办法: 

#出现kubectl get pods -A后calico和coredns这两个网络没起来(0/1)的情况,原因是网卡较多选择错误,需要
执行
kubectl edit daemonset calico-node-n kube-system
在文件里写入
#– name: IP_AUTODETECTION_METHOD
#  value: “interface=ens*”

 四.可视化kuboard 部署[master]

1.部署

kubectl apply -f https://addons.kuboard.cn/kuboard/kuboard-v3.yaml[root@kube-master ~]# kubectl get pod -n kuboard
NAME                               READY   STATUS    RESTARTS         AGE
kuboard-agent-2-5c54dcb98f-4vqvc   1/1     Running   24 (7m50s ago)   16d
kuboard-agent-747b97fdb7-j42wr     1/1     Running   24 (7m34s ago)   16d
kuboard-etcd-ccdxk                 1/1     Running   16 (8m58s ago)   16d
kuboard-etcd-k586q                 1/1     Running   16 (8m53s ago)   16d
kuboard-questdb-bd65d6b96-rgx4x    1/1     Running   10 (8m53s ago)   16d
kuboard-v3-5fc46b5557-zwnsf        1/1     Running   12 (8m53s ago)   16d[root@kube-master ~]# kubectl get svc -n kuboard
NAME         TYPE       CLUSTER-IP     EXTERNAL-IP   PORT(S)                                        AGE
kuboard-v3   NodePort   10.36.192.181   <none>        80:30080/TCP,10081:30081/TCP,10081:30081/UDP   16d

账号:admin
密码:Kuboard123

 2.进去界面

 3.创建一个容器pod

#cat nginx.yaml---
apiVersion: v1
kind: Pod
metadata:name: nginxnamespace: xian2304labels:name: nginx
spec:containers:- name: nginximage: daocloud.io/library/nginx imagePullPolicy: IfNotPresentresources:limits:memory: "128Mi"cpu: "500m"ports:- containerPort: 80

 4.运行之后


#运行
kubectl apply -f nginx.yaml

5.界面展示

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