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安装云平台环境.md

安装云平台环境.md 25 KB
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[TOC]

1、安装前的准备工作

1.1、准备三台服务器

虚拟机的最低标准 master 至少4核心 内存至少8G 存储空间80G以上 node 至少2核心 内存至少4G 存储空间60G以上

需要准备三台服务器并设置静态IP，这里不再赘述。本文档的配置如下

节点名称 ip
master 192.168.238.20
node1 192.168.238.21
node2 192.168.238.22

1.2、安装前的准备工作

# 关闭防火墙
systemctl stop firewalld && systemctl disable firewalld

# 关闭selinux
sed -i 's/enforcing/disabled/' /etc/selinux/config  # 永久
setenforce 0  # 临时
cat /etc/selinux/config

# 关闭swap
swapoff -a  # 临时
sed -ri 's/.*swap.*/#&/' /etc/fstab    # 永久
free -m

# 根据规划设置主机名
hostnamectl set-hostname <hostname>

# 在master添加hosts
cat >> /etc/hosts << EOF
192.168.238.20 master
192.168.238.21 node1
192.168.238.22 node2
EOF

# 将桥接的IPv4流量传递到iptables的链
cat > /etc/sysctl.d/k8s.conf << EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
sysctl --system  # 生效

# 修改当前时间为北京时间
# 查看当前系统时间 
date
# 修改当前系统时间 
date -s "2018-2-22 19:10:30
# 查看硬件时间 
hwclock --show
# 修改硬件时间 
hwclock --set --date "2018-2-22 19:10:30"
# 同步系统时间和硬件时间 
hwclock --hctosys
# 保存时钟 
clock -w

上述操作执行完毕后重启

reboot

三台服务器，开始下一步的安装

2、离线安装Docker及其相应组件(三台服务机都需要安装)

2.1、离线安装Docker

# 1.创建目录存放相应的安装包
mkdir -p /opt/package/docker

# 2.上传安装包下的docker文件夹到上述的目录中

# 3.进入目录，进行解压缩操作
cd /opt/package/docker
unzip docker19-rpm.zip

# 4.安装docker
rpm -ivh *.rpm  --force --nodeps
systemctl enable docker && systemctl start docker

# 5.查看是否安装成功
docker --version

输出docker版本号表示安装成功 image-20220313152413610

2.2、离线安装Docker-compose

将安装包目录下的docker-compose-linux-x86_64文件上传到服务机的/opt/package目录下使用命令

// 1.将下载好的文件传入linux系统中，并重命名未docker-compose
mv docker-compose-linux-x86_64 docker-compose
// 2.给予docker-compose文件可执行权限
chmod u+x docker-compose
// 3.将docker-compose文件移至/usr/local/bin
mv docker-compose /usr/local/bin
// 4.查看版本
docker-compose --version

输出docker-compose版本号表示安装成功 image-20211108154405864

3、安装Harbor及相应的配置(只需要一台服务机安装)

3.0、安装注意事项

本文档Harbor安装在单独一台虚拟机上面，如果只有三台机器，请将下面的server.harbor.com换成固定的IP（这里的固定IP意思是安装harbor的虚拟机的IP），例如将harbor仓库安装在master节点就将server.harbor.com换为192.168.238.20。

3.1、安装Harbor

  1. 将压缩包harbor-offline-installer-v2.1.5.tgz上传到

    /opt/package/

    目录下

    1. 解压该压缩包 sh tar xf harbor-offline-installer-v2.1.5.tgz

  2. 修改harbor安装的配置文件

首先备份一份压缩包

# 复制配置文件内容到harbor.yml 中（安装时只识别harbor.yml）
cp harbor.yml.tmpl  harbor.yml         
# 用于存放harbor的持久化数据
mkdir -p /opt/package/harbor/data       

# 用于存放harbor的日志
mkdir -p /opt/package/harbor/log

其次对harbor.yml文件进行修改配置

# 需要修改为域名，如果没有单独的机器，请修改为IP
hostname: server.harbor.com

# http related config
http:
  port: 80
# 需要全部注释
# https related config
# https:
  # https port for harbor, default is 443
  # port: 443
  # The path of cert and key files for nginx
  # certificate: /your/certificate/path
  # private_key: /your/private/key/path
  
data_volume: /opt/package/harbor/data     # 需要添加一个自己的目录

log:
    location:  /opt/package/harbor/log  # 需要添加一个自己的目录
  1. 安装并启动Harbor

保证此时在harbor安装文件中，执行install.sh文件进行安装，命令为：

./install.sh
  1. 访问harbor Web界面

通过自己的ip+端口访问

image-20211207125209937

3.2、配置Docker访问Harbor(三台服务机都要配置)

首先修改服务机的hosts,如果没有单独的harbor服务器，请忽略这一步

# 将下面的ip缓存harbor的ip
echo "10.168.59.60  server.harbor.com">> /etc/hosts

docker添加harbor配置-----注意这里要加harbor的端口号,这里配置的端口号为上述harbor配置文件的端口号

mkdir -p /etc/docker

tee /etc/docker/daemon.json <<-'EOF'
{
  "insecure-registries": ["server.harbor.com:80"]
}
EOF

systemctl daemon-reload && systemctl restart docker

# 如果是ip方式
mkdir -p /etc/docker

tee /etc/docker/daemon.json <<-'EOF'
{
  "insecure-registries": ["192.168.238.20:80", "192.168.238.20", "lab3", "la"]
}
EOF

systemctl daemon-reload && systemctl restart docker

输入命令

# 重新启动harbor，因为docker重启但是harbor不能自动重启
cd /opt/package/
docker-compose start
# 登录harbor
docker login server.harbor.com:80

输入用户名：admin 密码：Harbor12345 image-20211110155332792 至此，harbor配置完成

4、K8S 离线安装及NFS配置（三台服务机都需要安装）

4.1 、上传kube1.9.0.tar.gz(以下简称kube1.9)到服务器

# 1.三台服务机创建目录
mkdir -p /opt/package/k8s
# 2.上传文件到指定目录
scp -r kube1.9.0.tar.gz root@192.168.238.20:/opt/package/k8s
scp -r kube1.9.0.tar.gz root@192.168.238.21:/opt/package/k8s
scp -r kube1.9.0.tar.gz root@192.168.238.22:/opt/package/k8s

4.2 、解压安装主从

# 1.master下，进入/opt/package/k8s目录下解压，执行脚本
tar -zxvf kube1.19.0.tar.gz
cd kube/shell 
chmod +x init.sh
./init.sh

# 2.等待init.sh执行完毕,之后执行
chmod +x master.sh
./master.sh

# 3. node1和node2执行下面的命令
cd /opt/package/k8s
tar -zxvf kube1.9.0.tar.gz
cd kube/shell 
chmod +x init.sh
./init.sh

# 4. 进入master节点将/etc/kubernetes/admin.conf文件复制到node1节点和node2节点
scp -r /etc/kubernetes/admin.conf node1:/etc/kubernetes/
scp -r /etc/kubernetes/admin.conf node2:/etc/kubernetes/

4.3 、从节点加入主节点

  1. 在master节点生成token

    kubeadm token create --print-join-command

    效果如下

    [root@master shell]# kubeadm token create --print-join-command
W1009 17:15:31.782757   37720 configset.go:348] WARNING: kubeadm cannot validate component configs for API groups [kubelet.config.k8s.io kubeproxy.config.k8s.io]
kubeadm join 192.168.0.90:6443 --token ul68zs.dkkvpwfex9rpzo0d     --discovery-token-ca-cert-hash sha256:3e3ee481f5603621f216e707321aa26a68834939e440be91322c62eb8540ffce
    1. 在node1和node2中执行下面的命令------注意这里要上面生产的命令
      kubeadm join 192.168.0.90:6443 --token ul68zs.dkkvpwfex9rpzo0d     --discovery-token-ca-cert-hash sha256:3e3ee481f5603621f216e707321aa26a68834939e440be91322c62eb8540ffce

    结果如下

      [root@node1 shell]# kubeadm join 192.168.0.90:6443 --token ul68zs.dkkvpwfex9rpzo0d     --discovery-token-ca-cert-hash sha256:3e3ee481f5603621f216e707321aa26a68834939e440be91322c62eb8540ffce
  [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 FileExisting-socat]: socat not found in system path
  [preflight] Reading configuration from the cluster...
  [preflight] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -oyaml'
  [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.

  2. 给node1和node2添加执行权限

# 在node1和node2执行一下命令
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
kubectl get nodes
# 注意上面的admin.conf是从master节点复制过来的

4.4、 验证集群pod是否running，各节点是否ready

watch kubectl get pod -n kube-system -o wide 效果如下

   [root@master shell]# watch kubectl get pod -n kube-system -o wide
   Every 2.0s: kubectl get pod -n kube-system -o wide                                                                                                                  Fri Oct  9 17:45:03 2020
     NAME                                       READY   STATUS    RESTARTS   AGE   IP               NODE     NOMINATED NODE   READINESS GATES
     calico-kube-controllers-5d7686f694-94fcc   1/1     Running   0          48m   100.89.161.131   master   <none>           <none>
     calico-node-42bwj                          1/1     Running   0          48m   192.168.0.90     master   <none>           <none>
     calico-node-k6k6d                          1/1     Running   0          27m   192.168.0.189    node2    <none>           <none>
     calico-node-lgwwj                          1/1     Running   0          29m   192.168.0.68     node1    <none>           <none>
     coredns-f9fd979d6-2ncmm                    1/1     Running   0          48m   100.89.161.130   master   <none>           <none>
     coredns-f9fd979d6-5s4nw                    1/1     Running   0          48m   100.89.161.129   master   <none>           <none>
     etcd-master                                1/1     Running   0          48m   192.168.0.90     master   <none>           <none>
     kube-apiserver-master                      1/1     Running   0          48m   192.168.0.90     master   <none>           <none>
     kube-controller-manager-master             1/1     Running   0          48m   192.168.0.90     master   <none>           <none>
     kube-proxy-5g2ht                           1/1     Running   0          29m   192.168.0.68     node1    <none>           <none>
     kube-proxy-wpf76                           1/1     Running   0          27m   192.168.0.189    node2    <none>           <none>
     kube-proxy-zgcft                           1/1     Running   0          48m   192.168.0.90     master   <none>           <none>
     kube-scheduler-master                      1/1     Running   0          48m   192.168.0.90     master   <none>           <none>

kubectl get nodes 效果如下

   [root@master shell]# kubectl get nodes
     NAME     STATUS   ROLES    AGE     VERSION
     master   Ready    master   22m     v1.19.0
     node1    Ready    <none>   2m17s   v1.19.0
     node2    Ready    <none>   24s     v1.19.0

4.5、配置NFS

master NFS服务端+NFS客户端
node1 NFS客户端
node2 NFS客户端
  1. 将本地nfs离线包上传至服务器及各个节点的/opt/package/nfs文件夹下
   scp -r nfs master:/opt/package
   scp -r nfs node1:/opt/package
   scp -r nfs n:/opt/package
  1. 安装服务端(master节点操作)
   # 进入master节点内/opt/package/nfs文件夹内执行以下命令
   # 进入/opt/package/nfs
   cd /opt/package/nfs
   # 安装nfs
   rpm -ivh *.rpm  --force --nodeps # 注意如果不能安装选择  nfs.zip文件
   # 执行命令 vi /etc/exports，创建 exports 文件，文件内容如下：
   echo "/nfs/data/ *(insecure,rw,sync,no_root_squash)" > /etc/exports
   # 执行以下命令，启动 nfs 服务
   # 创建共享目录
   mkdir -p /nfs/data
   systemctl enable rpcbind
   systemctl enable nfs-server
   systemctl start rpcbind
   systemctl start nfs-server
   exportfs -r
   # 检查配置是否生效
   exportfs
   # 输出结果如下所示
   /nfs/data     	<world>

  1. 安装NFS客户端(三台服务机操作)

    # 进入node1,node2节点内/opt/package/nfs文件夹内执行以下命令
cd /opt/package/nfs
rpm -ivh *.rpm  --force --nodeps # 注意如果不能安装选择  nfs.zip文件
systemctl start nfs && systemctl enable nfs

    1. K8S中安装NFS(任意K8S节点,这里选择master节点) ```sh

      1.进入/opt/package/nfs目录

      cd /opt/package/nfs

      2.载入docker镜像

      docker load < nfs-client-provisioner.tar.gz

      3.修改deployment.yaml文件

      vim /opt/package/nfs/deployment.yaml

    apiVersion: apps/v1 kind: Deployment metadata: name: nfs-client-provisioner labels: app: nfs-client-provisioner

    replace with namespace where provisioner is deployed

    namespace: default spec: replicas: 1 strategy: type: Recreate selector: matchLabels: app: nfs-client-provisioner template: metadata: labels:

    app: nfs-client-provisioner

    spec: serviceAccountName: nfs-client-provisioner containers:

    - name: nfs-client-provisioner
  image: quay.io/external_storage/nfs-client-provisioner:latest ##默认是latest版本
  imagePullPolicy: Never ## 这里选择从本地拉取
  volumeMounts:
    - name: nfs-client-root
      mountPath: /persistentvolumes
  env:
    - name: PROVISIONER_NAME
      value: fuseim.pri/ifs 
    - name: NFS_SERVER
      value: 192.168.238.20 ##这里写NFS服务器的IP地址
    - name: NFS_PATH
      value: /nfs/data ##这里写NFS服务器中的共享挂载目录（强调：这里的路径必须是目录中最后一层的文件夹，否则部署的应用将无权限创建目录导致Pending）

    volumes:

    - name: nfs-client-root
  nfs:
    server: 192.168.238.20  ##这里写NFS服务器的IP地址
    path: /nfs/data ##NFS服务器中的共享挂载目录（强调：这里的路径必须是目录中最后一层的文件夹，否则部署的应用将无权限创建目录导致Pending）

    4、部署yaml文件

    [root@k8s-client nfs]# kubectl apply -f .

    5、查看服务

    [root@k8s-client nfs]# kubectl get pods NAME READY STATUS RESTARTS AGE nfs-client-provisioner-78697f488-5p52r 1/1 Running 0 16h

    6、列出你的集群中的StorageClass

    [root@k8s-client nfs]# kubectl get storageclass NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE managed-nfs-storage fuseim.pri/ifs Delete Immediate false 16h

    7、标记一个StorageClass为默认的 （是storageclass的名字也就是你部署的StorageClass名字是啥就写啥）

    [root@k8s-client nfs]# kubectl patch storageclass managed-nfs-storage -p '{"metadata": {"annotations":{"storageclass.kubernetes.io/is-default-class":"true"}}}' storageclass.storage.k8s.io/managed-nfs-storage patched

    8、验证你选用为默认的StorageClass

    [root@k8s-client nfs]# kubectl get storageclass NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE managed-nfs-storage (default) fuseim.pri/ifs Delete Immediate false
    ```

5、安装kubesphere及其相应的插件

5.1、将离线包上传至harbor仓库（该操作只需在master节点进行）

将安装包目录下的kubesphere文件夹上传至服务机master节点的

/opt/package/

目录下

进入harbor仓库 image-20211110230053303 新建一个kubesphere项目 image-20211111101212415

# 在服务机master节点中执行命令
# 重新启动harbor，因为docker重启但是harbor不能自动重启
cd /opt/package/harbor
docker-compose start
# 进入该路径
cd /opt/package/kubesphere/

# 上传安装包 这里的最后一行改成自己harbor仓库的ip+端口号+项目名称
chmod +x offline-installation-tool.sh
./offline-installation-tool.sh -l images-list.txt -d ./kubesphere-images -r server.harbor.com:80/kubesphere
# 等待上传完毕

image-20211110230429326

5.2、最小化安装kubesphere

# 执行以下命令
# 1.编辑cluster-configuration.yaml添加您的私有镜像仓库
vim cluster-configuration.yaml
spec:
  persistence:
    storageClass: ""        
  authentication:
    jwtSecret: ""           
  local_registry: server.harbor.com:80/kubesphere   #添加内容

# 2.编辑完成后保存 cluster-configuration.yaml，使用以下命令将 ks-installer 替换为您自己仓库的地址---（本文的harbor安装地址server.harbor.com:80/kubesphere）
sed -i "s#^\s*image: kubesphere.*/ks-installer:.*#        image: server.harbor.com:80/kubesphere/kubesphere/ks-installer:v3.1.1#" kubesphere-installer.yaml

# 3.请按照如下先后顺序安装（必须）
kubectl apply -f kubesphere-installer.yaml 
kubectl get pods -A

image-20211110231108730 image-20211110231233626

# 4.等待ks-installer容器运行完毕，执行
kubectl apply -f cluster-configuration.yaml

5.3、检查安装日志

# 检查安装日志等待安装成功
kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l app=ks-install -o jsonpath='{.items[0].metadata.name}') -f

如下图所示，则表示安装成功 image-20211111101337952

5.4、安装必要的插件

本次需要安装额外的几个插件

  1. KubeSphere日志系统
  2. KubeSphere DevOps
  3. KubeSphere kubeedge
# 1.编辑cluster-configuration.yaml
vim cluster-configuration.yaml

devops:
  enabled: true # 将“false”更改为“true”。

kubeedge:          
  enabled: true # 将“false”更改为“true”。

logging:
  enabled: true # 将“false”更改为“true”。

# 2.执行以下命令开始安装
kubectl apply -f cluster-configuration.yaml

# 3.监控安装过程
kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l app=ks-install -o jsonpath='{.items[0].metadata.name}') -f

如下图所示，表示安装成功 image-20211111102817757 image-20211111102801129

5.5、开放30881端口（重要--master节点操作）

kubectl -n kubesphere-system patch svc ks-apiserver -p '{"spec":{"type":"NodePort","ports":[{"port":80,"protocal":"TCP","targetPort":9090,"nodePort":30881}]}}'

image-20211115213927460

5.6、创建云平台的企业空间

  1. 登录kubesphere，输入http://10.168.59.60:30880/，端口号默认为30880，第一次进入需要修改初始密码为： MKcloud123 image-20211115214619362
  2. 进入企业空间，创建新的企业空间为mkcloud image-20211115214723424
  3. 进入企业空间mkcloud，创建项目mkcloud image-20211115214817599
  4. 进入项目选择默认设置即可 image-20211115214846424 image-20211115214912342 image-20211115214937388

5.7、kubesphere添加Harbor仓库

  1. 进入当前项目 image-20211118211440018
  2. 选择配置中心的密钥，选择添加密钥 image-20211118211533239
  3. 密钥名称填写为harbor，仓库地址填写域名加端口号 image-20211118211659229
  4. 添加成功会显示私有密钥 image-20211118211733125

6、卸载云平台环境

6.1、卸载K8S

kubeadm reset -f
modprobe -r ipip
lsmod
rm -rf ~/.kube/
rm -rf /etc/kubernetes/
rm -rf /etc/systemd/system/kubelet.service.d
rm -rf /etc/systemd/system/kubelet.service
rm -rf /usr/bin/kube*
rm -rf /etc/cni
rm -rf /opt/cni
rm -rf /var/lib/etcd
rm -rf /var/etcd
yum clean all
yum remove kube*

6.2、卸载docker

# 1.停止docker
sudo systemctl stop docker
# 2.查询安装过的包
yum list installed | grep docker
# 3.删除安装的软件包
yum -y remove docker*
# 4.删除镜像/容器等
rm -rf /var/lib/docker

7、目前遇见的BUG与解决方案

7.1、harbor仓库登录显示400错误

image-20211123200112617

Error response from daemon: login attempt to https://server.harbor.com/v2/ failed with status: 400 Bad Request

查询相关文档发现是nginx的配置出现了问题 Docker 登录返回 400 错误请求

#修改方式如下
#1.进入harbor仓库位置
cd /opt/package/software/harbor
#2.修改配置文件
vim ./common/config/portal/nginx.conf
#3.增加一个字段
http {
    client_body_temp_path /tmp/client_body_temp;
    proxy_temp_path /tmp/proxy_temp;
    fastcgi_temp_path /tmp/fastcgi_temp;
    uwsgi_temp_path /tmp/uwsgi_temp;
    scgi_temp_path /tmp/scgi_temp;
    large_client_header_buffers 4 1k;  #增加的
    
#4.重启nginx即可
docker ps 
#执行的结果e939b007b6ca   goharbor/harbor-core:v2.3.2          "/harbor/entrypoint.…"

docker restart e39629e9c2c4

7.2、单节点安装pod报错Pending

image-20220317164430599

# 当创建单机版的 k8s 时，这个时候 master 节点是默认不允许调度 pod 的，需要执行
kubectl taint nodes --all node-role.kubernetes.io/master-

7.3、kubesphere的api-server无法启动

api-server显示报错---无法申请资源，原因是docker的进程数不够，增加一下的配置重启docker就行

echo "
[Unit]
Description=Docker Application Container Engine
Documentation=https://docs.docker.com
# BindsTo=containerd.service
# After=network-online.target firewalld.service containerd.service
After=network-online.target firewalld.service
Wants=network-online.target
# Requires=docker.socket

[Service]
Type=notify
# the default is not to use systemd for cgroups because the delegate issues still
# exists and systemd currently does not support the cgroup feature set required
# for containers run by docker
# ExecStart=/usr/bin/dockerd -H fd:// --containerd=/run/containerd/containerd.sock
ExecStart=/usr/local/bin/dockerd
ExecReload=/bin/kill -s HUP $MAINPID
TasksMax=infinity
TimeoutSec=0
RestartSec=2
Restart=always

# Note that StartLimit* options were moved from "Service" to "Unit" in systemd 229.
# Both the old, and new location are accepted by systemd 229 and up, so using the old location
# to make them work for either version of systemd.
StartLimitBurst=3

# Note that StartLimitInterval was renamed to StartLimitIntervalSec in systemd 230.
# Both the old, and new name are accepted by systemd 230 and up, so using the old name to make
# this option work for either version of systemd.
StartLimitInterval=60s

# Having non-zero Limit*s causes performance problems due to accounting overhead
# in the kernel. We recommend using cgroups to do container-local accounting.
LimitNOFILE=infinity
LimitNPROC=infinity
LimitCORE=infinity

# Comment TasksMax if your systemd version does not support it.
# Only systemd 226 and above support this option.
# TasksMax=infinity

# set delegate yes so that systemd does not reset the cgroups of docker containers
Delegate=yes

# kill only the docker process, not all processes in the cgroup
KillMode=process

[Install]
WantedBy=multi-user.target
" > /etc/systemd/system/docker.service

# 重启docker
systemctl daemon-reload && systemctl restart docker

7.4、k8s cgroup 内存泄漏

centos7.6及其以下版本，造成内存泄漏

vim /boot/grub2/grub.cfg
# 在 ro crashkernel=auto 后面添加 cgroup.memory=nokmem 
# 重启电脑

img

附录----安装软件的版本

软件 版本
centos 7.7
docker 19.03.7
docker-compose 2.1.0
Harbor 2.1.5
kubernetes 1.19.0
kubesphere 3.1.1