Kubernetes 集群搭建

Author： F嘉阳
发布时间：October 20, 2019
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Categories：服务器学习

搭建方法分类

如果是搭建Kubernetes的学习环境，则可以直接使用minikube快速搭建单节点的Kubernetes环境，官方推荐使用kubeadm搭建Kubernetes集群生产环境

但kubeadm需要连接谷歌容器仓库获取镜像，在网络受限的情况下无法搭建成功，故有两种搭建方法：

服务器使用代理，代理所有的http和https连接，可以自由访问任意地址
使用阿里云镜像地址

本次采用第二种方式进行搭建

环境准备

本次宿主机为CentOS 7，结合3台virtual box虚拟机模拟集群环境，虚拟机使用Vagrant进行管理，vagrant安装比较简单，此处不再赘述

宿主机配置：

CPU：4C
RAM：8G

虚拟机配置

由于网络受限，vagrant默认拉取的操作系统文件地址不可访问，需要自行从官方下载镜像或者使用代理下载镜像，此处对此操作也不再赘述

三台虚拟机配置文件

# -*- mode: ruby -*-
# vi: set ft=ruby :

Vagrant.require_version ">= 1.6.0"

boxes = [
    {
        :name => "k8s-master",
        :eth1 => "192.168.205.120",
        :mem => "2048",
        :cpu => "2"
    },
    {
        :name => "k8s-node1",
        :eth1 => "192.168.205.121",
        :mem => "2048",
        :cpu => "1"
    },
    {
        :name => "k8s-node2",
        :eth1 => "192.168.205.122",
        :mem => "2048",
        :cpu => "1"
    }

]

Vagrant.configure(2) do |config|

  config.vm.box = "centos/7"
  boxes.each do |opts|
    config.vm.define opts[:name] do |config|
      config.vm.hostname = opts[:name]
      config.vm.provider "vmware_fusion" do |v|
        v.vmx["memsize"] = opts[:mem]
        v.vmx["numvcpus"] = opts[:cpu]
      end
      config.vm.provider "virtualbox" do |v|
        v.customize ["modifyvm", :id, "--memory", opts[:mem]]
        v.customize ["modifyvm", :id, "--cpus", opts[:cpu]]
      end
      config.vm.network :private_network, ip: opts[:eth1]
    end
  end
  config.vm.provision "shell", privileged: true, path: "./setup.sh"
end

所有虚拟机启动后都会执行./setup.sh脚本配置基础环境，脚本内容如下

#/bin/sh

sudo yum install -y vim telnet bind-utils wget yum-utils

sudo yum-config-manager \
    --add-repo \
    https://download.docker.com/linux/centos/docker-ce.repo
sudo yum -y install docker-ce-18.09.8 docker-ce-cli-18.09.8 containerd.io

if [ ! $(getent group docker) ];
then 
    sudo groupadd docker;
else
    echo "docker user group already exists"
fi

sudo gpasswd -a $USER docker
sudo systemctl restart docker

# open password auth for backup if ssh key doesn't work, bydefault, username=vagrant password=vagrant
sudo sed -i 's/PasswordAuthentication no/PasswordAuthentication yes/g' /etc/ssh/sshd_config
sudo systemctl restart sshd

sudomkdir /etc/yum.repos.d/bak && mv /etc/yum.repos.d/*.repo /etc/yum.repos.d/bak
sudowget -O /etc/yum.repos.d/CentOS-Base.repo http://mirrors.cloud.tencent.com/repo/centos7_base.repo
sudowget -O /etc/yum.repos.d/epel.repo http://mirrors.cloud.tencent.com/repo/epel-7.repo

yum clean all && yum makecache

sudo bash -c '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'

sudo wget https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo -O /etc/yum.repos.d/docker-ce.repo
sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
  "registry-mirrors": ["https://clayphwh.mirror.aliyuncs.com"]
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker

sudo setenforce 0

sudo yum install -y kubelet kubeadm kubectl

sudo bash -c 'cat <<EOF >  /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward=1
EOF'
sudo sysctl --system

sudo systemctl stop firewalld
sudo systemctl disable firewalld
sudo swapoff -a

sudo systemctl enable docker.service
sudo systemctl enable kubelet.service

脚本内已将K8S镜像均配置为阿里云镜像仓库，并配置了阿里云容器加速服务地址，更便于在国内拉取镜像

启动虚拟机

使用命令启动虚拟机

$ vagrant up

启动需要较长时间，若出现大量超时也请耐心等待

Loaded plugins: fastestmirror
Loading mirror speeds from cached hostfile
 * base: mirrors.aliyun.com
 * extras: mirrors.163.com
 * updates: mirrors.163.com
http://vault.centos.org/7.1.1503/os/x86_64/repodata/0e6e90965f55146ba5025ea450f822d1bb0267d0299ef64dd4365825e6bad995-c7-x86_64-comps.xml.gz: [Errno 12] Timeout on http://vault.centos.org/7.1.1503/os/x86_64/repodata/0e6e90965f55146ba5025ea450f822d1bb0267d0299ef64dd4365825e6bad995-c7-x86_64-comps.xml.gz: (28, 'Operation too slow. Less than 1000 bytes/sec transferred the last 30 seconds')
Trying other mirror.
http://vault.centos.org/7.1.1503/updates/x86_64/repodata/93b71f445d2ec2138d28152612f4fb29c8e76ee31f2666b964d88249b4e0a955-primary.sqlite.bz2: [Errno 12] Timeout on http://vault.centos.org/7.1.1503/updates/x86_64/repodata/93b71f445d2ec2138d28152612f4fb29c8e76ee31f2666b964d88249b4e0a955-primary.sqlite.bz2: (28, 'Operation too slow. Less than 1000 bytes/sec transferred the last 30 seconds')
Trying other mirror.
http://vault.centos.org/7.2.1511/os/x86_64/repodata/c6411f1cc8a000ed2b651b49134631d279abba1ec1f78e5dcca79a52d8c1eada-primary.sqlite.bz2: [Errno 12] Timeout on http://vault.centos.org/7.2.1511/os/x86_64/repodata/c6411f1cc8a000ed2b651b49134631d279abba1ec1f78e5dcca79a52d8c1eada-primary.sqlite.bz2: (28, 'Operation too slow. Less than 1000 bytes/sec transferred the last 30 seconds')
Trying other mirror.
...

启动完成后通过命令查看虚拟机状态

$ vagrant status
Current machine states:

k8s-master                running (virtualbox)
k8s-node1                 running (virtualbox)
k8s-node2                 running (virtualbox)

This environment represents multiple VMs. The VMs are all listed
above with their current state. For more information about a specific
VM, run `vagrant status NAME`.

K8S master节点初始化

进入主节点，查看环境是否已经配置完成

$ vagrant ssh k8s-master

执行以下三条语句查看是否有预期输出

[vagrant@k8s-master ~]$ sudo which kubeadm
/bin/kubeadm
[vagrant@k8s-master ~]$ sudo which kubelet
/bin/kubelet
[vagrant@k8s-master ~]$ sudo which kubectl
/bin/kubectl
[vagrant@k8s-master ~]$ sudo docker version
Client:
 Version:           18.09.8
 API version:       1.39
 Go version:        go1.10.8
 Git commit:        0dd43dd87f
 Built:             Wed Jul 17 17:40:31 2019
 OS/Arch:           linux/amd64
 Experimental:      false

Server: Docker Engine - Community
 Engine:
  Version:          18.09.8
  API version:      1.39 (minimum version 1.12)
  Go version:       go1.10.8
  Git commit:       0dd43dd
  Built:            Wed Jul 17 17:10:42 2019
  OS/Arch:          linux/amd64
  Experimental:     false

使用初始化命令，并指定拉取镜像地址为阿里云地址，同时指定容器网络地址和注册中心广播地址

$ sudo kubeadm init --pod-network-cidr 172.100.0.0/16 --image-repository registry.aliyuncs.com/google_containers --apiserver-advertise-address 192.168.205.120

输出如下即初始化完成

$ sudo kubeadm init --pod-network-cidr 172.100.0.0/16 --image-repository registry.aliyuncs.com/google_containers --apiserver-advertise-address 192.168.205.120
W1020 01:31:27.560129   20473 version.go:101] could not fetch a `Kubernetes`version from the internet: unable to get URL "https://dl.k8s.io/release/stable-1.txt": Get https://dl.k8s.io/release/stable-1.txt: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
W1020 01:31:27.560713   20473 version.go:102] falling back to the local client version: v1.16.2
[init] Using `Kubernetes`version: v1.16.2
[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/
[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 [k8s-master `kubernetes`kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 192.168.205.120]
[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 [k8s-master localhost] and IPs [192.168.205.120 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [k8s-master localhost] and IPs [192.168.205.120 127.0.0.1 ::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
[kubelet-check] Initial timeout of 40s passed.
[apiclient] All control plane components are healthy after 59.511578 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 k8s-master as control-plane by adding the label "node-role.kubernetes.io/master=''"
[mark-control-plane] Marking the node k8s-master as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: rod570.p67pymzbil4m6u8d
[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-proxy

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

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 192.168.205.120:6443 --token rod570.p67pymzbil4m6u8d \
    --discovery-token-ca-cert-hash sha256:8f4cb9d555c78d58befeb3cfa3f7537989aa599e53e4f1bae929d8cc7afd1476

kubectl 配置

拷贝kubectl配置

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

若不配置直接使用则报无法连接错误

[vagrant@k8s-master ~]$ kubectl get pod --all-namespaces
The connection to the server localhost:8080 was refused - did you specify the right host or port?

此时使用kubectl可查看k8s容器运行情况，输出如下则为初始化成功，启动由于未配置网络插件，故coredns一直处于Pending状态

[vagrant@k8s-master ~]$ kubectl get pod --all-namespaces
NAMESPACE     NAME                                 READY   STATUS    RESTARTS   AGE
kube-system   coredns-58cc8c89f4-c297b             0/1     Pending   0          81s
kube-system   coredns-58cc8c89f4-spzhj             0/1     Pending   0          81s
kube-system   etcd-k8s-master                      1/1     Running   0          39s
kube-system   kube-apiserver-k8s-master            1/1     Running   0          49s
kube-system   kube-controller-manager-k8s-master   1/1     Running   0          40s
kube-system   kube-proxy-xlb62                     1/1     Running   0          81s
kube-system   kube-scheduler-k8s-master            1/1     Running   0          51s

安装网络插件

网络插件有多个可选，可通过官网查看，此处选择安装flannel CNI网络插件

For flannel to work correctly, you must pass --pod-network-cidr=10.244.0.0/16 to kubeadm init.
Set /proc/sys/net/bridge/bridge-nf-call-iptables to 1 by running sysctl net.bridge.bridge-nf-call-iptables=1 to pass bridged IPv4 traffic to iptables’ chains. This is a requirement for some CNI plugins to work, for more information please see here.
Make sure that your firewall rules allow UDP ports 8285 and 8472 traffic for all hosts participating in the overlay network. see here .
Note that flannel works on amd64, arm, arm64, ppc64le and s390x under Linux. Windows (amd64) is claimed as supported in v0.11.0 but the usage is undocumented.
kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/2140ac876ef134e0ed5af15c65e414cf26827915/Documentation/kube-flannel.yml
For more information about flannel, see the CoreOS flannel repository on GitHub .

相关的网络配置已在脚本中写入，此时直接执行yml脚本即可

$ kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/2140ac876ef134e0ed5af15c65e414cf26827915/Documentation/kube-flannel.yml

再次查看容器运行情况，所有容器均已运行，则master节点配置完成

[vagrant@k8s-master ~]$ kubectl get pod --all-namespaces
NAMESPACE     NAME                                 READY   STATUS    RESTARTS   AGE
kube-system   coredns-58cc8c89f4-c297b             1/1     Running   0          5m17s
kube-system   coredns-58cc8c89f4-spzhj             1/1     Running   0          5m17s
kube-system   etcd-k8s-master                      1/1     Running   0          4m35s
kube-system   kube-apiserver-k8s-master            1/1     Running   0          4m45s
kube-system   kube-controller-manager-k8s-master   1/1     Running   0          4m36s
kube-system   kube-flannel-ds-amd64-6rchg          1/1     Running   0          3m50s
kube-system   kube-proxy-xlb62                     1/1     Running   0          5m17s
kube-system   kube-scheduler-k8s-master            1/1     Running   0          4m47s

配置worker节点

以k8s-node1为例，执行master初始化时提供的脚本即可加入k8s集群，输出如下则加入成功

[vagrant@k8s-node1 ~]$ sudo kubeadm join 192.168.205.120:6443 --token 8ry5oo.y48ksgurn103zq4h \
>     --discovery-token-ca-cert-hash sha256:ead07352591500c2cfe3321bf87d2e068790e16f2a7e0cc23541c864d24006d4
[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/
[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] Downloading configuration for the kubelet from the "kubelet-config-1.16" ConfigMap in the kube-system namespace
[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] Activating the kubelet service
[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.

稍等片刻进入master节点查看容器运行情况，会发现多了几个网络容器，属于预期情况

[vagrant@k8s-master ~]$ kubectl get pod --all-namespaces
NAMESPACE     NAME                                 READY   STATUS    RESTARTS   AGE
kube-system   coredns-58cc8c89f4-c297b             1/1     Running   0          6m28s
kube-system   coredns-58cc8c89f4-spzhj             1/1     Running   0          6m28s
kube-system   etcd-k8s-master                      1/1     Running   0          5m46s
kube-system   kube-apiserver-k8s-master            1/1     Running   0          5m56s
kube-system   kube-controller-manager-k8s-master   1/1     Running   0          5m47s
kube-system   kube-flannel-ds-amd64-6fwg5          1/1     Running   0          49s
kube-system   kube-flannel-ds-amd64-6rchg          1/1     Running   0          5m1s
kube-system   kube-flannel-ds-amd64-z4plh          1/1     Running   0          43s
kube-system   kube-proxy-cdcs4                     1/1     Running   0          49s
kube-system   kube-proxy-nlmbb                     1/1     Running   0          43s
kube-system   kube-proxy-xlb62                     1/1     Running   0          6m28s
kube-system   kube-scheduler-k8s-master            1/1     Running   0          5m58s

集群验证

在master节点中启动nginx容器测试集群情况

$ kubectl create deployment nginx --image=nginx

稍等片刻，输出如下则集群正常运行，k8s集群配置完成

[vagrant@k8s-master ~]$ kubectl get pod --all-namespaces
NAMESPACE     NAME                                 READY   STATUS    RESTARTS   AGE
default       nginx-86c57db685-2gkxm               1/1     Running   0          58s
kube-system   coredns-58cc8c89f4-c297b             1/1     Running   0          7m46s
kube-system   coredns-58cc8c89f4-spzhj             1/1     Running   0          7m46s
kube-system   etcd-k8s-master                      1/1     Running   0          7m4s
kube-system   kube-apiserver-k8s-master            1/1     Running   0          7m14s
kube-system   kube-controller-manager-k8s-master   1/1     Running   0          7m5s
kube-system   kube-flannel-ds-amd64-6fwg5          1/1     Running   0          2m7s
kube-system   kube-flannel-ds-amd64-6rchg          1/1     Running   0          6m19s
kube-system   kube-flannel-ds-amd64-z4plh          1/1     Running   0          2m1s
kube-system   kube-proxy-cdcs4                     1/1     Running   0          2m7s
kube-system   kube-proxy-nlmbb                     1/1     Running   0          2m1s
kube-system   kube-proxy-xlb62                     1/1     Running   0          7m46s
kube-system   kube-scheduler-k8s-master            1/1     Running   0          7m16s

Last modification：November 27th, 2019 at 10:11 pm

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Kubernetes 集群搭建

F嘉阳 • 2019 年 10 月 20 日

搭建方法分类

如果是搭建Kubernetes的学习环境，则可以直接使用minikube快速搭建单节点的Kubernetes环境，官方推荐使用kubeadm搭建Kubernetes集群生产环境

但kubeadm需要连接谷歌容器仓库获取镜像，在网络受限的情况下无法搭建成功，故有两种搭建方法：

服务器使用代理，代理所有的http和https连接，可以自由访问任意地址
使用阿里云镜像地址

本次采用第二种方式进行搭建

环境准备

本次宿主机为CentOS 7，结合3台virtual box虚拟机模拟集群环境，虚拟机使用Vagrant进行管理，vagrant安装比较简单，此处不再赘述

宿主机配置：

CPU：4C
RAM：8G

虚拟机配置

由于网络受限，vagrant默认拉取的操作系统文件地址不可访问，需要自行从官方下载镜像或者使用代理下载镜像，此处对此操作也不再赘述

三台虚拟机配置文件

# -*- mode: ruby -*-
# vi: set ft=ruby :

Vagrant.require_version ">= 1.6.0"

boxes = [
    {
        :name => "k8s-master",
        :eth1 => "192.168.205.120",
        :mem => "2048",
        :cpu => "2"
    },
    {
        :name => "k8s-node1",
        :eth1 => "192.168.205.121",
        :mem => "2048",
        :cpu => "1"
    },
    {
        :name => "k8s-node2",
        :eth1 => "192.168.205.122",
        :mem => "2048",
        :cpu => "1"
    }

]

Vagrant.configure(2) do |config|

  config.vm.box = "centos/7"
  boxes.each do |opts|
    config.vm.define opts[:name] do |config|
      config.vm.hostname = opts[:name]
      config.vm.provider "vmware_fusion" do |v|
        v.vmx["memsize"] = opts[:mem]
        v.vmx["numvcpus"] = opts[:cpu]
      end
      config.vm.provider "virtualbox" do |v|
        v.customize ["modifyvm", :id, "--memory", opts[:mem]]
        v.customize ["modifyvm", :id, "--cpus", opts[:cpu]]
      end
      config.vm.network :private_network, ip: opts[:eth1]
    end
  end
  config.vm.provision "shell", privileged: true, path: "./setup.sh"
end

所有虚拟机启动后都会执行./setup.sh脚本配置基础环境，脚本内容如下

#/bin/sh

sudo yum install -y vim telnet bind-utils wget yum-utils

sudo yum-config-manager \
    --add-repo \
    https://download.docker.com/linux/centos/docker-ce.repo
sudo yum -y install docker-ce-18.09.8 docker-ce-cli-18.09.8 containerd.io

if [ ! $(getent group docker) ];
then 
    sudo groupadd docker;
else
    echo "docker user group already exists"
fi

sudo gpasswd -a $USER docker
sudo systemctl restart docker

# open password auth for backup if ssh key doesn't work, bydefault, username=vagrant password=vagrant
sudo sed -i 's/PasswordAuthentication no/PasswordAuthentication yes/g' /etc/ssh/sshd_config
sudo systemctl restart sshd

sudomkdir /etc/yum.repos.d/bak && mv /etc/yum.repos.d/*.repo /etc/yum.repos.d/bak
sudowget -O /etc/yum.repos.d/CentOS-Base.repo http://mirrors.cloud.tencent.com/repo/centos7_base.repo
sudowget -O /etc/yum.repos.d/epel.repo http://mirrors.cloud.tencent.com/repo/epel-7.repo

yum clean all && yum makecache

sudo bash -c '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'

sudo wget https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo -O /etc/yum.repos.d/docker-ce.repo
sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
  "registry-mirrors": ["https://clayphwh.mirror.aliyuncs.com"]
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker

sudo setenforce 0

sudo yum install -y kubelet kubeadm kubectl

sudo bash -c 'cat <<EOF >  /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward=1
EOF'
sudo sysctl --system

sudo systemctl stop firewalld
sudo systemctl disable firewalld
sudo swapoff -a

sudo systemctl enable docker.service
sudo systemctl enable kubelet.service

脚本内已将K8S镜像均配置为阿里云镜像仓库，并配置了阿里云容器加速服务地址，更便于在国内拉取镜像

启动虚拟机

使用命令启动虚拟机

$ vagrant up

启动需要较长时间，若出现大量超时也请耐心等待

Loaded plugins: fastestmirror
Loading mirror speeds from cached hostfile
 * base: mirrors.aliyun.com
 * extras: mirrors.163.com
 * updates: mirrors.163.com
http://vault.centos.org/7.1.1503/os/x86_64/repodata/0e6e90965f55146ba5025ea450f822d1bb0267d0299ef64dd4365825e6bad995-c7-x86_64-comps.xml.gz: [Errno 12] Timeout on http://vault.centos.org/7.1.1503/os/x86_64/repodata/0e6e90965f55146ba5025ea450f822d1bb0267d0299ef64dd4365825e6bad995-c7-x86_64-comps.xml.gz: (28, 'Operation too slow. Less than 1000 bytes/sec transferred the last 30 seconds')
Trying other mirror.
http://vault.centos.org/7.1.1503/updates/x86_64/repodata/93b71f445d2ec2138d28152612f4fb29c8e76ee31f2666b964d88249b4e0a955-primary.sqlite.bz2: [Errno 12] Timeout on http://vault.centos.org/7.1.1503/updates/x86_64/repodata/93b71f445d2ec2138d28152612f4fb29c8e76ee31f2666b964d88249b4e0a955-primary.sqlite.bz2: (28, 'Operation too slow. Less than 1000 bytes/sec transferred the last 30 seconds')
Trying other mirror.
http://vault.centos.org/7.2.1511/os/x86_64/repodata/c6411f1cc8a000ed2b651b49134631d279abba1ec1f78e5dcca79a52d8c1eada-primary.sqlite.bz2: [Errno 12] Timeout on http://vault.centos.org/7.2.1511/os/x86_64/repodata/c6411f1cc8a000ed2b651b49134631d279abba1ec1f78e5dcca79a52d8c1eada-primary.sqlite.bz2: (28, 'Operation too slow. Less than 1000 bytes/sec transferred the last 30 seconds')
Trying other mirror.
...

启动完成后通过命令查看虚拟机状态

$ vagrant status
Current machine states:

k8s-master                running (virtualbox)
k8s-node1                 running (virtualbox)
k8s-node2                 running (virtualbox)

This environment represents multiple VMs. The VMs are all listed
above with their current state. For more information about a specific
VM, run `vagrant status NAME`.

K8S master节点初始化

进入主节点，查看环境是否已经配置完成

$ vagrant ssh k8s-master

执行以下三条语句查看是否有预期输出

[vagrant@k8s-master ~]$ sudo which kubeadm
/bin/kubeadm
[vagrant@k8s-master ~]$ sudo which kubelet
/bin/kubelet
[vagrant@k8s-master ~]$ sudo which kubectl
/bin/kubectl
[vagrant@k8s-master ~]$ sudo docker version
Client:
 Version:           18.09.8
 API version:       1.39
 Go version:        go1.10.8
 Git commit:        0dd43dd87f
 Built:             Wed Jul 17 17:40:31 2019
 OS/Arch:           linux/amd64
 Experimental:      false

Server: Docker Engine - Community
 Engine:
  Version:          18.09.8
  API version:      1.39 (minimum version 1.12)
  Go version:       go1.10.8
  Git commit:       0dd43dd
  Built:            Wed Jul 17 17:10:42 2019
  OS/Arch:          linux/amd64
  Experimental:     false

使用初始化命令，并指定拉取镜像地址为阿里云地址，同时指定容器网络地址和注册中心广播地址

$ sudo kubeadm init --pod-network-cidr 172.100.0.0/16 --image-repository registry.aliyuncs.com/google_containers --apiserver-advertise-address 192.168.205.120

输出如下即初始化完成

$ sudo kubeadm init --pod-network-cidr 172.100.0.0/16 --image-repository registry.aliyuncs.com/google_containers --apiserver-advertise-address 192.168.205.120
W1020 01:31:27.560129   20473 version.go:101] could not fetch a `Kubernetes`version from the internet: unable to get URL "https://dl.k8s.io/release/stable-1.txt": Get https://dl.k8s.io/release/stable-1.txt: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
W1020 01:31:27.560713   20473 version.go:102] falling back to the local client version: v1.16.2
[init] Using `Kubernetes`version: v1.16.2
[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/
[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 [k8s-master `kubernetes`kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 192.168.205.120]
[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 [k8s-master localhost] and IPs [192.168.205.120 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [k8s-master localhost] and IPs [192.168.205.120 127.0.0.1 ::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
[kubelet-check] Initial timeout of 40s passed.
[apiclient] All control plane components are healthy after 59.511578 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 k8s-master as control-plane by adding the label "node-role.kubernetes.io/master=''"
[mark-control-plane] Marking the node k8s-master as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: rod570.p67pymzbil4m6u8d
[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-proxy

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

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 192.168.205.120:6443 --token rod570.p67pymzbil4m6u8d \
    --discovery-token-ca-cert-hash sha256:8f4cb9d555c78d58befeb3cfa3f7537989aa599e53e4f1bae929d8cc7afd1476

kubectl 配置

拷贝kubectl配置

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

若不配置直接使用则报无法连接错误

[vagrant@k8s-master ~]$ kubectl get pod --all-namespaces
The connection to the server localhost:8080 was refused - did you specify the right host or port?

此时使用kubectl可查看k8s容器运行情况，输出如下则为初始化成功，启动由于未配置网络插件，故coredns一直处于Pending状态

[vagrant@k8s-master ~]$ kubectl get pod --all-namespaces
NAMESPACE     NAME                                 READY   STATUS    RESTARTS   AGE
kube-system   coredns-58cc8c89f4-c297b             0/1     Pending   0          81s
kube-system   coredns-58cc8c89f4-spzhj             0/1     Pending   0          81s
kube-system   etcd-k8s-master                      1/1     Running   0          39s
kube-system   kube-apiserver-k8s-master            1/1     Running   0          49s
kube-system   kube-controller-manager-k8s-master   1/1     Running   0          40s
kube-system   kube-proxy-xlb62                     1/1     Running   0          81s
kube-system   kube-scheduler-k8s-master            1/1     Running   0          51s

安装网络插件

网络插件有多个可选，可通过官网查看，此处选择安装flannel CNI网络插件

For flannel to work correctly, you must pass --pod-network-cidr=10.244.0.0/16 to kubeadm init.
Set /proc/sys/net/bridge/bridge-nf-call-iptables to 1 by running sysctl net.bridge.bridge-nf-call-iptables=1 to pass bridged IPv4 traffic to iptables’ chains. This is a requirement for some CNI plugins to work, for more information please see here.
Make sure that your firewall rules allow UDP ports 8285 and 8472 traffic for all hosts participating in the overlay network. see here .
Note that flannel works on amd64, arm, arm64, ppc64le and s390x under Linux. Windows (amd64) is claimed as supported in v0.11.0 but the usage is undocumented.
kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/2140ac876ef134e0ed5af15c65e414cf26827915/Documentation/kube-flannel.yml
For more information about flannel, see the CoreOS flannel repository on GitHub .

相关的网络配置已在脚本中写入，此时直接执行yml脚本即可

$ kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/2140ac876ef134e0ed5af15c65e414cf26827915/Documentation/kube-flannel.yml

再次查看容器运行情况，所有容器均已运行，则master节点配置完成

[vagrant@k8s-master ~]$ kubectl get pod --all-namespaces
NAMESPACE     NAME                                 READY   STATUS    RESTARTS   AGE
kube-system   coredns-58cc8c89f4-c297b             1/1     Running   0          5m17s
kube-system   coredns-58cc8c89f4-spzhj             1/1     Running   0          5m17s
kube-system   etcd-k8s-master                      1/1     Running   0          4m35s
kube-system   kube-apiserver-k8s-master            1/1     Running   0          4m45s
kube-system   kube-controller-manager-k8s-master   1/1     Running   0          4m36s
kube-system   kube-flannel-ds-amd64-6rchg          1/1     Running   0          3m50s
kube-system   kube-proxy-xlb62                     1/1     Running   0          5m17s
kube-system   kube-scheduler-k8s-master            1/1     Running   0          4m47s

配置worker节点

以k8s-node1为例，执行master初始化时提供的脚本即可加入k8s集群，输出如下则加入成功

[vagrant@k8s-node1 ~]$ sudo kubeadm join 192.168.205.120:6443 --token 8ry5oo.y48ksgurn103zq4h \
>     --discovery-token-ca-cert-hash sha256:ead07352591500c2cfe3321bf87d2e068790e16f2a7e0cc23541c864d24006d4
[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/
[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] Downloading configuration for the kubelet from the "kubelet-config-1.16" ConfigMap in the kube-system namespace
[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] Activating the kubelet service
[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.

稍等片刻进入master节点查看容器运行情况，会发现多了几个网络容器，属于预期情况

[vagrant@k8s-master ~]$ kubectl get pod --all-namespaces
NAMESPACE     NAME                                 READY   STATUS    RESTARTS   AGE
kube-system   coredns-58cc8c89f4-c297b             1/1     Running   0          6m28s
kube-system   coredns-58cc8c89f4-spzhj             1/1     Running   0          6m28s
kube-system   etcd-k8s-master                      1/1     Running   0          5m46s
kube-system   kube-apiserver-k8s-master            1/1     Running   0          5m56s
kube-system   kube-controller-manager-k8s-master   1/1     Running   0          5m47s
kube-system   kube-flannel-ds-amd64-6fwg5          1/1     Running   0          49s
kube-system   kube-flannel-ds-amd64-6rchg          1/1     Running   0          5m1s
kube-system   kube-flannel-ds-amd64-z4plh          1/1     Running   0          43s
kube-system   kube-proxy-cdcs4                     1/1     Running   0          49s
kube-system   kube-proxy-nlmbb                     1/1     Running   0          43s
kube-system   kube-proxy-xlb62                     1/1     Running   0          6m28s
kube-system   kube-scheduler-k8s-master            1/1     Running   0          5m58s

集群验证

在master节点中启动nginx容器测试集群情况

$ kubectl create deployment nginx --image=nginx

稍等片刻，输出如下则集群正常运行，k8s集群配置完成

[vagrant@k8s-master ~]$ kubectl get pod --all-namespaces
NAMESPACE     NAME                                 READY   STATUS    RESTARTS   AGE
default       nginx-86c57db685-2gkxm               1/1     Running   0          58s
kube-system   coredns-58cc8c89f4-c297b             1/1     Running   0          7m46s
kube-system   coredns-58cc8c89f4-spzhj             1/1     Running   0          7m46s
kube-system   etcd-k8s-master                      1/1     Running   0          7m4s
kube-system   kube-apiserver-k8s-master            1/1     Running   0          7m14s
kube-system   kube-controller-manager-k8s-master   1/1     Running   0          7m5s
kube-system   kube-flannel-ds-amd64-6fwg5          1/1     Running   0          2m7s
kube-system   kube-flannel-ds-amd64-6rchg          1/1     Running   0          6m19s
kube-system   kube-flannel-ds-amd64-z4plh          1/1     Running   0          2m1s
kube-system   kube-proxy-cdcs4                     1/1     Running   0          2m7s
kube-system   kube-proxy-nlmbb                     1/1     Running   0          2m1s
kube-system   kube-proxy-xlb62                     1/1     Running   0          7m46s
kube-system   kube-scheduler-k8s-master            1/1     Running   0          7m16s

Kubernetes 集群搭建

搭建方法分类

环境准备

虚拟机配置

启动虚拟机

K8S master节点初始化

kubectl 配置

安装网络插件

配置worker节点

集群验证

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Kubernetes 集群搭建

搭建方法分类

环境准备

虚拟机配置

启动虚拟机

K8S master节点初始化

kubectl 配置

安装网络插件

配置worker节点

集群验证