【摘要】 kubernetes集群部署考必过小编为大家整理了关于kubernetes集群部署的信息，希望可以帮助到大家！

kubernetes集群部署

标签：group cidr control 保存无法 number date erro PFS

4. 部署Kubernetes集群

1. 节点信息

ip  主机名 角色  操作系统
192.168.157.130 master  主   centeos7
192.168.157.131 ode1    节点  Centos7
192.168.157.132 node2   节点  Centos7

2. 关闭防火墙相关

systemctl stop firewalld.service
systemctl stop iptables.service
systemctl disable firewalld.service
systemctl disable iptables.service

将 SELinux 设置为 permissive 模式(将其禁用)

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setenforce 0
sed -i ‘s/^SELINUX=enforcing$/SELINUX=disabled/‘ /etc/selinux/config

2. 安装docker

添加docker的yum仓库

tee /etc/yum.repos.d/docker.repo <<-‘EOF‘
[dockerrepo]
name=Docker Repository
baseurl=https://yum.dockerproject.org/repo/main/centos/$releasever/
enabled=1
gpgcheck=1
gpgkey=https://yum.dockerproject.org/gpg
EOF

安装docker

yum install -y docker-engine

启动docker

systemctl start docker

开启启动

systemctl enable docker

3. 安装kubelet, kubeadm, kubectl

kubeadm：用来初始化集群（Cluster）kubelet：运行在集群中的所有节点上，负责启动 pod 和容器。kubectl：这个是 Kubernetes 命令行工具。通过 kubectl 可以部署和管理应用，查看各种资源，创建、删除和更新各种组件。

安装这三个工具，为避免出现网络不可达错误，将谷歌镜像换成阿里云镜像

cat <<EOF > /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=http://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=0
repo_gpgcheck=0
gpgkey=http://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg http://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
exclude=kube*
EOF

使用yum安装

yum install -y kubelet kubeadm kubectl --disableexcludes=kubernetes

这种开机自启动

systemctl enable kubelet && systemctl start kubelet

4. 初始化master

注意：–pod-network-cidr=10.244.0.0/16 是 k8s 的网络插件所需要用到的配置信息，用来给 node 分配子网段。然后我们这边用到的网络插件是 flannel，就是这么配。

kubeadm init --pod-network-cidr=10.244.0.0/16

有如下的报错信息:

[[email protected] ~]# kubeadm init --pod-network-cidr=10.244.0.0/16
W0108 16:59:41.129123   31192 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)
W0108 16:59:41.129373   31192 version.go:102] falling back to the local client version: v1.17.0
W0108 16:59:41.129733   31192 validation.go:28] Cannot validate kube-proxy config - no validator is available
W0108 16:59:41.129757   31192 validation.go:28] Cannot validate kubelet config - no validator is available
[init] Using Kubernetes version: v1.17.0
[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: 17.05.0-ce. Latest validated version: 19.03
[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‘
error execution phase preflight: [preflight] Some fatal errors occurred:
[ERROR ImagePull]: failed to pull image k8s.gcr.io/kube-apiserver:v1.17.0: output: Error response from daemon: Get https://k8s.gcr.io/v1/_ping: dial tcp 108.177.97.82:443: getsockopt: connection refused
, error: exit status 1
[ERROR ImagePull]: failed to pull image k8s.gcr.io/kube-controller-manager:v1.17.0: output: Error response from daemon: Get https://k8s.gcr.io/v1/_ping: dial tcp 108.177.97.82:443: getsockopt: connection refused
, error: exit status 1
[ERROR ImagePull]: failed to pull image k8s.gcr.io/kube-scheduler:v1.17.0: output: Error response from daemon: Get https://k8s.gcr.io/v1/_ping: dial tcp 74.125.203.82:443: getsockopt: connection refused
, error: exit status 1
[ERROR ImagePull]: failed to pull image k8s.gcr.io/kube-proxy:v1.17.0: output: Error response from daemon: Get https://k8s.gcr.io/v1/_ping: dial tcp 74.125.203.82:443: getsockopt: connection refused
, error: exit status 1
[ERROR ImagePull]: failed to pull image k8s.gcr.io/pause:3.1: output: Error response from daemon: Get https://k8s.gcr.io/v1/_ping: dial tcp 74.125.203.82:443: getsockopt: connection refused
, error: exit status 1
[ERROR ImagePull]: failed to pull image k8s.gcr.io/etcd:3.4.3-0: output: Error response from daemon: Get https://k8s.gcr.io/v1/_ping: dial tcp 74.125.203.82:443: getsockopt: connection refused
, error: exit status 1
[ERROR ImagePull]: failed to pull image k8s.gcr.io/coredns:1.6.5: output: Error response from daemon: Get https://k8s.gcr.io/v1/_ping: dial tcp 74.125.203.82:443: getsockopt: connection refused
, error: exit status 1
[preflight] If you know what you are doing, you can make a check non-fatal with `--ignore-preflight-errors=...`
To see the stack trace of this error execute with --v=5 or higher

这个报错是因为国内gcr.io无法访问（谷歌自己的容器镜像仓库），我们需要通过阿里云镜像下载下来，重新打上标签来解决。

docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-apiserver:v1.17.0
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-controller-manager:v1.17.0
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-scheduler:v1.17.0
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.17.0
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.1
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:3.4.3-0
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/coredns:1.6.5

重新打回标签

docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-apiserver:v1.17.0 k8s.gcr.io/kube-apiserver:v1.17.0
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-controller-manager:v1.17.0 k8s.gcr.io/kube-controller-manager:v1.17.0
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-scheduler:v1.17.0 k8s.gcr.io/kube-scheduler:v1.17.0
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.17.0 k8s.gcr.io/kube-proxy:v1.17.0
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.1 k8s.gcr.io/pause:3.1
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:3.4.3-0 k8s.gcr.io/etcd:3.4.3-0
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/coredns:1.6.5 k8s.gcr.io/coredns:1.6.5

安装好相关镜像后，再次执行init命令后，kubeadm就能成功安装。在成功安装好后，kubeadm会提示其他节点要加入集群需要执行的命令，同时提供加入集群需要的token，这个要记录下来。

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 192.168.169.134:6443 --token nl8oq0.ly7ti8ibkg47t3kj   --discovery-token-ca-cert-hash sha256:42b7132d686c233cc931628043dbe7ea277284a967e959521ee03d0872ff64df

5. 配置kubectl

根据上面的提示，master节点需要新建一个新用户来执行相关命令

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

为了使用更加便捷，启用 kubectl 命令的自动补全功能。

echo "source <(kubectl completion bash)" >> ~/.bashrc

6. 安装Pod网络

Kubernetes 支持多种网络方案，这里我们使用 flannel。执行如下命令即可部署 flannel：

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

在我的虚拟机执行的时候会报错Network file descriptor is not connected，我是直接在宿主机访问该地址拿到文件内容，并保存上传到服务器/kube-flannel.yml，因为-f后面接文件名。执行的时候还是报了如下错

[[email protected] ~]# kubectl apply -f kube-flannel.yml
The connection to the server localhost:8080 was refused - did you specify the right host or port?

原因：kubenetes master没有与本机绑定，集群初始化的时候没有设置解决办法：执行以下命令

export KUBECONFIG=/etc/kubernetes/admin.conf
/etc/kubernetes/admin.conf这个文件主要是集群初始化的时候用来传递参数的

7. node节点安装和配置

1. 添加集群节点

在两个node节点上分别执行

kubeadm join 192.168.169.134:6443 --token nl8oq0.ly7ti8ibkg47t3kj   --discovery-token-ca-cert-hash sha256:42b7132d686c233cc931628043dbe7ea277284a967e959521ee03d0872ff64df

出现如下信息说明成功加入了集群

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. 安装镜像

在每一个node节点安装quay.io/coreos/flannel:v0.11.0-amd64（这个可以直接下载）、k8s.gcr.io/pause 和 k8s.gcr.io/kube-proxy 这三个镜像，其中后面两个镜像具体版本可以执行kubeadm config images list 查看一下：

[[email protected] ~]# kubeadm config images list

W0109 10:25:18.538307   10045 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)
W0109 10:25:18.539340   10045 version.go:102] falling back to the local client version: v1.17.0
W0109 10:25:18.540594   10045 validation.go:28] Cannot validate kubelet config - no validator is available
W0109 10:25:18.540636   10045 validation.go:28] Cannot validate kube-proxy config - no validator is available
k8s.gcr.io/kube-apiserver:v1.17.0
k8s.gcr.io/kube-controller-manager:v1.17.0
k8s.gcr.io/kube-scheduler:v1.17.0
k8s.gcr.io/kube-proxy:v1.17.0
k8s.gcr.io/pause:3.1
k8s.gcr.io/etcd:3.4.3-0
k8s.gcr.io/coredns:1.6.5

还是同样的方法，从阿里云下载，再重现打标签。


docker pull quay.io/coreos/flannel:v0.11.0-amd64
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.17.0
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.1
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.17.0 k8s.gcr.io/kube-proxy:v1.17.0
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.1 k8s.gcr.io/pause:3.1

3. 查看节点状态

在 master 节点上执行 kubectl get nodes 查看节点状态：如果节点状态处理NotReady，这是因为每个节点都需要启动若干组件，这些组件都是在 Pod 中运行，需要一段时间。查看Pod状态CrashLoopBackOff、ContainerCreating、Init:0/1 等都表明 Pod 没有就绪，只有 Running 才是就绪状态。

kubectl get pod --all-namespaces

查看Pod的具体情况

kubectl describe pod <Pod Name> --namespace=kube-system

当所有的 Pod 都处于 Running 状态后，可以发现所有的节点也就准备好了。至此 Kubernetes集群创建成功。

附录：

在node上执行kubeadm reset 可以断开node,然后重新join在master上执行kubeadm reset后可以重新init

kubernetes集群部署

标签：group cidr control 保存无法 number date erro PFS

以上就是kubernetes集群部署的内容，更多资讯请及时关注考必过网站，最新消息小编会第一时间发布，大家考试加油！