Kubernetes实战(九)-kubeadm安装k8s集群

news2024/10/6 18:20:48

1 环境准备

1.1 主机信息

iphostname
10.220.43.203master
10.220.43.204node1

1.2 系统信息

$ cat /etc/redhat-release 
Alibaba Cloud Linux (Aliyun Linux) release 2.1903 LTS (Hunting Beagle)

2 部署准备

master/与slave主机均需要设置。

2.1 设置主机名

# master
hostnamectl set-hostname master

# slave 
hostnamectl set-hostname slave

2.2  设置hosts

$ vim /etc/hosts
#添加如下内容:
10.220.43.203  master
10.220.43.204 slave
#保存退出,重新登录主机

 2.3 网络配置

# 桥接设置(master/node)

$ cat > /etc/sysctl.d/k8s.conf << EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
$ sysctl --system

3 安装部署 

master/slave均安装

3.1 安装docker

docker二进制安装参考:docker部署及常用命令-CSDN博客 

3.2 配置kubernetes加速yum源

为kubernetes添加国内阿里云YUM软件源

$ cat > /etc/yum.repos.d/kubernetes.repo << EOF
[k8s]
name=k8s
enabled=1
gpgcheck=0 
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
EOF

3.3 安装kubeadm/kubelet/kubectl

#版本可以选择自己要安装的版本号
$ yum install -y kubelet-1.25.0 kubectl-1.25.0 kubeadm-1.25.0
# 此时,还不能启动kubelet,因为此时配置还不能,现在仅仅可以设置开机自启动
$ systemctl enable kubelet

3.4 安装容器运行时

如果k8s版本低于1.24版,可以忽略此步骤。

由于1.24版本不能直接兼容docker引擎,
Docker Engine 没有实现 CRI, 而这是容器运行时在 Kubernetes 中工作所需要的。 为此,必须安装一个额外的服务cri-dockerd。 cri-dockerd 是一个基于传统的内置 Docker 引擎支持的项目, 它在 1.24 版本从 kubelet 中移除。

目前最新k8s版本为1.28.x。

需要在集群内每个节点上安装一个容器运行时以使Pod可以运行在上面。高版本Kubernetes要求使用符合容器运行时接口(CRI)的运行时。

以下是几款 Kubernetes 中几个常见的容器运行时的用法:

  • containerd
  • CRI-O
  • Docker Engine
  • Mirantis Container Runtime

以下是使用 cri-dockerd 适配器来将 Docker Engine 与 Kubernetes 集成。

3.4.1 安装cri-dockerd

$ wget https://github.com/Mirantis/cri-dockerd/releases/download/v0.2.6/cri-dockerd-0.2.6.amd64.tgz
$ tar -xf cri-dockerd-0.2.6.amd64.tgz
$ cp cri-dockerd/cri-dockerd /usr/bin/
$ chmod +x /usr/bin/cri-dockerd

3.4.2 配置启动服务

$ cat <<"EOF" > /usr/lib/systemd/system/cri-docker.service
> [Unit]
> Description=CRI Interface for Docker Application Container Engine
> Documentation=https://docs.mirantis.com
> After=network-online.target firewalld.service docker.service
> Wants=network-online.target
> Requires=cri-docker.socket
> [Service]
> Type=notify
> ExecStart=/usr/bin/cri-dockerd --network-plugin=cni --pod-infra-container-image=registry.aliyuncs.com/google_containers/pause:3.8
> ExecReload=/bin/kill -s HUP $MAINPID
> TimeoutSec=0
> RestartSec=2
> Restart=always
> StartLimitBurst=3
> StartLimitInterval=60s
> LimitNOFILE=infinity
> LimitNPROC=infinity
> LimitCORE=infinity
> TasksMax=infinity
> Delegate=yes
> KillMode=process
> [Install]
> WantedBy=multi-user.target
> EOF

主要是以下命令:ExecStart=/usr/bin/cri-dockerd --network-plugin=cni --pod-infra-container-image=http://registry.aliyuncs.com/google_containers/pause:3.8

pause容器的版本可以通过kubeadm config images list查看:

$ kubeadm config images list
W1210 17:27:44.009895   31608 version.go:104] could not fetch a Kubernetes version from the internet: unable to get URL "https://dl.k8s.io/release/stable-1.txt": Get "https://cdn.dl.k8s.io/release/stable-1.txt": context deadline exceeded (Client.Timeout exceeded while awaiting headers)
W1210 17:27:44.009935   31608 version.go:105] falling back to the local client version: v1.25.0
registry.k8s.io/kube-apiserver:v1.25.0
registry.k8s.io/kube-controller-manager:v1.25.0
registry.k8s.io/kube-scheduler:v1.25.0
registry.k8s.io/kube-proxy:v1.25.0
registry.k8s.io/pause:3.8
registry.k8s.io/etcd:3.5.4-0
registry.k8s.io/coredns/coredns:v1.9.3

3.4.3 ⽣成 socket ⽂件 

$ cat <<"EOF" > /usr/lib/systemd/system/cri-docker.socket
[Unit]
Description=CRI Docker Socket for the API
PartOf=cri-docker.service
[Socket]
ListenStream=%t/cri-dockerd.sock
SocketMode=0660
SocketUser=root
SocketGroup=docker
[Install]
WantedBy=sockets.target
EOF

3.4.4 启动 cri-docker 服务并配置开机启动 

$ systemctl daemon-reload
$ systemctl enable cri-docker
$ systemctl start cri-docker
$ systemctl is-active cri-docker

3.5 部署Kubernetes

master需要部署 ,slave node节点不需要执行kubeadm init。

创建kubeadm.yaml文件,内容如下:

kubeadm init \
--apiserver-advertise-address=10.220.43.203 \
--image-repository registry.aliyuncs.com/google_containers \
--kubernetes-version v1.25.0 \
--service-cidr=192.168.0.0/16 \
--pod-network-cidr=172.25.0.0/16 \
--ignore-preflight-errors=all \
--cri-socket unix:///var/run/cri-dockerd.sock
  • --apiserver-advertise-address=master节点IP
  • --pod-network-cidr=10.244.0.0/16,要与后面kube-flannel.yml里的ip一致也就是使用10.244.0.0/16不要改它。

输出:

[init] Using Kubernetes version: v1.25.0
[preflight] Running pre-flight checks
        [WARNING CRI]: container runtime is not running: output: time="2023-12-10T17:38:57+08:00" level=fatal msg="validate service connection: CRI v1 runtime API is not implemented for endpoint \"unix:///var/run/cri-dockerd.sock\": rpc error: code = Unimplemented desc = unknown service runtime.v1.RuntimeService"
, error: exit status 1
[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'
        [WARNING ImagePull]: failed to pull image registry.aliyuncs.com/google_containers/kube-apiserver:v1.25.0: output: time="2023-12-10T17:38:57+08:00" level=fatal msg="validate service connection: CRI v1 image API is not implemented for endpoint \"unix:///var/run/cri-dockerd.sock\": rpc error: code = Unimplemented desc = unknown service runtime.v1.ImageService"
, error: exit status 1
        [WARNING ImagePull]: failed to pull image registry.aliyuncs.com/google_containers/kube-controller-manager:v1.25.0: output: time="2023-12-10T17:38:57+08:00" level=fatal msg="validate service connection: CRI v1 image API is not implemented for endpoint \"unix:///var/run/cri-dockerd.sock\": rpc error: code = Unimplemented desc = unknown service runtime.v1.ImageService"
, error: exit status 1
        [WARNING ImagePull]: failed to pull image registry.aliyuncs.com/google_containers/kube-scheduler:v1.25.0: output: time="2023-12-10T17:38:57+08:00" level=fatal msg="validate service connection: CRI v1 image API is not implemented for endpoint \"unix:///var/run/cri-dockerd.sock\": rpc error: code = Unimplemented desc = unknown service runtime.v1.ImageService"
, error: exit status 1
        [WARNING ImagePull]: failed to pull image registry.aliyuncs.com/google_containers/kube-proxy:v1.25.0: output: time="2023-12-10T17:38:57+08:00" level=fatal msg="validate service connection: CRI v1 image API is not implemented for endpoint \"unix:///var/run/cri-dockerd.sock\": rpc error: code = Unimplemented desc = unknown service runtime.v1.ImageService"
, error: exit status 1
        [WARNING ImagePull]: failed to pull image registry.aliyuncs.com/google_containers/pause:3.8: output: time="2023-12-10T17:38:57+08:00" level=fatal msg="validate service connection: CRI v1 image API is not implemented for endpoint \"unix:///var/run/cri-dockerd.sock\": rpc error: code = Unimplemented desc = unknown service runtime.v1.ImageService"
, error: exit status 1
        [WARNING ImagePull]: failed to pull image registry.aliyuncs.com/google_containers/etcd:3.5.4-0: output: time="2023-12-10T17:38:57+08:00" level=fatal msg="validate service connection: CRI v1 image API is not implemented for endpoint \"unix:///var/run/cri-dockerd.sock\": rpc error: code = Unimplemented desc = unknown service runtime.v1.ImageService"
, error: exit status 1
        [WARNING ImagePull]: failed to pull image registry.aliyuncs.com/google_containers/coredns:v1.9.3: output: time="2023-12-10T17:38:58+08:00" level=fatal msg="validate service connection: CRI v1 image API is not implemented for endpoint \"unix:///var/run/cri-dockerd.sock\": rpc error: code = Unimplemented desc = unknown service runtime.v1.ImageService"
, error: exit status 1
[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 [kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local master] and IPs [192.168.0.1 10.220.43.203]
[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 [localhost master] and IPs [10.220.43.203 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [localhost master] and IPs [10.220.43.203 127.0.0.1 ::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
[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] Starting the kubelet
[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 28.001898 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config" 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 master as control-plane by adding the labels: [node-role.kubernetes.io/control-plane node.kubernetes.io/exclude-from-external-load-balancers]
[mark-control-plane] Marking the node master as control-plane by adding the taints [node-role.kubernetes.io/control-plane:NoSchedule]
[bootstrap-token] Using token: 3u2q8d.u899qmv8lsm7sxyz
[bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles
[bootstrap-token] Configured RBAC rules to allow Node Bootstrap tokens to get nodes
[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
[kubelet-finalize] Updating "/etc/kubernetes/kubelet.conf" to point to a rotatable kubelet client certificate and key
[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

Alternatively, if you are the root user, you can run:

  export KUBECONFIG=/etc/kubernetes/admin.conf

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 10.220.43.203:6443 --token 3u2q8d.u899qmv8lsm7sxyz \
        --discovery-token-ca-cert-hash sha256:d7b2a47417fbff13e11a50ae92aaa0666448a92eb4c8deaaae9e9aa5c0cbc930 
这里是通过kubeadm init安装,所以执行后会下载相应的docker镜像,一般会发现在控制台卡着不动很久,这时就是在下载镜像,可以使用docker images命令查看是不是有新的镜像增加。

3.6 测试kubectl工具

master/slave均执行。

kubeadm安装好后,控制台也会有提示执行以下命令,照着执行(也就是第11步最后控制台输出的)

3.6.1 配置kubeconfig

master执行。

$ mkdir -p $HOME/.kube
$ sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
$ sudo chown $(id -u):$(id -g) $HOME/.kube/config
$ scp /etc/kubernetes/admin.conf  10.220.43.204:/etc/kubernetes
root@10.220.43.204's password: 
admin.conf               100% 5641    19.2MB/s   00:00                                                        

slave执行。 

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

3.6.2 配置变量

$ vim /etc/profile
#加入以下变量
export KUBECONFIG=/etc/kubernetes/admin.conf
$ source /etc/profile

3.6.3 测试kubectl命令

$ kubectl get nodes -o wide
NAME     STATUS     ROLES           AGE   VERSION   INTERNAL-IP     EXTERNAL-IP   OS-IMAGE                                                         KERNEL-VERSION            CONTAINER-RUNTIME
master   NotReady   control-plane   21m   v1.25.0   10.220.43.203   <none>        Alibaba Cloud Linux (Aliyun Linux) 2.1903 LTS (Hunting Beagle)   4.19.91-27.6.al7.x86_64   docker://20.10.21

一般来说状态先会是NotReady ,可能程序还在启动中,过一会再看看就会变成Ready

3.7 安装网络插件 

常用的cni网络插件有calico和flannel,两者区别为:

  • flannel不支持复杂的网络策略
  • calico支持网络策略

3.7.1 安装Pod CNI网络插件flannel

master/slave均执行 

$ kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
namespace/kube-flannel created
clusterrole.rbac.authorization.k8s.io/flannel created
clusterrolebinding.rbac.authorization.k8s.io/flannel created
serviceaccount/flannel created
configmap/kube-flannel-cfg created
daemonset.apps/kube-flannel-ds created

报错:The connection to the server http://raw.githubusercontent.com was refused - did you specify the right host or port?
原因:国外资源访问不了
解决办法:host配置可以访问的ip

vim /etc/hosts   
#在/etc/hosts增加以下这条
199.232.28.133 raw.githubusercontent.com

重新执行上面命令,便可成功安装!

3.7.2 部署Pod CNI网络插件calico

官网:About Calico | Calico Documentation

3.7.2.1 下载calico.yaml文件 
$ curl https://raw.githubusercontent.com/projectcalico/calico/v3.26.1/manifests/calico.yaml -O
3.7.2.2 拉取calico镜像
$ grep -w image calico.yaml| uniq 
          image: docker.io/calico/cni:v3.26.1
          image: docker.io/calico/node:v3.26.1
          image: docker.io/calico/kube-controllers:v3.26.1
$ docker pull docker.io/calico/cni:v3.26.1
$ docker pull docker.io/calico/node:v3.26.1
$ docker pull docker.io/calico/kube-controllers:v3.26.1
3.7.2.3 修改calico网段信息

修改calico.yaml 文件中CALICO_IPV4POOL_CIDR的IP段要和kubeadm初始化时候的pod网段一致,注意格式要对齐,不然会报错。

$ vim calico.yaml            
            - name: CALICO_IPV4POOL_CIDR
              value: "172.16.0.0/16"
3.7.2.4 加载calico.yaml文件 
$ kubectl apply -f calico.yaml
poddisruptionbudget.policy/calico-kube-controllers configured
serviceaccount/calico-kube-controllers unchanged
serviceaccount/calico-node unchanged
serviceaccount/calico-cni-plugin unchanged
configmap/calico-config unchanged
customresourcedefinition.apiextensions.k8s.io/bgpconfigurations.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/bgpfilters.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/bgppeers.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/blockaffinities.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/caliconodestatuses.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/clusterinformations.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/felixconfigurations.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/globalnetworkpolicies.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/globalnetworksets.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/hostendpoints.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/ipamblocks.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/ipamconfigs.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/ipamhandles.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/ippools.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/ipreservations.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/kubecontrollersconfigurations.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/networkpolicies.crd.projectcalico.org configured
customresourcedefinition.apiextensions.k8s.io/networksets.crd.projectcalico.org configured
clusterrole.rbac.authorization.k8s.io/calico-kube-controllers unchanged
clusterrole.rbac.authorization.k8s.io/calico-node unchanged
clusterrole.rbac.authorization.k8s.io/calico-cni-plugin unchanged
clusterrolebinding.rbac.authorization.k8s.io/calico-kube-controllers unchanged
clusterrolebinding.rbac.authorization.k8s.io/calico-node unchanged
clusterrolebinding.rbac.authorization.k8s.io/calico-cni-plugin unchanged

3.8 slave节点加入master

此步骤需要用到第3.5 部署Kubernetes控制台输出内容:


kubeadm join 10.220.43.203:6443 --token 3u2q8d.u899qmv8lsm7sxyz \
        --discovery-token-ca-cert-hash sha256:d7b2a47417fbff13e11a50ae92aaa0666448a92eb4c8deaaae9e9aa5c0cbc930 

加入命令为:

kubeadm join 10.220.43.203:6443 --token 3u2q8d.u899qmv8lsm7sxyz \
	--discovery-token-ca-cert-hash sha256:d7b2a47417fbff13e11a50ae92aaa0666448a92eb4c8deaaae9e9aa5c0cbc930 \
 --ignore-preflight-errors=all \
--cri-socket unix:///var/run/cri-dockerd.sock
  • --ignore-preflight-errors=all 
  • --cri-socket unix:///var/run/cri-dockerd.sock

这两行一定要加上不然就会报各种错:

[preflight] Running pre-flight checks
error execution phase preflight: [preflight] Some fatal errors occurred:
[ERROR CRI]: container runtime is not running: output: time="2023-08-31T16:42:23+08:00" level=fatal msg="validate service connection: CRI v1 runtime API is not implemented for endpoint \"unix:///var/run/cri-dockerd.sock\": rpc error: code = Unimplemented desc = unknown service runtime.v1.RuntimeService"
, 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
Found multiple CRI endpoints on the host. Please define which one do you wish to use by setting the 'criSocket' field in the kubeadm configuration file: unix:///var/run/containerd/containerd.sock, unix:///var/run/cri-dockerd.sock
To see the stack trace of this error execute with --v=5 or higher

3.9 验证

master节点:

$ kubectl get nodes -o wide
NAME     STATUS   ROLES           AGE   VERSION   INTERNAL-IP     EXTERNAL-IP   OS-IMAGE                                                         KERNEL-VERSION            CONTAINER-RUNTIME
master   Ready    control-plane   49m   v1.25.0   10.220.43.203   <none>        Alibaba Cloud Linux (Aliyun Linux) 2.1903 LTS (Hunting Beagle)   4.19.91-27.6.al7.x86_64   docker://20.10.21
slave    Ready    <none>          10m   v1.25.0   10.220.43.204   <none>        Alibaba Cloud Linux (Aliyun Linux) 2.1903 LTS (Hunting Beagle)   4.19.91-27.6.al7.x86_64   docker://20.10.21

slavea节点:

$ kubectl get nodes -o wide 
NAME     STATUS   ROLES           AGE   VERSION   INTERNAL-IP     EXTERNAL-IP   OS-IMAGE                                                         KERNEL-VERSION            CONTAINER-RUNTIME
master   Ready    control-plane   50m   v1.25.0   10.220.43.203   <none>        Alibaba Cloud Linux (Aliyun Linux) 2.1903 LTS (Hunting Beagle)   4.19.91-27.6.al7.x86_64   docker://20.10.21
slave    Ready    <none>          11m   v1.25.0   10.220.43.204   <none>        Alibaba Cloud Linux (Aliyun Linux) 2.1903 LTS (Hunting Beagle)   4.19.91-27.6.al7.x86_64   docker://20.10.21

4 常见使用问题

4.1 K8S在kubeadm init后,没有记录kubeadm join如何查询?

#再生成一个token即可
kubeadm token create --print-join-command
#下在的命令可以查看历史的token
kubeadm token list

4.2 node节点kubeadm join失败后,要重新join怎么办?

#再生成一个token即可
kubeadm token create --print-join-command
#下在的命令可以查看历史的token
kubeadm token list

4.3 重启kubelet

systemctl daemon-reload
systemctl restart kubelet

4.4 查询系统组件

#查询节点
kubectl get nodes
#查询pods 一般要带上"-n"即命名空间。不带等同  -n dafault
kubectl get pods -n kube-system

5 异常问题处理

5.1 kubeadm init报错

[root@k8s centos]# kubeadm init
I1205 06:44:01.459391   12097 version.go:94] 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)
I1205 06:44:01.459549   12097 version.go:95] falling back to the local client version: v1.13.0
[init] Using Kubernetes version: v1.13.0
[preflight] Running pre-flight checks
        [WARNING Service-Docker]: docker service is not enabled, please run 'systemctl enable docker.service'
        [WARNING Hostname]: hostname "k8s.novalocal" could not be reached
        [WARNING Hostname]: hostname "k8s.novalocal": lookup k8s.novalocal on 10.32.148.99:53: no such host
        [WARNING Service-Kubelet]: kubelet service is not enabled, please run 'systemctl enable kubelet.service'
error execution phase preflight: [preflight] Some fatal errors occurred:
        [ERROR FileContent--proc-sys-net-bridge-bridge-nf-call-iptables]: /proc/sys/net/bridge/bridge-nf-call-iptables contents are not set to 1
[preflight] If you know what you are doing, you can make a check non-fatal with `--ignore-preflight-errors=...`

5.1.1 网络设置问题

5.1.1.1 错误内容
/proc/sys/net/bridge/bridge-nf-call-iptables contents are not set to 1
5.1.1.2 解决方法
$ echo 1 > /proc/sys/net/bridge/bridge-nf-call-iptables

5.1.2 Enable docker

5.1.2.1  错误内容
[WARNING Service-Docker]: docker service is not enabled, please run 'systemctl enable docker.service'
5.1.2.2 解决方法
$ systemctl enable docker.service

5.1.3 hostname问题 

5.1.3.1 错误内容
[WARNING Hostname]: hostname "slave" could not be reached
[WARNING Hostname]: hostname "slave": lookup slave on 10.32.148.99:53: no such host
5.1.3.2 解决方法

1)修改主机名

$ hostnamectl set-hostname slave

2)更改/etc/hostname

$ echo k8s > /etc/hostname

5.1.4 Enable kubelet

5.1.4.1 错误内容
[WARNING Service-Kubelet]: kubelet service is not enabled, please run 'systemctl enable kubelet.service'
5.1.4.2 错误内容 
$ systemctl enable kubelet.service

6 配置kubectl命令tab键自动补全 

$ kubectl --help | grep bash
  completion    Output shell completion code for the specified shell (bash or zsh)

添加source <(kubectl completion bash)到/etc/profile,并使配置生效:

$ cat /etc/profile | head -2
# /etc/profile
source <(kubectl completion bash)

$ source /etc/profile

验证kubectl是否可以自动补全。

$ kubectl get nodes 
NAME           STATUS   ROLES                  AGE   VERSION
ops-master-1   Ready    control-plane,master   33m   v1.21.0
ops-worker-1   Ready    <none>                 30m   v1.21.0
ops-worker-2   Ready    <none>                 30m   v1.21.0

#注意:需要bash-completion-2.1-6.el7.noarch包,不然不能自动补全命令

$ rpm -qa | grep bash
bash-completion-2.1-6.el7.noarch
bash-4.2.46-30.el7.x86_64
bash-doc-4.2.46-30.el7.x86_64

本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如若转载,请注明出处:http://www.coloradmin.cn/o/1307874.html

如若内容造成侵权/违法违规/事实不符,请联系多彩编程网进行投诉反馈,一经查实,立即删除!

相关文章

2023年12月14日 十二生肖 今日运势

小运播报&#xff1a;2023年12月14日&#xff0c;星期四&#xff0c;农历十一月初二 &#xff08;癸卯年甲子月丙午日&#xff09;&#xff0c;法定工作日。 红榜生肖&#xff1a;羊、狗、虎 需要注意&#xff1a;牛、马、鼠 喜神方位&#xff1a;西南方 财神方位&#xff…

004 Windows NTFS文件夹权限

一、NTFS文件权限&#xff1a; NTFS&#xff08;New Technology File System&#xff09;是Windows NT内核的系列操作系统支持的、一个特别为网络和磁盘配额、文件加密等管理安全特性设计的磁盘格式&#xff0c;提供长文件名、数据保护和恢复&#xff0c;能通过目录和文件许可…

实操Nginx(4层代理+7层代理)+Tomcat多实例部署,实现负载均衡和动静分离

目录 前言 一、tomcat多实例部署 步骤一&#xff1a;先安装jdk&#xff0c;设置jdk的环境变量&#xff0c;验证是否安装完成&#xff08;192.168.20.8&#xff09; 步骤二&#xff1a;安装tomcat&#xff08;192.168.20.18&#xff09; 步骤三&#xff1a;安装tomcat多实例…

微服务中如何保证接口的安全性?[基于DDD和微服务的开发实战]

大家好&#xff0c;我是飘渺。如果你的微服务需要向第三方开放接口&#xff0c;如何确保你提供的接口是安全的呢&#xff1f; 1. 什么是安全接口 通常来说&#xff0c;要将暴露在外网的 API 接口视为安全接口&#xff0c;需要实现防篡改和防重放的功能。 1.1 什么是篡改问题…

【Linux】多线程编程

目录 1. 线程基础知识 2. 线程创建 3. 线程ID&#xff08;TID&#xff09; 4. 线程终止 5. 线程取消 6. 线程等待 7. 线程分离 8. 线程互斥 8.1 初始化互斥量 8.2 销毁互斥量 8.3 互斥量加锁和解锁 9. 可重入和线程安全 10. 线程同步之条件变量 10.1 初始化条件变…

k8s安装Ingress-Nginx

目前&#xff0c;DHorse(https://gitee.com/i512team/dhorse)只支持Ingress-nginx的Ingress实现&#xff0c;下面介绍Ingress-nginx的安装过程。 下载安装文件 首先&#xff0c;需要匹配Ingress-nginx版本和kubernetes版本。 在https://github.com/kubernetes/ingress-nginx可…

【UE5 Niagara】烟雾弹效果

效果 步骤 1. 新建一个工程&#xff0c;创建Basic关卡 2. 新建一个Actor蓝图&#xff0c;这里命名为“BP_SmokeBomb” 打开“BP_SmokeBomb”&#xff0c;添加一个静态网格体和一个发射物移动组件&#xff0c;静态网格体使用圆柱模型 选中发射物移动组件&#xff0c;设置初始速…

XSS防御:内容安全策略 CSP工作原理、配置技巧与最佳实践

前言 公司部门安全合规改造计划&#xff0c;要求所有的Web站点统一添加CSP规则。对于CSP机制我只是之前在应付面试的时候背过相关的概念&#xff0c;并没有真正在项目中实践过。所以希望借助本次改造任务好好理解并实践CSP机制。 什么是CSP CSP的全称是 Content Security Po…

算法通关村第十三关—数字与数学高频问题(白银)

数字与数学高频问题 一、数组实现加法专题 1.1 数组实现整数加法 先看一个用数组实现逐个加一的问题。LeetCode66.具体要求是由整数组成的非空数组所表示的非负整数&#xff0c;在其基础上加一。这里最高位数字存放在数组的首位&#xff0c;数组中每个元素只存储单个数字。并且…

TrustGeo代码理解(二)test.py

代码链接&#xff1a;https://github.com/ICDM-UESTC/TrustGeo 一、加载检查点&#xff08;checkpoint&#xff09;并进行测试 # -*- coding: utf-8 -*-"""load checkpoint and then test """ 该脚本的目的是加载之前训练过的模型的检查点&am…

Visual Studio使用Web Deploy发布.NET Web应用到指定服务器的IIS中

前言 今天要讲的是在Window 2008 R2版本的服务器下如何配置Web Deploy&#xff0c;和Visual Studio使用Web Deploy发布.NET Web应用到指定服务器的IIS中。 因为历史原因项目只能使用这个版本的服务器&#xff0c;当然使用其他服务器版本配置流程也是一样的。 Web Deploy介绍 …

c语言结构体调用格式与对齐

1.声明形式&#xff1a; struct 结构体名字 { 结构体成员 }结构体变量名&#xff1b; 2.赋值方法 3.结构体对齐&#xff1a; 1.起始偏移量&#xff1a;默认结构体第一个元素对齐0起始偏移量&#xff0c;第一个元素占一个字节&#xff0c;此时偏移量为1. 2.标准数&#xff…

数据结构之Map/Set讲解+硬核源码剖析

&#x1f495;"活着是为了活着本身而活着"&#x1f495; 作者&#xff1a;Mylvzi 文章主要内容&#xff1a;数据结构之Map/Set讲解硬核源码剖析 一.搜索树 1.概念 二叉搜索树又叫二叉排序树&#xff0c;他或者是一颗空树&#xff0c;或者是具有以下性质的树 若它…

现代雷达车载应用——第2章 汽车雷达系统原理 2.4节

经典著作&#xff0c;值得一读&#xff0c;英文原版下载链接【免费】ModernRadarforAutomotiveApplications资源-CSDN文库。 2.4 雷达波形和信号处理 对于连续波雷达来说&#xff0c;波形决定了其基本信号处理流程以及一些关键功能。本节将以FMCW波形为例&#xff0c;讨论信号…

【深度学习】Pytorch 系列教程(一):PyTorch数据结构:1、Tensor(张量)及其维度(Dimensions)、数据类型(Data Types)

文章目录 一、前言二、实验环境三、PyTorch数据结构0、分类1、Tensor&#xff08;张量&#xff09;1. 维度&#xff08;Dimensions&#xff09;0维&#xff08;标量&#xff09;1维&#xff08;向量&#xff09;2维&#xff08;矩阵&#xff09;3维张量 2. 数据类型&#xff08…

预测性维护对制造企业设备管理的作用

制造企业设备管理和维护对于生产效率和成本控制至关重要。然而&#xff0c;传统的维护方法往往无法准确预测设备故障&#xff0c;导致生产中断和高额维修费用。为了应对这一挑战&#xff0c;越来越多的制造企业开始采用预测性维护技术。 预测性维护是通过传感器数据、机器学习和…

06-React组件 Redux React-Redux

React组件化&#xff08;以Ant-Design为例&#xff09; 组件化编程&#xff0c;只需要去安装好对应的组件&#xff0c;然后通过各式各样的组件引入&#xff0c;实现快速开发 我们这里学习的是 Ant-design &#xff08;应该是这样&#xff09;&#xff0c;它有很多的组件供我们…

ConcurrentHashMap并发

ConcurrentHashMap 并发 概述 jdk1.7概述 ConcurrentHashMap我们通过名称也知道它也是一个HashMap, 但是它底层JDK1.7与1.8的实现原理并不相同 在1.7中它内部维护一个Segment[]的数组, 加载因子0.75, 在创建一个长度为2的小数组HashEntry[], 在0索引处创建 根据键的哈希值计…

【强化学习-读书笔记】有限马尔可夫决策过程

参考 Reinforcement Learning, Second Edition An Introduction By Richard S. Sutton and Andrew G. BartoMDP 是强化学习问题在数学上的理想化形式&#xff0c;因为在这个框架下我们可以进行精确的理论说明 智能体与环境的交互 智能体与环境交互&#xff0c;会得到轨迹&…

【教3妹学编程-算法题】消除相邻近似相等字符

插&#xff1a; 前些天发现了一个巨牛的人工智能学习网站&#xff0c;通俗易懂&#xff0c;风趣幽默&#xff0c;忍不住分享一下给大家。点击跳转到网站。 坚持不懈&#xff0c;越努力越幸运&#xff0c;大家一起学习鸭~~~ 3妹&#xff1a;好冷啊&#xff0c; 冻得瑟瑟发抖啦 2…