Kubernetes实战(九)-kubeadm安装k8s集群

这篇具有很好参考价值的文章主要介绍了Kubernetes实战(九)-kubeadm安装k8s集群。希望对大家有所帮助。如果存在错误或未考虑完全的地方,请大家不吝赐教,您也可以点击"举报违法"按钮提交疑问。

1 环境准备

1.1 主机信息

ip hostname
10.220.43.203 ops-master-1
10.220.43.204 ops-worker-1
10.220.43.205 ops-worker-2

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worker主机均需要设置。

2.1 设置主机名

# ops-master-1
hostnamectl set-hostname ops-master-1

# ops-worker-1
hostnamectl set-hostname ops-worker-1
# ops-worker-2
hostnamectl set-hostname ops-worker-1

2.2 设置hosts

$ vim /etc/hosts
#添加如下内容:
10.220.43.203 ops-master-1
10.220.43.204 ops-worker-1
10.220.43.205 ops-worker-2
#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
#开启网桥模式,可将网桥的流量传递给iptables链
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
#关闭ipv6协议
net.ipv6.conf.all.disable_ipv6=1
net.ipv4.ip_forward=1
EOF
$ sysctl --system

3 安装部署 

master/worker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-1.21.9 kubectl-1.21.9 kubeadm-1.21.9
# 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。

Kubernetes实战(九)-kubeadm安装k8s集群,# Kubernetes系列,kubernetes,容器,云原生

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 ,worker node节点不需要执行kubeadm init。

3.5.1 覆盖kubernetes的镜像地址

$ kubeadm config images list
I1216 16:58:50.892308    2873 version.go:254] remote version is much newer: v1.29.0; falling back to: stable-1.21
k8s.gcr.io/kube-apiserver:v1.21.14
k8s.gcr.io/kube-controller-manager:v1.21.14
k8s.gcr.io/kube-scheduler:v1.21.14
k8s.gcr.io/kube-proxy:v1.21.14
k8s.gcr.io/pause:3.4.1
k8s.gcr.io/etcd:3.4.13-0
k8s.gcr.io/coredns/coredns:v1.8.0

3.5.2 更改为阿里云的镜像地址

$ kubeadm config images list  --image-repository registry.aliyuncs.com/google_containers
I1216 16:59:02.975108    2912 version.go:254] remote version is much newer: v1.29.0; falling back to: stable-1.21
registry.aliyuncs.com/google_containers/kube-apiserver:v1.21.14
registry.aliyuncs.com/google_containers/kube-controller-manager:v1.21.14
registry.aliyuncs.com/google_containers/kube-scheduler:v1.21.14
registry.aliyuncs.com/google_containers/kube-proxy:v1.21.14
registry.aliyuncs.com/google_containers/pause:3.4.1
registry.aliyuncs.com/google_containers/etcd:3.4.13-0
registry.aliyuncs.com/google_containers/coredns:v1.8.0

3.5.3 拉取镜像

$ kubeadm config images pull  --image-repository registry.aliyuncs.com/google_containers
I1216 16:59:09.028597    2951 version.go:254] remote version is much newer: v1.29.0; falling back to: stable-1.21
[config/images] Pulled registry.aliyuncs.com/google_containers/kube-apiserver:v1.21.14
[config/images] Pulled registry.aliyuncs.com/google_containers/kube-controller-manager:v1.21.14
[config/images] Pulled registry.aliyuncs.com/google_containers/kube-scheduler:v1.21.14
[config/images] Pulled registry.aliyuncs.com/google_containers/kube-proxy:v1.21.14
[config/images] Pulled registry.aliyuncs.com/google_containers/pause:3.4.1
[config/images] Pulled registry.aliyuncs.com/google_containers/etcd:3.4.13-0
[config/images] Pulled registry.aliyuncs.com/google_containers/coredns:v1.8.0                                                   

3.5.4 初始化kubernetes

3.5.4.1 命令行初始化
3.5.4.1.1 高于1.24版本
$ 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
3.5.4.1.2 低于1.24版本
$ kubeadm init \
--apiserver-advertise-address=10.220.43.203 \
--image-repository registry.aliyuncs.com/google_containers \
--kubernetes-version v1.21.9 \
--service-cidr=192.168.0.0/16 \
--pod-network-cidr=172.25.0.0/16 \
--ignore-preflight-errors=all 
3.5.4.2 配置文件初始化
$ cat <<EOF > kubeadm-config.yaml
apiVersion: kubeadm.k8s.io/v1beta2
kind: ClusterConfiguration
kubernetesVersion: v1.20.4
controlPlaneEndpoint: "10.12.70.130:8443"  //vip地址
networking:
   podSubnet: "22.244.0.0/16"    //pod分配的地址段
   serviceSubnet: "22.96.0.0/12"   //service分配的地址段
 
EOF
$ kubeadm init --config=kubeadm-config.yaml --upload-certs
 3.5.4.3 参数解释
  • --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                                                        

3.6.2 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

刚部署完node状态是NotReady,等安装完网络插件后,状态会变为Ready。

3.7 安装网络插件

master节点执行,worker节点不需要执行。 

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

下载失败,将 raw.githubusercontent.com写入host。

$ vim /etc/hosts   
#在/etc/hosts增加以下这条
199.232.28.133 raw.githubusercontent.com
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: "172.25.0.0/16"
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 worker节点加入集群

 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 master节点加入集群

生成新的认证key

$ kubeadm init phase upload-certs --upload-certs
upload-certs] Storing the certificates in Secret "kubeadm-certs" in the "kube-system" Namespace
[upload-certs] Using certificate key:
a96e54087b299b962dae6321e519386fd9bdb1876a6cd4067c55484a0fe0c5e0
$ kubeadm join 10.220.43.211:16443 --token zobvuq.sqr2roc558g6esvj --discovery-token-ca-cert-hash sha256:b8dab5c214d3d6d3f804d0695a11a17a0d4245b1a145d8dbd8ccf9b47e8d73d7  --control-plane --certificate-key a96e54087b299b962dae6321e519386fd9bdb1876a6cd4067c55484a0fe0c5e0

3.10 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
ops-master-1   Ready    control-plane,master   29m     v1.21.9   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
ops-worker-1   Ready    <none>                 9m23s   v1.21.9   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
ops-worker-2   Ready    <none>                 9m25s   v1.21.9   10.220.43.205   <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文章来源地址https://www.toymoban.com/news/detail-757097.html

$ 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

到了这里,关于Kubernetes实战(九)-kubeadm安装k8s集群的文章就介绍完了。如果您还想了解更多内容,请在右上角搜索TOY模板网以前的文章或继续浏览下面的相关文章,希望大家以后多多支持TOY模板网!

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: 如若内容造成侵权/违法违规/事实不符,请点击违法举报进行投诉反馈,一经查实,立即删除!

领支付宝红包 赞助服务器费用

相关文章

  • Kubernetes(K8s)使用 kubeadm 方式搭建多 master 高可用 K8s 集群

    本篇主要针对上篇文章的单 master 节点的 K8s 集群上搭建多 master 节点集群 和 LB 负载均衡服务器。 Kubernetes(K8S)集群搭建基础入门教程 虚拟机 IP 地址: IP 操作系统 主机名称 192.168.2.121 centos7.9 k8s-master01 192.168.2.124 centos7.9 k8s-master02 192.168.2.125 centos7.9 k8s-node01 192.168.2.126 centos

    2023年04月26日
    浏览(42)
  • Kubernetes技术--使用kubeadm快速部署一个K8s集群

    这里我们配置一个 单master集群 。( 一个Master节点,多个Node节点 ) 1.硬件环境准备 一台或多台机器,操作系统 CentOS7.x-86_x64 。这里我们使用安装了CentOS7的三台虚拟机 硬件配置 : 2GB或更多RAM , 2个CPU或更多CPU , 硬盘30GB或更多 2.主机名称和IP地址规划 3. 初始化准备工作 (1).关

    2024年02月10日
    浏览(42)
  • 【云原生-K8s-1】kubeadm搭建k8s集群(一主两从)完整教程及kubernetes简介

    🍁 博主简介   🏅云计算领域优质创作者   🏅华为云开发者社区专家博主   🏅阿里云开发者社区专家博主 💊 交流社区: 运维交流社区 欢迎大家的加入!   Kubernetes(简称:k8s) 是Google在2014年6月开源的一个容器集群管理系统,使用Go语言开发,用于管理云平台中多

    2024年02月07日
    浏览(55)
  • 【Kubernetes部署篇】Kubeadm方式搭建K8s集群 1.26.0版本

    官方文档: 二进制下载地址 环境规划: pod网段:10.244.0.0/16 service网段:10.10.0.0/16 注意: pod和service网段不可冲突,如果冲突会导致K8S集群安装失败。 容器运行时本次使用containerd。 主机名 IP地址 操作系统 master-1 16.32.15.200 CentOS7.8 node-1 16.32.15.201 CentOS7.8 node-2 16.32.15.202 CentOS

    2024年02月10日
    浏览(38)
  • 【Kubernetes部署篇】Kubeadm方式搭建K8s集群 1.27.0版本

    官方文档: 二进制下载地址 环境规划: pod网段:10.244.0.0/16 service网段:10.10.0.0/16 注意: pod和service网段不可冲突,如果冲突会导致K8S集群安装失败。 主机名 IP地址 操作系统 master-1 16.32.15.200 CentOS7.8 node-1 16.32.15.201 CentOS7.8 node-2 16.32.15.202 CentOS7.8 1、关闭防火墙 2、配置域名解

    2024年02月08日
    浏览(67)
  • 一、kubeadm部署Kubernetes(k8s) 1.23.0多主高可用集群

    Kubernetes介绍 kubernetes(k8s)是2015年由Google公司基于Go语言编写的一款开源的容器集群编排系统,用于自动化容器的部署、扩缩容和管理; kubernetes(k8s)是基于Google内部的Borg系统的特征开发的一个版本,集成了Borg系统大部分优势; 官方地址:https://Kubernetes.io 代码托管平台:

    2024年03月25日
    浏览(54)
  • Kubernetes技术--使用kubeadm搭建高可用的K8s集群(贴近实际环境)

    1.高可用k8s集群架构(多master) 2.安装硬件要求 一台或多台机器,操作系统 CentOS7.x-86_x64 硬件配置:2GB或更多RAM,2个CPU或更多CPU,硬盘30GB或更多 注: 这里属于教学环境,所以使用三台虚拟机模拟实现。 3.部署规划 4.部署前准备 (1).关闭防火墙 (2).关闭selinux (3).关闭swap (4).根据规

    2024年02月10日
    浏览(38)
  • Kubeadm安装K8s集群

    一、硬件环境 准备3台Linux服务器,此处用Vmware虚拟机。 主机名 CPU 内存 k8smaster 2核 4G k8snode1 2核 4G k8snode2 2核 4G 二、系统前置准备 配置三台主机的hosts文件 设置主机名 关闭selinux、禁用swap分区 ipv4流量转发 关闭防火墙 同步三台服务器的时间 三、环境安装 Docker 安装 Docker卸载

    2024年02月13日
    浏览(29)
  • 使用kubeadm安装和设置Kubernetes(k8s)

    kubeadm是官方社区推出的一个用于快速部署kubernetes集群的工具。 这个工具能通过两条指令完成一个kubernetes集群的部署: 使用kubeadm方式搭建K8s集群主要分为以下几步 准备三台虚拟机,同时安装操作系统CentOS 7.x 对三个安装之后的操作系统进行初始化操作 在三个节点安装 dock

    2024年02月12日
    浏览(37)
  • centos安装部署Kubernetes(k8s)步骤使用kubeadm方式

    机器地址: 192.168.0.35 k8s-master 192.168.0.39 k8s-node1 192.168.0.116 k8s-node2 修改每台机器的名字 关闭防火墙和selinux 临时关闭selinux: 永久关闭: 修改selinux为disabled或者permissive 重启生效 配置本地解析 确保每个节点MAC地址和 product_uuid 的唯一性 同步时间 如果各机器上时间都没有问题

    2024年02月06日
    浏览(48)

觉得文章有用就打赏一下文章作者

支付宝扫一扫打赏

博客赞助

微信扫一扫打赏

请作者喝杯咖啡吧~博客赞助

支付宝扫一扫领取红包,优惠每天领

二维码1

领取红包

二维码2

领红包