1. 程式人生 > 實用技巧 >使用kubeadm安裝k8s叢集v1.20.1

使用kubeadm安裝k8s叢集v1.20.1

一、安裝環境準備

1.機器列表

主機名 IP 作業系統 角色 安裝軟體
master 192.168.0.100 CentOS 7 管理節點

docker
kube-apiserver
kube-schduler
kube-controller-manager
kubelet
flannel

node1 192.168.0.101 CentOS 7 工作節點

docker
kubelet
kube-proxy
flannel

node2 192.168.0.102 CentOS 7 工作節點

docker
kubelet
kube-proxy
flannel

2.環境初始化

注意:以下操作在三臺機器上都要執行

2.1關閉防火牆及selinux

systemctl stop firewalld
systemctl disable firewalld
setenforce 0
sed -i 's/=enforcing/=disabled/g' /etc/selinux/config

2.2關閉swap分割槽

swapoff -a #臨時
sed -i '/swap/s/^/#/' /etc/fstab #永久

預設情況下,kubelet不允許所在的主機存在交換分割槽,後期規劃的時候,可以考慮在系統安裝的時候不建立交換分割槽,針對已經存在交換分割槽的可以設定忽略禁止使 用swap的限制,不然無法啟動kubelet。一般直接禁用swap就可以了,不需要執行此步驟。

vim /etc/sysconfig/kubelet
KUBELET_EXTRA_ARGS="--fail-swap-on=false"

2.3新增yum倉庫

docker-ce倉庫

wget  https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

k8s倉庫

cat /etc/yum.repos.d/kubernetes.repo 
[kubernetes]
name=Kubernetes Repo
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
enabled=1

2.4安裝docker和kubeadm

預設安裝最新版,也可以手動指定版本,如kubelet-1.20.1

yum install docker-ce kubelet kubeadm kubectl -y

2.5啟動docker和kubelet

systemctl start docker && systemctl enable docker
systemctl start kubelet && systemctl enable kubelet

 注意,此時kubelet是無法正常啟動的,可以檢視/var/log/messages有報錯資訊,等待master節點初始化之後即可正常執行。

2.6提前下載所需映象

vim k8s-image-download.sh
#!/bin/bash
# download k8s 1.20.1 images
# get image-list by 'kubeadm config images list --kubernetes-version=v1.20.1'
# gcr.azk8s.cn/google-containers == k8s.gcr.io

if [ $# -ne 1 ];then
    echo "USAGE: bash `basename $0` KUBERNETES-VERSION"
    exit 1
fi
version=$1

images=`kubeadm config images list --kubernetes-version=${version} |awk -F'/' '{print $2}'`

for imageName in ${images[@]};do
    docker pull registry.aliyuncs.com/google_containers/$imageName
#    docker pull gcr.azk8s.cn/google-containers/$imageName
#    docker tag  gcr.azk8s.cn/google-containers/$imageName k8s.gcr.io/$imageName
#    docker rmi  gcr.azk8s.cn/google-containers/$imageName
done

二、叢集搭建

1.master節點執行

kubeadm init --kubernetes-version=v1.20.1 \ 
--pod-network-cidr=10.244.0.0/16 \
--service-cidr=10.96.0.0/12 \
--apiserver-advertise-address=192.168.0.10 \
--ignore-preflight-errors=Swap \
--ignore-preflight-errors=NumCPU \
--image-repository registry.aliyuncs.com/google_containers

引數說明

  • --kubernetes-version=v1.20.1:指定要安裝的版本號。
  • --apiserver-advertise-address:指定用 Master 的哪個IP地址與 Cluster的其他節點通訊。
  • --service-cidr:指定Service網路的範圍,即負載均衡VIP使用的IP地址段。
  • --pod-network-cidr:指定Pod網路的範圍,即Pod的IP地址段。
  • --ignore-preflight-errors=:忽略執行時的錯誤,例如執行時存在[ERROR NumCPU]和[ERROR Swap],忽略這兩個報錯就是增加--ignore-preflight-errors=NumCPU 和--ignore-preflight-errors=Swap的配置即可。
  • --image-repository:Kubenetes預設Registries地址是 k8s.gcr.io,一般在國內並不能訪問 gcr.io,可以將其指定為阿里雲映象地址:registry.aliyuncs.com/google_containers。

  如果有多個網絡卡,最好指定一下 apiserver-advertise 地址

執行過程顯示如下:

[init] Using Kubernetes version: v1.20.1
[preflight] Running pre-flight checks
    [WARNING NumCPU]: the number of available CPUs 1 is less than the required 2
    [WARNING Service-Docker]: docker service is not enabled, please run 'systemctl enable docker.service'
    [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 Service-Kubelet]: kubelet service is not enabled, please run 'systemctl enable kubelet.service'
[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-kubelet-client" certificate and key
[certs] Generating "apiserver" certificate and key
[certs] apiserver serving cert is signed for DNS names [node-1 kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 1.1.1.101]
[certs] Generating "etcd/ca" certificate and key
[certs] Generating "etcd/healthcheck-client" certificate and key
[certs] Generating "apiserver-etcd-client" certificate and key
[certs] Generating "etcd/server" certificate and key
[certs] etcd/server serving cert is signed for DNS names [node-1 localhost] and IPs [1.1.1.101 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [node-1 localhost] and IPs [1.1.1.101 127.0.0.1 ::1]
[certs] Generating "front-proxy-ca" certificate and key
[certs] Generating "front-proxy-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
[apiclient] All control plane components are healthy after 22.503724 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.15" 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 node-1 as control-plane by adding the label "node-role.kubernetes.io/master=''"
[mark-control-plane] Marking the node node-1 as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: z1609x.bg2tkrsrfwlrl3rb
[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 192.168.0.100:6443 --token z1609x.bg2tkrsrfwlrl3rb \
    --discovery-token-ca-cert-hash sha256:0753a3d2f04c6c34c5ad88d4be3bc508b1e5b9d00908b29442f7068645521703

初始化操作主要經歷了下面15個步驟,每個階段均輸出均使用[步驟名稱]作為開頭:

  1. [init]:指定版本進行初始化操作
  2. [preflight] :初始化前的檢查和下載所需要的Docker映象檔案。
  3. [kubelet-start] :生成kubelet的配置檔案”/var/lib/kubelet/config.yaml”,沒有這個檔案kubelet無法啟動,所以初始化之前的kubelet實際上啟動失敗。
  4. [certificates]:生成Kubernetes使用的證書,存放在/etc/kubernetes/pki目錄中。
  5. [kubeconfig] :生成 KubeConfig 檔案,存放在/etc/kubernetes目錄中,元件之間通訊需要使用對應檔案。
  6. [control-plane]:使用/etc/kubernetes/manifest目錄下的YAML檔案,安裝 Master 元件。
  7. [etcd]:使用/etc/kubernetes/manifest/etcd.yaml安裝Etcd服務。
  8. [wait-control-plane]:等待control-plan部署的Master元件啟動。
  9. [apiclient]:檢查Master元件服務狀態。
  10. [upload-config]:更新配置
  11. [kubelet]:使用configMap配置kubelet。
  12. [patchnode]:更新CNI資訊到Node上,通過註釋的方式記錄。
  13. [mark-control-plane]:為當前節點打標籤,打了角色Master,和不可排程標籤,這樣預設就不會使用Master節點來執行Pod。
  14. [bootstrap-token]:生成token記錄下來,後邊使用kubeadm join往叢集中新增節點時會用到
  15. [addons]:安裝附加元件CoreDNS和kube-proxy

kubectl預設會在執行的使用者家目錄下面的.kube目錄下尋找config檔案。這裡是將在初始化時[kubeconfig]步驟生成的admin.conf拷貝到.kube/config。

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

2.安裝網路外掛flannel

# kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
podsecuritypolicy.policy/psp.flannel.unprivileged 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-amd64 created
daemonset.apps/kube-flannel-ds-arm64 created
daemonset.apps/kube-flannel-ds-arm created
daemonset.apps/kube-flannel-ds-ppc64le created
daemonset.apps/kube-flannel-ds-s390x created

3.節點加入叢集

在各node節點上執行

kubeadm join 192.168.0.100:6443 --token z1609x.bg2tkrsrfwlrl3rb \
    --discovery-token-ca-cert-hash sha256:0753a3d2f04c6c34c5ad88d4be3bc508b1e5b9d00908b29442f7068645521703

4.檢視叢集狀態

kubectl get node
kubectl get pod --all-namespaces -o wide

各節點都是 Ready 狀態,各Pod都是 Running 狀態,表示叢集正常執行。

5.測試DNS解析是否正常

kubectl run -it busybox --image=radial/busyboxplus:curl
[ root@busybox:/ ]$ nslookup kubernetes
Server:    10.96.0.10
Address 1: 10.96.0.10 kube-dns.kube-system.svc.cluster.local

Name:      kubernetes
Address 1: 10.96.0.1 kubernetes.default.svc.cluster.local
[ root@busybox:/ ]$ nslookup kubernetes.default
Server:    10.96.0.10
Address 1: 10.96.0.10 kube-dns.kube-system.svc.cluster.local

Name:      kubernetes.default
Address 1: 10.96.0.1 kubernetes.default.svc.cluster.local
[ root@busybox:/ ]$ 

6.測試叢集

在kubernetes叢集中建立一個pod,然後暴露埠,驗證是否正常訪問:

kubectl create deployment nginx-deploy --image=nginx
kubectl expose deployment nginx-deploy --port=80 --type=NodePort
kubectl get pod,svc
NAME                               READY   STATUS    RESTARTS   AGE
pod/nginx-deploy-8588f9dfb-q9qqd   1/1     Running   0          8h

NAME                   TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)        AGE
service/kubernetes     ClusterIP   10.96.0.1        <none>        443/TCP        9h
service/nginx-deploy   NodePort    10.104.148.168   <none>        80:31629/TCP   8h

訪問地址:http://NodeIP:Port ,此例就是:http://192.168.0.100:31629

說明:

預設token的有效期為24小時,過期之後,該token就不可用了,如果後續有nodes節點加入,可以重新生成新的token,解決方法如下:

#生成token
kubeadm token create
0w3a92.ijgba9ia0e3scicg
#檢視token
kubeadm token list
TOKEN                     TTL       EXPIRES                     USAGES                   DESCRIPTION                                                EXTRA GROUPS
0w3a92.ijgba9ia0e3scicg   23h       2019-09-08T22:02:40+08:00   authentication,signing   <none>                                                     system:bootstrappers:kubeadm:default-node-token
t0ehj8.k4ef3gq0icr3etl0   22h       2019-09-08T20:58:34+08:00   authentication,signing   The default bootstrap token generated by 'kubeadm init'.   system:bootstrappers:kubeadm:default-node-token
#獲取ca證書sha256編碼hash值
openssl x509 -pubkey -in /etc/kubernetes/pki/ca.crt | openssl rsa -pubin -outform der 2>/dev/null | openssl dgst -sha256 -hex | sed 's/^.* //'
#節點加入叢集
kubeadm join --token aa78f6.8b4cafc8ed26c34f --discovery-token-ca-cert-hash sha256:0fd95a9bc67a7bf0ef42da968a0d55d92e52898ec37c971bd77ee501d845b538 192.168.73.138:6443 --skip-preflight-chec