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使用Kubeadm在CentOS7.2上部署Kubernetes集群的方法

發布時間:2020-10-21 23:31:30 來源:腳本之家 閱讀:183 作者:Jackson_csdn 欄目:服務器

本文參考kubernetes官網文章Installing Kubernetes on Linux with kubeadm在CentOS7.2使用Kubeadm部署Kuebernetes集群,解決了一些在按照該文檔部署時遇到的問題。

操作系統版本

# cat /etc/redhat-release 
CentOS Linux release 7.2.1511 (Core)

內核版本

# uname -r
3.10.0-327.el7.x86_64

集群節點

192.168.120.122 kube-master
192.168.120.123 kube-agent1
192.168.120.124 kube-agent2
192.168.120.125 kube-agent3

即該集群包含一個控制節點和三個工作節點。

部署前的準備

配置可以訪問google相關網站

這種部署方式使用的軟件包由google相關源提供,因此集群節點必須能夠訪問外網,至于如何配置請自行解決。

關閉防火墻

# systemctl stop firewalld.service && systemctl disable firewalld.service

禁用SELinux

# setenforce 0
# sed -i.bak 's/SELINUX=enforcing/SELINUX=permissive/' /etc/selinux/config

配置yum源

# cat <<EOF > /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=https://packages.cloud.google.com/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=1
repo_gpgcheck=1
gpgkey=https://packages.cloud.google.com/yum/doc/yum-key.gpg
    https://packages.cloud.google.com/yum/doc/rpm-package-key.gpg
EOF

安裝kubelet和kubeadm

在所有節點上安裝以下軟件包:

# yum install -y docker kubelet kubeadm kubectl kubernetes-cni
# systemctl enable docker && systemctl start docker
# systemctl enable kubelet && systemctl start kubelet

然后設置內核參數:

# sysctl net.bridge.bridge-nf-call-iptables=1
# sysctl net.bridge.bridge-nf-call-ip6tables=1

初始化控制節點

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

因為在該集群中將使用flannel搭建pod網絡,因此必須添加–pod-network-cidr參數。

注意:初始化較慢,因為該過程會pull一些docker image。

該命令的輸出如下:

Initializing your master...
[kubeadm] WARNING: kubeadm is in beta, please do not use it for production clusters.
[init] Using Kubernetes version: v1.6.4
[init] Using Authorization mode: RBAC
[preflight] Running pre-flight checks
[certificates] Generated CA certificate and key.
[certificates] Generated API server certificate and key.
[certificates] API Server serving cert is signed for DNS names [kube-master kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 192.168.120.122]
[certificates] Generated API server kubelet client certificate and key.
[certificates] Generated service account token signing key and public key.
[certificates] Generated front-proxy CA certificate and key.
[certificates] Generated front-proxy client certificate and key.
[certificates] Valid certificates and keys now exist in "/etc/kubernetes/pki"
[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/admin.conf"
[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/kubelet.conf"
[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/controller-manager.conf"
[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/scheduler.conf"
[apiclient] Created API client, waiting for the control plane to become ready
[apiclient] All control plane components are healthy after 1377.560339 seconds
[apiclient] Waiting for at least one node to register
[apiclient] First node has registered after 6.039626 seconds
[token] Using token: 60bc68.e94800f3c5c4c2d5
[apiconfig] Created RBAC rules
[addons] Created essential addon: kube-proxy
[addons] Created essential addon: kube-dns

Your Kubernetes master has initialized successfully!

To start using your cluster, you need to run (as a regular user):

 sudo cp /etc/kubernetes/admin.conf $HOME/
 sudo chown $(id -u):$(id -g) $HOME/admin.conf
 export KUBECONFIG=$HOME/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: http://kubernetes.io/docs/admin/addons/

You can now join any number of machines by running the following on each node as root:

 kubeadm join --token <token> 192.168.120.122:6443

觀察控制節點的docker image:

# docker images
REPOSITORY                        TAG         IMAGE ID      CREATED       SIZE
gcr.io/google_containers/kube-apiserver-amd64      v1.6.4       4e3810a19a64    2 days ago     150.6 MB
gcr.io/google_containers/kube-controller-manager-amd64  v1.6.4       0ea16a85ac34    2 days ago     132.8 MB
gcr.io/google_containers/kube-proxy-amd64        v1.6.4       e073a55c288b    2 days ago     109.2 MB
gcr.io/google_containers/kube-scheduler-amd64      v1.6.4       1fab9be555e1    2 days ago     76.75 MB
gcr.io/google_containers/etcd-amd64           3.0.17       243830dae7dd    12 weeks ago    168.9 MB
gcr.io/google_containers/pause-amd64           3.0         99e59f495ffa    12 months ago    746.9 kB

按照初始化命令的提示執行以下操作:

# cp /etc/kubernetes/admin.conf $HOME/
# chown $(id -u):$(id -g) $HOME/admin.conf
# export KUBECONFIG=$HOME/admin.conf

隔離控制節點

# kubectl taint nodes --all node-role.kubernetes.io/master-
node "kube-master" tainted

安裝pod網絡

# kubectl apply -f flannel/Documentation/kube-flannel-rbac.yml
clusterrole "flannel" created
clusterrolebinding "flannel" created

# kubectl apply -f flannel/Documentation/kube-flannel.yml
serviceaccount "flannel" created
configmap "kube-flannel-cfg" created
daemonset "kube-flannel-ds" created

可以通過git clone flannel倉庫:

# git clone https://github.com/coreos/flannel.git

添加工作節點

# kubeadm join --token <token> 192.168.120.122:6443

該操作輸出如下:

[kubeadm] WARNING: kubeadm is in beta, please do not use it for production clusters.
[preflight] Running pre-flight checks
[discovery] Trying to connect to API Server "192.168.120.122:6443"
[discovery] Created cluster-info discovery client, requesting info from "https://192.168.120.122:6443"
[discovery] Cluster info signature and contents are valid, will use API Server "https://192.168.120.122:6443"
[discovery] Successfully established connection with API Server "192.168.120.122:6443"
[bootstrap] Detected server version: v1.6.4
[bootstrap] The server supports the Certificates API (certificates.k8s.io/v1beta1)
[csr] Created API client to obtain unique certificate for this node, generating keys and certificate signing request
[csr] Received signed certificate from the API server, generating KubeConfig...
[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/kubelet.conf"

Node join complete:
* Certificate signing request sent to master and response
 received.
* Kubelet informed of new secure connection details.

Run 'kubectl get nodes' on the master to see this machine join.

在控制節點觀察集群狀態

# kubectl get nodes
NAME     STATUS  AGE    VERSION
kube-agent1  Ready   16m    v1.6.3
kube-agent2  Ready   16m    v1.6.3
kube-agent3  Ready   16m    v1.6.3
kube-master  Ready   37m    v1.6.3

# kubectl get pods --all-namespaces -o wide
NAMESPACE   NAME                 READY   STATUS  RESTARTS  AGE    IP        NODE
kube-system  etcd-kube-master           1/1    Running  0     32m    192.168.120.122  kube-master
kube-system  kube-apiserver-kube-master      1/1    Running  7     32m    192.168.120.122  kube-master
kube-system  kube-controller-manager-kube-master  1/1    Running  0     32m    192.168.120.122  kube-master
kube-system  kube-dns-3913472980-3x9wh       3/3    Running  0     37m    10.244.0.2    kube-master
kube-system  kube-flannel-ds-1m4wz         2/2    Running  0     18m    192.168.120.122  kube-master
kube-system  kube-flannel-ds-3jwf5         2/2    Running  0     17m    192.168.120.123  kube-agent1
kube-system  kube-flannel-ds-41qbs         2/2    Running  4     17m    192.168.120.125  kube-agent3
kube-system  kube-flannel-ds-ssjct         2/2    Running  4     17m    192.168.120.124  kube-agent2
kube-system  kube-proxy-0mmfc           1/1    Running  0     17m    192.168.120.124  kube-agent2
kube-system  kube-proxy-23vwr           1/1    Running  0     17m    192.168.120.125  kube-agent3
kube-system  kube-proxy-5q8vq           1/1    Running  0     17m    192.168.120.123  kube-agent1
kube-system  kube-proxy-8srwn           1/1    Running  0     37m    192.168.120.122  kube-master
kube-system  kube-scheduler-kube-master      1/1    Running  0     32m    192.168.120.122  kube-master

至此,完成Kubernetes集群的部署。

以上就是本文的全部內容,希望對大家的學習有所幫助,也希望大家多多支持億速云。

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