本文参考kubernetes官网文章Installing Kubernetes on Linux with kubeadm在CentOS7.2使用Kubeadm部署Kuebernetes集群，解决了一些在按照该文档部署时遇到的问题。
操作系统版本
|
1
2
|
# cat /etc/redhat-release
CentOS Linux release 7.2.1511 (Core)
|
内核版本
|
1
2
|
# uname -r
3.10.0-327.el7.x86_64
|
集群节点
|
1
2
3
4
|
192.168.120.122 kube-master
192.168.120.123 kube-agent1
192.168.120.124 kube-agent2
192.168.120.125 kube-agent3
|
即该集群包含一个控制节点和三个工作节点。
部署前的准备
配置可以访问google相关网站
这种部署方式使用的软件包由google相关源提供，因此集群节点必须能够访问外网，至于如何配置请自行解决。
关闭防火墙
|
1
|
# systemctl stop firewalld.service && systemctl disable firewalld.service
|
禁用SELinux
|
1
2
|
# setenforce 0
# sed -i.bak 's/SELINUX=enforcing/SELINUX=permissive/' /etc/selinux/config
|
配置yum源
|
1
2
3
4
5
6
7
8
9
10
|
# 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
|
安装kubelet和kubeadm
在所有节点上安装以下软件包：
|
1
2
3
|
# yum install -y docker kubelet kubeadm kubectl kubernetes-cni
# systemctl enable docker && systemctl start docker
# systemctl enable kubelet && systemctl start kubelet
|
然后设置内核参数：
|
1
2
|
# sysctl net.bridge.bridge-nf-call-iptables=1
# sysctl net.bridge.bridge-nf-call-ip6tables=1
|
初始化控制节点
|
1
|
# kubeadm init --pod-network-cidr=10.244.0.0/16
|
因为在该集群中将使用flannel搭建pod网络，因此必须添加–pod-network-cidr参数。
注意：初始化较慢，因为该过程会pull一些docker image。
该命令的输出如下：
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
|
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
|
观察控制节点的docker image：
|
1
2
3
4
5
6
7
8
|
# 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执行以下操作：
|
1
2
3
|
# cp /etc/kubernetes/admin.conf $HOME/
# chown $(id -u):$(id -g) $HOME/admin.conf
# export KUBECONFIG=$HOME/admin.conf
|
隔离控制节点
|
1
2
|
# kubectl taint nodes --all node-role.kubernetes.io/master-
node "kube-master" tainted
|
安装pod网络
|
1
2
3
4
5
6
7
8
|
# 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
|
可以通过git clone flannel仓库：
|
1
|
# git clone https://github.com/coreos/flannel.git
|
添加工作节点
|
1
|
# kubeadm join --token <token> 192.168.120.122:6443
|
该操作输出如下：
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
|
[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.
|
在控制节点观察集群状态
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
|
# 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内容，希望对大家的学习有所帮助，也希望大家多多支持服务器之家。
原文链接：http://blog.csdn.net/u012066426/article/details/72627305