简介:
kubernetes集群结构和安装环境
主节点:
172.19.2.50
主节点包含组件:kubectl、Kube-Proxy、kube-dns、etcd、kube-apiserver、kube-controller-manager、kube-scheduler、calico-node、calico-policy-controller、calico-etcd
从节点:
172.19.2.51
172.19.2.140
从节点包含组件:kubernetes-dashboard、calico-node、kube-proxy
最后kubernetes-dashboard访问地址:
http://172.19.2.50:30099/
kubectl:用于操作kubernetes集群的命令行接口
Kube-Proxy:用于暴露容器内的端口,kubernetes master会从与定义的端口范围内请求一个端口号(默认范围:30000-32767)
kube-dns:用于提供容器内的DNS服务
etcd:用于共享配置和服务发现的分布式,一致性的KV存储系统
kube-apiserver:相当于是k8s集群的一个入口,不论通过kubectl还是使用remote api直接控制,都要经过apiserver
kube-controller-manager:承担了master的主要功能,比如交互,管理node,pod,replication,service,namespace等
kube-scheduler:根据特定的调度算法将pod调度到指定的工作节点(minion)上,这一过程也叫绑定(bind)
calico:基于BGP协议的虚拟网络工具,这里主要用于容器内网络通信
kubernetes-dashboard:官方提供的用户管理Kubernets集群可视化工具
参考文档:
https://mritd.me/2016/10/29/set-up-kubernetes-cluster-by-kubeadm/
http://www.cnblogs.com/liangDream/p/7358847.html
一、所有节点安装kubeadm
清理系统中残留的kubernetes文件
rm -r -f /etc/kubernetes /var/lib/kubelet /var/lib/etcd
rm -rf $HOME/.kube
部署阿里云的kubernetes仓库
vim /etc/yum.repos.d/kubernetes.repo
[kube]
name=Kube
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=0
安装kubeadm
yum install kubeadm
安装完后必须有以下几个组件
rpm -qa | grep kube
kubernetes-cni-0.5.1-0.x86_64
kubelet-1.7.5-0.x86_64
kubectl-1.7.5-0.x86_64
kubeadm-1.7.5-0.x86_64
docker使用的是docker-ce
新增docker-ce仓库
vim /etc/yum.repos.d/docker-ce.repo
[docker-ce-stable]
name=Docker CE Stable - $basearch
baseurl=https://download.docker.com/linux/centos/7/$basearch/stable
enabled=1
gpgcheck=1
gpgkey=https://download.docker.com/linux/centos/gpg
[docker-ce-stable-debuginfo]
name=Docker CE Stable - Debuginfo $basearch
baseurl=https://download.docker.com/linux/centos/7/debug-$basearch/stable
enabled=0
gpgcheck=1
gpgkey=https://download.docker.com/linux/centos/gpg
[docker-ce-stable-source]
name=Docker CE Stable - Sources
baseurl=https://download.docker.com/linux/centos/7/source/stable
enabled=0
gpgcheck=1
gpgkey=https://download.docker.com/linux/centos/gpg
[docker-ce-edge]
name=Docker CE Edge - $basearch
baseurl=https://download.docker.com/linux/centos/7/$basearch/edge
enabled=0
gpgcheck=1
gpgkey=https://download.docker.com/linux/centos/gpg
[docker-ce-edge-debuginfo]
name=Docker CE Edge - Debuginfo $basearch
baseurl=https://download.docker.com/linux/centos/7/debug-$basearch/edge
enabled=0
gpgcheck=1
gpgkey=https://download.docker.com/linux/centos/gpg
[docker-ce-edge-source]
name=Docker CE Edge - Sources
baseurl=https://download.docker.com/linux/centos/7/source/edge
enabled=0
gpgcheck=1
gpgkey=https://download.docker.com/linux/centos/gpg
[docker-ce-test]
name=Docker CE Test - $basearch
baseurl=https://download.docker.com/linux/centos/7/$basearch/test
enabled=0
gpgcheck=1
gpgkey=https://download.docker.com/linux/centos/gpg
[docker-ce-test-debuginfo]
name=Docker CE Test - Debuginfo $basearch
baseurl=https://download.docker.com/linux/centos/7/debug-$basearch/test
enabled=0
gpgcheck=1
gpgkey=https://download.docker.com/linux/centos/gpg
[docker-ce-test-source]
name=Docker CE Test - Sources
baseurl=https://download.docker.com/linux/centos/7/source/test
enabled=0
gpgcheck=1
gpgkey=https://download.docker.com/linux/centos/gpg
安装docker-ce
yum install docker-ce
二、部署镜像到所有节点
所需镜像,因为是谷歌镜像需要翻墙,可以先把镜像构建到dockerhub上再下载到本地仓库
gcr.io/google_containers/etcd-amd64:3.0.17
gcr.io/google_containers/kube-apiserver-amd64:v1.7.6
gcr.io/google_containers/kube-controller-manager-amd64:v1.7.6
gcr.io/google_containers/kube-scheduler-amd64:v1.7.6
quay.io/coreos/etcd:v3.1.10
quay.io/calico/node:v2.4.1
quay.io/calico/cni:v1.10.0
quay.io/calico/kube-policy-controller:v0.7.0
gcr.io/google_containers/pause-amd64:3.0
gcr.io/google_containers/k8s-dns-kube-dns-amd64:1.14.4
gcr.io/google_containers/k8s-dns-dnsmasq-nanny-amd64:1.14.4
gcr.io/google_containers/kubernetes-dashboard-amd64:v1.6.3
gcr.io/google_containers/k8s-dns-sidecar-amd64:1.14.4
gcr.io/google_containers/kube-proxy-amd64:v1.7.6
构建镜像过程参考
https://mritd.me/2016/10/29/set-up-kubernetes-cluster-by-kubeadm/
http://www.cnblogs.com/liangDream/p/7358847.html
复制已有的私有仓库密钥到本地
mkdir -pv /etc/docker/certs.d/172.19.2.139/
vim /etc/docker/certs.d/172.19.2.139/ca.crt
-----BEGIN CERTIFICATE-----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-----END CERTIFICATE-----
登出docker仓库,登录私有仓库
docker logout
docker login 172.19.2.139
Username: admin
Password: Cmcc@1ot
下载私有仓库中的镜像
docker pull 172.19.2.139/xsllqs/etcd-amd64:3.0.17
docker pull 172.19.2.139/xsllqs/kube-scheduler-amd64:v1.7.6
docker pull 172.19.2.139/xsllqs/kube-apiserver-amd64:v1.7.6
docker pull 172.19.2.139/xsllqs/kube-controller-manager-amd64:v1.7.6
docker pull 172.19.2.139/xsllqs/etcd:v3.1.10
docker pull 172.19.2.139/xsllqs/node:v2.4.1
docker pull 172.19.2.139/xsllqs/cni:v1.10.0
docker pull 172.19.2.139/xsllqs/kube-policy-controller:v0.7.0
docker pull 172.19.2.139/xsllqs/pause-amd64:3.0
docker pull 172.19.2.139/xsllqs/k8s-dns-kube-dns-amd64:1.14.4
docker pull 172.19.2.139/xsllqs/k8s-dns-dnsmasq-nanny-amd64:1.14.4
docker pull 172.19.2.139/xsllqs/kubernetes-dashboard-amd64:v1.6.3
docker pull 172.19.2.139/xsllqs/k8s-dns-sidecar-amd64:1.14.4
docker pull 172.19.2.139/xsllqs/kube-proxy-amd64:v1.7.6
重命名镜像
docker tag 172.19.2.139/xsllqs/etcd-amd64:3.0.17 gcr.io/google_containers/etcd-amd64:3.0.17
docker tag 172.19.2.139/xsllqs/kube-scheduler-amd64:v1.7.6 gcr.io/google_containers/kube-scheduler-amd64:v1.7.6
docker tag 172.19.2.139/xsllqs/kube-apiserver-amd64:v1.7.6 gcr.io/google_containers/kube-apiserver-amd64:v1.7.6
docker tag 172.19.2.139/xsllqs/kube-controller-manager-amd64:v1.7.6 gcr.io/google_containers/kube-controller-manager-amd64:v1.7.6
docker tag 172.19.2.139/xsllqs/etcd:v3.1.10 quay.io/coreos/etcd:v3.1.10
docker tag 172.19.2.139/xsllqs/node:v2.4.1 quay.io/calico/node:v2.4.1
docker tag 172.19.2.139/xsllqs/cni:v1.10.0 quay.io/calico/cni:v1.10.0
docker tag 172.19.2.139/xsllqs/kube-policy-controller:v0.7.0 quay.io/calico/kube-policy-controller:v0.7.0
docker tag 172.19.2.139/xsllqs/pause-amd64:3.0 gcr.io/google_containers/pause-amd64:3.0
docker tag 172.19.2.139/xsllqs/k8s-dns-kube-dns-amd64:1.14.4 gcr.io/google_containers/k8s-dns-kube-dns-amd64:1.14.4
docker tag 172.19.2.139/xsllqs/k8s-dns-dnsmasq-nanny-amd64:1.14.4 gcr.io/google_containers/k8s-dns-dnsmasq-nanny-amd64:1.14.4
docker tag 172.19.2.139/xsllqs/kubernetes-dashboard-amd64:v1.6.3 gcr.io/google_containers/kubernetes-dashboard-amd64:v1.6.3
docker tag 172.19.2.139/xsllqs/k8s-dns-sidecar-amd64:1.14.4 gcr.io/google_containers/k8s-dns-sidecar-amd64:1.14.4
docker tag 172.19.2.139/xsllqs/kube-proxy-amd64:v1.7.6 gcr.io/google_containers/kube-proxy-amd64:v1.7.6
三、所有节点启动kubelet
在hosts中加入所有主机名
直接启动kubelet会有这个报错
journalctl -xe
error: failed to run Kubelet: failed to create kubelet: misconfiguration: kubelet cgroup driver: "systemd" is different from docker cgroup driver: "cgrou
所以需要修改以下内容
vim /etc/systemd/system/kubelet.service.d/10-kubeadm.conf
Environment="KUBELET_CGROUP_ARGS=--cgroup-driver=cgroupfs"
以下有就修改,没有则不管
vim /etc/systemd/system/kubelet.service.d/99-kubelet-droplet.conf
Environment="KUBELET_EXTRA_ARGS=--pod-infra-container-image=registry.aliyuncs.com/archon/pause-amd64:3.0 --cgroup-driver=cgroupfs"
启动
systemctl enable kubelet
systemctl start kubelet
也许会启动失败,说找不到配置文件,但是不用管,因为kubeadm会给出配置文件并启动kubelet,建议执行了kubeadm init失败后启动kubelete
四、kubeadm部署master节点
master节点执行以下命令
kubeadm reset
echo 1 > /proc/sys/net/bridge/bridge-nf-call-iptables
kubeadm init --kubernetes-version=v1.7.6
会有以下内容出现
[apiclient] All control plane components are healthy after 30.001912 seconds
[token] Using token: cab485.49b7c0358a06ad35
[apiconfig] Created RBAC rules
[addons] Applied essential addon: kube-proxy
[addons] Applied essential addon: kube-dns
Your Kubernetes master has initialized successfully!
To start using your cluster, you need to run (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:
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 cab485.49b7c0358a06ad35 172.19.2.50:6443
请牢记以下内容,后期新增节点需要用到
kubeadm join --token cab485.49b7c0358a06ad35 172.19.2.50:6443
按照要求执行
mkdir -p $HOME/.kube
cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
chown $(id -u):$(id -g) $HOME/.kube/config
部署calico网络,最好先部署kubernetes-dashboard再部署calico网络
cd /home/lvqingshan/
kubectl apply -f http://docs.projectcalico.org/v2.4/getting-started/kubernetes/installation/hosted/kubeadm/1.6/calico.yaml
查看名称空间
kubectl get pods --all-namespaces
五、主节点安装kubernetes-dashboard
下载kubernetes-dashboard对应的yaml文件
cd /home/lvqingshan/
wget https://rawgit.com/kubernetes/dashboard/master/src/deploy/kubernetes-dashboard.yaml -O kubernetes-dashboard.yaml
修改该yaml文件,固定服务对外端口
vim kubernetes-dashboard.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
name: kubernetes-dashboard
labels:
k8s-app: kubernetes-dashboard
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: cluster-admin
subjects:
- kind: ServiceAccount
name: kubernetes-dashboard
namespace: kube-system
---
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kube-system
spec:
replicas: 1
revisionHistoryLimit: 10
selector:
matchLabels:
k8s-app: kubernetes-dashboard
template:
metadata:
labels:
k8s-app: kubernetes-dashboard
spec:
containers:
- name: kubernetes-dashboard
image: gcr.io/google_containers/kubernetes-dashboard-amd64:v1.6.3
ports:
- containerPort: 9090
protocol: TCP
args:
# Uncomment the following line to manually specify Kubernetes API server Host
# If not specified, Dashboard will attempt to auto discover the API server and connect
# to it. Uncomment only if the default does not work.
# - --apiserver-host=http://my-address:port
livenessProbe:
httpGet:
path: /
port: 9090
initialDelaySeconds: 30
timeoutSeconds: 30
serviceAccountName: kubernetes-dashboard
# Comment the following tolerations if Dashboard must not be deployed on master
tolerations:
- key: node-role.kubernetes.io/master
effect: NoSchedule
---
kind: Service
apiVersion: v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kube-system
spec:
type: NodePort
ports:
- port: 80
targetPort: 9090
nodePort: 30099 #新增这里,指定物理机上提供的端口
selector:
k8s-app: kubernetes-dashboard
type: NodePort #新增这里,指定类型
创建dashboard
kubectl create -f kubernetes-dashboard.yaml
六、从节点加入集群
从节点修改/etc/systemd/system/kubelet.service.d/文件后执行
systemctl enable kubelet
systemctl start kubelet
kubeadm join --token cab485.49b7c0358a06ad35 172.19.2.50:6443
查看dashboard的NodePort
kubectl describe svc kubernetes-dashboard --namespace=kube-system
网页打开
http://172.19.2.50:30099/