一、概述
搭建k8s集群时,需要访问google,下载相关镜像以及安装软件,非常麻烦。
正好阿里云提供了k8s的更新源,国内用户就可以直接使用了。
二、环境介绍
操作系统主机名IP地址功能配置
- ubuntu-16.04.5-server-amd64k8s-master192.168.91.128主节点2核4G
- ubuntu-16.04.5-server-amd64k8s-node1192.168.91.129从节点2核4G
- ubuntu-16.04.5-server-amd64k8s-node2192.168.91.131从节点2核4G
三、安装前准备
主机名
确保3台主机的 /etc/hostname 已经修改为正确的主机名,修改后,请重启系统。
时间
务必保证3台服务器的时区是一样的,强制更改时区为上海,执行以下命令
ln -snf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime
bash -c "echo 'Asia/Shanghai' > /etc/timezone"
安装ntpdate
apt-get install -y ntpdate
如果出现以下错误
E: Could not get lock /var/lib/dpkg/lock - open (11: Resource temporarily unavailable)
E: Unable to lock the administration directory (/var/lib/dpkg/), is another process using it?
执行2个命令解决
sudo rm /var/cache/apt/archives/lock
sudo rm /var/lib/dpkg/lock
使用阿里云的时间服务器更新
ntpdate ntp1.aliyun.com
3台服务器都执行一下,确保时间一致!
请确保防火墙都关闭了!
四、正式开始
禁用swap
所有主机
sudo sed -i '/swap/ s/^/#/' /etc/fstab
sudo swapoff -a
安装Docker
更新apt源,并添加https支持(所有主机)
sudo apt-get update && sudo apt-get install apt-transport-https ca-certificates curl software-properties-common -y
使用utc源添加GPG Key (所有主机)
curl -fsSL https://mirrors.ustc.edu.cn/docker-ce/linux/ubuntu/gpg | sudo apt-key add
添加Docker-ce稳定版源地址(所有主机)
sudo add-apt-repository "deb [arch=amd64] https://mirrors.ustc.edu.cn/docker-ce/linux/ubuntu $(lsb_release -cs) stable"
安装docker-ce(所有主机)
sudo apt-get update
sudo apt install docker-ce=18.06.1~ce~3-0~ubuntu
安装kubelet,kubeadm,kubectl
添加apt key以及源(所有主机)
sudo apt update && sudo apt install -y apt-transport-https curl
curl -s https://mirrors.aliyun.com/kubernetes/apt/doc/apt-key.gpg | sudo apt-key add -
echo "deb https://mirrors.aliyun.com/kubernetes/apt/ kubernetes-xenial main" >>/etc/apt/sources.list.d/kubernetes.list
安装(所有主机)
sudo apt update
sudo apt install -y kubelet=1.15.2-00 kubeadm=1.15.2-00 kubectl=1.15.2-00
sudo apt-mark hold kubelet=1.15.2-00 kubeadm=1.15.2-00 kubectl=1.15.2-00
安装kubernetes集群(仅master)
—image-repository 指定镜像源,指定为阿里云的源,这样就会避免在拉取镜像超时,如果没问题,过几分钟就能看到成功的日志输入
sudo kubeadm init --image-repository registry.aliyuncs.com/google_containers --kubernetes-version v1.15.2 --pod-network-cidr=192.169.0.0/16
输出:
[init] Using Kubernetes version: v1.15.2
[preflight] Running pre-flight checks
[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/
[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" certificate and key
[certs] apiserver serving cert is signed for DNS names [k8s-master kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 192.168.10.104]
[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 [k8s-master localhost] and IPs [192.168.10.104 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [k8s-master localhost] and IPs [192.168.10.104 127.0.0.1 ::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
[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
[kubelet-check] Initial timeout of 40s passed.
[apiclient] All control plane components are healthy after 41.503569 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 k8s-master as control-plane by adding the label "node-role.kubernetes.io/master=''"
[mark-control-plane] Marking the node k8s-master as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: 767b6y.incfuyom78fl6j88
[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 192.168.10.104:6443 --token 767b6y.incfuyom78fl6j88 \
--discovery-token-ca-cert-hash sha256:941807715378bcbd5bd1cbe244c4bdbf00dee4e45c3b0ff3555eea746607a672
View Code
注意:出现以下警告信息:
[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/
可以忽略,解决方法:
#修改或者创建
vim /etc/docker/daemon.json
#添加如下内容 --这行就不要添加了这只是个注释(^_^)------qingfeng
{
"exec-opts": ["native.cgroupdriver=systemd"]
}
拷贝kubeconfig文件到家目录的.kube目录 (仅master)
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
安装网络插件,让pod之间通信(仅master)
https://docs.projectcalico.org/v3.3/getting-started/kubernetes/installation/hosted/rbac-kdd.yaml
https://docs.projectcalico.org/v3.3/getting-started/kubernetes/installation/hosted/kubernetes-datastore/calico-networking/1.7/calico.yaml
kubectl apply -f rbac-kdd.yaml
kubectl apply -f calico.yaml
查看kube-system命名空间下的pod状态(仅master)
kubectl get pod -n kube-system
等待1分钟,效果如下:
kubectl get pods -n kube-system
NAME READY STATUS RESTARTS AGE
calico-node-8w22s 2/2 Running 0 26m
calico-node-r7bzc 2/2 Running 0 36m
calico-node-zds6x 2/2 Running 0 26m
coredns-bccdc95cf-d8vcl 1/1 Running 0 107m
coredns-bccdc95cf-kzjt5 1/1 Running 0 107m
etcd-k8s-master 1/1 Running 0 106m
kube-apiserver-k8s-master 1/1 Running 0 106m
kube-controller-manager-k8s-master 1/1 Running 0 106m
kube-proxy-db49l 1/1 Running 0 107m
kube-proxy-tthjs 1/1 Running 0 26m
kube-proxy-vdtj8 1/1 Running 0 26m
kube-scheduler-k8s-master 1/1 Running 0 106m
加入node节点 (仅node)
拷贝kubeadm init输入的加入节点命令,在每个node上执行
kubeadm join 192.168.10.104:6443 --token 767b6y.incfuyom78fl6j88 --discovery-token-ca-cert-hash sha256:941807715378bcbd5bd1cbe244c4bdbf00dee4e45c3b0ff3555eea746607a672
查看集群状态(仅master)
root@k8s-master:~# kubectl get nodes
NAME STATUS ROLES AGE VERSION
k8s-master Ready master 44m v1.15.2
k8s-node1 Ready <none> 42m v1.15.2
k8s-node2 Ready <none> 42m v1.15.2
命令补全
apt-get install bash-completion
source <(kubectl completion bash)
echo "source <(kubectl completion bash)" >> ~/.bashrc
source ~/.bashrc
四、部署应用
这里以flask为例:
vim flask.yaml
内容如下:
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: flaskapp-1
spec:
replicas: 1
template:
metadata:
labels:
name: flaskapp-1
spec:
containers:
- name: flaskapp-1
image: jcdemo/flaskapp
ports:
- containerPort: 5000
---
apiVersion: v1
kind: Service
metadata:
name: flaskapp-1
labels:
name: flaskapp-1
spec:
type: NodePort
ports:
- port: 5000
name: flaskapp-port
targetPort: 5000
protocol: TCP
nodePort: 30005
selector:
name: flaskapp-1
启动应用
kubectl apply -f flask.yaml
查看应用状态
root@k8s-master:~# kubectl get pods -o wide
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
flaskapp-1-59698bc97d-ssqv8 1/1 Running 0 43m 192.169.2.3 k8s-node2 <none> <none>
以上信息可以说明,这个pod运行在k8s-node2这台主机上面
使用curl访问pod ip的服务
root@k8s-master:~# curl 192.169.2.3:5000
<html><head><title>Docker + Flask Demo</title></head><body><table><tr><td> Start Time </td> <td>2019-Aug-07 12:30:38</td> </tr><tr><td> Hostname </td> <td>flaskapp-1-59698bc97d-ssqv8</td> </tr><tr><td> Local Address </td> <td>192.169.2.3</td> </tr><tr><td> Remote Address </td> <td>192.168.10.120</td> </tr><tr><td> Server Hit </td> <td>3</td> </tr></table></body></html>root@k8s-master:~#
查看svc端口
root@k8s-master:~# kubectl get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
flaskapp-1 NodePort 10.107.108.46 <none> 5000:30005/TCP 45m
kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 53m
直接网页访问k8s-node2的30005端口
http://192.168.10.119:30005/
效果如下:
五、部署dashboard可视化插件
概述
在 Kubernetes Dashboard 中可以查看集群中应用的运行状态,也能够创建和修改各种 Kubernetes 资源,比如 Deployment、Job、DaemonSet 等。用户可以 Scale Up/Down Deployment、执行 Rolling Update、重启某个 Pod 或者通过向导部署新的应用。Dashboard 能显示集群中各种资源的状态以及日志信息。
可以说,Kubernetes Dashboard 提供了 kubectl 的绝大部分功能,大家可以根据情况进行选择。
github地址:
https://github.com/kubernetes/dashboard
安装
Kubernetes 默认没有部署 Dashboard,可通过如下命令安装:
kubectl apply -f http://mirror.faasx.com/kubernetes/dashboard/master/src/deploy/recommended/kubernetes-dashboard.yaml
查看service
root@k8s-master:~# kubectl --namespace=kube-system get deployment kubernetes-dashboard
NAME READY UP-TO-DATE AVAILABLE AGE
kubernetes-dashboard 1/1 1 1 5m23s
root@k8s-master:~# kubectl --namespace=kube-system get service kubernetes-dashboard
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kubernetes-dashboard ClusterIP 10.100.111.103 <none> 443/TCP 5m28s
查看pod
确保状态是Running
root@k8s-master:~# kubectl get pod --namespace=kube-system -o wide | grep dashboard
kubernetes-dashboard-8594bd9565-t78bj 1/1 Running 0 8m41s 192.169.2.7 k8s-node2 <none> <none>
允许外部访问
注意:会占用终端
kubectl proxy --address='0.0.0.0' --accept-hosts='^*$'
通过浏览器访问
注意:192.168.10.104为master ip
http://192.168.10.104:8001/api/v1/namespaces/kube-system/services/https:kubernetes-dashboard:/proxy/.
效果如下:
配置登录权限
Dashboard 支持 Kubeconfig 和 Token 两种认证方式,为了简化配置,我们通过配置文件 dashboard-admin.yaml 为 Dashboard 默认用户赋予 admin 权限。
vim dashboard-admin.yml
内容如下:
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
执行kubectl apply使之生效
kubectl apply -f dashboard-admin.yml
现在直接点击登录页面的跳过,就可以进入 Dashboard 了,效果如下:
关于dashboard界面结构介绍,请参考链接:
https://www.cnblogs.com/kenken2018/p/10340157.html