搭建Kubernetes环境05

1、关闭swap

sudo swapoff -a

2、自动启用docker.service

sudo systemctl enable docker.service

3、cgroup切换为systemd

#参考https://kubernetes.io/docs/setup/cri/

sudo vi /etc/docker/daemon.json
#内容如下
{
"exec-opts": ["native.cgroupdriver=systemd"],
"log-driver": "json-file",
"log-opts": {
"max-size": "100m"
},
"storage-driver": "overlay2"
}

4、一些有用的命令

kubeadm init
kubeadm reset

kubectl api-versions

kubectl config view

kubectl cluster-info
kubectl cluster-info dump

kubectl get nodes
kubectl get nodes -o wide
kubectl describe node mynode

kubectl get rc,namespace

kubectl get pods
kubectl get pods --all-namespaces -o wide
kubectl describe pod mypod

kubectl get deployments
kubectl get deployment kubernetes-dashboard -n kubernetes-dashboard
kubectl describe deployment kubernetes-dashboard --namespace=kubernetes-dashboard

kubectl expose deployment hikub01 --type=LoadBalancer

kubectl get services
kubectl get service -n kube-system
kubectl describe services kubernetes-dashboard --namespace=kubernetes-dashboard

kubectl proxy
kubectl proxy --address=' 172.172.172.101'  --accept-hosts='.*' --accept-paths='.*'

kubectl run hikub01 --image=myserver:1.0.0 --port=8080
kubectl create -f  myserver-deployment.yaml
kubectl apply -f https://docs.projectcalico.org/v3.10/manifests/calico.yaml
kubectl apply -f https://raw.githubusercontent.com/kubernetes/dashboard/v2.0.0-beta4/aio/deploy/recommended.yaml

kubectl delete deployment mydeployment
kubectl delete node mynode
kubectl delete pod mypod

kubectl get events --namespace=kube-system

kubectl taint node mynode node-role.kubernetes.io/master-
kubectl taint nodes --all node-role.kubernetes.io/master-

kubectl edit service myservice
kubectl edit service kubernetes-dashboard -n kube-system

kubectl get secret -n kube-system | grep neohope | awk '{print $1}')

搭建Kubernetes环境04

本节采用yaml文件部署应用。

1、编写文件
vi hikub01-deployment.yaml

apiVersion: apps/v1
kind: Deployment
metadata:
name: hikub01-deployment
spec:
replicas: 1
selector:
matchLabels:
app: web
template:
metadata:
labels:
app: web
spec:
containers:
- name: myserver
image:  myserver:1.0.0
ports:
-  containerPort: 8080

2、创建

kubectl create -f hikub01-deployment.yaml

3、暴露端口

kubectl expose deployment hikub01-deployment --type=LoadBalancer

4、测试

查看pods
kubectl get pods -o wide

#查看部署
kubectl get deployments -o wide

#查看服务
kubectl get services -o wide

#可以根据输出,在浏览器或wget访问服务
curl http://ip:port

5、清理

kubectl delete -f hikub01-deployment.yaml

搭建Kubernetes环境03

本节,我们尝试部署一些服务。

1、首先,我们要准备自己的Docker镜像
1.1、准备文件
vi Dockerfile

FROM node:6.12.0
EXPOSE 8080
COPY myserver.js .
CMD node myserver.js

vi myserver.js

var http = require('http');

var handleRequest = function(request, response) {
console.log('Received request for URL: ' + request.url);
response.writeHead(200);
response.end('Hello World!');
};

var www = http.createServer(handleRequest);

www.listen(8080);

1.2、测试myserver.js

nodejs myserver.js

1.3、创建镜像

#构建image
sudo docker build -t myserver:1.0.0 .

1.4、测试container
[code lang="shell"]
sudo docker run -itd --name=myserver -p8080:8080 myserver:1.0.0
curl localhost:8080

2、导出镜像

docker images
sudo docker save 0fb19de44f41 -o myserver.tar

3、导入到其他两个节点

scp myserver.6.12.0.tar ubuntu@node01:/home/ubuntu
ssh node01
sudo docker load -i myserver.6.12.0.tar
sudo docker tag 0fb19de44f41 myserver:6.12.0

3、用kubectl部署服务

#进行一个部署
kubectl run hikub01 --image=myserver:1.0.0 --port=8080

#暴露服务
kubectl expose deployment hikub01 --type=LoadBalancer

#查看pods
kubectl get pods -o wide

#查看部署
kubectl get deployments -o wide

#查看服务
kubectl get services -o wide

#可以根据输出,在浏览器或wget访问服务
curl http://ip:port

4、清理

#删除服务
kubectl delete service hikub01

#删除部署
kubectl delete deployment hikub01

#删除部署
kubectl delete pod hikub01

搭建Kubernetes环境02

上一节我们搭建了环境,这一节我们部署一些k8s插件。官方插件清单如下:

https://kubernetes.io/docs/concepts/cluster-administration/addons/

本次我们部署两个插件:calico和dashboard

1、由于资源比较少,我们让master也可以进行部署

kubectl taint nodes --all node-role.kubernetes.io/master-

2、部署calico
2.1、部署

kubectl apply -f https://docs.projectcalico.org/v3.10/manifests/calico.yaml

2.2、观察部署情况,等待部署成功

watch kubectl get pods --all-namespaces

3、部署dashboard
3.1、部署

kubectl apply -f https://raw.githubusercontent.com/kubernetes/dashboard/v2.0.0-beta4/aio/deploy/recommended.yaml

3.2、观察部署情况,等待部署成功

watch kubectl get pods --all-namespaces

3.3、启动代理

kubectl proxy

3.4、浏览器可以看到登录页面

http://IP:8001/api/v1/namespaces/kubernetes-dashboard/services/https:kubernetes-dashboard:/proxy/

但其实这个地方有个坑,因为dashboard要求https登录,而代理当前为http,所以只有IP为localhost时,才能登录成功。在这里浪费了不少时间。

3.5、新建用户

vi neohope-account.yaml

#文件内容
apiVersion: v1
kind: ServiceAccount
metadata:
name: neohope
namespace: kube-system

kubectl create -f neohope-account.yaml

3.6、用户角色配置

vi neohope-role.yaml

#文件内容
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
name: neohope
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: cluster-admin
subjects:
- kind: ServiceAccount
name: neohope
namespace: kube-system

kubectl create -f  neohope-role.yaml

3.7、获取Token

kubectl -n kube-system describe secret $(kubectl -n kube-system get secret | grep neohope | awk '{print $1}')
Name:         neohope-token-2khbb
Namespace:    kube-system
Labels:       <none>
Annotations:  kubernetes.io/service-account.name: neohope
kubernetes.io/service-account.uid: fc842f0e-0ef4-4c41-9f30-8a5409c866c2</none>

Type:  kubernetes.io/service-account-token

Data
====
ca.crt:     1025 bytes
namespace:  11 bytes
token:      eyJhbGciOiJSUzI1NiIsImtpZCI6ImtIRjFiZnI5V3NiRlpZQXpzUk9DanA4cHBCQnFOcFNrek5xTjltUGRLeDgifQ.eyJpc3MiOiJrdWJlcm5ldGVzL3NlcnZpY2VhY2NvdW50Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9uYW1lc3BhY2UiOiJrdWJlLXN5c3RlbSIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VjcmV0Lm5hbWUiOiJuZW9ob3BlLXRva2VuLTJraGJiIiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9zZXJ2aWNlLWFjY291bnQubmFtZSI6Im5lb2hvcGUiLCJrdWJlcm5ldGVzLmlvL3NlcnZpY2VhY2NvdW50L3NlcnZpY2UtYWNjb3VudC51aWQiOiJmYzg0MmYwZS0wZWY0LTRjNDEtOWYzMC04YTU0MDljODY2YzIiLCJzdWIiOiJzeXN0ZW06c2VydmljZWFjY291bnQ6a3ViZS1zeXN0ZW06bmVvaG9wZSJ9.Zsk4C3hs58JmLa0rRTdfoQKlY524kMtnlzEHxgMryv7u9kPHS51BA0xiVC1nMLDcbMp1U3YHlnz0-IJkFzVeaboq0qEFea56nnqASMSEtCB1c7IE52zip-4tDWdZ-jYwf7KN5Gwq_4ZUqa4gRf1znVH7nlsxTpaoQ_-yjJsQpqDyUb1BLgGrUGcWOF2hGMHrNPHbZfLyhsPp_ijOvmRviAq57nyrGYiVG9ZiMoGV_1Y5rvn2-L0BHCdgZjSzK6nlfvoMlpnqhQXkrxE0d9EJbeukfx5sOF3xUPkQx-6dKm3QrkqBNXInbDxJXJbj27JalGarpRDA9tsPg1mUqAb-7g

3.8、如果是localhost登录,用上面的Token就可以了

http://IP:8001/api/v1/namespaces/kubernetes-dashboard/services/https:kubernetes-dashboard:/proxy/

3.9、如果不是localhost登录,有三种方式

#A、暴露端口
#B、通过api server进行代理访问
#https://IP:6443/api/v1/namespaces/kube-system/services/https:kubernetes-dashboard:/proxy/
#C、通过插件,用nginx等代理后访问
#为了偷懒,用方案A

3.10、暴露端口

kubectl -n kubernetes-dashboard edit service kubernetes-dashboard
将ClusterIP换为NodePort,然后保存

3.10、查看服务情况

kubectl get service -n kubernetes-dashboard -o wide
NAME                        TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)         AGE   SELECTOR
dashboard-metrics-scraper   ClusterIP   10.102.175.21    <none>        8000/TCP        17h   k8s-app=dashboard-metrics-scraper
kubernetes-dashboard        NodePort    10.102.129.248   <none>        443:31766/TCP   17h   k8s-app=kubernetes-dashboard
#这里可以找到端口31766</none></none>

kubectl get pod -n kubernetes-dashboard -o wide
NAME                                         READY   STATUS    RESTARTS   AGE   IP                NODE              NOMINATED NODE   READINESS GATES
dashboard-metrics-scraper-566cddb686-vkxvx   1/1     Running   0          17h   192.168.201.133   master   <none>           <none>
kubernetes-dashboard-7b5bf5d559-m6xt7        1/1     Running   0          17h   192.168.201.132   master   <none>           <none>
#这里可以找到主机

3.11这样就可以通过地址直接访问master的服务了

https://MASTER_IP:31766

忽略全部HTTPS安全警告
采用Token登录

搭建Kubernetes环境01

1、硬件网络环境
本次采用了云主机,搭建K8S环境
云主机最低配置要求为2Core,4G内存

节点名称 内网地址
master 172.16.172.101
node01 172.16.172.102
node02 172.16.172.103

2、配置k8s仓库,全部三个节点

sudo curl -s https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -

sudo vi /etc/apt/sources.list.d/kubernetes.list
deb http://apt.kubernetes.io/ kubernetes-xenial main

3、安装必要的软件,全部三个节点

sudo apt-get update
sudo apt-get install -y docker.io kubelet kubeadm kubectl

4、初始化master节点
4.1、可以预先拉取镜像

kubeadm config images pull

4.2、初始化kubeadm

sudo kubeadm init --pod-network-cidr=192.168.0.0/16
[init] Using Kubernetes version: v1.16.2
[preflight] Running pre-flight checks
[WARNING SystemVerification]: this Docker version is not on the list of validated versions: 17.12.1-ce. Latest validated version: 18.09
[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 [ubuntu18 kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 10.0.3.15]
[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 [ubuntu18 localhost] and IPs [10.0.3.15 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [ubuntu18 localhost] and IPs [10.0.3.15 127.0.0.1 ::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
[apiclient] All control plane components are healthy after 29.525105 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.16" 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 ubuntu18 as control-plane by adding the label "node-role.kubernetes.io/master=''"
[mark-control-plane] Marking the node ubuntu18 as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: 1zdpa5.vmcsacag4wj3a0gv
[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 172.16.172.101:6443 --token 1zdpa5.vmcsacag4wj3a0gv \
--discovery-token-ca-cert-hash sha256:7944eedc04dcc943aa795dc515c4e8cd2f9d78127e1cf88c1931a5778296bb97

4.3、初始化master节点

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

5、两个工作节点加入

sudo kubeadm join 172.16.172.101:6443 --token 1zdpa5.vmcsacag4wj3a0gv \
>    --discovery-token-ca-cert-hash sha256:7944eedc04dcc943aa795dc515c4e8cd2f9d78127e1cf88c1931a5778296bb97

[preflight] Running pre-flight checks
[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/
[preflight] Reading configuration from the cluster...
[preflight] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -oyaml'
[kubelet-start] Downloading configuration for the kubelet from the "kubelet-config-1.16" ConfigMap in the kube-system namespace
[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[kubelet-start] Activating the kubelet service
[kubelet-start] Waiting for the kubelet to perform the TLS Bootstrap...

This node has joined the cluster:
* Certificate signing request was sent to apiserver and a response was received.
* The Kubelet was informed of the new secure connection details.

Run 'kubectl get nodes' on the control-plane to see this node join the cluster.

6、在master查看节点情况

kubectl get nodes
NAME     STATUS     ROLES    AGE   VERSION
master   NotReady   master   15m   v1.16.2
node01   NotReady   <none>   10m   v1.16.2
node02   NotReady   <none>   10m   v1.16.2

Minikube搭建Kubernetes环境02_MacOS

MacOS搭建方法其实为:

minikube(vm-driver=xhyve)

1、首先要安装docker客户端及xhyve

#安装Docker客户端
curl -Lo docker.tgz https://download.docker.com/mac/static/stable/x86_64/docker-17.09.0-ce.tgz
#解压docker.tgz得到docker(我直接用了一个GUI工具解压的)
chmod +x docker
sudo mv docker/usr/local/bin/

#安装xhyve
#https://brew.sh/
brew install docker-machine-driver-xhyve

2、下载minikube及kubectl

curl -Lo minikube https://storage.googleapis.com/minikube/releases/v1.8.4/minikube-darwin-amd64
chmod +x minikube
sudo mv minikube /usr/local/bin/

curl -Lo kubectl https://storage.googleapis.com/kubernetes-release/release/v1.8.4/bin/darwin/amd64/kubectl
chmod +x kubectl
sudo mv kubectl /usr/local/bin/

3、启动minikube

minikube version

#直连方式
minikube start --vm-driver=xhyve

#代理方式
minikube start --vm-driver=xhyve --docker-env HTTP_PROXY=http://ip:port --docker-env HTTPS_PROXY=http://ip:port

2、准备一个自己的docker虚拟机
Dockerfile

FROM node:6.12.0
EXPOSE 8080
COPY myserver.js .
CMD node myserver.js

myserver.js

var http = require('http');

var handleRequest = function(request, response) {
console.log('Received request for URL: ' + request.url);
response.writeHead(200);
response.end('Hello World!');
};

var www = http.createServer(handleRequest);

www.listen(8080);

创建镜像

#设置minikube的docker环境
eval $(minikube docker-env)

#构建image,镜像会构建到minikube开启的虚拟机中
docker build -t myserver:1.0.0 .

#在minikube开启的虚拟机中运行container
sudo docker run -itd --name=myserver -p8080:8080 myserver:1.0.0

#测试
wget ip:8080

5、用kubectl部署服务

#切换context
kubectl config use-context minikube

#进行一个部署
kubectl run hikub01 --image=myserver:1.0.0 --port=8080

#查看pods
kubectl get pods

#查看部署
kubectl get deployments

#暴露服务
kubectl expose deployment hikub01 --type=LoadBalancer

#查看服务
kubectl get services

#查看服务信息
minikube service hikub01

#可以根据输出,在浏览器或wget访问服务

6、查看管理界面

minikube dashboard

7、清理

#退出minikube的docker环境
eval $(minikube docker-env -u)

#删除服务
kubectl delete service hikub01

#删除部署
kubectl delete deployment hikub01

#停掉minikube
minikube stop

#清理全部下载的信息
minikube delete

常见问题:
1、如果一直无法创建pod,那就是无法从google下载需要的镜像,需要配置docker的代理

#查看pod状况
kubectl get pods

#测试是否可以联通
curl --proxy "" https://cloud.google.com/container-registry/

2、有两种方法来解决

2.1、用代理的方法来解决

#测试代理是否可以联通
curl --proxy "http://ip:port" https://cloud.google.com/container-registry/

#如果代理可以联通,启动minkube时,就要指定代理了
minikube start --vm-driver=xhyve --docker-env HTTP_PROXY=http://ip:port --docker-env HTTPS_PROXY=http://ip:port

2.2、用国内镜像来解决

sudo docker pull registry.aliyuncs.com/archon/pause-amd64:3.0

Minikube搭建Kubernetes环境01_Ubuntu

由于我的Ubuntu是在VirtualBox虚拟机中搭建的,所以这种搭建方法其实为:

minikube(vm-driver=none) + docker

1、首先要安装docker

apt update
apt upgrade
apt-get install docker

2、准备一个自己的docker虚拟机
Dockerfile

FROM node:6.12.0
EXPOSE 8080
COPY myserver.js .
CMD node myserver.js

myserver.js

var http = require('http');

var handleRequest = function(request, response) {
  console.log('Received request for URL: ' + request.url);
  response.writeHead(200);
  response.end('Hello World!');
};

var www = http.createServer(handleRequest);

www.listen(8080);

创建镜像

#测试myserver.js
nodejs myserver.js

#构建image
sudo docker build -t myserver:1.0.0 .

#运行container
sudo docker run -itd --name=myserver -p8080:8080 myserver:1.0.0

#测试
wget localhost:8080

3、下载minikube及kubectl

curl -Lo minikube https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
chmod +x minikube
sudo mv minikube /usr/local/bin/

curl -Lo kubectl https://storage.googleapis.com/kubernetes-release/release/v1.8.4/bin/linux/amd64/kubectl
chmod +x kubectl
sudo mv kubectl /usr/local/bin/

4、启动minikube

minikube version
minikube --vm-driver=none start

5、用kubectl部署服务

#切换context
kubectl config use-context minikube

#进行一个部署
kubectl run hikub01 --image=myserver:1.0.0 --port=8080

#查看pods
kubectl get pods

#查看部署
kubectl get deployments

#暴露服务
kubectl expose deployment hikub01 --type=LoadBalancer

#查看服务
kubectl get services

#查看服务信息
minikube service hikub01

#可以根据输出,在浏览器或wget访问服务

6、管理界面

kubectl proxy --address='172.16.172.71'  --accept-hosts='.*' --accept-paths='.*'

浏览器访问:
http://172.16.172.71:8001/
http://172.16.172.71:8001/ui

7、清理

#删除服务
kubectl delete service hikub01

#删除部署
kubectl delete deployment hikub01

#停掉minikube 
minikube stop

#清理全部下载的信息
minikube delete

常见问题:
1、如果一直无法创建pod,那就是无法从google下载需要的镜像,需要配置docker的代理

#查看pod状况
kubectl get pods

#查看docker日志
journalctl -u docker.service

#测试是否可以联通
curl --proxy "" https://cloud.google.com/container-registry/

有两种方法来解决

1.1、用代理的方法来解决

#测试代理是否可以联通
curl --proxy "http://ip:port" https://cloud.google.com/container-registry/

#如果代理可以联通,就要配置docker守护进程使用代理了
sudo vim /etc/default/docker
#在文件中增加以下两行
http_proxy="ip:port"
https_proxy="ip:port"

#重启docker守护进程
sudo service docker restart

1.2、用国内镜像来解决

sudo docker pull registry.aliyuncs.com/archon/pause-amd64:3.0

2、未安装auplink

Couldn't run auplink before unmount: exec: "auplink": executable file not found in $PATH 
sudo apt-get install cgroup-lite
sudo apt-get install aufs-tools