kubernetes(一)——使用Minikube在本地运行单节点kubernetes集群

Kubernetes简介

Kubernetes是一个用于管理容器化的工作负载和服务的便携式、可扩展的开源平台,有助于声明式配置和自动化。Kubernetes有一个庞大且快速生长的生态系统,服务、支持和工具已广泛应用。
谷歌于2014年将Kubernetes项目开源。通常简称k8s。

环境搭建

安装环境为 ubuntu 16.04。

  1. docker
    确保docker服务已安装并正常运行,检查方法为执行docker run hello-world,能看到运行结果。

  2. kubectl
    kubectl是kubernetes的命令行工具,通过它进行k8s集群资源监控;新建、删除、修改组件;部署和管理应用。

  • 安装
# ubuntu可使用snap安装
sudo snap install kubectl
# check是否安装成功
kubectl version
  • 配置
    配置文件通常位置 ~/.kube/config,配置信息包括:context、user、cluster、cert等。
# 查看集群信息
kubectl cluster-info
  1. Minikube
    Minikube 是一个使我们很容易在本地运行 kubernetes 的工具,他是通过在本机 VM 里运行一个单节点 kubernetes 集群,这对于新手想了解和学习 kubernetes 提供了很大的帮助。
  • Linux安装without VM
curl -Lo minikube https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64 && chmod +x minikube
curl -Lo kubectl https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/linux/amd64/kubectl && chmod +x kubectl

export MINIKUBE_WANTUPDATENOTIFICATION=false
export MINIKUBE_WANTREPORTERRORPROMPT=false
export MINIKUBE_HOME=$HOME
export CHANGE_MINIKUBE_NONE_USER=true
mkdir $HOME/.kube || true
touch $HOME/.kube/config

export KUBECONFIG=$HOME/.kube/config
sudo -E ./minikube start --vm-driver=none

# this for loop waits until kubectl can access the api server that Minikube has created
for i in {1..150}; do # timeout for 5 minutes
   ./kubectl get po &> /dev/null
   if [ $? -ne 1 ]; then
      break
  fi
  sleep 2
done

# kubectl commands are now able to interact with Minikube cluster
  • 使用kubectl连接minikube并进行一些基本操作。Linux only。
$ minikube start
Starting local Kubernetes v1.7.5 cluster...
Starting VM...
SSH-ing files into VM...
Setting up certs...
Starting cluster components...
Connecting to cluster...
Setting up kubeconfig...
Kubectl is now configured to use the cluster.

$ kubectl run hello-minikube --image=k8s.gcr.io/echoserver:1.4 --port=8080
deployment "hello-minikube" created
$ kubectl expose deployment hello-minikube --type=NodePort
service "hello-minikube" exposed

# We have now launched an echoserver pod but we have to wait until the pod is up before curling/accessing it
# via the exposed service.
# To check whether the pod is up and running we can use the following:
$ kubectl get pod
NAME                              READY     STATUS              RESTARTS   AGE
hello-minikube-3383150820-vctvh   1/1       ContainerCreating   0          3s
# We can see that the pod is still being created from the ContainerCreating status
$ kubectl get pod
NAME                              READY     STATUS    RESTARTS   AGE
hello-minikube-3383150820-vctvh   1/1       Running   0          13s
# We can see that the pod is now Running and we will now be able to curl it:
$ curl $(minikube service hello-minikube --url)
CLIENT VALUES:
client_address=192.168.99.1
command=GET
real path=/
...
$ kubectl delete service hello-minikube
service "hello-minikube" deleted
$ kubectl delete deployment hello-minikube
deployment "hello-minikube" deleted
$ minikube stop
Stopping local Kubernetes cluster...
Machine stopped.

kubernetes dashboard

运行minikube dashboard,打开kubernetes dashboard,可以看到集群的负载、任务、Pods等。
好啦,开启k8s之旅吧~

kubernetes(一)——使用Minikube在本地运行单节点kubernetes集群_第1张图片
kubernetes dashboard

后记(踩坑记)

kubernetes的坑真的一个接一个啊,最近一周都是失足少女状态。
First of all,Never try to set up an environment in windows.
Then,下面记录了几个印象深刻的坑。

  • 获取kubernetes依赖镜像
    minikube start时运行kubeadm init命令时,程序一直卡在那里,查询journalctl日志后发现一直在拉取国外k8s.gcr.io的镜像,但国内k8s.gcr.io镜像被墙,所以就卡在那里了。
    解决方法是自己在docker hub上用docker autobuild做了镜像。当然也可以去搜索别人已经做好的镜像,找到对应版本就好了。
    从别人那里fork过来的镜像库,自己改了一些docker源。https://github.com/treephie/docker-library
# 使用方法就是,先docker pull到本地,再docker tag成谷歌的地址和版本。
docker pull treeph/kube-addon-manager
docker pull treeph/k8s-dns-dnsmasq-nanny-amd64
docker pull treeph/kubernetes-dashboard-amd64
docker pull treeph/kube-proxy-amd64
docker pull treeph/k8s-dns-sidecar-amd64
docker pull treeph/k8s-dns-kube-dns-amd64
docker pull treeph/pause-amd64
docker pull treeph/etcd-amd64
docker pull treeph/kube-scheduler-amd64
docker pull treeph/kube-controller-manager-amd64
docker pull treeph/kube-apiserver-amd64
docker tag treeph/kube-addon-manager:latest k8s.gcr.io/kube-addon-manager:v8.6
docker tag treeph/k8s-dns-dnsmasq-nanny-amd64:latest k8s.gcr.io/k8s-dns-dnsmasq-nanny-amd64:1.14.4
docker tag treeph/kubernetes-dashboard-amd64:latest k8s.gcr.io/kubernetes-dashboard-amd64:v1.8.1
docker tag treeph/kube-proxy-amd64:latest k8s.gcr.io/kube-proxy-amd64:v1.10.0
docker tag treeph/k8s-dns-sidecar-amd64:latest k8s.gcr.io/k8s-dns-sidecar-amd64:1.14.4
docker tag treeph/k8s-dns-kube-dns-amd64:latest k8s.gcr.io/k8s-dns-kube-dns-amd64:1.14.4
docker tag treeph/pause-amd64:latest k8s.gcr.io/pause-amd64:3.1
docker tag treeph/etcd-amd64:latest k8s.gcr.io/etcd-amd64:3.1.12
docker tag treeph/kube-scheduler-amd64:latest k8s.gcr.io/kube-scheduler-amd64:v1.10.0
docker tag treeph/kube-controller-manager-amd64:latest k8s.gcr.io/kube-controller-manager-amd64:v1.10.0
docker tag treeph/kube-apiserver-amd64:latest k8s.gcr.io/kube-apiserver-amd64:v1.10.0

# 完成后查看本地镜像
treeph@treeph-VirtualBox:~$ docker images
REPOSITORY                                 TAG                 IMAGE ID            CREATED             SIZE
k8s.gcr.io/kube-addon-manager              v8.6                e7ffc6793f17        7 hours ago         78.4 MB
k8s.gcr.io/k8s-dns-dnsmasq-nanny-amd64     1.14.4              a873e1b191b4        7 hours ago         41.4 MB
k8s.gcr.io/kubernetes-dashboard-amd64      v1.8.1              bb065852c246        23 hours ago        121 MB
k8s.gcr.io/kube-proxy-amd64                v1.10.0             064653de4df1        23 hours ago        97 MB
k8s.gcr.io/k8s-dns-sidecar-amd64           1.14.4              39798ae6e4ee        24 hours ago        41.8 MB
k8s.gcr.io/k8s-dns-kube-dns-amd64          1.14.4              10625de58167        24 hours ago        41.4 MB
k8s.gcr.io/pause-amd64                     3.0                 62eaddb725bb        24 hours ago        747 kB
k8s.gcr.io/pause-amd64                     3.1                 62eaddb725bb        24 hours ago        747 kB
k8s.gcr.io/etcd-amd64                      3.1.12              1572aa534c99        4 days ago          193 MB
k8s.gcr.io/kube-scheduler-amd64            v1.10.0             bbd569e45bcb        4 days ago          50.4 MB
k8s.gcr.io/kube-controller-manager-amd64   v1.10.0             4afb144bd444        4 days ago          148 MB
k8s.gcr.io/kube-apiserver-amd64            v1.10.0             b59ed8fe408e        4 days ago          225 MB

更详细的步骤参考这篇博文:https://www.cnblogs.com/ericnie/p/7749588.html

  • Port 10250 is already in use
    可能的导致原因是kubeadm init之前运行过,已经做了一些配置。
    再次运行之前需要将之前的配置操作重置,执行kubeadm reset即可。
    重置之后再重新minikube start或者kubeadm init,应该就好了。

参考StackOverflow: https://stackoverflow.com/questions/41732265/how-to-use-kubeadm-to-create-kubernetest-cluster

  • 执行minikube命令报错Permission denied
    尝试加sudo,如果成功执行的话是权限问题,minikube安装成功后修改文件所属和组权限,从root改到普通用户。
sudo chown -R $USER $HOME/.minikube
sudo chgrp -R $USER $HOME/.minikube
  • dial tcp x.x.x.x:x. connection refused
    检查是否docker环境未好,检查方法是docker run hello-world

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