利用K8S技术栈打造个人私有云(连载之:K8S集群搭建)

利用K8S技术栈打造个人私有云(连载之:K8S集群搭建)_第1张图片
iPhone 5S

最近被业务折腾的死去活来,实在没时间发帖,花了好多个晚上才写好这篇帖子,后续会加油的!


【利用K8S技术栈打造个人私有云系列文章目录】

  • 利用K8S技术栈打造个人私有云(连载之:初章)
  • 利用K8S技术栈打造个人私有云(连载之:K8S集群搭建)
  • 利用K8S技术栈打造个人私有云(连载之:K8S环境理解和练手)
  • 利用K8S技术栈打造个人私有云(连载之:基础镜像制作与实验)
  • 利用K8S技术栈打造个人私有云(连载之:资源控制研究)
  • 利用K8S技术栈打造个人私有云(连载之:私有云客户端打造)

注: 本文原载于 My Personal Blog:CodeSheep · 程序羊


环境介绍

玩集群嘛,当然要搞几台机器做节点!无赖自己并没有性能很强劲的多余机器,在家里翻箱倒柜,找出了几台破旧的本子,试试看吧,与其垫桌脚不如拿出来遛遛弯...

总体环境安排如下图所示:

利用K8S技术栈打造个人私有云(连载之:K8S集群搭建)_第2张图片
集群总体架构布局

各部分简介如下:

Master节点 ( 一台08年买的Hedy笔记本 Centos7.3 64bit )

利用K8S技术栈打造个人私有云(连载之:K8S集群搭建)_第3张图片
HEDY
  • docker
  • etcd
  • flannel
  • kube-apiserver
  • kube-scheduler
  • kube-controller-manager

Slave节点 ( 一台二手Thinkpad T420s Centos7.3 64bit )

利用K8S技术栈打造个人私有云(连载之:K8S集群搭建)_第4张图片
Thinkpad T420s
  • docker
  • flannel
  • kubelet
  • kube-proxy

Client节点( 一台12年的Sony Vaio SVS13 Win7 Ultimate)

  • 客户端嘛,毕竟甲方,不需要安装啥东西,有个ssh客户端能连到master和slave节点就OK

Docker镜像仓库

  • 一般企业内部应用的话,其会搭建自己的docker registry,用作镜像仓库,我这里就直接用Docker Gub作为镜像仓库,自己不搭建了(其实主要是没机子啊!)

Wireless Router (雷猴子家的小米路由器3)

  • 最好能穿墙,因为我家路由器放在客厅,但我实验是在卧室里做的啊!

各部分全部都是由wifi进行互联,我个人不太喜欢一大堆线绕来绕去


环境准备

  1. 先设置master节点和所有slave节点的主机名

master上执行:

hostnamectl --static set-hostname  k8s-master

slave上执行:

hostnamectl --static set-hostname  k8s-node-1
  1. 修改master和slave上的hosts

在master和slave的/etc/hosts文件中均加入以下内容:

192.168.31.166   k8s-master
192.168.31.166   etcd
192.168.31.166   registry
192.168.31.199   k8s-node-1
  1. 关闭master和slave上的防火墙
systemctl disable firewalld.service
systemctl stop firewalld.service

部署Master节点

master节点需要安装以下组件:

  • etcd
  • flannel
  • docker
  • kubernets

下面按顺序阐述

1. etcd安装

  • 安装命令:yum install etcd -y
  • 编辑etcd的默认配置文件/etc/etcd/etcd.conf
# [member]
ETCD_NAME=master
ETCD_DATA_DIR="/var/lib/etcd/default.etcd"
#ETCD_WAL_DIR=""
#ETCD_SNAPSHOT_COUNT="10000"
#ETCD_HEARTBEAT_INTERVAL="100"
#ETCD_ELECTION_TIMEOUT="1000"
#ETCD_LISTEN_PEER_URLS="http://localhost:2380"
ETCD_LISTEN_CLIENT_URLS="http://0.0.0.0:2379,http://0.0.0.0:4001"
#ETCD_MAX_SNAPSHOTS="5"
#ETCD_MAX_WALS="5"
#ETCD_CORS=""
#
#[cluster]
#ETCD_INITIAL_ADVERTISE_PEER_URLS="http://localhost:2380"
# if you use different ETCD_NAME (e.g. test), set ETCD_INITIAL_CLUSTER value for this name, i.e. "test=http://..."
#ETCD_INITIAL_CLUSTER="default=http://localhost:2380"
#ETCD_INITIAL_CLUSTER_STATE="new"
#ETCD_INITIAL_CLUSTER_TOKEN="etcd-cluster"
ETCD_ADVERTISE_CLIENT_URLS="http://etcd:2379,http://etcd:4001"
#ETCD_DISCOVERY=""
#ETCD_DISCOVERY_SRV=""
#ETCD_DISCOVERY_FALLBACK="proxy"
#ETCD_DISCOVERY_PROXY=""
#ETCD_STRICT_RECONFIG_CHECK="false"
#ETCD_AUTO_COMPACTION_RETENTION="0"
#ETCD_ENABLE_V2="true"
#
#[proxy]
#ETCD_PROXY="off"
#ETCD_PROXY_FAILURE_WAIT="5000"
#ETCD_PROXY_REFRESH_INTERVAL="30000"
#ETCD_PROXY_DIAL_TIMEOUT="1000"
#ETCD_PROXY_WRITE_TIMEOUT="5000"
#ETCD_PROXY_READ_TIMEOUT="0"
#
#[security]
#ETCD_CERT_FILE=""
#ETCD_KEY_FILE=""
#ETCD_CLIENT_CERT_AUTH="false"
#ETCD_TRUSTED_CA_FILE=""
#ETCD_AUTO_TLS="false"
#ETCD_PEER_CERT_FILE=""
#ETCD_PEER_KEY_FILE=""
#ETCD_PEER_CLIENT_CERT_AUTH="false"
#ETCD_PEER_TRUSTED_CA_FILE=""
#ETCD_PEER_AUTO_TLS="false"
#
#[logging]
#ETCD_DEBUG="false"
# examples for -log-package-levels etcdserver=WARNING,security=DEBUG
#ETCD_LOG_PACKAGE_LEVELS=""
#
#[profiling]
#ETCD_ENABLE_PPROF="false"
#ETCD_METRICS="basic"
#
#[auth]
#ETCD_AUTH_TOKEN="simple"
  • 启动etcd并验证

首先启动etcd服务

systemctl start etcd // 启动etcd服务

再获取etcd的健康指标看看:

etcdctl -C http://etcd:2379 cluster-health
etcdctl -C http://etcd:4001 cluster-health
利用K8S技术栈打造个人私有云(连载之:K8S集群搭建)_第5张图片
查看etcd集群健康度

2. flannel安装

  • 安装命令:yum install flannel
  • 配置flannel:/etc/sysconfig/flanneld
# Flanneld configuration options  

# etcd url location.  Point this to the server where etcd runs
FLANNEL_ETCD_ENDPOINTS="http://etcd:2379"

# etcd config key.  This is the configuration key that flannel queries
# For address range assignment
FLANNEL_ETCD_PREFIX="/atomic.io/network"

# Any additional options that you want to pass
#FLANNEL_OPTIONS=""
  • 配置etcd中关于flannel的key
etcdctl mk /atomic.io/network/config '{ "Network": "10.0.0.0/16" }'
配置etcd中关于flannel的key
  • 启动flannel并设置开机自启
systemctl start flanneld.service
systemctl enable flanneld.service

3. docker安装

该部分网上教程太多了,主要步骤如下

  • 安装命令:yum install docker -y
  • 开启docker服务:service docker start
  • 设置docker开启自启动:chkconfig docker on

4. kubernets安装

k8s的安装命令很简单,执行:

yum install kubernetes

但k8s需要配置的东西比较多,正如第一节“环境介绍”中提及的,毕竟master上需要运行以下组件:

  • kube-apiserver
  • kube-scheduler
  • kube-controller-manager

下面详细阐述:

  • 配置/etc/kubernetes/apiserver文件
###
# kubernetes system config
#
# The following values are used to configure the kube-apiserver
#

# The address on the local server to listen to.
KUBE_API_ADDRESS="--address=0.0.0.0"

# The port on the local server to listen on.
KUBE_API_PORT="--port=8080"

# Port minions listen on
KUBELET_PORT="--kubelet-port=10250"

# Comma separated list of nodes in the etcd cluster
KUBE_ETCD_SERVERS="--etcd-servers=http://etcd:2379"

# Address range to use for services
KUBE_SERVICE_ADDRESSES="--service-cluster-ip-range=10.254.0.0/16"

# default admission control policies
# KUBE_ADMISSION_CONTROL="--admission-control=NamespaceLifecycle,NamespaceExists,LimitRanger,SecurityContextDeny,ServiceAccount,ResourceQuota"
KUBE_ADMISSION_CONTROL="--admission-control=NamespaceLifecycle,NamespaceExists,LimitRanger,SecurityContextDeny,ResourceQuota"

# Add your own!
KUBE_API_ARGS=""
  • 配置/etc/kubernetes/config文件
###
# kubernetes system config
#
# The following values are used to configure various aspects of all
# kubernetes services, including
#
#   kube-apiserver.service
#   kube-controller-manager.service
#   kube-scheduler.service
#   kubelet.service
#   kube-proxy.service
# logging to stderr means we get it in the systemd journal
KUBE_LOGTOSTDERR="--logtostderr=true"

# journal message level, 0 is debug
KUBE_LOG_LEVEL="--v=0"

# Should this cluster be allowed to run privileged docker containers
KUBE_ALLOW_PRIV="--allow-privileged=false"

# How the controller-manager, scheduler, and proxy find the apiserver
KUBE_MASTER="--master=http://k8s-master:8080"
  • 启动k8s各个组件
systemctl start kube-apiserver.service
systemctl start kube-controller-manager.service
systemctl start kube-scheduler.service
  • 设置k8s各组件开机启动
systemctl enable kube-apiserver.service
systemctl enable kube-controller-manager.service
systemctl enable kube-scheduler.service

部署Slave节点

slave节点需要安装以下组件:

  • flannel
  • docker
  • kubernetes

下面按顺序阐述:

1. flannel安装

  • 安装命令:yum install flannel
  • 配置flannel:/etc/sysconfig/flanneld
# Flanneld configuration options  

# etcd url location.  Point this to the server where etcd runs
FLANNEL_ETCD_ENDPOINTS="http://etcd:2379"

# etcd config key.  This is the configuration key that flannel queries
# For address range assignment
FLANNEL_ETCD_PREFIX="/atomic.io/network"

# Any additional options that you want to pass
#FLANNEL_OPTIONS=""
  • 启动flannel并设置开机自启
systemctl start flanneld.service
systemctl enable flanneld.service

2. docker安装

参考前文master节点上部署docker过程,此处不再赘述

3. kubernetes安装

安装命令:yum install kubernetes

不同于master节点,slave节点上需要运行kubernetes的如下组件:

  • kubelet
  • kubernets-proxy

下面详细阐述要配置的东西:

  • 配置/etc/kubernetes/config
###
# kubernetes system config
#
# The following values are used to configure various aspects of all
# kubernetes services, including
#
#   kube-apiserver.service
#   kube-controller-manager.service
#   kube-scheduler.service
#   kubelet.service
#   kube-proxy.service
# logging to stderr means we get it in the systemd journal
KUBE_LOGTOSTDERR="--logtostderr=true"

# journal message level, 0 is debug
KUBE_LOG_LEVEL="--v=0"

# Should this cluster be allowed to run privileged docker containers
KUBE_ALLOW_PRIV="--allow-privileged=false"

# How the controller-manager, scheduler, and proxy find the apiserver
KUBE_MASTER="--master=http://k8s-master:8080"
  • 配置/etc/kubernetes/kubelet
###
# kubernetes kubelet (minion) config

# The address for the info server to serve on (set to 0.0.0.0 or "" for all interfaces)
KUBELET_ADDRESS="--address=0.0.0.0"

# The port for the info server to serve on
# KUBELET_PORT="--port=10250"

# You may leave this blank to use the actual hostname
KUBELET_HOSTNAME="--hostname-override=k8s-node-1"

# location of the api-server
KUBELET_API_SERVER="--api-servers=http://k8s-master:8080"

# pod infrastructure container
KUBELET_POD_INFRA_CONTAINER="--pod-infra-container-image=registry.access.redhat.com/rhel7/pod-infrastructure:latest"

# Add your own!
KUBELET_ARGS=""
  • 启动kube服务
systemctl start kubelet.service
systemctl start kube-proxy.service
  • 设置k8s组件开机自启
systemctl enable kubelet.service
systemctl enable kube-proxy.service

至此为止,k8s集群的搭建过程就完成了,下面来验证一下集群是否搭建成功了

验证集群状态

  • 查看端点信息:kubectl get endpoints
利用K8S技术栈打造个人私有云(连载之:K8S集群搭建)_第6张图片
端点信息
  • 查看集群信息:kubectl cluster-info
利用K8S技术栈打造个人私有云(连载之:K8S集群搭建)_第7张图片
集群信息
  • 获取集群中的节点状态: kubectl get nodes
利用K8S技术栈打造个人私有云(连载之:K8S集群搭建)_第8张图片
获取集群中的节点状态

OK,节点已经就绪,可以在上面做实验了!


参考文献

  • https://www.kubernetes.org.cn/

后记

由于能力有限,若有错误或者不当之处,还请大家批评指正,一起学习交流!

  • My Personal Blog
  • 我的半年技术博客之路


你可能感兴趣的:(利用K8S技术栈打造个人私有云(连载之:K8S集群搭建))