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第三章——k8s集群.md
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## 第三章——k8s集群
> 我们来回顾一下并学习一些必要知识
[k8s中文社区docs.kubernetes.org.cn](http://docs.kubernetes.org.cn/)
##### K8S核心资源管理方法
~~~
# 任意机器(我是在21)
# 查看名称空间
~]# kubectl get namespace
~]# kubectl get ns
~~~
![1579073760060](assets/1579073760060.png)
~~~
# 任意机器(我是在21)
~]# kubectl get all [-n default]
~]# kubectl create ns app
# 增
~]# kubectl create ns app
# 删
~]# kubectl delete namespace app
# 查
~]# kubectl get ns
# 创建deployment资源
kubectl create deployment nginx-dp --image=harbor.od.com/public/nginx:v1.7.9 -n kube-public
# 查指定空间
~]# kubectl get deploy -n kube-public
~]# kubectl get pods -o wide -n kube-public
~]# kubectl describe deployment nginx-dp -n kube-public
# 进入pod资源
21 ~]# kubectl get pods -n kube-public
21 ~]# kubectl exec -ti nginx-dp-5dfc689474-9zt9r /bin/bash -n kube-public
~~~
> **kubectl get deploy**:这里的deploy是容器类型,deploy也是deployment
>
> **kubectl exec**:进入容器
>
> - -t:将标准输入控制台作为容器的控制台输入
> - -i:将控制台输入发送到容器
> - 一般是连起来用-it,后面带的是get出来的容器名
> - /bin/bash:终端模式
![1579075596641](assets/1579075596641.png)
~~~
# 删除pod资源(重启),pod控制器预期你有一个pod,所以你删掉就会重启,后面force是强制删除
21 ~]# kubectl delete pod nginx-dp-5dfc689474-gtfvv -n kube-public [--force --grace-period=0]
# 删掉deploy
21 ~]# kubectl delete deploy nginx-dp -n kube-public
# 查看
21 ~]# kubectl get all -n kube-public
~~~
![1579076172922](assets/1579076172922.png)
##### 管理service资源
~~~
# 21机器
# 创建
~]# kubectl create deployment nginx-dp --image=harbor.od.com/public/nginx:v1.7.9 -n kube-public
~]# kubectl get all -n kube-public
# 暴露端口
~]# kubectl expose deployment nginx-dp --port=80 -n kube-public
~]# kubectl get all -n kube-public -o wide
~~~
> **kubectl expose**:暴露端口,后面的--port=80 指的是暴露80端口
![1579077073962](assets/1579077073962.png)
~~~
# 去22机器
~]# curl 192.168.81.37
~]# ipvsadm -Ln
~~~
![1579077146418](assets/1579077146418.png)
![1579077275447](assets/1579077275447.png)
~~~
# 做成两份代理服务器,22机器
~]# kubectl scale deployment nginx-dp --replicas=2 -n kube-public
~]# ipvsadm -Ln
~~~
> **kubectl scale:** 扩容或缩容 Deployment等中Pod数量
>
> - --replicas=2:把Pod数量改为2,即如果之前是1则扩容变成2,如果之前是3则缩容变成2
可以看到下面的Pod已经变成了两个,而上图是只有一个的
![1579077403598](assets/1579077403598.png)
~~~
# 获取资源配置清单,21机器
~]# kubectl get pods -n kube-public
~]# kubectl get pods nginx-dp-5dfc689474-788xp -o yaml -n kube-public
# 解释怎么用
~]# kubectl explain service.metadata
~~~
> 资源清单的内容解释由于太多,这里就不做解析了,感兴趣的朋友可以网上搜下
![1579079365291](assets/1579079365291.png)
~~~
# 声明式、21机器:
~]# vi nginx-ds-svc.yaml
apiVersion: v1
kind: Service
metadata:
labels:
app: nginx-ds
name: nginx-ds
namespace: default
spec:
ports:
- port: 80
protocol: TCP
targetPort: 80
selector:
app: nginx-ds
sessionAffinity: None
type: ClusterIP
~]# kubectl create -f nginx-ds-svc.yaml
# out: service/nginx-ds created
~]# kubectl get svc -n default
~]# kubectl get svc nginx-ds -o yaml
~~~
![1579079818058](assets/1579079818058.png)
~~~
# 修改资源,在线方式:
~]# kubectl edit svc nginx-ds
~]# kubectl get svc
# 离线:删了再打开,离线修改有记录
# 删除资源,实验,按照以下方法是无法删除的~去找一下吧
# 陈述式
~]# kubectl delete -f nginx-ds
# 声明式
~]# kubectl delete -f nginx-dp-svc.yaml
~~~
> 当然删不了也无所谓
![1579085057843](assets/1579085057843.png)
回顾完成
### 安装部署flanneld
> **WHAT**:通过给每台宿主机分配一个子网的方式为容器提供虚拟网络(覆盖网络),该网络中的结点可以看作通过虚拟或逻辑链路而连接起来的
>
> **WHY**:我们生产上的集群宿主机/容器之间必须是互通的,因为只有互通才能形成集群,要是集群间的宿主机和容器都不互通,那就没有做集群的必要了
~~~
# 你可以做如下尝试,21机器:
~]# kubectl get pods -o wide
~]# ping 172.7.21.2
~]# ping 172.7.22.2
~~~
![1579141174992](assets/1579141174992.png)
> 你可以发现,两个容器的宿主机之间是不互通的,更别说进入容器里面了。(当然ping10.4.7.22是没问题的)
>
> 这时候我们就需要CNI网络插件,CNI最主要的功能是实现POD资源能够跨宿主机进行通信,当然CNI网络插件有很多种,如Flannel、Calico等,而Flannel是目前市场上最为火热的
~~~~
# 21/22机器:
~]# cd /opt/src/
src]# wget https://github.com/coreos/flannel/releases/download/v0.11.0/flannel-v0.11.0-linux-amd64.tar.gz
src]# mkdir /opt/flannel-v0.11.0
src]# tar xf flannel-v0.11.0-linux-amd64.tar.gz -C /opt/flannel-v0.11.0/
src]# ln -s /opt/flannel-v0.11.0/ /opt/flannel
src]# cd /opt/flannel
flannel]# ll
# out:总用量 34436
flannel]# mkdir cert
flannel]# cd cert/
cert]# scp hdss7-200:/opt/certs/ca.pem .
cert]# scp hdss7-200:/opt/certs/client.pem .
cert]# scp hdss7-200:/opt/certs/client-key.pem .
cert]# cd ..
# 注意机器名,需要改一处:SUBNET=172.7.21.1/24,需要改成SUBNET=172.7.22.1/24
flannel]# vi subnet.env
FLANNEL_NETWORK=172.7.0.0/16
FLANNEL_SUBNET=172.7.21.1/24
FLANNEL_MTU=1500
FLANNEL_IPMASQ=false
~~~~
![1579144065680](assets/1579144065680.png)
~~~
# 21/22机器,注意,我的网络是eth0,新版的是ens33,如果是ens33,则需要改iface,其它需要改一处机器名:ip=10.4.7.21
flannel]# vi flanneld.sh
#!/bin/sh
./flanneld \
--public-ip=10.4.7.21 \
--etcd-endpoints=https://10.4.7.12:2379,https://10.4.7.21:2379,https://10.4.7.22:2379 \
--etcd-keyfile=./cert/client-key.pem \
--etcd-certfile=./cert/client.pem \
--etcd-cafile=./cert/ca.pem \
--iface=eth0 \
--subnet-file=./subnet.env \
--healthz-port=2401
flannel]# chmod +x flanneld.sh
flannel]# mkdir -p /data/logs/flanneld
flannel]# cd /opt/etcd
# 下面这一步在一部机器上执行即可,只需执行一次,我在21机器做的:
etcd]# ./etcdctl set /coreos.com/network/config '{"Network": "172.7.0.0/16", "Backend": {"Type": "host-gw"}}'
etcd]# ./etcdctl get /coreos.com/network/config
# out:{"Network": "172.7.0.0/16", "Backend": {"Type": "host-gw"}}
# 有一处要修改,21/22机器:flanneld-7-21]
etcd]# vi /etc/supervisord.d/flannel.ini
[program:flanneld-7-21]
command=/opt/flannel/flanneld.sh ; the program (relative uses PATH, can take args)
numprocs=1 ; number of processes copies to start (def 1)
directory=/opt/flannel ; directory to cwd to before exec (def no cwd)
autostart=true ; start at supervisord start (default: true)
autorestart=true ; retstart at unexpected quit (default: true)
startsecs=30 ; number of secs prog must stay running (def. 1)
startretries=3 ; max # of serial start failures (default 3)
exitcodes=0,2 ; 'expected' exit codes for process (default 0,2)
stopsignal=QUIT ; signal used to kill process (default TERM)
stopwaitsecs=10 ; max num secs to wait b4 SIGKILL (default 10)
user=root ; setuid to this UNIX account to run the program
redirect_stderr=true ; redirect proc stderr to stdout (default false)
stdout_logfile=/data/logs/flanneld/flanneld.stdout.log ; stderr log path, NONE for none; default AUTO
stdout_logfile_maxbytes=64MB ; max # logfile bytes b4 rotation (default 50MB)
stdout_logfile_backups=4 ; # of stdout logfile backups (default 10)
stdout_capture_maxbytes=1MB ; number of bytes in 'capturemode' (default 0)
stdout_events_enabled=false ; emit events on stdout writes (default false)
etcd]# supervisorctl update
etcd]# supervisorctl status
# 查看细节信息
etcd]# tail -fn 200 /data/logs/flanneld/flanneld.stdout.log
# 两部机器完成后,在21和22机器ping对方,已经可以ping通
~~~
![1579147672612](assets/1579147672612.png)
完成
flannel原理:添加静态路由(前提条件,必须处在同一网关之下)
利用10.4.7.x本来互通的前提,172先去找10再转到其下面的172,形成互通
![1582269815607](assets/1582269815607.png)
> 再次复习一遍,10的21机器对应的172的21,这样方便知道那些pod在那些机器上
### flannel之SNAT规则优化
> **WHAT**:使得容器之间的透明访问
>
> **WHY**:解决两宿主机容器之间的透明访问,如不进行优化,容器之间的访问,日志记录为宿主机的IP地址
~~~
# 把nginx:curl拉下来,21机器
~]# docker login docker.io/909336740/nginx:curl
~]# docker pull 909336740/nginx:curl
~]# docker images|grep curl
~]# docker tag 34736e20b17b harbor.od.com/public/nginx:curl
~]# docker login harbor.od.com
~]# docker push harbor.od.com/public/nginx:curl
~~~
![1579152363774](assets/1579152363774.png)
~~~
# 改以下内容,21机器:
cd
~]# vi nginx-ds.yaml
image: harbor.od.com/public/nginx:curl
~]# kubectl apply -f nginx-ds.yaml
~]# kubectl get pods
# 删掉两个pod让它们自动重启以便应用新镜像
~]# kubectl delete pod nginx-ds-5nhq6
# out:pod "nginx-ds-5nhq6" deleted
~]# kubectl delete pod nginx-ds-cfjvn
#out:pod "nginx-ds-cfjvn" deleted
~]# kubectl get pods -o wide
~~~
![1579152725660](assets/1579152725660.png)
~~~
# 21机器:
~]# kubectl exec -ti nginx-ds-6nmbr /bin/bash
6nmbr:/# curl 172.7.22.2
# 注意这个pod是起在了22网络了,如果网段没有在22上,就curl 172.7.22.2,只要有welcome的网页回应即可,而且log日志也有
# 22机器
etcd]# kubectl get pods -o wide
etcd]# kubectl logs -f nginx-ds-drrkt
~~~
> **kubectl logs -f**:查看Pod日志
![1579154925882](assets/1579154925882.png)
![1579155042838](assets/1579155042838.png)
确认启动正常
~~~
# 21机器:
~]# iptables-save |grep -i postrouting
~~~
![1582271259863](assets/1582271259863.png)
> **iptables:**
>
> - `语法:iptables [-t 表名] 选项 [链名] [条件] [-j 控制类型]`
> - **-A**:在规则链的末尾加入新规则
> - **-s**:匹配来源地址IP/MASK,加叹号"!"表示除这个IP外
> - **-o**:匹配从这块网卡流出的数据
> - **MASQUERADE**:动态伪装,能够自动的寻找外网地址并改为当前正确的外网IP地址
> - 上面红框内的可以理解为:如果是172.7.21.0/24段的docker的ip,网络发包不从docker0桥设备出战的,就进行SNAT转换,而我们需要的是如果出网的地址是172.7.21.0/24或者172.7.0.0/16网络(这是docker的大网络),就不要做源地址NAT转换,因为我们集群内部需要坦诚相见,自己人不需要伪装。
~~~
# 21/22机器,我们开始改:
~]# yum install iptables-services -y
~]# systemctl start iptables
~]# systemctl enable iptables
# 删掉对应的规则,以下需要对应机器,一处修改:-s 172.7.21
~]# iptables -t nat -D POSTROUTING -s 172.7.21.0/24 ! -o docker0 -j MASQUERADE
# 添加对应的规则,以下需要对应机器,一处修改:-s 172.7.21
~]# iptables -t nat -I POSTROUTING -s 172.7.21.0/24 ! -d 172.7.0.0/16 ! -o docker0 -j MASQUERADE
# 上面这条规则可以理解为:只有出网地址不是172.7.21.0/24或者172.7.0.0/16,网络发包不从docker0桥设备出战的,才做SNAT转换
~]# iptables-save |grep -i postrouting
~]# iptables-save > /etc/sysconfig/iptables
# 21机器curl22,22机器curl21
~]# kubectl exec -ti nginx-ds-6nmbr /bin/bash
6nmbr:/# curl 172.7.22.2
### 相关报错
# 如果报错:curl: (7) Failed to connect to 172.7.22.2 port 80: No route to host
# 则执行以下操作,在删掉两台机器21/22的iptables的reject,两边同时执行
~]# iptables-save|grep -i reject
~]# iptables -t filter -D [名字]
~]# iptables-save > /etc/sysconfig/iptables
###
~~~
> **iptables:**
>
> - `语法:iptables [-t 表名] 选项 [链名] [条件] [-j 控制类型]`
> - -D:删除某一条规则
> - -I:在规则链的头部加入新规则
> - -s:匹配来源地址IP/MASK,加叹号"!"表示除这个IP外
> - -d:匹配目标地址
> - -o:匹配从这块网卡流出的数据
> - MASQUERADE:动态伪装,能够自动的寻找外网地址并改为当前正确的外网IP地址
![1579157014119](assets/1579157014119.png)
成功图,在22上已经可以明确的看到对方是172.7.21.2了,在21上可以看到对方是172的22:
![1579157196199](assets/1579157196199.png)
![1579157441471](assets/1579157441471.png)
完成
### 安装部署coredns(服务发现):
> **WHAT**:服务(应用)之间相互定位的过程
>
> **WHY:**
>
> - 服务发现对应的场景:
> - 服务(应用)的动态性抢
> - 服务(应用)更新发布频繁
> - 服务(应用)支持自动伸缩
>
> - kuberntes中的所有pod都是基于Service域名解析后,再负载均衡分发到service后端的各个pod服务中,POD的IP是不断变化的。如何解决:
> - 抽象出Service资源,通过标签选择器,关联一组POD
> - 抽象出集群网络,通过固定的“集群IP”,使服务接入点固定
> - 如何管理Service资源的“名称”和“集群网络IP”
> - 我们前面做了传统的DNS模型:hdss7-21.host.com -> 10.4.7.21
> - 那么我们可以在K8S里做这样的模型:nginx-ds -> 192.168.0.1
~~~
# 现在我们要开始用交付容器方式交付服务(非二进制),这也是以后最常用的方式
# 200机器
certs]# cd /etc/nginx/conf.d/
conf.d]# vi /etc/nginx/conf.d/k8s-yaml.od.com.conf
server {
listen 80;
server_name k8s-yaml.od.com;
location / {
autoindex on;
default_type text/plain;
root /data/k8s-yaml;
}
}
conf.d]# mkdir /data/k8s-yaml
conf.d]# nginx -t
conf.d]# nginx -s reload
~~~
~~~
# 11机器,解析域名:
~]# vi /var/named/od.com.zone
serial 前滚一位
# 最下面添加这个网段,以后也都是在最下面添加,后面我就加这个注释了
k8s-yaml A 10.4.7.200
~]# systemctl restart named
~]# dig -t A k8s-yaml.od.com @10.4.7.11 +short
# out:10.4.7.200
~~~
> **dig -t A**:指的是找DNS里标记为A的相关记录,@用什么机器IP访问,+short是只返回IP
![1579158143760](assets/1579158143760.png)
~~~
# 200机器
conf.d]# cd /data/k8s-yaml/
k8s-yaml]# mkdir coredns
~~~
[k8s-yaml.od.com](k8s-yaml.od.com)
![1579158360896](assets/1579158360896.png)
~~~~
# 200机器,下载coredns镜像:
cd /data/k8s-yaml/
k8s-yaml]# docker pull coredns/coredns:1.6.1
k8s-yaml]# docker images|grep coredns
k8s-yaml]# docker tag c0f6e815079e harbor.od.com/public/coredns:v1.6.1
k8s-yaml]# docker push !$
~~~~
> 这里我们需要注意的是,任何我用到的镜像都会推到我的本地私有仓库,原因前面也说了,1、是为了用的时候速度快保证不出现网络问题,2、保证版本是同样的版本,而不是突然被别人修改了
>
> **docker push !$**:push上一个镜像的名字
~~~
# 200机器,准备资源配置清单:
cd /data/k8s-yaml/coredns
coredns]# vi rbac.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
name: coredns
namespace: kube-system
labels:
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
labels:
kubernetes.io/bootstrapping: rbac-defaults
addonmanager.kubernetes.io/mode: Reconcile
name: system:coredns
rules:
- apiGroups:
- ""
resources:
- endpoints
- services
- pods
- namespaces
verbs:
- list
- watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
annotations:
rbac.authorization.kubernetes.io/autoupdate: "true"
labels:
kubernetes.io/bootstrapping: rbac-defaults
addonmanager.kubernetes.io/mode: EnsureExists
name: system:coredns
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: system:coredns
subjects:
- kind: ServiceAccount
name: coredns
namespace: kube-system
coredns]# vi cm.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: coredns
namespace: kube-system
data:
Corefile: |
.:53 {
errors
log
health
ready
kubernetes cluster.local 192.168.0.0/16
forward . 10.4.7.11
cache 30
loop
reload
loadbalance
}
coredns]# vi dp.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: coredns
namespace: kube-system
labels:
k8s-app: coredns
kubernetes.io/name: "CoreDNS"
spec:
replicas: 1
selector:
matchLabels:
k8s-app: coredns
template:
metadata:
labels:
k8s-app: coredns
spec:
priorityClassName: system-cluster-critical
serviceAccountName: coredns
containers:
- name: coredns
image: harbor.od.com/public/coredns:v1.6.1
args:
- -conf
- /etc/coredns/Corefile
volumeMounts:
- name: config-volume
mountPath: /etc/coredns
ports:
- containerPort: 53
name: dns
protocol: UDP
- containerPort: 53
name: dns-tcp
protocol: TCP
- containerPort: 9153
name: metrics
protocol: TCP
livenessProbe:
httpGet:
path: /health
port: 8080
scheme: HTTP
initialDelaySeconds: 60
timeoutSeconds: 5
successThreshold: 1
failureThreshold: 5
dnsPolicy: Default
volumes:
- name: config-volume
configMap:
name: coredns
items:
- key: Corefile
path: Corefile
coredns]# vi svc.yaml
apiVersion: v1
kind: Service
metadata:
name: coredns
namespace: kube-system
labels:
k8s-app: coredns
kubernetes.io/cluster-service: "true"
kubernetes.io/name: "CoreDNS"
spec:
selector:
k8s-app: coredns
clusterIP: 192.168.0.2
ports:
- name: dns
port: 53
protocol: UDP
- name: dns-tcp
port: 53
- name: metrics
port: 9153
protocol: TCP
~~~
~~~~
# 21机器,应用资源配置清单(陈述式):
~]# kubectl apply -f http://k8s-yaml.od.com/coredns/rbac.yaml
~]# kubectl apply -f http://k8s-yaml.od.com/coredns/cm.yaml
~]# kubectl apply -f http://k8s-yaml.od.com/coredns/dp.yaml
~]# kubectl apply -f http://k8s-yaml.od.com/coredns/svc.yaml
~]# kubectl get all -n kube-system
~~~~
![1579159195207](assets/1579159195207.png)
> **CLUSTER-IP为什么是192.168.0.2**:因为我们之前已经写死了这是我们dns的统一接入点
>
> ![1582278638665](assets/1582278638665.png)
~~~
# 21机器,测试(我的已经存在了,不过不影响):
~]# kubectl create deployment nginx-dp --image=harbor.od.com/public/nginx:v1.7.9 -n kube-public
~]# kubectl expose deployment nginx-dp --port=80 -n kube-public
~]# kubectl get svc -n kube-public
~]# dig -t A nginx-dp.kube-public.svc.cluster.local. @192.168.0.2 +short
# out:192.168.81.37
~~~
> **dig -t A**:指的是找DNS里标记为A的相关记录,@用什么机器IP访问,+short是只返回IP
![1579161063657](assets/1579161063657.png)
完成集群“内”被自动发现
### K8S的服务暴露ingress
> **WHAT**:K8S API的标准资源类型之一,也是核心资源,它是基于域名和URL路径,把用户的请求转发至指定Service资源的规则
>
> - 将集群外部的请求流量,转发至集群内部,从而实现“服务暴露”
> - nginx + go脚本
>
> **WHY**:上面实现了服务在集群“内”被自动发现,那么需要使得服务在集群“外”被使用和访问,常规的两种方法:
>
> - 使用NodePort型的service
> - 无法使用kube-proxy的ipvs模型,只能使用iptables模型
> - 使用ingress资源
> - 只能调度并暴露7蹭应用,特指http和https协议
##### 以trafiker为例
> **WHAT**:为了让部署微服务更加便捷而诞生的现代HTTP反向代理、负载均衡工具。
>
> **WHY**:可以监听你的服务发现/基础架构组件的管理API,并且每当你的微服务被添加、移除、杀死或更新都会被感知,并且可以自动生成它们的配置文件
~~~
# 200机器,部署traefiker(ingress控制器)
cd /data/k8s-yaml/
k8s-yaml]# mkdir traefik
k8s-yaml]# cd traefik/
traefik]# docker pull traefik:v1.7.2-alpine
traefik]# docker images|grep traefik
traefik]# docker tag add5fac61ae5 harbor.od.com/public/traefik:v1.7.2
traefik]# docker push harbor.od.com/public/traefik:v1.7.2
~~~
> 复习:mkdir 创建目录、cd 移动到其它目录、
>
> docker pull 下载镜像、docker tag 打标签、docker push 上传到仓库
~~~
# 200机器,准备资源配置清单(4个yaml):
traefik]# vi rbac.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
name: traefik-ingress-controller
namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
name: traefik-ingress-controller
rules:
- apiGroups:
- ""
resources:
- services
- endpoints
- secrets
verbs:
- get
- list
- watch
- apiGroups:
- extensions
resources:
- ingresses
verbs:
- get
- list
- watch
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
name: traefik-ingress-controller
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: traefik-ingress-controller
subjects:
- kind: ServiceAccount
name: traefik-ingress-controller
namespace: kube-system
traefik]# vi ds.yaml
apiVersion: extensions/v1beta1
kind: DaemonSet
metadata:
name: traefik-ingress
namespace: kube-system
labels:
k8s-app: traefik-ingress
spec:
template:
metadata:
labels:
k8s-app: traefik-ingress
name: traefik-ingress
spec:
serviceAccountName: traefik-ingress-controller
terminationGracePeriodSeconds: 60
containers:
- image: harbor.od.com/public/traefik:v1.7.2
name: traefik-ingress
ports:
- name: controller
containerPort: 80
hostPort: 81
- name: admin-web
containerPort: 8080
securityContext:
capabilities:
drop:
- ALL
add:
- NET_BIND_SERVICE
args:
- --api
- --kubernetes
- --logLevel=INFO
- --insecureskipverify=true
- --kubernetes.endpoint=https://10.4.7.10:7443
- --accesslog
- --accesslog.filepath=/var/log/traefik_access.log
- --traefiklog
- --traefiklog.filepath=/var/log/traefik.log
- --metrics.prometheus
traefik]# vi svc.yaml
kind: Service
apiVersion: v1
metadata:
name: traefik-ingress-service
namespace: kube-system
spec:
selector:
k8s-app: traefik-ingress
ports:
- protocol: TCP
port: 80
name: controller
- protocol: TCP
port: 8080
name: admin-web
traefik]# vi ingress.yaml
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
name: traefik-web-ui
namespace: kube-system
annotations:
kubernetes.io/ingress.class: traefik
spec:
rules:
- host: traefik.od.com
http:
paths:
- path: /
backend:
serviceName: traefik-ingress-service
servicePort: 8080
~~~
> 每次有ingress时,我们第一反应就是要去解析域名
>
> 这里为什么我们都可以把什么都丢到80端口,是因为现在已经是Pod了,已经隔离了,无所谓你用什么端口
~~~
# 21/22任意机器(我用的22),应用资源配置清单:
~]# kubectl apply -f http://k8s-yaml.od.com/traefik/rbac.yaml
~]# kubectl apply -f http://k8s-yaml.od.com/traefik/ds.yaml
~]# kubectl apply -f http://k8s-yaml.od.com/traefik/svc.yaml
~]# kubectl apply -f http://k8s-yaml.od.com/traefik/ingress.yaml
# 下面重启docker服务要在21/22节点都执行,否则会有一个起不来
~]# systemctl restart docker.service
~]# kubectl get pods -n kube-system
~]# netstat -luntp|grep 81
~~~
![1579165378812](assets/1579165378812.png)
~~~
# 11/12机器,做反代:
~]# vi /etc/nginx/conf.d/od.com.conf
upstream default_backend_traefik {
server 10.4.7.21:81 max_fails=3 fail_timeout=10s;
server 10.4.7.22:81 max_fails=3 fail_timeout=10s;
}
server {
server_name *.od.com;
location / {
proxy_pass http://default_backend_traefik;
proxy_set_header Host $http_host;
proxy_set_header x-forwarded-for $proxy_add_x_forwarded_for;
}
}
~]# nginx -t
~]# nginx -s reload
# 11机器,解析域名:
~]# vi /var/named/od.com.zone
前滚serial
traefik A 10.4.7.10
~]# systemctl restart named
~~~
> **nginx -t**:检查nginx.conf文件有没有语法错误
>
> **nginx -s reload**:不需要重启nginx的热配置
![1579167500955](assets/1579167500955.png)
[访问traefik.od.com](traefik.od.com)
![1579167546083](assets/1579167546083.png)
完成
##### 用户访问流程:
当用户输入traefik.od.com时,被dns解析到10.4.7.10,而10则在11上,去找L7层服务,而反代配置的od.com.conf,则是将*.od.com无差别的抛给了ingress,ingress则通过noteselect找到pod
![1584961721898](assets/1584961721898.png)
再回顾上面的架构图,我们已经全部安装部署完。
接下来,我们就要开始安装部署K8S的周边生态,使其成为一个**真正的PaaS服务**
<a href="https://github.com/ben1234560/k8s_PaaS/blob/master/%E5%8E%9F%E7%90%86%E5%8F%8A%E6%BA%90%E7%A0%81%E8%A7%A3%E6%9E%90/Kubernetes%E5%9F%BA%E6%9C%AC%E6%A6%82%E5%BF%B5.md#kubernetes%E6%8A%80%E8%83%BD%E5%9B%BE%E8%B0%B1">kubernetes技能图谱</a>