前言

该集群包含三个节点,启动后通过竞争选举机制产生一个leader节点,其他节点为阻塞状态。当leader节点不可用时,阻塞节点将会在此选举产生新的leader,从而保证服务的高可用。为保证通信安全,这里采用x509证书和私钥,kube-controller-manager在与apiserver的安全端口(http 10252)通信使用;

创建kube-controller-manager证书和私钥

创建证书签名请求

cd /opt/k8s/work
cat > kube-controller-manager-csr.json <<EOF
{
"CN": "system:kube-controller-manager",
"key": {
"algo": "rsa",
"size": 2048
},
"hosts": [
"127.0.0.1",
"10.0.20.11",
"10.0.20.12",
"10.0.20.13",
"node01.k8s.com",
"node02.k8s.com",
"node03.k8s.com"
],
"names": [
{
"C": "CN",
"ST": "BeiJing",
"L": "BeiJing",
"O": "system:kube-controller-manager",
"OU": "4Paradigm"
}
]
}
EOF
  • host列表包含所有的kube-controller-manager节点IP(VIP不需要输入)
  • CN和O均为system:kube-controller-manager,kubernetes内置的ClusterRoleBindings system:kube-controller-manager赋予kube-controller-manager工作所需权限

生成证书和私钥

cd /opt/k8s/work
cfssl gencert -ca=/opt/k8s/work/ca.pem \
-ca-key=/opt/k8s/work/ca-key.pem \
-config=/opt/k8s/work/ca-config.json \
-profile=kubernetes kube-controller-manager-csr.json | cfssljson -bare kube-controller-manager
ls kube-controller-manager*pem

将生成的证书和私钥分发到所有master节点

cd /opt/k8s/work
source /opt/k8s/bin/environment.sh
for node_ip in ${MASTER_IPS[@]}
do
echo ">>> ${node_ip}"
scp kube-controller-manager*.pem root@${node_ip}:/etc/kubernetes/cert/
done

创建和分发kubeconfig文件

  • kube-controller-manager使用kubeconfig文件访问apiserver
  • 该文件提供了apiserver地址、嵌入的CA证书和kube-controller-manager证书
cd /opt/k8s/work
source /opt/k8s/bin/environment.sh
kubectl config set-cluster kubernetes \
--certificate-authority=/opt/k8s/work/ca.pem \
--embed-certs=true \
--server=${KUBE_APISERVER} \
--kubeconfig=kube-controller-manager.kubeconfig
kubectl config set-credentials system:kube-controller-manager \
--client-certificate=kube-controller-manager.pem \
--client-key=kube-controller-manager-key.pem \
--embed-certs=true \
--kubeconfig=kube-controller-manager.kubeconfig
kubectl config set-context system:kube-controller-manager \
--cluster=kubernetes \
--user=system:kube-controller-manager \
--kubeconfig=kube-controller-manager.kubeconfig
kubectl config use-context system:kube-controller-manager --kubeconfig=kube-controller-manager.kubeconfig

分发kubeconfig到所有master节点

cd /opt/k8s/work
source /opt/k8s/bin/environment.sh
for node_ip in ${MASTER_IPS[@]}
do
echo ">>> ${node_ip}"
scp kube-controller-manager.kubeconfig root@${node_ip}:/etc/kubernetes/
done

创建 kube-controller-manager 启动文件

cd /opt/k8s/work
source /opt/k8s/bin/environment.sh
cat > kube-controller-manager.service.template <<EOF
[Unit]
Description=Kubernetes Controller Manager
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
[Service]
WorkingDirectory=${K8S_DIR}/kube-controller-manager
ExecStart=/opt/k8s/bin/kube-controller-manager \\
--profiling \\
--cluster-name=kubernetes \\
--controllers=*,bootstrapsigner,tokencleaner \\
--kube-api-qps=1000 \\
--kube-api-burst=2000 \\
--leader-elect \\
--use-service-account-credentials\\
--concurrent-service-syncs=2 \\
--bind-address=0.0.0.0 \\
#--secure-port=10252 \\
--tls-cert-file=/etc/kubernetes/cert/kube-controller-manager.pem \\
--tls-private-key-file=/etc/kubernetes/cert/kube-controller-manager-key.pem \\
#--port=0 \\
--authentication-kubeconfig=/etc/kubernetes/kube-controller-manager.kubeconfig \\
--client-ca-file=/etc/kubernetes/cert/ca.pem \\
--requestheader-allowed-names="" \\
--requestheader-client-ca-file=/etc/kubernetes/cert/ca.pem \\
--requestheader-extra-headers-prefix="X-Remote-Extra-" \\
--requestheader-group-headers=X-Remote-Group \\
--requestheader-username-headers=X-Remote-User \\
--authorization-kubeconfig=/etc/kubernetes/kube-controller-manager.kubeconfig \\
--cluster-signing-cert-file=/etc/kubernetes/cert/ca.pem \\
--cluster-signing-key-file=/etc/kubernetes/cert/ca-key.pem \\
--experimental-cluster-signing-duration=876000h \\
--horizontal-pod-autoscaler-sync-period=10s \\
--concurrent-deployment-syncs=10 \\
--concurrent-gc-syncs=30 \\
--node-cidr-mask-size=24 \\
--service-cluster-ip-range=${SERVICE_CIDR} \\
--pod-eviction-timeout=6m \\
--terminated-pod-gc-threshold=10000 \\
--root-ca-file=/etc/kubernetes/cert/ca.pem \\
--service-account-private-key-file=/etc/kubernetes/cert/ca-key.pem \\
--kubeconfig=/etc/kubernetes/kube-controller-manager.kubeconfig \\
--logtostderr=true \\
--v=2
Restart=on-failure
RestartSec=5
[Install]
WantedBy=multi-user.target
EOF

参数解释

  • –port=0:关闭监听非安全端口(http),同时 –address 参数无效,–bind-address 参数有效;
  • –secure-port=10252、–bind-address=0.0.0.0: 在所有网络接口监听 10252 端口的 https /metrics 请求;
  • –kubeconfig:指定 kubeconfig 文件路径,kube-controller-manager 使用它连接和验证 kube-apiserver;
  • –authentication-kubeconfig 和 –authorization-kubeconfig:kube-controller-manager 使用它连接 apiserver,对 client 的请求进行认证和授权。kube-controller-manager 不再使用 –tls-ca-file 对请求 https metrics 的 Client 证书进行校验。如果没有配置这两个 kubeconfig 参数,则 client 连接 kube-controller-manager https 端口的请求会被拒绝(提示权限不足)。
  • –cluster-signing-*-file:签名 TLS Bootstrap 创建的证书;
  • –experimental-cluster-signing-duration:指定 TLS Bootstrap 证书的有效期;
  • –root-ca-file:放置到容器 ServiceAccount 中的 CA 证书,用来对 kube-apiserver 的证书进行校验;
  • `–service-account-private-key-file:签名 ServiceAccount 中 Token 的私钥文件,必须和 kube-apiserver 的 –service-account-key-file 指定的公钥文件配对使用;
  • –service-cluster-ip-range :指定 Service Cluster IP 网段,必须和 kube-apiserver 中的同名参数一致;
  • –leader-elect=true:集群运行模式,启用选举功能;被选为 leader 的节点负责处理工作,其它节点为阻塞状态;
  • –controllers=*,bootstrapsigner,tokencleaner:启用的控制器列表,tokencleaner 用于自动清理过期的 Bootstrap token;
  • –horizontal-pod-autoscaler-*:custom metrics 相关参数,支持 autoscaling/v2alpha1;
  • –tls-cert-file、–tls-private-key-file:使用 https 输出 metrics 时使用的 Server 证书和秘钥;
  • –use-service-account-credentials=true: kube-controller-manager 中各 controller 使用 serviceaccount 访问 kube-apiserver;

替换启动文件,并分发脚本

cd /opt/k8s/work
source /opt/k8s/bin/environment.sh
for (( i=0; i < 3; i++ ))
do
sed -e "s/##NODE_NAME##/${MASTER_NAMES[i]}/" -e "s/##NODE_IP##/${MASTER_IPS[i]}/" kube-controller-manager.service.template > kube-controller-manager-${MASTER_IPS[i]}.service
done
ls kube-controller-manager*.service

分发到所有master节点

cd /opt/k8s/work
source /opt/k8s/bin/environment.sh
for node_ip in ${MASTER_IPS[@]}
do
echo ">>> ${node_ip}"
scp kube-controller-manager-${node_ip}.service root@${node_ip}:/etc/systemd/system/kube-controller-manager.service
done

启动服务

source /opt/k8s/bin/environment.sh
for node_ip in ${MASTER_IPS[@]}
do
echo ">>> ${node_ip}"
ssh root@${node_ip} "mkdir -p ${K8S_DIR}/kube-controller-manager"
ssh root@${node_ip} "systemctl daemon-reload && systemctl enable kube-controller-manager && systemctl restart kube-controller-manager"
done

检查运行状态

source /opt/k8s/bin/environment.sh
for node_ip in ${MASTER_IPS[@]}
do
echo ">>> ${node_ip}"
ssh root@${node_ip} "systemctl status kube-controller-manager|grep Active"
done

检查服务端口

for node_ip in ${MASTER_IPS[@]}
do
echo ">>> ${node_ip}"
ssh root@${node_ip} "netstat -lnpt | grep kube-controlle"
done

输出结果

[root@node01 work]# for node_ip in ${MASTER_IPS[@]}
> do
> echo ">>> ${node_ip}"
> ssh root@${node_ip} "netstat -lnpt | grep kube-controlle"
> done
>>> 10.0.20.11
tcp6 0 0 :::10252 :::* LISTEN 6127/kube-controlle
tcp6 0 0 :::10257 :::* LISTEN 6127/kube-controlle
>>> 10.0.20.12
tcp6 0 0 :::10252 :::* LISTEN 2914/kube-controlle
tcp6 0 0 :::10257 :::* LISTEN 2914/kube-controlle
>>> 10.0.20.13
tcp6 0 0 :::10252 :::* LISTEN 2952/kube-controlle
tcp6 0 0 :::10257 :::* LISTEN 2952/kube-controlle

查看 kube-controller-manager 创建权限

ClusteRole system:kube-controller-manager的权限太小,只能创建secret、serviceaccount等资源,将controller的权限分散到ClusterRole system:controller:xxx中

[root@node01 work]# kubectl describe clusterrole system:kube-controller-manager
Name: system:kube-controller-manager
Labels: kubernetes.io/bootstrapping=rbac-defaults
Annotations: rbac.authorization.kubernetes.io/autoupdate: true
PolicyRule:
Resources Non-Resource URLs Resource Names Verbs
--------- ----------------- -------------- -----
secrets [] [] [create delete get update]
endpoints [] [] [create get update]
serviceaccounts [] [] [create get update]
events [] [] [create patch update]
serviceaccounts/token [] [] [create]
tokenreviews.authentication.k8s.io [] [] [create]
subjectaccessreviews.authorization.k8s.io [] [] [create]
configmaps [] [] [get]
namespaces [] [] [get]
*.* [] [] [list watch]

需要在 kube-controller-manager 的启动参数中添加 –use-service-account-credentials=true 参数,这样 main controller 会为各 controller 创建对应的 ServiceAccount XXX-controller。内置的 ClusterRoleBinding system:controller:XXX 将赋予各 XXX-controller ServiceAccount 对应的 ClusterRole system:controller:XXX 权限。

[root@node01 work]# kubectl get clusterrole|grep controller
system:controller:attachdetach-controller 122m
system:controller:certificate-controller 122m
system:controller:clusterrole-aggregation-controller 122m
system:controller:cronjob-controller 122m
system:controller:daemon-set-controller 122m
system:controller:deployment-controller 122m
system:controller:disruption-controller 122m
system:controller:endpoint-controller 122m
system:controller:expand-controller 122m
system:controller:generic-garbage-collector 122m
system:controller:horizontal-pod-autoscaler 122m
system:controller:job-controller 122m
system:controller:namespace-controller 122m
system:controller:node-controller 122m
system:controller:persistent-volume-binder 122m
system:controller:pod-garbage-collector 122m
system:controller:pv-protection-controller 122m
system:controller:pvc-protection-controller 122m
system:controller:replicaset-controller 122m
system:controller:replication-controller 122m
system:controller:resourcequota-controller 122m
system:controller:route-controller 122m
system:controller:service-account-controller 122m
system:controller:service-controller 122m
system:controller:statefulset-controller 122m
system:controller:ttl-controller 122m
system:kube-controller-manager 122m

以 deployment controller 为例:

[root@node01 work]# kubectl describe clusterrole system:controller:deployment-controller
Name: system:controller:deployment-controller
Labels: kubernetes.io/bootstrapping=rbac-defaults
Annotations: rbac.authorization.kubernetes.io/autoupdate: true
PolicyRule:
Resources Non-Resource URLs Resource Names Verbs
--------- ----------------- -------------- -----
replicasets.apps [] [] [create delete get list patch update watch]
replicasets.extensions [] [] [create delete get list patch update watch]
events [] [] [create patch update]
pods [] [] [get list update watch]
deployments.apps [] [] [get list update watch]
deployments.extensions [] [] [get list update watch]
deployments.apps/finalizers [] [] [update]
deployments.apps/status [] [] [update]
deployments.extensions/finalizers [] [] [update]
deployments.extensions/status [] [] [update]

通过apiserver查看controller-manager状态

[root@node01 work]# kubectl get cs
NAME STATUS MESSAGE ERROR
scheduler Unhealthy Get http://127.0.0.1:10251/healthz: dial tcp 127.0.0.1:10251: connect: connection refused
controller-manager Healthy ok
etcd-0 Healthy {"health":"true"}
etcd-2 Healthy {"health":"true"}
etcd-1 Healthy {"health":"true"}

这里看到 controller-manager 的状态已经是 ok 了,在 测试访问apiserver状态 看到的还是 scheduler 是会一样的。

部署 kube-controller-manager 高可用集群的更多相关文章

  1. 使用Ansible部署etcd 3.2高可用集群

    之前写过一篇手动搭建etcd 3.1集群的文章<etcd 3.1 高可用集群搭建>,最近要初始化一套新的环境,考虑用ansible自动化部署整套环境, 先从部署etcd 3.2集群开始. ...

  2. [转帖]Breeze部署kubernetes1.13.2高可用集群

    Breeze部署kubernetes1.13.2高可用集群 2019年07月23日 10:51:41 willblog 阅读数 673 标签: kubernetes 更多 个人分类: kubernet ...

  3. 部署kubernetes1.8.3高可用集群

    Kubernetes作为容器应用的管理平台,通过对pod的运行状态进行监控,并且根据主机或容器失效的状态将新的pod调度到其他node上,实现了应用层的高可用. 针对kubernetes集群,高可用性 ...

  4. 七台机器部署Hadoop2.6.5高可用集群

    1.HA架构注意事项 两个Namenode节点在某个时间只能有一个节点正常响应客户端请求,响应请求的节点状态必须是active standby状态要能够快速无缝切换成active状态,两个NN节点必须 ...

  5. centos7下部署mariadb+galera数据库高可用集群

    [root@node1 ~]# cat /etc/yum.repos.d/mariadb.repo # MariaDB 10.1 CentOS repository list - created 20 ...

  6. 部署一套完整的Kubernetes高可用集群(二进制,v1.18版)

    一.前置知识点 1.1 生产环境可部署Kubernetes集群的两种方式 目前生产部署Kubernetes集群主要有两种方式: kubeadm Kubeadm是一个K8s部署工具,提供kubeadm ...

  7. kubeadm部署k8s1.9高可用集群--4部署master节点

    部署master节点 kubernetes master 节点包含的组件: kube-apiserver kube-scheduler kube-controller-manager 本文档介绍部署一 ...

  8. Kubeadm 1.9 HA 高可用集群本地离线镜像部署【已验证】

    k8s介绍 k8s 发展速度很快,目前很多大的公司容器集群都基于该项目,如京东,腾讯,滴滴,瓜子二手车,易宝支付,北森等等. kubernetes1.9版本发布2017年12月15日,每三个月一个迭代 ...

  9. 使用二进制的方式部署 K8S-1.16 高可用集群

    一.项目介绍 项目致力于让有意向使用原生kubernetes集群的企业或个人,可以方便的.系统的使用二进制的方式手工搭建kubernetes高可用集群.并且让相关的人员可以更好的理解kubernete ...

  10. openstack高可用集群21-生产环境高可用openstack集群部署记录

    第一篇 集群概述 keepalived + haproxy +Rabbitmq集群+MariaDB Galera高可用集群   部署openstack时使用单个控制节点是非常危险的,这样就意味着单个节 ...

随机推荐

  1. SYZOJ中文安装指南

    Made By:Spaceskynet Thanks to other developers. 测试系统 Ubuntu-17.04 PS(全局变量): [syzoj2 path] = 您git的syz ...

  2. IntelliJ IDEA 配置Maven仓库

    1. 下载Maven 官方地址:http://maven.apache.org/download.cgi 2. 修改本地仓库路径 3. 设置环境变量 MAVEN_HOME: E:\DevelopEnv ...

  3. Java创建线程的四种方式

    Java创建线程的四种方式 1.继承Thread类创建线程 定义Thread类的子类,并重写该类的run方法,run()方法的内容就是该线程执行的内容 创建Thread子类的实例,即创建了线程对象. ...

  4. mock和axios常见的传参方式

    第一次接手项目,传参方式还有些吃力,因此做一下总结. 首先我们需要会看swagger中的接口.里面写了某个接口需要接收什么样的值,前端怎么传递这个值 在mock中的传参方式: mock中传参的方式有两 ...

  5. 关于js中函数的一点总结

    1函数中this作用域 this根据当前环境来决定作用域,可以使用call和apply的方法来改变当前的this指向 <script> var name = "global&qu ...

  6. eclipse断点的使用---for循环举例

    在很多时候,我们在学习过程中,不知道代码具体的实现过程,很好奇这个变量的值怎么就发生的变化,用好断点的使用,帮助我们更好的理解. 例子:10以内的奇数之和 package day03; public ...

  7. 通俗地说逻辑回归【Logistic regression】算法(二)sklearn逻辑回归实战

    前情提要: 通俗地说逻辑回归[Logistic regression]算法(一) 逻辑回归模型原理介绍 上一篇主要介绍了逻辑回归中,相对理论化的知识,这次主要是对上篇做一点点补充,以及介绍sklear ...

  8. PTA刷题记录(1)

    团队天梯赛-------(2)分值:20 题目要求:你写个程序把给定的符号打印成沙漏的形状.例如给定17个“*”,要求按下列格式打印 ***** ***   *  *** ***** 所谓“沙漏形状” ...

  9. 2.基础:Vue组件的核心概念

    一.组件基础和注册 组件概念 组件系统是 Vue 的另一个重要概念,他的核心就是封装和复用. 细节 组件的name必须是全局唯一. 二.属性.事件和插槽 组件的三大核心概念:属性.事件和插槽. 属性, ...

  10. python手册学习笔记1

    笔记1 > http://www.pythondoc.com/pythontutorial3/controlflow.html 参数传递 Python中sys.argv的用法 调用解释器时,脚本 ...