K8S02-源码包安装(1.11.0版)
5.flannel网络安装
flannel启动顺序
1、启动etcd (先为flannel及docker分配虚拟网段)
2、启动flanneld
3、使用flannel参数(/run/flannel/subnet.env）启动dockerd
安装 flannel 网络插件
所有的 node 节点都需要安装网络插件才能让所有的Pod加入到同一个局域网中，如果想要在master节点上也能访问 pods的ip，master 节点也安装。
yum install -y flannel
修改flannel启动配置文件
service配置文件 vi /usr/lib/systemd/system/flanneld.service
[Unit]
Description=Flanneld overlay address etcd agent
After=network.target
After=network-online.target
Wants=network-online.target
After=etcd.service
Before=docker.service
[Service]
Type=notify
EnvironmentFile=/etc/sysconfig/flanneld
EnvironmentFile=-/etc/sysconfig/docker-network
ExecStart=/usr/bin/flanneld-start
-etcd-endpoints={FLANNEL_ETCD_PREFIX}
$FLANNEL_OPTIONS
ExecStartPost=/usr/libexec/flannel/mk-docker-opts.sh -k DOCKER_NETWORK_OPTIONS -d /run/flannel/docker
Restart=on-failure
[Install]
WantedBy=multi-user.target
RequiredBy=docker.service
修改配置文件
vi /etc/sysconfig/flanneld
FLANNEL_ETCD_ENDPOINTS="https://172.16.0.5:2379,https://172.16.0.6:2379,https://172.16.0.7:2379"
FLANNEL_ETCD_PREFIX="/atomic.io/network" #此处保持不变
FLANNEL_OPTIONS="-etcd-cafile=/etc/kubernetes/ssl/ca.pem -etcd-certfile=/etc/kubernetes/ssl/kubernetes.pem -etcd-keyfile=/etc/kubernetes/ssl/kubernetes-key.pem"
注： 如果是主机是多网卡，则需要在FLANNEL_OPTIONS中增加指定的外网出口的网卡，例如-iface=eth2
------------------------------------------------------------------以上是flannel相关的2个配置文件修改,还不能启动程序
在任意1台etcd服务器中执行以下命令即可,我这边是在etcd1上执行.执行下面的命令为docker分配IP地址段。
etcdctl --endpoints=https://172.16.0.5:2379,https://172.16.0.6:2379,https://172.16.0.7:2379
--ca-file=/etc/kubernetes/ssl/ca.pem
--cert-file=/etc/kubernetes/ssl/kubernetes.pem
--key-file=/etc/kubernetes/ssl/kubernetes-key.pem
mk /atomic.io/network/config '{"Network":"10.10.0.0/16","SubnetLen":24,"Backend":{"Type":"host-gw"}}'
如果你要使用host-gw模式，可以直接将vxlan改成host-gw即可。根据原作者测试，使用host-gw模式时网络性能好一些。
启动flannel服务
systemctl daemon-reload
systemctl enable flanneld
systemctl start flanneld
systemctl status flanneld
注： 在node节点启动flannel前，请先停止docker，flannel启动好后，再启动docker
利用etcdctl 查询命令
etcdctl --endpoints=https://172.16.0.5:2379,https://172.16.0.6:2379,https://172.16.0.7:2379
--ca-file=/etc/kubernetes/ssl/ca.pem
--cert-file=/etc/kubernetes/ssl/kubernetes.pem
--key-file=/etc/kubernetes/ssl/kubernetes-key.pem
get /atomic.io/network
{ "Network": "172.30.0.0/16", "SubnetLen": 24, "Backend": { "Type": "vxlan" } }
etcdctl --endpoints=https://172.16.0.5:2379,https://172.16.0.6:2379,https://172.16.0.7:2379
--ca-file=/etc/kubernetes/ssl/ca.pem
--cert-file=/etc/kubernetes/ssl/kubernetes.pem
--key-file=/etc/kubernetes/ssl/kubernetes-key.pem
get /atomic.io/network/subnets/172.30.14.0-24
{"PublicIP":"192.168.223.204","BackendType":"vxlan","BackendData":{"VtepMAC":"56:27:7d:1c:08:22"}}
ifconfig 查看是不是docker0t flannel:1网卡是不是在同一网段
如果可以查看到以上内容证明flannel已经安装完成，并且已经正常分配kubernetes网段
如果想flannel的网段由10.10.0.0换成192.168.0.0则需要执行以下命令即可
etcdctl rm /atomic.io/network/config 删除config文件
etcdctl mk /atomic.io/network/config { "Network": "192.168.0.0/16","SubnetMin": "10.10.1.0", "SubnetMax": "192.168.0.0" } 生成新的文件
rm -f /run/flannel/docker 此文件一定要删除,不然docker分配到的还是以前的网段的ip
---------------------------------------------------------------------------------------------------------------------------到此flannel 网络配置完毕
6.master集群
kubernetes master 节点包含的组件：
kube-apiserver kube-scheduler kube-controller-manager
kube-scheduler、kube-controller-manager、kube-apiserver 三者的功能紧密相关；同时只能有一个 kube-scheduler、kube-controller-manager 进程处于工作状态，如果运行多个，则需要通过选举产生一个 leader(需要在配置文件中配置--leader-elect)；
kube-apiserver 为无状态服务，使用haproxy+keepalived或者nginx+keepalived实现高可用
kube-apiserver
配置和启动kube-apiserver,apiserver涉及二个配置文件(/usr/lib/systemd/system/kube-apiserver.service-启动配置文件,/etc/kubernetes/apiserver-参数配置文件)
创建kube-apiserver 启动文件
vi /usr/lib/systemd/system/kube-apiserver.service
[Unit]
Description=Kubernetes API Service
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
After=network.target
After=etcd.service
[Service]
EnvironmentFile=-/etc/kubernetes/apiserver #为了统一配置，每个模块只写一个配置文件，然后在下面的ExecStart中引用
ExecStart=/usr/bin/kube-apiserver $KUBE_API_ARGS #apiserver配置文件只有一个变量名:KUBE_API_ARGS,其他所有变量都写在kube-apiserver文件里
Restart=on-failure
Type=notify
LimitNOFILE=65536
[Install]
WantedBy=multi-user.target
apiserver配置文件
vim /etc/kubernetes/apiserver
KUBE_API_ARGS="--enable-admission-plugins=NamespaceLifecycle,LimitRanger,ServiceAccount,DefaultStorageClass,ResourceQuota,NodeRestriction
--advertise-address=172.16.0.100
--bind-address=0.0.0.0
--secure-port 6443
--service-cluster-ip-range=169.169.0.0/16
--authorization-mode=Node,RBAC
--kubelet-https=true
--token-auth-file=/etc/kubernetes/token.csv \ #kubelet启动需要验证,不然kubelet启动找不到token,node就不能注册成功
--service-node-port-range=10000-60000
--tls-cert-file=/etc/kubernetes/pki/kubernetes.pem
--tls-private-key-file=/etc/kubernetes/pki/kubernetes-key.pem
--client-ca-file=/etc/kubernetes/pki/ca.pem
--service-account-key-file=/etc/kubernetes/pki/ca-key.pem
--etcd-cafile=/etc/kubernetes/pki/ca.pem
--etcd-certfile=/etc/kubernetes/pki/kubernetes.pem
--etcd-keyfile=/etc/kubernetes/pki/kubernetes-key.pem
--storage-backend=etcd3
--etcd-servers=https://172.16.0.5:2379,https://172.16.0.6:2379,https://172.16.0.7:2379
--enable-swagger-ui=true
--allow-privileged=true
--apiserver-count=3
--audit-log-maxage=30
--audit-log-maxbackup=3
--audit-log-maxsize=100
--audit-log-path=/var/lib/audit.log
--event-ttl=1h
--logtostderr=false
--log-dir=/var/log/kubernetes/apiserver
--v=2 1>>/var/log/kubernetes/apiserver/kube-apiserver.log 2>&1"
如果中途修改过--service-cluster-ip-range地址，则必须将default命名空间的kubernetes的service给删除，使用命令：kubectl delete service kubernetes，然后系统会自动用新的ip重建这个service，不然apiserver的log有报错the cluster IP x.x.x.x for service kubernetes/default is not within the service CIDR x.x.x.x/16; please recreate
启动kube-apiserver
systemctl daemon-reload
systemctl enable kube-apiserver
systemctl start kube-apiserver
systemctl status kube-apiserver
以下没有报错,说明启动成功
[root@master1 ~]# systemctl status kube-apiserver
kube-apiserver.service - Kubernetes API Service
Loaded: loaded (/usr/lib/systemd/system/kube-apiserver.service; enabled; vendor preset: disabled)
Active: active (running) since Fri 2018-09-21 18:46:35 CST; 2h 14min ago
Docs: https://github.com/GoogleCloudPlatform/kubernetes
Main PID: 30835 (kube-apiserver)
CGroup: /system.slice/kube-apiserver.service
└─30835 /usr/local/bin/kube-apiserver --enable-admission-plugins=NamespaceLifecycle,LimitRanger,ServiceAccount,DefaultStorageClass,ResourceQuota,NodeRestriction --advertise-address=172.16.0.100 --bind-address=0.0.0.0 --secure-port 6443 --authorization-mode...
Sep 21 18:46:26 master1 systemd[1]: Starting Kubernetes API Service...
Sep 21 18:46:30 master1 kube-apiserver[30835]: [restful] 2018/09/21 18:46:30 log.go:33: [restful/swagger] listing is available at https://172.16.0.100:6443/swaggerapi
Sep 21 18:46:30 master1 kube-apiserver[30835]: [restful] 2018/09/21 18:46:30 log.go:33: [restful/swagger] https://172.16.0.100:6443/swaggerui/ is mapped to folder /swagger-ui/
Sep 21 18:46:32 master1 kube-apiserver[30835]: [restful] 2018/09/21 18:46:32 log.go:33: [restful/swagger] listing is available at https://172.16.0.100:6443/swaggerapi
Sep 21 18:46:32 master1 kube-apiserver[30835]: [restful] 2018/09/21 18:46:32 log.go:33: [restful/swagger] https://172.16.0.100:6443/swaggerui/ is mapped to folder /swagger-ui/
Sep 21 18:46:35 master1 systemd[1]: Started Kubernetes API Service.
---------------------------------------------------------------到此kube-apiserver启动完毕.后面二个服务都要依赖此服务,所以要先安装
检查etcd集群状态
[root@master1 kubernetes]# kubectl cluster-info
Kubernetes master is running at https://172.16.0.100:6443
To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
检查命名空间的cluster ip
[root@master1 kubernetes]# kubectl get all --all-namespaces
NAMESPACE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
default service/kubernetes ClusterIP 169.169.0.1 <none> 443/TCP 1d
检查master组件中api,controller,scheduler的状态,目前就controller还不能使用
[root@master1 kubernetes]# kubectl get componentstatuses
NAME STATUS MESSAGE ERROR
controller-manager Unhealthy Get http://127.0.0.1:10252/healthz: dial tcp 127.0.0.1:10252: connect: connection refused
scheduler Healthy ok
etcd-1 Healthy {"health": "true"}
etcd-0 Healthy {"health": "true"}
etcd-2 Healthy {"health": "true"}
配置和启动 kube-controller-manager
创建 kube-controller-manager的启动配置文件
vim /usr/lib/systemd/system/kube-controller-manager.service
[Unit]
Description=Kubernetes Controller Manager
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
[Service]
EnvironmentFile=-/etc/kubernetes/controller-manager
ExecStart=/usr/local/bin/kube-controller-manager KUBE_SCHEDULER_ARGS
Restart=on-failure
RestartSec=5
[Install]
WantedBy=multi-user.target
[root@master1 kubernetes]# cat kubeconfig
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=true"
How the controller-manager, scheduler, and proxy find the apiserver
KUBE_MASTER="--master=https://172.16.0.100:6443"
[root@master2 kubernetes]# cat scheduler
KUBE_SCHEDULER_ARGS="--leader-elect=true --address=127.0.0.1"
systemctl daemon-reload
systemctl enable kube-scheduler
systemctl start kube-scheduler
systemctl status kube-scheduler
-----------------------------------------------------------------------------------------------------------------------------到此scheduler安装完毕
kube-scheduler
kube-scheduler是和kube-apiserver一般部署在同一节点上，且使用非安全端口8080通信，故启动参参数中没有指定证书的参数可选 。 若分离部署，可在kubeconfig文件中指定证书，使用kubeconfig认证，kube-proxy类似
查看scheduler健康状态
[root@master1 kubernetes]# curl -L http://127.0.0.1:10251/healthz
ok
检查当节主节点是哪个
[root@master1 pki]# kubectl get endpoints kube-scheduler --namespace=kube-system -o yaml
apiVersion: v1
kind: Endpoints
metadata:
annotations:
control-plane.alpha.kubernetes.io/leader: '{"holderIdentity":"master2_41aa3ed4-bf12-11e8-b2d2-52545f4f975a","leaseDurationSeconds":15,"acquireTime":"2018-09-23T09:28:23Z","renewTime":"2018-09-23T10:26:41Z","leaderTransitions":9}'
creationTimestamp: 2018-09-22T06:35:21Z
name: kube-scheduler
namespace: kube-system
resourceVersion: "104103"
selfLink: /api/v1/namespaces/kube-system/endpoints/kube-scheduler
uid: ae19fe71-be31-11e8-80b1-525494b06dee
7.node节点安装
kubelet 启动时向 kube-apiserver 发送 TLS bootstrapping 请求，需要先将 bootstrap token 文件中的 kubelet-bootstrap 用户赋予 system:node-bootstrapper cluster 角色(role)， 然后 kubelet 才能有权限创建认证请求(certificate signing requests)：
cd /etc/kubernetes
kubectl create clusterrolebinding kubelet-bootstrap
--clusterrole=system:node-bootstrapper
--user=kubelet-bootstrap
--user=kubelet-bootstrap 是在 /etc/kubernetes/token.csv 文件中指定的用户名，同时也写入了 /etc/kubernetes/bootstrap.kubeconfig 文件
kubelet安装
客户端启动node需要文件bootstrap.kubeconfig和kubelet.conf,kubelet.service
[root@node1 ~]# cat /usr/lib/systemd/system/kubelet.service
[Unit]
Description=Kubernetes Kubelet
After=docker.service
Requires=docker.service
[Service]
Environment="KUBELET_MY_ARGS=--runtime-cgroups=/systemd/system.slice --kubelet-cgroups=/systemd/system.slice" #此处要单独写在启动文件中,如果写在kubelet.conf文件中,会报错,在1.12.0可以直接写到kubelet.conf文件中
EnvironmentFile=-/etc/kubernetes/kubelet.conf
ExecStart=/usr/local/bin/kubelet KUBELET_MY_ARGS
Restart=on-failure
KillMode=process
[Install]
WantedBy=multi-user.target
在master1上面生成bootstrap.kubeconfig,拷贝到node节点
[root@node1 kubernetes]# cat bootstrap.kubeconfig
kubelet参数配置文件
[root@node1 kubernetes]# cat kubelet.conf
KUBELET_ARGS="--cgroup-driver=systemd
--hostname-override=172.16.0.8
--cert-dir=/etc/kubernetes/pki
--bootstrap-kubeconfig=/etc/kubernetes/bootstrap.kubeconfig
--kubeconfig=/etc/kubernetes/kubelet.kubeconfig" #此文件在ca服务端验证通过后,会自动生成.在这里只要指定生成文件地址就可以
master1上面生成拷贝到node节点
[root@node1 kubernetes]# cat token.csv
3d6e22f8d0ab15681f9b9317386ab0c4,kubelet-bootstrap,10001,"system:kubelet-bootstrap"
启动kubelet
systemctl daemon-reload
systemctl enable kubelet
systemctl start kubelet
systemctl status kubelet
注:kubelet启动成功后会在node节点生成三个文件
/etc/kubernetes/kubelet.kubeconfig 验证通过后生成的配置文件
/etc/kubernetes/pki/kubelet.key|kubelet.crt|kubelet-client-current.pem 生成三个配置文件
------------------------------------------------------------------------------------------------------------------------------------------------到此安装完成
使用命令kubectl get clusterrolebinding和kubectl get clusterrole可以查看系统中的角色与角色绑定
kube-proxy安装
客户端安装kube-proxy,主要有三个文件
服务启动文件
[root@node1 kubernetes]# cat /usr/lib/systemd/system/kube-proxy.service
[Unit]
Description=Kubernetes Kube-Proxy Server
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
After=network.target
[Service]
EnvironmentFile=-/etc/kubernetes/kube-proxy.conf
ExecStart=/usr/local/bin/kube-proxy $KUBE_PROXY_ARGS
Restart=on-failure
LimitNOFILE=65536
[Install]
WantedBy=multi-user.target
参数配置文件
[root@node1 kubernetes]# cat kube-proxy.conf
KUBE_PROXY_ARGS="--bind-address=172.16.0.8 --hostname-override=172.16.0.8 --cluster-cidr=169.169.0.0/16 --kubeconfig=/etc/kubernetes/kube-proxy.kubeconfig"
kubeconfig文件,主要包括了ca认证需要证书及apiserver的ip及端口
[root@node1 kubernetes]# cat kube-proxy.kubeconfig
启动服务
启动kubelet
systemctl daemon-reload
systemctl enable kube-proxy
systemctl start kube-proxy
systemctl status kube-proxy
------------------------------------------------------------------------------------------------------------------------------按以上配置即可启动成功
master验证node节点,在master上执行
kubectl get csr 查看是否有未认证的node节点
手动通过未认证的node节点
kubectl certificate approve node-csr-rX1lBLN1lwS6T-ffV412xdUctIVUrZLNBBLZqR2sURE
认证通过后,就可以看到成功的记录
[root@master1 ~]# kubectl get node
NAME STATUS ROLES AGE VERSION
172.16.0.8 Ready <none> 9h v1.11.0
172.16.0.9 Ready <none> 9h v1.11.0
出现以上说明node节点已通过认证
8.docker本地仓库搭建
1.创建本地镜像仓库
yum -y install docker
systemctl enable docker;systemctl start docker
docker run -d -p 5000:5000 --restart=always --name="docker-image" --hostname="master1" -v /data/docker-image:/registry -e REGISTRY_STORAGE_FILESYSTEM_ROOTDIRECTORY=/registry registry
浏览器访问,里面还没镜像,为空
http://173.248.227.20:5000/v2/
2.上传镜像到本地仓库,只在有搭建本地仓库的docker上执行即可
vim /etc/docker/daemon.json
{
"insecure-registries": ["172.16.0.2:5000"]
}
"registry-mirrors": ["http://hub-mirror.c.163.com"]
重启
systemctl restart docker
docker image
docker tag docker.io/registry 172.16.0.2:5000/docker.io/registry 修改镜像名
docker pull 172.16.0.2:5000/docker.io/registry 上传镜像
curl -X GET http://172.16.0.2:5000/v2/_catalog 查看私有仓库镜像
浏览器查看
http://173.248.227.20:5000/v2/_catalog
{"repositories":["docker.io/registry","k8s.gcr.io/etcd-amd64","k8s.gcr.io/kube-apiserver-amd64","k8s.gcr.io/kube-controller-manager-amd64","k8s.gcr.io/kube-proxy-amd64","k8s.gcr.io/kube-scheduler-amd64","k8s.gcr.io/pause-amd64"]}
3.其他master服务器上下载
拉取先要修改配置文件
vim /etc/docker/daemon.json
{
"insecure-registries": ["172.16.0.2:5000"] #加入本地仓库
}
"registry-mirrors": ["http://hub-mirror.c.163.com"]
systemctl restart docker
然后在目标服务器上执行下面命令,注意:172.16.0.2:5000/k8s.gcr.io/kube-apiserver-amd64:v1.11.3格式一定要正确,:后面的版本号一定要与docker images里面的相同
docker pull 172.16.0.2:5000/k8s.gcr.io/kube-apiserver-amd64:v1.11.3
docker pull 172.16.0.2:5000/k8s.gcr.io/kube-controller-manager-amd64:v1.11.3
docker pull 172.16.0.2:5000/k8s.gcr.io/kube-scheduler-amd64:v1.11.3
docker pull 172.16.0.2:5000/k8s.gcr.io/kube-proxy-amd64:v1.11.3
docker pull 172.16.0.2:5000/k8s.gcr.io/pause:3.1
docker pull 172.16.0.2:5000/k8s.gcr.io/etcd-amd64:3.2.18
docker pull 172.16.0.2:5000/k8s.gcr.io/coredns:1.1.3
然后修改镜像名,把172.16.0.2:5000端口去掉
docker tag 172.16.0.2:5000/k8s.gcr.io/kube-apiserver-amd64:v1.11.3 k8s.gcr.io/kube-apiserver-amd64:v1.11.3
docker tag 172.16.0.2:5000/k8s.gcr.io/kube-controller-manager-amd64:v1.11.3 k8s.gcr.io/kube-controller-manager-amd64:v1.11.3
docker tag 172.16.0.2:5000/k8s.gcr.io/kube-scheduler-amd64:v1.11.3 k8s.gcr.io/kube-scheduler-amd64:v1.11.3
docker tag 172.16.0.2:5000/k8s.gcr.io/kube-proxy-amd64:v1.11.3 k8s.gcr.io/kube-proxy-amd64:v1.11.3
docker tag 172.16.0.2:5000/k8s.gcr.io/pause:3.1 k8s.gcr.io/pause:3.1
docker tag 172.16.0.2:5000/k8s.gcr.io/etcd-amd64:3.2.18 k8s.gcr.io/etcd-amd64:3.2.18
docker tag 172.16.0.2:5000/k8s.gcr.io/coredns:1.1.3 k8s.gcr.io/coredns:1.1.3
vim /etc/systemd/system/kubelet.service.d/10-kubeadm.conf
--pod-infra-container-image=172.16.0.2/senyint/pause-amd64:3.0
Environment="KUBELET_INFRA_IMAGE=--pod-infra-container-image=172.16.0.2:5000/kube-apiserver-amd64:v1.11.3"
Environment="KUBELET_INFRA_IMAGE=--pod-infra-container-image=172.16.0.2:5000/kube-controller-manager-amd64:v1.11.3"
Environment="KUBELET_INFRA_IMAGE=--pod-infra-container-image=172.16.0.2:5000/kube-scheduler-amd64:v1.11.3"
Environment="KUBELET_INFRA_IMAGE=--pod-infra-container-image=172.16.0.2:5000/kube-proxy-amd64:v1.11.3"
Environment="KUBELET_INFRA_IMAGE=--pod-infra-container-image=172.16.0.2:5000/etcd-amd64:3.2.18"
Environment="KUBELET_INFRA_IMAGE=--pod-infra-container-image=172.16.0.2:5000/coredns:1.1.3"
Environment="KUBELET_INFRA_IMAGE=--pod-infra-container-image=172.16.0.2:5000/pause-amd64:3.0"
