kubeadm实现K8S的HA
1、环境准备： 虚拟机或服务器的master节点CPU需2核以上，可通过下述命令查看： cat /proc/cpuinfo| grep "physical id"| sort| uniq| wc -l
（1）k8s各节点SSH设置免密登录 所有节点用root用户操作，全部设置免密登陆，不做细分。
（2）时间同步。 yum install -y ntpdate ntpdate -u ntp.api.bz
（3）所有节点必须关闭防火墙及swap。 systemctl disable firewalld.service systemctl stop firewalld.service systemctl status firewalld.service sed -i 's/^SELINUX=enforcing$/SELINUX=permissive/' /etc/selinux/config setenforce 0 sed -i 's/.∗swap.∗.∗swap.∗/# \1/g' /etc/fstab swapoff -a 如果修改/etc/fstab里的swap相关信息，需要重启。
2、节点规划：
主机名 IP&Role 10.10.1.200 master1 etcd、Master、Node、keepalived 10.10.1.199 master2 etcd、Master、Node、keepalived 10.10.1.198 master3 etcd、Master、Node、keepalived 10.10.1.201 node1 10.10.1.202 node2 10.10.1.203 node3 10.10.1.210 cluster.kube.com
所有节点主机名和IP加入/etc/hosts解析 cat /etc/hosts 10.10.1.200 master1 10.10.1.201 node1 10.10.1.202 node2 10.10.1.203 node3 10.10.1.198 master3 10.10.1.199 master2 10.10.1.210 cluster.kube.com
3、镜像清单：
k8s.gcr.io/kube-proxy v1.13.0 8fa56d18961f 9 days ago 80.2MB k8s.gcr.io/kube-scheduler v1.13.0 9508b7d8008d 9 days ago 79.6MB k8s.gcr.io/kube-controller-manager v1.13.0 d82530ead066 9 days ago 146MB k8s.gcr.io/kube-apiserver v1.13.0 f1ff9b7e3d6e 9 days ago 181MB quay.io/calico/node v3.3.2 4e9be81e3a59 9 days ago 75.3MB quay.io/calico/cni v3.3.2 490d921fa49c 9 days ago 75.4MB k8s.gcr.io/coredns 1.2.6 f59dcacceff4 5 weeks ago 40MB k8s.gcr.io/etcd 3.2.24 3cab8e1b9802 2 months ago 220MB quay.io/coreos/flannel v0.10.0-s390x 463654e4ed2d 10 months ago 47MB quay.io/coreos/flannel v0.10.0-ppc64l e2f67d69dd84 10 months ago 53.5MB quay.io/coreos/flannel v0.10.0-arm c663d02f7966 10 months ago 39.9MB quay.io/coreos/flannel v0.10.0-amd64 f0fad859c909 10 months ago 44.6MB k8s.gcr.io/pause 3.1 da86e6ba6ca1 11 months ago 742kB --------------------- ----------------------------------------
4.部署keepalived
此处的keeplived的主要作用是为haproxy提供vip（10.10.1.210），在三个haproxy实例之间提供主备，降低当其中一个haproxy失效的时对服务的影响。 （1）系统配置 cat >> /etc/sysctl.conf << EOF net.ipv4.ip_forward = 1 EOF sysctl -p （2）安装keepalived yum install -y keepalived （3）配置keepalived： 【注意：VIP地址是否正确，且各个节点的priority不同，master1节点为MASTER，其余节点为BACKUP，killall -0 意思是根据进程名称检测进程是否存活】
--------------master1:
cat > /etc/keepalived/keepalived.conf << EOF
! Configuration File for keepalived
global_defs {
router_id LVS_DEVEL
}
vrrp_script check_haproxy {
script "killall -0 haproxy"
interval 3
weight -2
fall 10
rise 2
}
vrrp_instance VI_1 {
state MASTER
interface ens32
virtual_router_id 51
priority 250
advert_int 1
authentication {
auth_type PASS
auth_pass 35f18af7190d51c9f7f78f37300a0cbd
}
virtual_ipaddress {
10.10.1.210
}
track_script {
check_haproxy
}
}
EOF
--------------master2:
cat > /etc/keepalived/keepalived.conf << EOF
! Configuration File for keepalived
global_defs {
router_id LVS_DEVEL
}
vrrp_script check_haproxy {
script "killall -0 haproxy"
interval 3
weight -2
fall 10
rise 2
}
vrrp_instance VI_1 {
state BACKUP
interface ens32
virtual_router_id 51
priority 249
advert_int 1
authentication {
auth_type PASS
auth_pass 35f18af7190d51c9f7f78f37300a0cbd
}
virtual_ipaddress {
10.10.1.210
}
track_script {
check_haproxy
}
}
EOF
--------------master3:
cat > /etc/keepalived/keepalived.conf << EOF
! Configuration File for keepalived
global_defs {
router_id LVS_DEVEL
}
vrrp_script check_haproxy {
script "killall -0 haproxy"
interval 3
weight -2
fall 10
rise 2
}
vrrp_instance VI_1 {
state BACKUP
interface ens32
virtual_router_id 51
priority 248
advert_int 1
authentication {
auth_type PASS
auth_pass 35f18af7190d51c9f7f78f37300a0cbd
}
virtual_ipaddress {
10.10.1.210
}
track_script {
check_haproxy
}
}
EOF（4）启动并检测服务 systemctl enable keepalived.service systemctl start keepalived.service systemctl status keepalived.service ip address show ens32
5.部署haproxy【所有master】
此处的haproxy为apiserver提供反向代理，haproxy将所有请求轮询转发到每个master节点上。相对于仅仅使用keepalived主备模式仅单个master节点承载流量，这种方式更加合理、健壮。
（1）系统配置 cat >> /etc/sysctl.conf << EOF net.ipv4.ip_nonlocal_bind = 1 EOF sysctl -p
（2）安装haproxy yum install -y haproxy （3）配置haproxy【三个master节点一样】
cat > /etc/haproxy/haproxy.cfg << EOF
#---------------------------------------------------------------------
# Global settings
#---------------------------------------------------------------------
global
# to have these messages end up in /var/log/haproxy.log you will
# need to:
#
# 1) configure syslog to accept network log events. This is done
# by adding the '-r' option to the SYSLOGD_OPTIONS in
# /etc/sysconfig/syslog
#
# 2) configure local2 events to go to the /var/log/haproxy.log
# file. A line like the following can be added to
# /etc/sysconfig/syslog
#
# local2.* /var/log/haproxy.log
#
log 127.0.0.1 local2
chroot /var/lib/haproxy
pidfile /var/run/haproxy.pid
maxconn 40000
user haproxy
group haproxy
daemon
# turn on stats unix socket
stats socket /var/lib/haproxy/stats
#---------------------------------------------------------------------
# common defaults that all the 'listen' and 'backend' sections will
# use if not designated in their block
#---------------------------------------------------------------------
defaults
mode http
log global
option httplog
option dontlognull
option http-server-close
option forwardfor except 127.0.0.0/8
option redispatch
retries 3
timeout http-request 10s
timeout queue 1m
timeout connect 10s
timeout client 1m
timeout server 1m
timeout http-keep-alive 10s
timeout check 10s
maxconn 3000
#---------------------------------------------------------------------
# kubernetes apiserver frontend which proxys to the backends
#---------------------------------------------------------------------
frontend kubernetes-apiserver
mode tcp
bind *:16443
option tcplog
default_backend kubernetes-apiserver
#---------------------------------------------------------------------
# round robin balancing between the various backends
#---------------------------------------------------------------------
backend kubernetes-apiserver
mode tcp
balance roundrobin
server master1 10.10.1.200:6443 check
server master2 10.10.1.199:6443 check
server master3 10.10.1.198:6443 check
#---------------------------------------------------------------------
# collection haproxy statistics message
#---------------------------------------------------------------------
listen stats
bind *:1080
stats auth admin:awesomePassword
stats refresh 5s
stats realm HAProxy\ Statistics
stats uri /admin?stats
EOF（4）启动并检测服务 systemctl enable haproxy.service systemctl start haproxy.service systemctl status haproxy.service ss -lnt | grep -E "16443|1080" LISTEN 0 128 *:1080 *:* LISTEN 0 128 *:16443 *:* --------------------- 6.安装kubeadm、kubectl、kubelet、docker【为了方便，所有节点都直接复制粘贴进行相同操作】
（1）系统配置 cat <<EOF > /etc/sysctl.d/k8s.conf net.bridge.bridge-nf-call-ip6tables = 1 net.bridge.bridge-nf-call-iptables = 1 EOF sysctl --system
（2）安装docker ### 设置docker-ce的yum源 ### yum-config-manager --add-repo https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo yum -y repolist yum -y install docker-ce-18.06.1.ce-3.el7 --disableexcludes=docker-ce
# 编辑systemctl的Docker启动文件 sed -i "13i ExecStartPost=/usr/sbin/iptables -P FORWARD ACCEPT" /usr/lib/systemd/system/docker.service cat /usr/lib/systemd/system/docker.service |grep ExecStart
（3）安装kubernetes ### 设置kubernetes的yum源 ### cat <<EOF>> /etc/yum.repos.d/kubernetes.repo [kubernetes] name=Kubernetes baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/ enabled=1 gpgcheck=1 repo_gpgcheck=1 gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg EOF yum -y repolist yum -y install kubelet-1.13.0 kubeadm-1.13.0 kubectl-1.13.0 --disableexcludes=kubernetes
（4）# 启动docker&kubelet，设置开机启动 systemctl daemon-reload systemctl restart docker.service systemctl enable docker.service systemctl status docker.service systemctl enable kubelet.service
（5）#提前拉取镜像更改标签【所有节点】 docker pull mirrorgooglecontainers/kube-apiserver:v1.13.0 docker pull mirrorgooglecontainers/kube-controller-manager:v1.13.0 docker pull mirrorgooglecontainers/kube-scheduler:v1.13.0 docker pull mirrorgooglecontainers/kube-proxy:v1.13.0 docker pull mirrorgooglecontainers/pause:3.1 docker pull mirrorgooglecontainers/etcd:3.2.24 docker pull coredns/coredns:1.2.6
docker tag mirrorgooglecontainers/kube-apiserver:v1.13.0 k8s.gcr.io/kube-apiserver:v1.13.0 docker tag mirrorgooglecontainers/kube-controller-manager:v1.13.0 k8s.gcr.io/kube-controller-manager:v1.13.0 docker tag mirrorgooglecontainers/kube-scheduler:v1.13.0 k8s.gcr.io/kube-scheduler:v1.13.0 docker tag mirrorgooglecontainers/kube-proxy:v1.13.0 k8s.gcr.io/kube-proxy:v1.13.0 docker tag mirrorgooglecontainers/pause:3.1 k8s.gcr.io/pause:3.1 docker tag mirrorgooglecontainers/etcd:3.2.24 k8s.gcr.io/etcd:3.2.24 docker tag coredns/coredns:1.2.6 k8s.gcr.io/coredns:1.2.6
docker rmi mirrorgooglecontainers/kube-apiserver:v1.13.0 docker rmi mirrorgooglecontainers/kube-controller-manager:v1.13.0 docker rmi mirrorgooglecontainers/kube-scheduler:v1.13.0 docker rmi mirrorgooglecontainers/kube-proxy:v1.13.0 docker rmi mirrorgooglecontainers/pause:3.1 docker rmi mirrorgooglecontainers/etcd:3.2.24 docker rmi coredns/coredns:1.2.6 docker pull xiyangxixia/k8s-flannel:v0.10.0-s390x docker tag xiyangxixia/k8s-flannel:v0.10.0-s390x quay.io/coreos/flannel:v0.10.0-s390x docker rmi xiyangxixia/k8s-flannel:v0.10.0-s390x
docker pull xiyangxixia/k8s-flannel:v0.10.0-ppc64le docker tag xiyangxixia/k8s-flannel:v0.10.0-ppc64le quay.io/coreos/flannel:v0.10.0-ppc64l docker rmi xiyangxixia/k8s-flannel:v0.10.0-ppc64le
docker pull xiyangxixia/k8s-flannel:v0.10.0-arm docker tag xiyangxixia/k8s-flannel:v0.10.0-arm quay.io/coreos/flannel:v0.10.0-arm docker rmi xiyangxixia/k8s-flannel:v0.10.0-arm
docker pull xiyangxixia/k8s-flannel:v0.10.0-amd64 docker tag xiyangxixia/k8s-flannel:v0.10.0-amd64 quay.io/coreos/flannel:v0.10.0-amd64 docker rmi xiyangxixia/k8s-flannel:v0.10.0-amd64 --------------------- 7.部署master1
（1）编辑kubeadm配置文件 cd ~ cat > kubeadm-config.yaml << EOF apiVersion: kubeadm.k8s.io/v1beta1 kind: ClusterConfiguration kubernetesVersion: v1.13.0 apiServer: certSANs: - "cluster.kube.com" controlPlaneEndpoint: "cluster.kube.com:16443" networking: podSubnet: "10.244.0.0/16" EOF 注意：【podSubnet如果使用flannel方案，则推荐设置为10.244.0.0/16】 ------------------------------------------------------------------------------------------------------ （2）初始化第一个master节点 kubeadm init --config kubeadm-config.yaml ………… 记录加入集群的token等： kubeadm join cluster.kube.com:16443 --token h0q766.ng8jo85gpbdffqks --discovery-token-ca-cert-hash sha256:8d493104d82j59b3c777d4bc74822ecbe21ac618ea876acafb5876ebf4c45e80 此时kuberctl get nodes查看节点状态不可能是Ready，coredns会有问题比如taint什么的因为还没有设置网络插件先不用管。
第一个master上作为root用户执行下列命令：（如果不是root用户就需要执行kubeadm初始化之后提示的三个命令） echo "export KUBECONFIG=/etc/kubernetes/admin.conf" >> /etc/profile source /etc/profile echo $KUBECONFIG ------------------------------------------------------------------------------------------------------ （3）安装网络插件
设置系统参数【所有节点】： sysctl net.bridge.bridge-nf-call-iptables=1 创建网络： kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/bc79dd1505b0c8681ece4de4c0d86c5cd2643275/Documentation/kube-flannel.yml
查看状态： kubectl get nodes kubectl get pods --all-namespaces ------------------------------------------------------- （4）复制相关文件到其他两个master节点上 ssh root@master2 mkdir -p /etc/kubernetes/pki/etcd scp /etc/kubernetes/admin.conf root@master2:/etc/kubernetes scp /etc/kubernetes/pki/{ca.*,sa.*,front-proxy-ca.*} root@master2:/etc/kubernetes/pki scp /etc/kubernetes/pki/etcd/ca.* root@master2:/etc/kubernetes/pki/etcd
ssh root@master3 mkdir -p /etc/kubernetes/pki/etcd scp /etc/kubernetes/admin.conf root@master3:/etc/kubernetes scp /etc/kubernetes/pki/{ca.*,sa.*,front-proxy-ca.*} root@master3:/etc/kubernetes/pki scp /etc/kubernetes/pki/etcd/ca.* root@master3:/etc/kubernetes/pki/etcd --------------------- 8.部署其他的master
执行加入语句，后加--experimental-control-plane参数即可。 kubeadm join cluster.kube.com:16443 --token h0q766.ngajo85gpbdffqks --discovery-token-ca-cert-hash sha256:8d493104d87059b3c777d4bc74822ecbe21ac618ea876acafb5876ebf4c45e80 --experimental-control-plane 完成后执行： echo "export KUBECONFIG=/etc/kubernetes/admin.conf" >> /etc/profile source /etc/profile echo $KUBECONFIG =================================================================== 2.6、查看kubernetes集群各个状态【任意master执行即可】 （1）kubectl get nodes -o wide NAME STATUS ROLES AGE VERSION INTERNAL-IP EXTERNAL-IP OS-IMAGE KERNEL-VERSION CONTAINER-RUNTIME master1 Ready master 11m v1.13.0 10.10.1.200 <none> CentOS Linux 7 (Core) 3.10.0-862.el7.x86_64 docker://18.9.0 master2 Ready master 2m16s v1.13.0 10.10.1.199 <none> CentOS Linux 7 (Core) 3.10.0-862.el7.x86_64 docker://18.9.0 master3 Ready master 45s v1.13.0 10.10.1.198 <none> CentOS Linux 7 (Core) 3.10.0-862.el7.x86_64 docker://18.9.0
（2）kubectl get pods --all-namespaces -o wide
（3）kubectl get cs NAME STATUS MESSAGE ERROR controller-manager Healthy ok scheduler Healthy ok etcd-0 Healthy {"health": "true"}
（4）查看etcd集群状态： 进入容器： kubectl exec -ti -n kube-system etcd-master1 sh 设定环境变量： export ETCDCTL_API=3 执行带证书的语句： etcdctl --endpoints=https://[127.0.0.1]:2379 --cacert=/etc/kubernetes/pki/etcd/ca.crt --cert=/etc/kubernetes/pki/etcd/healthcheck-client.crt --key=/etc/kubernetes/pki/etcd/healthcheck-client.key member list 得到类似如下的结果： 4e0333cc4a713ecd, started, master3, https://10.10.1.198:2380, https://10.10.1.198:2379 865b63300bc38ab7, started, master2, https://10.10.1.199:2380, https://10.10.1.199:2379 d5c79fd433825701, started, master1, https://10.10.1.200:2380, https://10.10.1.200:2379
=============================================================================== 三、Node节点的配置【所有Worker】 确认已经完成了前面提到的“所有节点”的设置，包括hosts设置、SSH设置、安装了docker$k8s、提前拉取了镜像 3.1、参数设置 modprobe ip_vs_rr modprobe ip_vs_wrr modprobe ip_vs_sh modprobe ip_vs83【这个可能会提示没有，没关系】
3.2、执行加入语句： kubeadm join cluster.kube.com:16443 --token h0q766.ngajo85gpbdffqks --discovery-token-ca-cert-hash sha256:8d493104d87059b3c777d4bc74822ecbe21ac618ea876acafb5876ebf4c45e80 忘记或token超期的处理方式： Master上执行以下命令获取新的token值，： kubeadm token create 在master节点上执行以下命令链来获取新的hash值： openssl x509 -pubkey -in /etc/kubernetes/pki/ca.crt | openssl rsa -pubin -outform der 2>/dev/null | openssl dgst -sha256 -hex | sed 's/^.* //' 然后其他节点可以再通过命令加入： kubeadm join 192.168.1.201:6443 --token `新的token值` --discovery-token-ca-cert-hash `新的hash值`
3.3、master1查看状态 kubectl get nodes -o wide kubectl get pods --all-namespaces -o wide ---------------------
四、在k8s基础上配置dashboard 4.1、所有节点提前下载镜像并修改标签：【用1.8.3的】可以上https://hub.docker.com/r/library/查具体信息； docker pull k8scn/kubernetes-dashboard-amd64:v1.8.3 docker tag k8scn/kubernetes-dashboard-amd64:v1.8.3 k8s.gcr.io/kubernetes-dashboard-amd64:v1.8.3 docker rmi k8scn/kubernetes-dashboard-amd64:v1.8.3 docker images|grep dashboard
4.2、在master1上，应用dashboard的部署文件 （1）、下载和修改文件 wget https://raw.githubusercontent.com/kubernetes/dashboard/master/src/deploy/recommended/kubernetes-dashboard.yaml 修改上述文件，修改里面的镜像版本策略和版本，修改nodeport，默认的是v1.10.0的； ---------镜像策略部分-------------------------------- containers: - name: kubernetes-dashboard imagePullPolicy: IfNotPresent image: k8s.gcr.io/kubernetes-dashboard-amd64:v1.8.3 --------------------------------------- targetPort部分如下：改为nodePort类型并指定30080端口（实际看情况可以指定其他端口） # ------------------- Dashboard Service ------------------- # kind: Service apiVersion: v1 metadata: labels: k8s-app: kubernetes-dashboard name: kubernetes-dashboard namespace: kube-system spec: type: NodePort ports: - port: 443 targetPort: 8443 nodePort: 30080 selector: k8s-app: kubernetes-dashboard -------------------------------------------------- 然后执行: kubectl create -f kubernetes-dashboard.yaml
4.3、查看创建情况： kubectl get pods -n kube-system 创建不对的话可以使用kubectl delete -f kubernetes-dashboard.yaml删掉一切； 创建正常之后继续：
4.4、创建serviceaccount 用于登陆dashboard【名为dashboard-admin】 kubectl create serviceaccount dashboard-admin -n kube-system
4.5、创建clusterrolebinding kubectl create clusterrolebinding cluster-dashboard-admin --clusterrole=cluster-admin --serviceaccount=kube-system:dashboard-admin kubectl get svc --all-namespaces可以查看服务的IP及端口对应如下： kube-system kubernetes-dashboard NodePort 10.97.145.51 <none> 443:30080/TCP
4.6、查找刚刚生成的secret的token 先找secret:格式为 kubectl get secret -n kube-system|grep dashboard-admin 找到刚创建的secret名为：dashboard-admin-token-xxxx 实际查得：dashboard-admin-token-2kw7n 再找token，格式为：kubectl describe secret dashboard-admin-token-xxxx -n kube-system 实际操作 kubectl describe secret dashboard-admin-token-2kw7n -n kube-system 复制token： etoken: eyJhbGciOiJSUzI1NiIsImtpZCI6IiJ9.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.h3GdIgtH3KAr58GVsxqSyj-i9lnreRPGiResvof5viWP_P0X5l7q_dUclZf9UWhcPV7gaomOLZfttzsYNBfvb0KJgl6PMmnzbjaYHGbcpyFLWF0_51XxvjSnFpLdkH8x_bcI3ZewMHoYRu5-X1gjfNofHOXm4TaX9pMtXqSih-TKhwlUoVAN2lQ2pBcSdlpFHCg2gf85jb3Bm6LGXT5oBWkupXPmFKGX2EX3YgX4J8hPo-gmE-yHKIcRvVy_cfpAjJlmKUAnbXQSJCban0R7GIpYhNPrwJoMuOqCSLGgTPvG1kfvdeANHbA6wVm70SBc50STmrJJFGaML1urQzDtIA
7、登陆dashboard:使用火狐浏览器【chrome的添加例外比较麻烦】 https://10.10.1.200:30080【访问其他的集群里的IP也是一样的流程和结果，如访问某个Node的IP或者VIP都可以】 会有提示不安全，高级--添加例外，对10.10.1.200:30080添加例外； 然后会有两个选项分别是kubeconfig和token， 选择token 输入上面复制来的secret的token。 登录，即可查看各项内容。
五、配置监控 参考：http://blog.51cto.com/kaliarch/2160569
5.1、master/node节点环境部署 master1安装git，并下载相关yaml文件 git clone https://github.com/redhatxl/k8s-prometheus-grafana.git
5.2、在node节点下载监控所需镜像 docker pull prom/node-exporter docker pull prom/prometheus:v2.0.0 docker pull grafana/grafana:4.2.0
5.3、采用daemonset方式部署node-exporter组件 cd k8s-prometheus-grafana kubectl create -f node-exporter.yaml
5.4、部署prometheus组件 rbac文件 kubectl create -f prometheus/rbac-setup.yaml 以configmap的形式管理prometheus组件的配置文件 kubectl create -f prometheus/configmap.yaml Prometheus deployment 文件 kubectl create -f prometheus/prometheus.deploy.yml Prometheus service文件 kubectl create -f prometheus/prometheus.svc.yml
5.5、部署grafana组件 grafana deployment配置文件 kubectl create -f grafana/grafana-deploy.yaml grafana service配置文件 kubectl create -f grafana/grafana-svc.yaml grafana ingress配置文件 kubectl create -f grafana/grafana-ing.yaml
5.6、查看node-exporter http://10.10.1.210:31672/metrics prometheus对应的nodeport端口为30003，通过访问http://10.10.1.210:30003/target（这个要等一会儿） 可以看到prometheus已经成功连接上了k8s的apiserver，可以查看到一系列值。 kubectl get svc --all-namespaces查看grafana暴露的nodePort是32092； 通过端口进行granfa访问，http://10.10.1.210:32092默认用户名密码均为admin 登录后点击选择添加数据源，按如下填写： 数据源名称Prometheus，type选择prometheus； HTTP settings: Url:http://prometheus:9090 Access:proxy 其他不填，最下方选择添加，然后选择Save&Test，会有成功提示。 然后点击上方的保存dashboard按钮或者Ctrl+s保存。 导入Dashboard，点击import，会出现相关界面，直接输入模板编号315在线导入，然后选择数据源名称为prometheus，点击import即可。 或者下载好对应的json模板文件本地导入，面板模板下载地址https:///dashboards/315。 即可查看展示效果。
六、集群功能测试： （1）首先验证kube-apiserver, kube-controller-manager, kube-scheduler, pod network 是否正常： master上部署一个 Nginx Deployment，包含两个Pod 参考：https://kubernetes.io/docs/concepts/workloads/controllers/deployment/ kubectl create deployment nginx --image=nginx:alpine 等待一会儿之后创建成功； kubectl scale deployment nginx --replicas=2
验证Nginx Pod是否正确运行，并且会分配10.244.开头的集群IP kubectl get pods -l app=nginx -o wide 输出如下： NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE nginx-65d5c4f7cc-7pzgp 1/1 Running 0 88s 10.244.1.2 ubuntu2 <none> nginx-65d5c4f7cc-l2h26 1/1 Running 0 82s 10.244.1.3 ubuntu2 <none> 如果哪个不正常，可以使用 kubectl describe pod nginx-xxxxxx来查看相信信息；
（2）再验证一下kube-proxy是否正常：Master上操作 # 以 NodePort 方式对外提供服务 https://kubernetes.io/docs/concepts/services-networking/connect-applications-service/ kubectl expose deployment nginx --port=80 --type=NodePort # 查看集群外可访问的Port kubectl get services nginx # 输出如下： NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE nginx NodePort 10.98.44.131 <none> 80:32137/TCP 10s # 可以通过集群内的任意 NodeIP:Port 在集群外部访问这个服务，或者通过浏览器访问也可以； curl http://10.10.1.201:32137 curl http://10.10.1.202:32137 curl http://10.10.1.203:32137
（3）验证一下dns, pod network是否正常： 查看内网IP： NAME READY STATUS RESTARTS AGE IP NODE nginx-f9f67b99-tbdhf 1/1 Running 0 4m 10.244.3.2 node3 nginx-f9f67b99-w4zrp 1/1 Running 0 3m 10.244.1.2 node1
（4） 运行Busybox并进入交互模式 kubectl run -it curl --image=radial/busyboxplus:curl # 输入`nslookup nginx`查看是否可以正确解析出集群内的IP，已验证DNS是否正常 nslookup nginx # 输出如下： [ root@curl-87b54756-bt8bs:/ ]$ nslookup nginx Server: 10.96.0.10 Address 1: 10.96.0.10 kube-dns.kube-system.svc.cluster.local
Name: nginx Address 1: 10.100.213.93 nginx.default.svc.cluster.local [ root@curl-87b54756-bt8bs:/ ]$ # 通过服务名进行访问，验证kube-proxy是否正常 [ root@curl-5cc7b478b6-tlf46:/ ]$ curl http://nginx/ # 输出如下： # <!DOCTYPE html> ---省略，但主要内容应该跟前几步curl出来的nginx信息一样； # 分别访问一下2个Pod的内网IP，验证跨Node的网络通信是否正常（内网IP是从上面查来的） [ root@curl-5cc7b478b6-tlf46:/ ]$ curl http://10.244.3.2/ [ root@curl-5cc7b478b6-tlf46:/ ]$ curl http://10.244.1.2/ ---------------------
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