【Kubernetes学习之二】Kubernetes集群安装
环境
centos 7
Kubernetes有三种安装方式:yum、二进制、kubeadm,这里演示kubeadm。
一、准备工作
1、软件版本
软件 | 版本 |
kubernetes | v1.15.3 |
CentOS7.6 | CentOS Linux release 7.6.1810(Core) |
Docker | docker-ce-19.03.1-3.el7.x86_64 |
flannel | 0.11.0 |
2、集群拓扑
IP | 角色 | 主机名 |
192.168.118.106 | master | node106 k8s-master |
192.168.118.107 | node01 | node107 k8s-node01 |
192.168.118.108 | node02 | node108 k8s-node02 |
节点及网络规划如下:
3、系统设置
3.1 配置主机名-/etc/hosts
- 192.168.118.106 node106 k8s-master
- 192.168.118.107 node107 k8s-node01
- 192.168.118.108 node108 k8s-node02
3.2 关闭防火墙
- [root@node106 ~]# yum install -y net-tools
- #关闭防火墙
- [root@node106 ~]# systemctl stop firewalld
- #禁用防火墙
- [root@node106 ~]# systemctl disable firewalld
3.3 文件权限相关-关闭SELinux
目的是允许容器访问主机文件系统。
- [root@node106 ~]# sed -i 's#SELINUX=enforcing#SELINUX=disabled#g' /etc/selinux/config
- [root@node106 ~]# setenforce
3.4 关闭swap
kubernetes的想法是将实例紧密包装到尽可能接近100%,所有的部署应该与CPU/内存限制固定在一起,所以如果调度程序发送一个pod到一台机器,它不应该使用交换。
设计者不想交换,因为它会减慢速度,所以关闭swap主要是为了性能考虑。当然为了一些节省资源的场景,比如运行容器数量较多,可添加kubelet参数 --fail-swap-on=false来解决
- [root@node106 ~]# swapoff -a
- [root@node106 ~]# sed -i 's/.*swap.*/#&/' /etc/fstab
3.5 配置转发参数
RHEL/CentOS7上由于iptables被绕过而导致流量路由不正确的问题,需要将net.bridge.bridge-nf-call-iptables在sysctl配置中设置为1。
确保br_netfilter在此步骤之前加载了模块。这可以通过运行来完成lsmod | grep br_netfilter。要加载它显式调用modprobe br_netfilter。
(1)首先查看是否加载了模块br_netfilter
- [root@node106 ~]# lsmod | grep br_netfilter
- br_netfilter
- bridge br_netfilter
(2)如果未加载,进行加载
- [root@node106 ~]# modprobe br_netfilter
(3)配置net.bridge.bridge-nf-call-iptables
- [root@node106 ~]# cat <<EOF > /etc/sysctl.d/k8s.conf
- > net.bridge.bridge-nf-call-ip6tables =
- > net.bridge.bridge-nf-call-iptables =
- > EOF
- [root@node106 ~]# sysctl --system
- * Applying /usr/lib/sysctl.d/-system.conf ...
- net.bridge.bridge-nf-call-ip6tables =
- net.bridge.bridge-nf-call-iptables =
- net.bridge.bridge-nf-call-arptables =
- * Applying /usr/lib/sysctl.d/-default-yama-scope.conf ...
- kernel.yama.ptrace_scope =
- * Applying /usr/lib/sysctl.d/-default.conf ...
- kernel.sysrq =
- kernel.core_uses_pid =
- net.ipv4.conf.default.rp_filter =
- net.ipv4.conf.all.rp_filter =
- net.ipv4.conf.default.accept_source_route =
- net.ipv4.conf.all.accept_source_route =
- net.ipv4.conf.default.promote_secondaries =
- net.ipv4.conf.all.promote_secondaries =
- fs.protected_hardlinks =
- fs.protected_symlinks =
- * Applying /etc/sysctl.d/-sysctl.conf ...
- * Applying /etc/sysctl.d/k8s.conf ...
- net.bridge.bridge-nf-call-ip6tables =
- net.bridge.bridge-nf-call-iptables =
- * Applying /etc/sysctl.conf ...
4、docker安装
(1)设置docker源。
- [root@node106 ~]# yum install -y yum-utils device-mapper-persistent-data lvm2
- [root@node106 ~]# yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
#禁用docker-ce-edge开发版本 不稳定
- [root@node106 ~]# yum-config-manager --disable docker-ce-edge
- [root@node106 ~]# yum makecache fast
(2)查看目前官方仓库的docker版本
- [root@node106 yum.repos.d]# yum list docker-ce.x86_64 --showduplicates |sort -r
- * updates: mirrors.aliyun.com
- Loading mirror speeds from cached hostfile
- Loaded plugins: fastestmirror
- * extras: mirrors.aliyun.com
- docker-ce.x86_64 :19.03.-.el7 docker-ce-stable
- docker-ce.x86_64 :19.03.-.el7 docker-ce-stable
- docker-ce.x86_64 :18.09.-.el7 docker-ce-stable
- docker-ce.x86_64 :18.09.-.el7 docker-ce-stable
- docker-ce.x86_64 :18.09.-.el7 docker-ce-stable
- docker-ce.x86_64 :18.09.-.el7 docker-ce-stable
- docker-ce.x86_64 :18.09.-.el7 docker-ce-stable
- docker-ce.x86_64 :18.09.-.el7 docker-ce-stable
- docker-ce.x86_64 :18.09.-.el7 docker-ce-stable
- docker-ce.x86_64 :18.09.-.el7 docker-ce-stable
- docker-ce.x86_64 :18.09.-.el7 docker-ce-stable
- docker-ce.x86_64 18.06..ce-.el7 docker-ce-stable
- docker-ce.x86_64 18.06..ce-.el7 docker-ce-stable
- docker-ce.x86_64 18.06..ce-.el7 docker-ce-stable
- docker-ce.x86_64 18.06..ce-.el7 docker-ce-stable
- docker-ce.x86_64 18.03..ce-.el7.centos docker-ce-stable
- docker-ce.x86_64 18.03..ce-.el7.centos docker-ce-stable
- docker-ce.x86_64 17.12..ce-.el7.centos docker-ce-stable
- docker-ce.x86_64 17.12..ce-.el7.centos docker-ce-stable
- docker-ce.x86_64 17.09..ce-.el7.centos docker-ce-stable
- docker-ce.x86_64 17.09..ce-.el7.centos docker-ce-stable
- docker-ce.x86_64 17.06..ce-.el7.centos docker-ce-stable
- docker-ce.x86_64 17.06..ce-.el7.centos docker-ce-stable
- docker-ce.x86_64 17.06..ce-.el7.centos docker-ce-stable
- docker-ce.x86_64 17.03..ce-.el7 docker-ce-stable
- docker-ce.x86_64 17.03..ce-.el7.centos docker-ce-stable
- docker-ce.x86_64 17.03..ce-.el7.centos docker-ce-stable
- docker-ce.x86_64 17.03..ce-.el7.centos docker-ce-stable
- * base: mirrors.aliyun.com
- Available Packages
(3)安装docker
- [root@node106 ~]# yum install docker-ce-19.03.-.el7 -y
(4)配置国内镜像仓库加速器
- [root@node106 ~]# mkdir -p /etc/docker
- [root@node106 ~]# tee /etc/docker/daemon.json <<-'EOF'
- {
- "registry-mirrors": ["https://qr09dqf9.mirror.aliyuncs.com"]
- }
- EOF
(5)启动docker
- [root@node106 ~]# systemctl daemon-reload
- [root@node106 ~]# systemctl enable docker
- [root@node106 ~]# systemctl start docker
验证:
- [root@node106 ~]# docker -v
- Docker version 19.03., build 74b1e89
5、安装kubernetes相关组件
5.1设置国内kubernetes阿里云源。
- cat <<EOF > /etc/yum.repos.d/kubernetes.repo
- [kubernetes]
- name=Kubernetes
- baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
- enabled=
- gpgcheck=
- repo_gpgcheck=
- gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
- EOF
#增量更新缓存
- [root@node106 ~]# yum makecache fast -y
#查看kubectl kubelet kubeadm列表
- [root@node106 ~]# yum list kubectl kubelet kubeadm
- Loaded plugins: fastestmirror
- Loading mirror speeds from cached hostfile
- * base: mirrors.aliyun.com
- * extras: mirrors.aliyun.com
- * updates: mirrors.aliyun.com
- Available Packages
- kubeadm.x86_64 1.15.- kubernetes
- kubectl.x86_64 1.15.- kubernetes
- kubelet.x86_64 1.15.-
#安装
- [root@node106 ~]# yum install -y kubectl kubelet kubeadm
开启kubelet服务
- [root@node106 ~]# systemctl enable --now kubelet
- Created symlink from /etc/systemd/system/multi-user.target.wants/kubelet.service to /usr/lib/systemd/system/kubelet.service.
6、加载IPVS内核
ipvs (IP Virtual Server) 实现了传输层负载均衡,也就是我们常说的4层LAN交换,作为 Linux 内核的一部分。ipvs运行在主机上,在真实服务器集群前充当负载均衡器。ipvs可以将基于TCP和UDP的服务请求转发到真实服务器上,并使真实服务器的服务在单个 IP 地址上显示为虚拟服务。pod的负载均衡是用kube-proxy来实现的,实现方式有两种,一种是默认的iptables,一种是ipvs,ipvs比iptable的性能更好而已。
(1)加载ipvs内核,使node节点kube-proxy支持ipvs代理规则。
- #检查有没有开启
- [root@node106 ~]# cut -f1 -d " " /proc/modules | grep -e ip_vs -e nf_conntrack_ipv4
- ip_vs_sh
- ip_vs_wrr
- ip_vs_rr
- ip_vs
- nf_conntrack_ipv4
- #如果没有开启 使用如下命令开启:
- modprobe ip_vs
- modprobe ip_vs_rr
- modprobe ip_vs_wrr
- modprobe ip_vs_sh
- modprobe nf_conntrack_ipv4
(2)添加到开机启动文件/etc/rc.local里面
- cat <<EOF >> /etc/rc.local
- modprobe ip_vs
modprobe ip_vs_rr- modprobe ip_vs_wrr
- modprobe ip_vs_sh
modprobe nf_conntrack_ipv4
- EOF
(3)ipvs还需要ipset
- [root@node106 ~]# yum install ipset ipvsadm -y
参考:
k8s集群中ipvs负载详解
如何在kubernetes中启用ipvs
二、安装master节点
1、初始化master节点
kubeadm init --kubernetes-version=v1.15.3
1)初始化遇到的问题
第一次init:
- [root@node106 ~]# kubeadm init --kubernetes-version=v1.15.3
- [init] Using Kubernetes version: v1.15.3
- [preflight] Running pre-flight checks
- [WARNING IsDockerSystemdCheck]: detected "cgroupfs" as the Docker cgroup driver. The recommended driver is "systemd". Please follow the guide at https://kubernetes.io/docs/setup/cri/
- [WARNING SystemVerification]: this Docker version is not on the list of validated versions: 19.03.. Latest validated version: 18.09
- [WARNING Service-Kubelet]: kubelet service is not enabled, please run 'systemctl enable kubelet.service'
- error execution phase preflight: [preflight] Some fatal errors occurred:
- [ERROR NumCPU]: the number of available CPUs is less than the required
- [preflight] If you know what you are doing, you can make a check non-fatal with `--ignore-preflight-errors=...`
分析:
警告1:[WARNING IsDockerSystemdCheck]: detected "cgroupfs" as the Docker cgroup driver. The recommended driver is "systemd".
警告2:[WARNING SystemVerification]: this Docker version is not on the list of validated versions: 19.03.1. Latest validated version: 18.09
版本警告
警告3:[WARNING Service-Kubelet]: kubelet service is not enabled, please run 'systemctl enable kubelet.service'
解决:[root@node106 ~]# systemctl enable kubelet.service
错误1:[ERROR NumCPU]:设置虚拟机CPU核心数>1个即可
第二次init:
- [root@node106 ~]# kubeadm init --kubernetes-version=v1.15.3
- [init] Using Kubernetes version: v1.15.3
- [preflight] Running pre-flight checks
- [WARNING IsDockerSystemdCheck]: detected "cgroupfs" as the Docker cgroup driver. The recommended driver is "systemd". Please follow the guide at https://kubernetes.io/docs/setup/cri/
- [WARNING SystemVerification]: this Docker version is not on the list of validated versions: 19.03.. Latest validated version: 18.09
- [preflight] Pulling images required for setting up a Kubernetes cluster
- [preflight] This might take a minute or two, depending on the speed of your internet connection
- [preflight] You can also perform this action in beforehand using 'kubeadm config images pull'
- error execution phase preflight: [preflight] Some fatal errors occurred:
- [ERROR ImagePull]: failed to pull image k8s.gcr.io/kube-apiserver:v1.15.3: output: Error response from daemon: Get https://k8s.gcr.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
- , error: exit status
- [ERROR ImagePull]: failed to pull image k8s.gcr.io/kube-controller-manager:v1.15.3: output: Error response from daemon: Get https://k8s.gcr.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
- , error: exit status
- [ERROR ImagePull]: failed to pull image k8s.gcr.io/kube-scheduler:v1.15.3: output: Error response from daemon: Get https://k8s.gcr.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
- , error: exit status
- [ERROR ImagePull]: failed to pull image k8s.gcr.io/kube-proxy:v1.15.3: output: Error response from daemon: Get https://k8s.gcr.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
- , error: exit status
- [ERROR ImagePull]: failed to pull image k8s.gcr.io/pause:3.1: output: Error response from daemon: Get https://k8s.gcr.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
- , error: exit status
- [ERROR ImagePull]: failed to pull image k8s.gcr.io/etcd:3.3.: output: Error response from daemon: Get https://k8s.gcr.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
- , error: exit status
- [ERROR ImagePull]: failed to pull image k8s.gcr.io/coredns:1.3.: output: Error response from daemon: Get https://k8s.gcr.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
- , error: exit status
- [preflight] If you know what you are doing, you can make a check non-fatal with `--ignore-preflight-errors=...`
- [root@node106 ~]#
分析:
错误1:[ERROR ImagePull] 拉取Image失败,因为连接的是google服务器,可以根据报错中版本号使用docker拉取或者通过kubeadm config images list查看需要下载的版本
- [root@node106 ~]# kubeadm config images list
- W0906 ::52.841583 version.go:] could not fetch a Kubernetes version from the internet: unable to get URL "https://dl.k8s.io/release/stable-1.txt": Get https://dl.k8s.io/release/stable-1.txt: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
- W0906 ::52.841780 version.go:] falling back to the local client version: v1.15.3
- k8s.gcr.io/kube-apiserver:v1.15.3
- k8s.gcr.io/kube-controller-manager:v1.15.3
- k8s.gcr.io/kube-scheduler:v1.15.3
- k8s.gcr.io/kube-proxy:v1.15.3
- k8s.gcr.io/pause:3.1
- k8s.gcr.io/etcd:3.3.
- k8s.gcr.io/coredns:1.3.
- [root@node106 ~]#
(2)准备镜像
mirrorgooglecontainers 在 docker hub 同步了所有 k8s 最新的镜像,先从这儿下载,然后修改 tag 即可。
#拉镜像
- [root@node106 ~]# kubeadm config images list |sed -e 's/^/docker pull /g' -e 's#k8s.gcr.io#mirrorgooglecontainers#g' |sh -x && docker pull coredns/coredns:1.3.
#修改tag,将镜像标记为k8s.gcr.io的名称
- [root@node106 ~]# docker images |grep mirrorgooglecontainers |awk '{print "docker tag ",$1":"$2,$1":"$2}' |sed -e 's#mirrorgooglecontainers#k8s.gcr.io#2' |sh -x && docker tag coredns/coredns:1.3. k8s.gcr.io/coredns:1.3.
#删除无用的镜像
- [root@node106 ~]# docker images | grep mirrorgooglecontainers | awk '{print "docker rmi " $1":"$2}' | sh -x && docker rmi coredns/coredns:1.3.
最终:
- [root@node106 ~]# docker images
- REPOSITORY TAG IMAGE ID CREATED SIZE
- k8s.gcr.io/kube-proxy v1.15.3 232b5c793146 weeks ago .4MB
- k8s.gcr.io/kube-apiserver v1.15.3 5eb2d3fc7a44 weeks ago 207MB
- k8s.gcr.io/kube-controller-manager v1.15.3 e77c31de5547 weeks ago 159MB
- k8s.gcr.io/kube-scheduler v1.15.3 703f9c69a5d5 weeks ago .1MB
- k8s.gcr.io/coredns 1.3. eb516548c180 months ago .3MB
- k8s.gcr.io/etcd 3.3. 2c4adeb21b4f months ago 258MB
- k8s.gcr.io/pause 3.1 da86e6ba6ca1 months ago 742kB
- [root@node106 ~]#
(3)初始化
因为后面要安装网络插件flannel ,所有这里要添加参数, --pod-network-cidr=10.244.0.0/16
,10.244.0.0/16是flannel插件固定使用的ip段,它的值取决于你准备安装哪个网络插件
- [root@node106 ~]# kubeadm init --pod-network-cidr=10.244.0.0/16 --kubernetes-version=1.15.3
- [init] Using Kubernetes version: v1.15.3
- [preflight] Running pre-flight checks
- [WARNING IsDockerSystemdCheck]: detected "cgroupfs" as the Docker cgroup driver. The recommended driver is "systemd". Please follow the guide at https://kubernetes.io/docs/setup/cri/
- [WARNING SystemVerification]: this Docker version is not on the list of validated versions: 19.03.. Latest validated version: 18.09
- [preflight] Pulling images required for setting up a Kubernetes cluster
- [preflight] This might take a minute or two, depending on the speed of your internet connection
- [preflight] You can also perform this action in beforehand using 'kubeadm config images pull'
- [kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
- [kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
- [kubelet-start] Activating the kubelet service
- [certs] Using certificateDir folder "/etc/kubernetes/pki"
- [certs] Generating "etcd/ca" certificate and key
- [certs] Generating "etcd/server" certificate and key
- [certs] etcd/server serving cert is signed for DNS names [node106 localhost] and IPs [192.168.118.106 127.0.0.1 ::]
- [certs] Generating "apiserver-etcd-client" certificate and key
- [certs] Generating "etcd/peer" certificate and key
- [certs] etcd/peer serving cert is signed for DNS names [node106 localhost] and IPs [192.168.118.106 127.0.0.1 ::]
- [certs] Generating "etcd/healthcheck-client" certificate and key
- [certs] Generating "ca" certificate and key
- [certs] Generating "apiserver" certificate and key
- [certs] apiserver serving cert is signed for DNS names [node106 kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 192.168.118.106]
- [certs] Generating "apiserver-kubelet-client" certificate and key
- [certs] Generating "front-proxy-ca" certificate and key
- [certs] Generating "front-proxy-client" certificate and key
- [certs] Generating "sa" key and public key
- [kubeconfig] Using kubeconfig folder "/etc/kubernetes"
- [kubeconfig] Writing "admin.conf" kubeconfig file
- [kubeconfig] Writing "kubelet.conf" kubeconfig file
- [kubeconfig] Writing "controller-manager.conf" kubeconfig file
- [kubeconfig] Writing "scheduler.conf" kubeconfig file
- [control-plane] Using manifest folder "/etc/kubernetes/manifests"
- [control-plane] Creating static Pod manifest for "kube-apiserver"
- [control-plane] Creating static Pod manifest for "kube-controller-manager"
- [control-plane] Creating static Pod manifest for "kube-scheduler"
- [etcd] Creating static Pod manifest for local etcd in "/etc/kubernetes/manifests"
- [wait-control-plane] Waiting for the kubelet to boot up the control plane as static Pods from directory "/etc/kubernetes/manifests". This can take up to 4m0s
- [apiclient] All control plane components are healthy after 20.007081 seconds
- [upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
- [kubelet] Creating a ConfigMap "kubelet-config-1.15" in namespace kube-system with the configuration for the kubelets in the cluster
- [upload-certs] Skipping phase. Please see --upload-certs
- [mark-control-plane] Marking the node node106 as control-plane by adding the label "node-role.kubernetes.io/master=''"
- [mark-control-plane] Marking the node node106 as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
- [bootstrap-token] Using token: unqj7v.wr7yvcj8i7wan93g
- [bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles
- [bootstrap-token] configured RBAC rules to allow Node Bootstrap tokens to post CSRs in order for nodes to get long term certificate credentials
- [bootstrap-token] configured RBAC rules to allow the csrapprover controller automatically approve CSRs from a Node Bootstrap Token
- [bootstrap-token] configured RBAC rules to allow certificate rotation for all node client certificates in the cluster
- [bootstrap-token] Creating the "cluster-info" ConfigMap in the "kube-public" namespace
- [addons] Applied essential addon: CoreDNS
- [addons] Applied essential addon: kube-proxy
- Your Kubernetes control-plane has initialized successfully!
- To start using your cluster, you need to run the following as a regular user:
- mkdir -p $HOME/.kube
- sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
- sudo chown $(id -u):$(id -g) $HOME/.kube/config
- You should now deploy a pod network to the cluster.
- Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:
- https://kubernetes.io/docs/concepts/cluster-administration/addons/
- Then you can join any number of worker nodes by running the following on each as root:
- kubeadm join 192.168.118.106:6443 --token unqj7v.wr7yvcj8i7wan93g \
- --discovery-token-ca-cert-hash sha256:011f55be71445e7031ac7a582afc7a4350cdf6d8ae8bef790d2517634d93f337
后续操作:
- [root@node106 ~]# mkdir -p $HOME/.kube
- [root@node106 ~]# sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
- [root@node106 ~]# sudo chown $(id -u):$(id -g) $HOME/.kube/config
kubectl命令默认从$HOME/.kube/config这个位置读取配置,不做这个操作,使用kubectl会报错。
2、给pod配置网络
Flannel是 CoreOS 团队针对 Kubernetes 设计的一个覆盖网络(Overlay Network)工具,其目的在于帮助每一个使用 Kuberentes 的 CoreOS 主机拥有一个完整的子网。
Flannel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,它基于Linux TUN/TAP,使用UDP封装IP包来创建overlay网络,并借助etcd维护网络的分配情况。
#下载Flannel插件配置
- [root@node106 ~]# wget https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
- [root@node106 ~]# ll
- total
- -rw-------. root root Aug : anaconda-ks.cfg
- -rw-r--r-- root root Sep : kube-flannel.yml
#kube安装kube-flannel.yml
- [root@node106 ~]# kubectl apply -f kube-flannel.yml
- podsecuritypolicy.policy/psp.flannel.unprivileged created
- clusterrole.rbac.authorization.k8s.io/flannel created
- clusterrolebinding.rbac.authorization.k8s.io/flannel created
- serviceaccount/flannel created
- configmap/kube-flannel-cfg created
- daemonset.apps/kube-flannel-ds-amd64 created
- daemonset.apps/kube-flannel-ds-arm64 created
- daemonset.apps/kube-flannel-ds-arm created
- daemonset.apps/kube-flannel-ds-ppc64le created
- daemonset.apps/kube-flannel-ds-s390x created
#查看Master状态
- [root@node106 ~]# kubectl get pods --all-namespaces
- NAMESPACE NAME READY STATUS RESTARTS AGE
- kube-system coredns-5c98db65d4-dwjfs / Running 3h57m
- kube-system coredns-5c98db65d4-xxdr2 / Running 3h57m
- kube-system etcd-node106 / Running 3h56m
- kube-system kube-apiserver-node106 / Running 3h56m
- kube-system kube-controller-manager-node106 / Running 3h56m
- kube-system kube-flannel-ds-amd64-srdxz / Running 2m32s
- kube-system kube-proxy-8mxmm / Running 3h57m
- kube-system kube-scheduler-node106 / Running 3h56m
不是running状态,就说明出错了,通过以下操作来来排错:
查看描述:
- [root@node106 ~]# kubectl describe pod kube-scheduler-node106 -n kube-system
查看日志:
- [root@node106 ~]# kubectl logs kube-scheduler-node106 -n kube-system
参考:Flannel安装部署
三、安装node节点
1、下载需要的镜像
node107和node108节点只需要安装kube-proxy和pause镜像
- [root@node107 ~]# docker images
- REPOSITORY TAG IMAGE ID CREATED SIZE
- k8s.gcr.io/kube-proxy v1.15.3 232b5c793146 weeks ago .4MB
- k8s.gcr.io/pause 3.1 da86e6ba6ca1 months ago 742kB
2、添加节点
在master上初始化节点成功时,最后有一个kubeadm join,就是用来添加节点的
在node107和node108上操作:
- [root@node107 ~]# kubeadm join 192.168.118.106:6443 --token unqj7v.wr7yvcj8i7wan93g \
- > --discovery-token-ca-cert-hash sha256:011f55be71445e7031ac7a582afc7a4350cdf6d8ae8bef790d2517634d93f337
- [preflight] Running pre-flight checks
- [WARNING IsDockerSystemdCheck]: detected "cgroupfs" as the Docker cgroup driver. The recommended driver is "systemd". Please follow the guide at https://kubernetes.io/docs/setup/cri/
- [WARNING SystemVerification]: this Docker version is not on the list of validated versions: 19.03.. Latest validated version: 18.09
- [preflight] Reading configuration from the cluster...
- [preflight] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -oyaml'
- [kubelet-start] Downloading configuration for the kubelet from the "kubelet-config-1.15" ConfigMap in the kube-system namespace
- [kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
- [kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
- [kubelet-start] Activating the kubelet service
- [kubelet-start] Waiting for the kubelet to perform the TLS Bootstrap...
- This node has joined the cluster:
- * Certificate signing request was sent to apiserver and a response was received.
- * The Kubelet was informed of the new secure connection details.
- Run 'kubectl get nodes' on the control-plane to see this node join the cluster.
提示:如果执行join命令时提示token过期,按照提示在Master 上执行kubeadm token create生成一个新的token。如果忘记token,可以使用kubeadm token list查看。
四、验证集群
1、节点状态
- [root@node106 ~]# kubectl get nodes
- NAME STATUS ROLES AGE VERSION
- node106 Ready master 4h53m v1.15.3
- node107 Ready <none> 101s v1.15.3
- node108 Ready <none> 82s v1.15.3
2、组件状态
- [root@node106 ~]# kubectl get cs
- NAME STATUS MESSAGE ERROR
- controller-manager Healthy ok
- scheduler Healthy ok
- etcd- Healthy {"health":"true"}
3、服务账户
- [root@node106 ~]# kubectl get serviceaccount
- NAME SECRETS AGE
- default 5h1m
4、集群信息
- [root@node106 ~]# kubectl cluster-info
- Kubernetes master is running at https://192.168.118.106:6443
- KubeDNS is running at https://192.168.118.106:6443/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy
- To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
5、验证dns功能
- [root@node106 ~]# kubectl run curl --image=radial/busyboxplus:curl -it
- kubectl run --generator=deployment/apps.v1 is DEPRECATED and will be removed in a future version. Use kubectl run --generator=run-pod/v1 or kubectl create instead.
- If you don't see a command prompt, try pressing enter.
- [ root@curl-6bf6db5c4f-dn65h:/ ]$ nslookup kubernetes.default
- Server: 10.96.0.10
- Address : 10.96.0.10 kube-dns.kube-system.svc.cluster.local
- Name: kubernetes.default
- Address : 10.96.0.1 kubernetes.default.svc.cluster.local
五、案例验证
创建一个nginx的service试一下集群是否可用。
(1)创建并运行deployment
- [root@node106 ~]# kubectl run nginx --replicas= --labels="run=load-balancer-example" --image=nginx --port=
- kubectl run --generator=deployment/apps.v1 is DEPRECATED and will be removed in a future version. Use kubectl run --generator=run-pod/v1 or kubectl create instead.
- deployment.apps/nginx created
(2)把服务通过nodeport的形式暴露出来
- [root@node106 ~]# kubectl expose deployment nginx --type=NodePort --name=example-service
- service/example-service exposed
- #查看服务的详细信息
- [root@node106 ~]# kubectl expose deployment nginx --type=NodePort --name=example-service
- service/example-service exposed
- [root@node106 ~]# kubectl describe service example-service
- Name: example-service
- Namespace: default
- Labels: run=load-balancer-example
- Annotations: <none>
- Selector: run=load-balancer-example
- Type: NodePort
- IP: 10.108.73.249
- Port: <unset> /TCP
- TargetPort: /TCP
- NodePort: <unset> /TCP
- Endpoints: 10.244.1.4:,10.244.2.2:
- Session Affinity: None
- External Traffic Policy: Cluster
- Events: <none>
- #查看服务状态
- [root@node106 ~]# kubectl get service
- NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
- example-service NodePort 10.108.73.249 <none> :/TCP 91s
- kubernetes ClusterIP 10.96.0.1 <none> /TCP 44h
- [root@node106 ~]#
- #查看pod
- 应用的配置和当前状态信息保存在 etcd 中,执行 kubectl get pod 时 API Server 会从 etcd 中读取这些数据。
- [root@node106 ~]# kubectl get pods
- NAME READY STATUS RESTARTS AGE
- curl-6bf6db5c4f-dn65h / Running 39h
- nginx-5c47ff5dd6-hjxq8 / Running 3m10s
- nginx-5c47ff5dd6-qj9k2 / Running 3m10s
(3)访问服务IP
- [root@node106 ~]# curl 10.108.73.249:
- <!DOCTYPE html>
- <html>
- <head>
- <title>Welcome to nginx!</title>
- <style>
- body {
- width: 35em;
- margin: auto;
- font-family: Tahoma, Verdana, Arial, sans-serif;
- }
- </style>
- </head>
- <body>
- <h1>Welcome to nginx!</h1>
- <p>If you see this page, the nginx web server is successfully installed and
- working. Further configuration is required.</p>
- <p>For online documentation and support please refer to
- <a href="http://nginx.org/">nginx.org</a>.<br/>
- Commercial support is available at
- <a href="http://nginx.com/">nginx.com</a>.</p>
- <p><em>Thank you for using nginx.</em></p>
- </body>
- </html>
访问endpoint,与访问服务ip结果相同。这些IP只能在 Kubernetes Cluster中的容器和节点访问。endpoint与service 之间有映射关系。service实际上是负载均衡着后端的endpoint。其原理是通过iptables实现的
- [root@node106 ~]# curl 10.244.1.4:
- [root@node106 ~]# curl 10.244.2.2:
访问节点ip,与访问集群ip相同,可以在集群外部访问
- [root@node106 ~]# curl 192.168.118.107:
- [root@node106 ~]# curl 192.168.118.108:
整个部署过程是这样的:
① kubectl 发送部署请求到 API Server。
② API Server 通知 Controller Manager 创建一个 deployment 资源。
③ Scheduler 执行调度任务,将两个副本 Pod 分发到 node01 和 node02。
④ node01 和 node02 上的kubelet 在各自的节点上创建并运行 Pod。
flannel 会为每个 Pod 都分配 IP。
参考:
yum安装Kubernetes
二进制安装Kubernetes
kubeadm安装Kubernetes
手把手教你在CentOS上搭建Kubernetes集群
官网Installing kubeadm
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