免费使用4个小时Play with K8s 来部署你的第一个springBoot宠物医院的应用

 

Play with K8s ,免费使用4个小时, 但是不能外网访问,只能在网页的命令行窗口操作k8s的指令

使用说明

  WARNING!!!!

 This is a sandbox environment. Using personal credentials
 is HIGHLY! discouraged. Any consequences of doing so, are
 completely the user's responsibilites.

 You can bootstrap a cluster as follows:

 1. Initializes cluster master node: (初始化Master节点)

 kubeadm init --apiserver-advertise-address $(hostname -i) --pod-network-cidr 10.5.0.0/16
    

 2. Initialize cluster networking: (初始化集群网络)

kubectl apply -f https://raw.githubusercontent.com/cloudnativelabs/kube-router/master/daemonset/kubeadm-kuberouter.yaml


 3. (Optional) Create an nginx deployment: (创建部署)

下面是执行命令后的界面返回值

kubeadm init --apiserver-advertise-address $(hostname -i) --pod-network-cidr 10.5.0.0/16

Initializing machine ID from random generator.
I0529 12:26:04.574068     860 version.go:251] remote version is much newer: v1.24.1; falling back to: stable-1.20
[init] Using Kubernetes version: v1.20.15
[preflight] Running pre-flight checks
        [WARNING Service-Docker]: docker service is not active, please run 'systemctl start docker.service'
        [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 FileContent--proc-sys-net-bridge-bridge-nf-call-iptables]: /proc/sys/net/bridge/bridge-nf-call-iptables does not exist
        [WARNING Swap]: running with swap on is not supported. Please disable swap
[preflight] The system verification failed. Printing the output from the verification:
KERNEL_VERSION: 4.4.0-210-generic
DOCKER_VERSION: 20.10.1
OS: Linux
CGROUPS_CPU: enabled
CGROUPS_CPUACCT: enabled
CGROUPS_CPUSET: enabled
CGROUPS_DEVICES: enabled
CGROUPS_FREEZER: enabled
CGROUPS_MEMORY: enabled
CGROUPS_PIDS: enabled
CGROUPS_HUGETLB: enabled
        [WARNING SystemVerification]: this Docker version is not on the list of validated versions: 20.10.1. Latest validated version: 19.03
        [WARNING SystemVerification]: failed to parse kernel config: unable to load kernel module: "configs", output: "", err: exit status 1
[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'
[certs] Using certificateDir folder "/etc/kubernetes/pki"
[certs] Generating "ca" certificate and key
[certs] Generating "apiserver" certificate and key
[certs] apiserver serving cert is signed for DNS names [kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local node1] and IPs [10.96.0.1 192.168.0.23]
[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 "etcd/ca" certificate and key
[certs] Generating "etcd/server" certificate and key
[certs] etcd/server serving cert is signed for DNS names [localhost node1] and IPs [192.168.0.23 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [localhost node1] and IPs [192.168.0.23 127.0.0.1 ::1]
[certs] Generating "etcd/healthcheck-client" certificate and key
[certs] Generating "apiserver-etcd-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
[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] Starting the kubelet
[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 10.503349 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.20" 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 node1 as control-plane by adding the labels "node-role.kubernetes.io/master=''" and "node-role.kubernetes.io/control-plane='' (deprecated)"
[mark-control-plane] Marking the node node1 as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: 0ydxaf.43r8a0990ogp8l83
[bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles
[bootstrap-token] configured RBAC rules to allow Node Bootstrap tokens to get nodes
[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

Alternatively, if you are the root user, you can run:

  export KUBECONFIG=/etc/kubernetes/admin.conf

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 192.168.0.23:6443 --token 0ydxaf.43r8a0990ogp8l83 \
    --discovery-token-ca-cert-hash sha256:020d14f0a1797b92376c3cd4925df2e0c61eafa6f6350fba6891a84dc4c80ea1

注意上面返回值的最后一句, 这句是用来往集群里加worker节点的.(token 24小时有效)

设置网络

kubectl apply -f https://raw.githubusercontent.com/cloudnativelabs/kube-router/master/daemonset/kubeadm-kuberouter.yaml

configmap/kube-router-cfg created
daemonset.apps/kube-router created
serviceaccount/kube-router created
clusterrole.rbac.authorization.k8s.io/kube-router created
clusterrolebinding.rbac.authorization.k8s.io/kube-router created

新建一个Node, 然后运行这句, 加入集群

kubeadm join 192.168.0.23:6443 --token 0ydxaf.43r8a0990ogp8l83 \

--discovery-token-ca-cert-hash sha256:020d14f0a1797b92376c3cd4925df2e0c61eafa6f6350fba6891a84dc4c80ea1

然后在Master里查询kubectl get nodes

[node1 ~]$ kubectl get nodes

NAME    STATUS   ROLES                  AGE   VERSION

node1   Ready    control-plane,master   22m   v1.20.1

[node1 ~]$

[node1 ~]$ kubectl get nodes

NAME    STATUS   ROLES                  AGE   VERSION

node1   Ready    control-plane,master   57m   v1.20.1

node2   Ready    <none>                 34s   v1.20.1

部署宠物医院的应用(镜像已经放在dockerHub上面) 

kubectl apply -f https://raw.githubusercontent.com/spring2go/spring-petclinic-msa/master/k8s/local/gateway-svc.yml

kubectl apply -f https://raw.githubusercontent.com/spring2go/spring-petclinic-msa/master/k8s/local/customers-svc.yml

kubectl apply -f https://raw.githubusercontent.com/spring2go/spring-petclinic-msa/master/k8s/local/vets-svc.yml

kubectl apply -f https://raw.githubusercontent.com/spring2go/spring-petclinic-msa/master/k8s/local/visits-svc.yml

kubectl apply -f https://raw.githubusercontent.com/spring2go/spring-petclinic-msa/master/k8s/local/web-app.yml

查看部署成功是否成功,检查Services

node1 ~]$ k get services
NAME         TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)          AGE
customers    ClusterIP   10.111.236.10   <none>        8080/TCP         34s
gateway      NodePort    10.110.17.106   <none>        8080:31080/TCP   45s
kubernetes   ClusterIP   10.96.0.1       <none>        443/TCP          3m47s
vets         ClusterIP   10.110.47.245   <none>        8080/TCP         25s
visits       ClusterIP   10.108.141.95   <none>        8080/TCP         17s
web          ClusterIP   10.109.65.250   <none>        8080/TCP         6s

[node1 ~]$ curl http://10.110.17.106:8080
<!DOCTYPE html>

<html ng-app="petClinicApp" lang="en">