国内镜像源: registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images/
registry.cn-beijing.aliyuncs.com/kubesphereio/
一、Deployment
1.Pod是k8s中应用的最小单位
kubectl create ns hello
kubectl delete ns hello
kubectl get pod -A
kubectl run mynginx --image=nginx
# 查看default名称空间的Pod
kubectl get pod
# 描述
kubectl describe pod 你自己的Pod名字
# 删除
kubectl delete pod Pod名字
# 查看Pod的运行日志
kubectl logs Pod名字
# 每个Pod - k8s都会分配一个ip
kubectl get pod -owide
# 使用Pod的ip+pod里面运行容器的端口
curl 192.168.169.136
# 集群中的任意一个机器以及任意的应用都能通过Pod分配的ip来访问这个Pod
2.Deployment
# 清除所有Pod,比较下面两个命令有何不同效果?
kubectl run mynginx --image=nginx
kubectl create deployment mytomcat --image=tomcat:8.5.68
# 自愈能力
#多副本能力
kubectl create deployment my-dep --image=nginx --replicas=3
3.扩缩容
kubectl scale --replicas=5 deployment/my-dep
kubectl edit deployment my-dep
#修改 replicas
4.滚动更新
kubectl set image deployment/my-dep nginx=nginx:1.16.1 --record
kubectl rollout status deployment/my-dep
5.版本回退
#历史记录
kubectl rollout history deployment/my-dep
#查看某个历史详情
kubectl rollout history deployment/my-dep --revision=2
#回滚(回到上次)
kubectl rollout undo deployment/my-dep
#回滚(回到指定版本)
kubectl rollout undo deployment/my-dep --to-revision=2
二、Service
将一组 Pods 公开为网络服务的抽象方法。
ClusterIP
#暴露Deploy
kubectl expose deployment my-dep --port=8000 --target-port=80
#使用标签检索Pod
kubectl get pod -l app=my-dep
NodePort
kubectl expose deployment my-dep --port=8000 --target-port=80 --type=NodePort
三、Ingress
1.下载
wget https://raw.githubusercontent.com/kubernetes/ingress-nginx/controller-v0.47.0/deploy/static/provider/baremetal/deploy.yaml
#修改镜像
vi deploy.yaml
#将image的值改为如下值:
registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images/ingress-nginx-controller:v0.46.0
# 检查安装的结果
kubectl get pod,svc -n ingress-nginx
# 最后别忘记把svc暴露的端口要放行
2.域名访问
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: ingress-host-bar
spec:
ingressClassName: nginx
rules:
- host: "hello.atguigu.com"
http:
paths:
- pathType: Prefix
path: "/"
backend:
service:
name: hello-server
port:
number: 8000
- host: "demo.atguigu.com"
http:
paths:
- pathType: Prefix
path: "/nginx" # 把请求会转给下面的服务,下面的服务一定要能处理这个路径,不能处理就是404
backend:
service:
name: nginx-demo ## java,比如使用路径重写,去掉前缀nginx
port:
number: 8000
四、存储抽象
1.安装
#所有机器安装
yum install -y nfs-utils
2.主节点
#nfs主节点
echo "/nfs/data/ *(insecure,rw,sync,no_root_squash)" > /etc/exports
mkdir -p /nfs/data
systemctl enable rpcbind --now
systemctl enable nfs-server --now
#配置生效
exportfs -r
3.从节点
showmount -e 172.31.0.2
#执行以下命令挂载 nfs 服务器上的共享目录到本机路径 /root/nfsmount
mkdir -p /nfs/data
mount -t nfs 172.31.0.2:/nfs/data /nfs/data
# 写入一个测试文件
echo "hello nfs server" > /nfs/data/test.txt
4.pv&pvc
(1)创建pv池
#nfs主节点
mkdir -p /nfs/data/01
mkdir -p /nfs/data/02
mkdir -p /nfs/data/03
apiVersion: v1
kind: PersistentVolume
metadata:
name: pv01-10m
spec:
capacity:
storage: 10M
accessModes:
- ReadWriteMany
storageClassName: nfs
nfs:
path: /nfs/data/01
server: 172.31.0.2
---
apiVersion: v1
kind: PersistentVolume
metadata:
name: pv02-1gi
spec:
capacity:
storage: 1Gi
accessModes:
- ReadWriteMany
storageClassName: nfs
nfs:
path: /nfs/data/02
server: 172.31.0.2
---
apiVersion: v1
kind: PersistentVolume
metadata:
name: pv03-3gi
spec:
capacity:
storage: 3Gi
accessModes:
- ReadWriteMany
storageClassName: nfs
nfs:
path: /nfs/data/03
server: 172.31.0.2
(2)pvc创建与绑定
创建pvc
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
name: nginx-pvc
spec:
accessModes:
- ReadWriteMany
resources:
requests:
storage: 200Mi
storageClassName: nfs
创建pod绑定pvc
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: nginx-deploy-pvc
name: nginx-deploy-pvc
spec:
replicas: 2
selector:
matchLabels:
app: nginx-deploy-pvc
template:
metadata:
labels:
app: nginx-deploy-pvc
spec:
containers:
- image: nginx
name: nginx
volumeMounts:
- name: html
mountPath: /usr/share/nginx/html
volumes:
- name: html
persistentVolumeClaim:
claimName: nginx-pvc
5.ConfigMap
抽取应用配置,并且可以自动更新
redis示例
把之前的配置文件创建为配置集
# 创建配置,redis保存到k8s的etcd;
kubectl create cm redis-conf --from-file=redis.conf
apiVersion: v1
data: #data是所有真正的数据,key:默认是文件名 value:配置文件的内容
redis.conf: |
appendonly yes
kind: ConfigMap
metadata:
name: redis-conf
namespace: default
6.Secret
Secret 对象类型用来保存敏感信息,例如密码、OAuth 令牌和 SSH 密钥。 将这些信息放在 secret 中比放在 Pod 的定义或者 容器镜像 中来说更加安全和灵活。
kubectl create secret docker-registry zaingray-docker \
--docker-username=zaingray \
--docker-password=Network919@ \
--docker-email=1093863953@qq.com
##命令格式
kubectl create secret docker-registry regcred \
--docker-server=<你的镜像仓库服务器> \
--docker-username=<你的用户名> \
--docker-password=<你的密码> \
--docker-email=<你的邮箱地址>
apiVersion: v1
kind: Pod
metadata:
name: private-nginx
spec:
containers:
- name: mynginx
image: zaingray/mynginx:v1.0
imagePullSecrets:
- name: zaingray-docker
7.配置默认存储
配置动态供应的默认存储类
## 创建了一个存储类
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: nfs-storage
annotations:
storageclass.kubernetes.io/is-default-class: "true"
provisioner: k8s-sigs.io/nfs-subdir-external-provisioner
parameters:
archiveOnDelete: "true" ## 删除pv的时候,pv的内容是否要备份
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: nfs-client-provisioner
labels:
app: nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: default
spec:
replicas: 1
strategy:
type: Recreate
selector:
matchLabels:
app: nfs-client-provisioner
template:
metadata:
labels:
app: nfs-client-provisioner
spec:
serviceAccountName: nfs-client-provisioner
containers:
- name: nfs-client-provisioner
image: registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images/nfs-subdir-external-provisioner:v4.0.2
# resources:
# limits:
# cpu: 10m
# requests:
# cpu: 10m
volumeMounts:
- name: nfs-client-root
mountPath: /persistentvolumes
env:
- name: PROVISIONER_NAME
value: k8s-sigs.io/nfs-subdir-external-provisioner
- name: NFS_SERVER
value: 172.31.0.2 ## 指定自己nfs服务器地址
- name: NFS_PATH
value: /nfs/data ## nfs服务器共享的目录
volumes:
- name: nfs-client-root
nfs:
server: 172.31.0.2
path: /nfs/data
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: default
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: nfs-client-provisioner-runner
rules:
- apiGroups: [""]
resources: ["nodes"]
verbs: ["get", "list", "watch"]
- apiGroups: [""]
resources: ["persistentvolumes"]
verbs: ["get", "list", "watch", "create", "delete"]
- apiGroups: [""]
resources: ["persistentvolumeclaims"]
verbs: ["get", "list", "watch", "update"]
- apiGroups: ["storage.k8s.io"]
resources: ["storageclasses"]
verbs: ["get", "list", "watch"]
- apiGroups: [""]
resources: ["events"]
verbs: ["create", "update", "patch"]
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: run-nfs-client-provisioner
subjects:
- kind: ServiceAccount
name: nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: default
roleRef:
kind: ClusterRole
name: nfs-client-provisioner-runner
apiGroup: rbac.authorization.k8s.io
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: leader-locking-nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: default
rules:
- apiGroups: [""]
resources: ["endpoints"]
verbs: ["get", "list", "watch", "create", "update", "patch"]
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: leader-locking-nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: default
subjects:
- kind: ServiceAccount
name: nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: default
roleRef:
kind: Role
name: leader-locking-nfs-client-provisioner
apiGroup: rbac.authorization.k8s.io
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