K8S学习–Kubeadm 安装 kubernetes-1-组件简介
K8S学习–Kubeadm 安装 kubernetes-2-安装部署
K8S学习–Kubeadm-3-dashboard部署和升级
K8S学习–Kubeadm-4-测试运行Nginx+Tomcat
http://docs.kubernetes.org.cn/251.html#Kubernetes架构
Kubernetes设计理念和功能其实就是一个类似Linux的分层架构,如下图所示
核心层:Kubernetes最核心的功能,对外提供API构建高层的应用,对内提供插件式应用执行环境
应用层:部署(无状态应用(无集群关系)、有状态应用(数据库主从 Rredis集群)、批处理任务、集群应用等)和路由(服务发现、DNS解析等)。有状态应用一般是跑在物理机上面
管理层:系统度量(如基础设施、容器和网络的度量),自动化(如自动扩展、动态Provision等)以及策略管理(RBAC、Quota、PSP、NetworkPolicy等)
接口层:kubectl命令行工具、客户端SDK以及集群联邦
生态系统:在接口层之上的庞大容器集群管理调度的生态系统,可以划分为两个范畴
1.Kubernetes外部:日志、监控、配置管理、CI、CD、Workflow、FaaS、OTS应用、ChatOps等
2.Kubernetes内部:CRI、CNI、CVI、镜像仓库、Cloud Provider、集群自身的配置和管理等
https://www.kubernetes.org.cn/kubernetes%e8%ae%be%e8%ae%a1%e7%90%86%e5%bf%b5
#API设计原则
所有API应该是声明式的。
•API对象是彼此互补而且可组合的。
•高层API以操作意图为基础设计。
•低层API根据高层API的控制需要设计。
•尽量避免简单封装,不要有在外部API无法显式知道的内部隐藏的机制。
•API操作复杂度与对象数量成正比。
•API对象状态不能依赖于网络连接状态。
•尽量避免让操作机制依赖于全局状态,因为在分布式系统中要保证全局状态的同步是非常困难的。
分析和理解Kubernetes的设计理念可以使我们更深入地了解Kubernetes系统,更好地利用它管理分布式部署的云原生应用,另一方面也可以让我们借鉴其在分布式系统设计方面的经验。
对于云计算系统,系统API实际上处于系统设计的统领地位,正如本文前面所说,K8s集群系统每支持一项新功能,引入一项新技术,一定会新引入对应的API对象,支持对该功能的管理操作,理解掌握的API,就好比抓住了K8s系统的牛鼻子。K8s系统API的设计有以下几条原则:
1.所有API应该是声明式的。
正如前文所说,声明式的操作,相对于命令式操作,对于重复操作的效果是稳定的,这对于容易出现数据丢失或重复的分布式环境来说是很重要的。另外,声明式操作更容易被用户使用,可以使系统向用户隐藏实现的细节,隐藏实现的细节的同时,也就保留了系统未来持续优化的可能性。此外,声明式的API,同时隐含了所有的API对象都是名词性质的,例如Service、Volume这些API都是名词,这些名词描述了用户所期望得到的一个目标分布式对象。
2.API对象是彼此互补而且可组合的。
这里面实际是鼓励API对象尽量实现面向对象设计时的要求,即“高内聚,松耦合”,对业务相关的概念有一个合适的分解,提高分解出来的对象的可重用性。事实上,K8s这种分布式系统管理平台,也是一种业务系统,只不过它的业务就是调度和管理容器服务。
3.高层API以操作意图为基础设计。
如何能够设计好API,跟如何能用面向对象的方法设计好应用系统有相通的地方,高层设计一定是从业务出发,而不是过早的从技术实现出发。因此,针对K8s的高层API设计,一定是以K8s的业务为基础出发,也就是以系统调度管理容器的操作意图为基础设计。
4.低层API根据高层API的控制需要设计。
设计实现低层API的目的,是为了被高层API使用,考虑减少冗余、提高重用性的目的,低层API的设计也要以需求为基础,要尽量抵抗受技术实现影响的诱惑。
5.尽量避免简单封装,不要有在外部API无法显式知道的内部隐藏的机制。
简单的封装,实际没有提供新的功能,反而增加了对所封装API的依赖性。内部隐藏的机制也是非常不利于系统维护的设计方式,例如PetSet和ReplicaSet,本来就是两种Pod集合,那么K8s就用不同API对象来定义它们,而不会说只用同一个ReplicaSet,内部通过特殊的算法再来区分这个ReplicaSet是有状态的还是无状态。
6.API操作复杂度与对象数量成正比。
这一条主要是从系统性能角度考虑,要保证整个系统随着系统规模的扩大,性能不会迅速变慢到无法使用,那么最低的限定就是API的操作复杂度不能超过O(N),N是对象的数量,否则系统就不具备水平伸缩性了。
**7.API对象状态不能依赖于网络连接状态。**由于众所周知,在分布式环境下,网络连接断开是经常发生的事情,因此要保证API对象状态能应对网络的不稳定,API对象的状态就不能依赖于网络连接状态。本机可以访问。但是跨主机还是得依赖网络。kubeadm默认没有暴露 二进制安装的会暴露8080 监听在127.0.0.1 只要连接到本机即可访问API
8.尽量避免让操作机制依赖于全局状态,因为在分布式系统中要保证全局状态的同步是非常困难的。
https://kubernetes.io/zh/docs/reference/kubectl/overview/
#Kubectl 命令行接口
使用以下语法 kubectl 从终端窗口运行命令:
kubectl [command] [TYPE] [NAME] [flags]
其中 command、TYPE、NAME 和 flags 分别是:
command:指定要对一个或多个资源执行的操作,例如 create、get、describe、delete。
TYPE:指定资源类型。资源类型不区分大小写,可以指定单数、复数或缩写形式。例如,以下命令输出相同的结果:
kubectl get pod
kubectl get pods
kubectl get po
root@master-1:~# kubectl get pod
NAME READY STATUS RESTARTS AGE
net-test1-5fcc69db59-jz944 1/1 Running 1 2d16h
net-test1-5fcc69db59-wzlmg 1/1 Running 2 2d16h
net-test1-5fcc69db59-xthfd 1/1 Running 2 2d16h
nginx-deployment-574b87c764-9m59f 1/1 Running 1 34h
tomcat-deployment-7cd955f48c-lthk2 1/1 Running 1 34h
root@master-1:~# kubectl get pods
NAME READY STATUS RESTARTS AGE
net-test1-5fcc69db59-jz944 1/1 Running 1 2d16h
net-test1-5fcc69db59-wzlmg 1/1 Running 2 2d16h
net-test1-5fcc69db59-xthfd 1/1 Running 2 2d16h
nginx-deployment-574b87c764-9m59f 1/1 Running 1 34h
tomcat-deployment-7cd955f48c-lthk2 1/1 Running 1 34h
root@master-1:~# kubectl get po
NAME READY STATUS RESTARTS AGE
net-test1-5fcc69db59-jz944 1/1 Running 1 2d16h
net-test1-5fcc69db59-wzlmg 1/1 Running 2 2d16h
net-test1-5fcc69db59-xthfd 1/1 Running 2 2d16h
nginx-deployment-574b87c764-9m59f 1/1 Running 1 34h
tomcat-deployment-7cd955f48c-lthk2 1/1 Running 1 34h
https://kubernetes.io/zh/docs/reference/kubectl/overview/#参考链接
root@master-1:~# kubectl get service
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kubernetes ClusterIP 192.168.0.1 <none> 443/TCP 2d19h
magedu-nginx-service NodePort 192.168.9.132 <none> 80:30004/TCP 37h
magedu-tomcat-service NodePort 192.168.14.155 <none> 80:31849/TCP 35h
root@master-1:~# kubectl describe service magedu-tomcat-service #不加最后参数则查看全部的service
Name: magedu-tomcat-service
Namespace: default
Labels: app=kaivi-tomcat-service-label
Annotations: kubectl.kubernetes.io/last-applied-configuration:
{"apiVersion":"v1","kind":"Service","metadata":
{"annotations":{},"labels":{"app":"kaivi-tomcat-service-
label"},"name":"magedu-tomcat-servi...
Selector: app=tomcat
Type: NodePort
IP: 192.168.14.155
Port: http 80/TCP
TargetPort: 8080/TCP
NodePort: http 31849/TCP
Endpoints: 10.10.4.7:8080
Session Affinity: None
External Traffic Policy: Cluster
Events: <none>
root@master-1:~# kubectl explain pod #查看某个对象的方法 层层嵌套
root@master-1:~# kubectl explain pod.apiVersion
root@master-1:~# kubectl explain deployment.spec.selector
Crete和apply的区别:
apply支持对yaml文件的多次修改和动态生效,修改完成重新执行apply -f file.yml
crete 单次创建资源 后期如果修改yml文件下想生效 那么在删除之前的资源再重新创建 而且文件创建过程需要在删除之前修改 然后再重新创建 先删再改再创建
root@master-1:~# kubectl cluster-info
Kubernetes master is running at https://172.20.10.248:6443
KubeDNS is running at https://172.20.10.248:6443/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy
To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
root@master-1:~# kubectl cordon --help
Mark node as unschedulable.
Examples:
# Mark node "foo" as unschedulable.
kubectl cordon foo
Options:
--dry-run=false: If true, only print the object that would be sent, without sending it.
-l, --selector='': Selector (label query) to filter on
Usage:
kubectl cordon NODE [options]
Use "kubectl options" for a list of global command-line options (applies to all commands).
root@master-1:~# kubectl cordon master-1 #不被调度
node/master-1 cordoned
root@master-1:~# kubectl get node
NAME STATUS ROLES AGE VERSION
master-1 Ready,SchedulingDisabled master 2d19h v1.17.4
master-2 Ready master 2d19h v1.17.4
master-3 Ready master 2d18h v1.17.4
node-1 Ready <none> 2d18h v1.17.4
node-2 Ready <none> 2d18h v1.17.4
node-3 Ready <none> 2d18h v1.17.4
root@master-1:~# kubectl uncordon master-1 #取消不被调度
node/master-1 uncordoned
root@master-1:~# kubectl get node
NAME STATUS ROLES AGE VERSION
master-1 Ready master 2d19h v1.17.4
master-2 Ready master 2d19h v1.17.4
master-3 Ready master 2d18h v1.17.4
node-1 Ready <none> 2d18h v1.17.4
node-2 Ready <none> 2d18h v1.17.4
node-3 Ready <none> 2d18h v1.17.4
root@master-1:~# kubectl drain --help #驱逐无状态服务 用于node紧急下线
Usage:
kubectl drain NODE [options]
root@master-1:~# kubectl api-resources
NAME SHORTNAMES APIGROUP NAMESPACED KIND
bindings true Binding
componentstatuses cs false ComponentStatus
configmaps cm true ConfigMap
endpoints ep true Endpoints
events ev true Event
limitranges limits true LimitRange
namespaces ns false Namespace
nodes no false Node
persistentvolumeclaims pvc true PersistentVolumeClaim
persistentvolumes pv false PersistentVolume
pods po true Pod
podtemplates true PodTemplate
replicationcontrollers rc true ReplicationController
resourcequotas quota true ResourceQuota
secrets true Secret
serviceaccounts sa true ServiceAccount
services svc true Service
mutatingwebhookconfigurations admissionregistration.k8s.io false MutatingWebhookConfiguration
validatingwebhookconfigurations admissionregistration.k8s.io false ValidatingWebhookConfiguration
customresourcedefinitions crd,crds apiextensions.k8s.io false CustomResourceDefinition
apiservices apiregistration.k8s.io false APIService
controllerrevisions apps true ControllerRevision
daemonsets ds apps true DaemonSet
deployments deploy apps true Deployment
replicasets rs apps true ReplicaSet
statefulsets sts apps true StatefulSet
tokenreviews authentication.k8s.io false TokenReview
localsubjectaccessreviews authorization.k8s.io true LocalSubjectAccessReview
selfsubjectaccessreviews authorization.k8s.io false SelfSubjectAccessReview
selfsubjectrulesreviews authorization.k8s.io false SelfSubjectRulesReview
subjectaccessreviews authorization.k8s.io false SubjectAccessReview
horizontalpodautoscalers hpa autoscaling true HorizontalPodAutoscaler
cronjobs cj batch true CronJob
jobs batch true Job
certificatesigningrequests csr certificates.k8s.io false CertificateSigningRequest
leases coordination.k8s.io true Lease
endpointslices discovery.k8s.io true EndpointSlice
events ev events.k8s.io true Event
ingresses ing extensions true Ingress
ingresses ing networking.k8s.io true Ingress
networkpolicies netpol networking.k8s.io true NetworkPolicy
runtimeclasses node.k8s.io false RuntimeClass
poddisruptionbudgets pdb policy true PodDisruptionBudget
podsecuritypolicies psp policy false PodSecurityPolicy
clusterrolebindings rbac.authorization.k8s.io false ClusterRoleBinding
clusterroles rbac.authorization.k8s.io false ClusterRole
rolebindings rbac.authorization.k8s.io true RoleBinding
roles rbac.authorization.k8s.io true Role
priorityclasses pc scheduling.k8s.io false PriorityClass
csidrivers storage.k8s.io false CSIDriver
csinodes storage.k8s.io false CSINode
storageclasses sc storage.k8s.io false StorageClass
volumeattachments storage.k8s.io false VolumeAttachment
root@master-1:~# kubectl get pod
NAME READY STATUS RESTARTS AGE
net-test1-5fcc69db59-jz944 1/1 Running 1 2d16h
net-test1-5fcc69db59-wzlmg 1/1 Running 2 2d16h
net-test1-5fcc69db59-xthfd 1/1 Running 2 2d16h
nginx-deployment-574b87c764-9m59f 1/1 Running 1 35h
tomcat-deployment-7cd955f48c-lthk2 1/1 Running 1 35h
root@master-1:~# kubectl get pod -o wide
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
net-test1-5fcc69db59-jz944 1/1 Running 1 2d16h 10.10.3.3 node-1 <none> <none>
net-test1-5fcc69db59-wzlmg 1/1 Running 2 2d16h 10.10.4.9 node-2 <none> <none>
net-test1-5fcc69db59-xthfd 1/1 Running 2 2d16h 10.10.5.8 node-3 <none> <none>
nginx-deployment-574b87c764-9m59f 1/1 Running 1 35h 10.10.5.9 node-3 <none> <none>
tomcat-deployment-7cd955f48c-lthk2 1/1 Running 1 35h 10.10.4.7 node-2 <none> <none>
对象用k8s是和什么打交道?
K8s声明式API
列举下面yum文件为例子:
apiVersion: apps/v1 #创建该对象所使用的KubernetesAPI 的版本
kind: Deployment #kind-想要创建的对象的类型
metadata: #帮助识别对象唯一性的数据,包括一个name名称、可选的namespace
name: nginx-deployment
labels:
app: nginx
spec: #定义容器的状态 可以定义多个容器 名称不能冲突
replicas: 3
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: harbor.linux39.com/baseimages/nginx:1.14.2
ports:
- containerPort: 80
---
kind: Service
apiVersion: v1
metadata:
labels:
app: kaivi-nginx-service-label
name: magedu-nginx-service
namespace: default
spec:
type: NodePort
ports:
- name: http
port: 80 #service端口 通过service端口的80转发到容器的(targetPort)pod端口80
protocol: TCP
targetPort: 80 #pod端口
nodePort: 30004 #宿主机端口 通过宿主机端口30004访问到service端口的80
selector:
app: nginx
必需字段怎么声明?
1.apiVersion-创建该对象所使用的KubernetesAPI 的版本
2.kind-想要创建的对象的类型
3.metadata-帮助识别对象唯一性的数据,包括一个name名称、可选的namespace
4.spec 定义容器的状态 可以定义多个容器 名称不能冲突
5. status(Pod创建完成后k8s自动生成status状态)
root@master-1:~# kubectl get pod
NAME READY STATUS RESTARTS AGE
net-test1-5fcc69db59-jz944 1/1 Running 1 2d18h
net-test1-5fcc69db59-wzlmg 1/1 Running 2 2d18h
net-test1-5fcc69db59-xthfd 1/1 Running 2 2d18h
nginx-deployment-574b87c764-9m59f 1/1 Running 1 36h
tomcat-deployment-7cd955f48c-lthk2 1/1 Running 1 36h
root@master-1:~# kubectl describe pod tomcat-deployment-7cd955f48c-lthk2
Name: tomcat-deployment-7cd955f48c-lthk2
Namespace: default
Priority: 0
Node: node-2/172.20.10.201
Start Time: Mon, 30 Mar 2020 22:15:46 +0800
Labels: app=tomcat
pod-template-hash=7cd955f48c
Annotations: <none>
Status: Running #状态是否runing
IP: 10.10.4.7
IPs:
IP: 10.10.4.7
Controlled By: ReplicaSet/tomcat-deployment-7cd955f48c
Containers:
tomcat:
Container ID: docker://3ad024e3fa02efb0013ea776200ad70d684ee468b76b777d2c21a5017e65c660
Image: harbor.linux39.com/baseimages/tomcat:app
Image ID: docker-pullable://harbor.linux39.com/baseimages/tomcat@sha256:de80cfab99f015db3c47ea33cab64cc4e6
5dd5d41a147fd6c9fc41fcfaeb69f1
Port: 8080/TCP
Host Port: 0/TCP
State: Running #状态是否runing
Started: Wed, 01 Apr 2020 08:32:44 +0800
Last State: Terminated
Reason: Error
Exit Code: 255
Started: Mon, 30 Mar 2020 22:19:37 +0800
Finished: Wed, 01 Apr 2020 08:26:14 +0800
Ready: True
Restart Count: 1
Environment: <none>
Mounts:
/var/run/secrets/kubernetes.io/serviceaccount from default-token-9n88d (ro)
Conditions:
Type Status #状态的查询
Initialized True
Ready True
ContainersReady True
PodScheduled True
Volumes:
default-token-9n88d:
Type: Secret (a volume populated by a Secret)
SecretName: default-token-9n88d
Optional: false
QoS Class: BestEffort
Node-Selectors: <none>
Tolerations: node.kubernetes.io/not-ready:NoExecute for 300s
node.kubernetes.io/unreachable:NoExecute for 300s
Events: <none>
需要提前创建好yaml文件,并创建好好pod运行所需要的namespace、yaml文件等资源
root@master-1:~# cd /opt/
root@master-1:/opt# mkdir file-yaml
root@master-1:/opt# cd file-yaml/
root@master-1:/opt/file-yaml# vim linux39-ns.yml
apiVersion: v1 #API版本
kind: Namespace #类型为namespac
metadata: #定义元数据
name: linux39 #namespace名称
root@master-1:/opt/file-yaml# kubectl get ns
NAME STATUS AGE
default Active 2d20h
kube-node-lease Active 2d20h
kube-public Active 2d20h
kube-system Active 2d20h
kubernetes-dashboard Active 2d16h
root@master-1:/opt/file-yaml# kubectl apply -f linux39-ns.yml
namespace/linux39 created
root@master-1:/opt/file-yaml# kubectl get ns
NAME STATUS AGE
default Active 2d20h
kube-node-lease Active 2d20h
kube-public Active 2d20h
kube-system Active 2d20h
kubernetes-dashboard Active 2d16h
linux39 Active 8s #新创建的namespace
查看linux39的namespace已经存储到etcd 但是现在还没有任何数据
http://www.bejson.com/validators/yaml_editor/#在线yaml与json编辑器
大小写敏感
使用缩进表示层级关系
缩进时不允许使用Tal键,只允许使用空格
缩进的空格数目不重要,只要相同层级的元素左侧对齐即可
使用”#” 表示注释,从这个字符一直到行尾,都会被解析器忽略
比json更适用于配置文件
yaml文件主要特性:
上下级关系
列表
键值对(也称为maps,即key:value 格式的键值对数据)
# pwd
/opt/k8s-data/yaml/linux39
# mkdir nginx-tomcat-app1 tomcat-app2
# cd nginx/
# pwd
/opt/k8s-data/yaml/linux39/nginx
# cat nginx.yaml
kind: Deployment #类型,是deployment控制器,kubectl explain Deployment
apiVersion: extensions/v1 #API版本,# kubectl explain Deployment.apiVersion 查看版本 需要保持一致
metadata: #pod的元数据信息,kubectl explain Deployment.metadata
labels: #自定义pod的标签,# kubectl explain Deployment.metadata.labels 用于做筛选serivice接口
app: linux39-nginx-deployment-label #标签名称为app值为linux39-nginx-deployment-label,后面会用到此标签
name: linux39-nginx-deployment #pod的名称
namespace: linux39 #pod的namespace,默认是defaule
spec: #定义deployment中容器的详细信息,kubectl explain Deployment.spec
replicas: 1 #创建出的pod的副本数,即多少个pod,默认值为1 根据实际生产决定 kubectl explain Deployment.spec.replicas
selector: #定义标签选择器 在新版中必须设置这个参数
matchLabels: #定义匹配的标签,必须要设置
app: linux39-nginx-selector #匹配的目标标签, 和Deployment.spec.template.app保持一致
template: #定义模板,必须定义,模板是起到描述要创建的pod的作用
metadata: #定义模板元数据
labels: #定义模板label,Deployment.spec.template.metadata.labels
app: linux39-nginx-selector #定义标签,等于Deployment.spec.selector.matchLabels 一定要保持一致
spec: #定义pod信息 在当前的pod容器定义信息
containers:#定义pod中容器列表,可以多个至少一个,pod不能动态增减容器 只能是先删除再重新创建
- name: linux39-nginx-container #容器名称 “-”表示数组 可以同时写多个 但是要平级
image: harbor.magedu.net/linux39/nginx-web1:v1 #镜像地址
#command: ["/apps/tomcat/bin/run_tomcat.sh"] #容器启动执行的命令或脚本
#imagePullPolicy: IfNotPresent #用已经有的镜像 没有再去拉取镜像
imagePullPolicy: Always #拉取镜像策略 重新拉取镜像 比较消耗带宽
ports: #定义容器端口列表
- containerPort: 80 #定义一个端口
protocol: TCP #端口协议 只有TCP和UDP
name: http #端口名称
- containerPort: 443 #定义一个端口
protocol: TCP #端口协议
name: https #端口名称
env: #配置环境变量 用于容器传递变量
- name: "password" #变量名称。必须要用引号引起来
value: "123456" #当前变量的值
- name: "age" #另一个变量名称
value: "18" #另一个变量的值
resources: #对资源的请求设置和限制设置
limits: #资源限制设置,上限 硬限制
cpu: 2 #cpu的限制,单位为core数,可以写0.5或者500m等CPU压缩值,1000毫核
memory: 2Gi #内存限制,单位可以为Mib/Gib,将用于docker run --memory参数
requests: #资源请求的设置 软限制
cpu: 1 #cpu请求数,容器启动的初始可用数量,可以写0.5或者500m等CPU压缩值
memory: 512Mi #内存请求大小,容器启动的初始可用数量,用于调度pod时候使用
---
kind: Service #类型为service K8S内部的均衡调用请求
apiVersion: v1 #service API版本, service.apiVersion
metadata: #定义service元数据,service.metadata
labels: #自定义标签,service.metadata.labels 用于K8S中的HPA动态扩容
app: linux39-nginx #定义service标签的内容
name: linux38-nginx-spec #定义service的名称,此名称会被DNS解析
namespace: linux39 #该service隶属于的namespaces名称,即把service创建到哪个namespace里面
spec: #定义service的详细信息,service.spec
type: NodePort #service的类型,定义服务的访问方式,默认为ClusterIP, service.spec.type
ports: #定义访问端口, service.spec.ports
- name: http #定义一个端口名称
port: 80 #service 80端口
protocol: TCP #协议类型
targetPort: 80 #目标pod的端口
nodePort: 30001 #node节点暴露的端口
- name: https #SSL 端口
port: 443 #service 443端口
protocol: TCP #端口协议
targetPort: 443 #目标pod端口
nodePort: 30043 #node节点暴露的SSL端口
selector: #service的标签选择器,定义要访问的目标pod
app: linux39-nginx #将流量路到选择的pod上,须等于Deployment.spec.selector.matchLabels
spec和status的区别:
spec是期望状态
status是实际状态
Pod概述:
1.pod是k8s中的最小单元
2.一个pod中可以运行一个容器,也可以运行多个容器
3.运行多个容器的话,这些容器是一起被调度的
4.Pod的生命周期是短暂的,不会自愈,是用完就销毁的实体
5.一般我们是通过Controller来创建和管理pod的
https://kubernetes.io/zh/docs/concepts/workloads/controllers/replicationcontroller/#ReplicationController
https://kubernetes.io/zh/docs/concepts/overview/working-with-objects/labels/#标签选择器
root@master-1:/opt/k8s-data/yaml/namespaces# pwd
/opt/k8s-data/yaml/namespaces
root@master-1:/opt/k8s-data/yaml/namespaces# ll
total 16
drwxr-xr-x 2 root root 4096 Apr 1 21:03 ./
drwxr-xr-x 6 root root 4096 Apr 1 20:58 ../
-rw-r--r-- 1 root root 121 Apr 1 21:00 linux39-ns.yml
-rw-r--r-- 1 root root 121 Apr 1 21:03 linux40-ns.yml
root@master-1:/opt/k8s-data/yaml/namespaces# cat linux*
apiVersion: v1 #API版本
kind: Namespace #类型为namespac
metadata: #定义元数据
name: linux39 #namespace名称
apiVersion: v1 #API版本
kind: Namespace #类型为namespac
metadata: #定义元数据
name: linux40 #namespace名称
root@master-1:/opt/k8s-data/yaml/namespaces# kubectl apply -f linux39-ns.yml
root@master-1:/opt/k8s-data/yaml/namespaces# kubectl apply -f linux40-ns.yml
root@master-1:/opt/k8s-data/yaml/namespaces# kubectl get ns
NAME STATUS AGE
default Active 3d6h
kube-node-lease Active 3d6h
kube-public Active 3d6h
kube-system Active 3d6h
kubernetes-dashboard Active 3d2h
linux39 Active 6h
linux40 Active 12s
root@master-1:/opt/k8s-data/yaml/linux39/case1# pwd
/opt/k8s-data/yaml/linux39/case1
root@master-1:/opt/k8s-data/yaml/linux39/case1# ll
total 20
drwxr-xr-x 2 root root 4096 Apr 1 21:14 ./
drwxr-xr-x 8 root root 4096 Apr 1 21:08 ../
-rw-r--r-- 1 root root 523 Apr 1 21:14 deployment.yml
-rw-r--r-- 1 root root 388 Mar 30 18:33 rc.yml
-rw-r--r-- 1 root root 459 Mar 30 18:33 rs.yml
root@master-1:/opt/k8s-data/yaml/linux39/case1# vim deployment.yml
#apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
namespace: linux39
spec:
replicas: 2
selector:
#app: ng-deploy-80 #rc
#matchLabels: #rs or deployment
# app: ng-deploy-80
matchExpressions:
- {key: app, operator: In, values: [ng-deploy-80,ng-rs-81]}
template:
metadata:
labels:
app: ng-deploy-80
spec:
containers:
- name: ng-deploy-80
image: nginx
ports:
- containerPort: 80
-
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl apply -f deployment.yml
deployment.apps/nginx-deployment created
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl get pod -n linux39
NAME READY STATUS RESTARTS AGE
nginx-deployment-6997c89dfb-8gk5t 0/1 ContainerCreating 0 15s #处于创建状态 正在拉取镜像
nginx-deployment-6997c89dfb-dvg9b 0/1 ContainerCreating 0 15s
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl get pod -n linux39
NAME READY STATUS RESTARTS AGE
nginx-deployment-6997c89dfb-8gk5t 1/1 Running 0 2m22s #已经正常运行
nginx-deployment-6997c89dfb-dvg9b 1/1 Running 0 2m22s
root@master-1:/opt/k8s-data/yaml/linux39/case1# vim rs.yml #ReplicaSet控制器
apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: ReplicaSet #ReplicaSet控制器
metadata:
name: frontend
namespace: linux39
spec:
replicas: 3
selector:
#matchLabels:
# app: ng-rs-80
matchExpressions:
- {key: app, operator: In, values: [ng-rs-80,ng-rs-81]} #正则匹配多个
template:
metadata:
labels:
app: ng-rs-80
spec:
containers:
- name: ng-rs-80
image: nginx
ports:
- containerPort: 80
先把之前的资源删除:
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl delete -f deployment.yml
deployment.apps "nginx-deployment" deleted
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl get pod -n linux39
No resources found in linux39 namespace.
用ReplicaSet创建新的资源
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl apply -f rs.yml
replicaset.apps/frontend created
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl get pod -n linux39
NAME READY STATUS RESTARTS AGE
frontend-749kw 0/1 ContainerCreating 0 6s
frontend-krjxb 0/1 ContainerCreating 0 6s
frontend-xgrcl 0/1 ContainerCreating 0 6s
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl get pod -n linux39
NAME READY STATUS RESTARTS AGE
frontend-749kw 1/1 Running 0 110s
frontend-krjxb 1/1 Running 0 110s
frontend-xgrcl 1/1 Running 0 110s
rs需要先删除之后才能再次修改 除非加一些参数选项
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl delete -f rs.yml
replicaset.apps "frontend" deleted
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl create --help
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl create -f rs.yml --save-config=true #再次创建
replicaset.apps/frontend created
root@master-1:/opt/k8s-data/yaml/linux39/case1# vim rs.yml
replicas: 2 #把副本的数量改为2个
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl apply -f rs.yml #再次创建还是依赖apply
replicaset.apps/frontend configured
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl get pod -n linux39
NAME READY STATUS RESTARTS AGE
frontend-4bhjv 1/1 Running 0 62s
frontend-r6trh 1/1 Running 0 62s
root@master-1:/opt/k8s-data/yaml/linux39/case1# vim rc.yml #ReplicationController控制器
apiVersion: v1
kind: ReplicationController
metadata:
name: ng-rc
namespace: linux39
spec:
replicas: 2
selector:
app: ng-rc-80
#app1: ng-rc-81
template:
metadata:
labels:
app: ng-rc-80
#app1: ng-rc-81
spec:
containers:
- name: ng-rc-80
image: nginx
ports:
- containerPort: 80
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl delete -f deployment.yml
deployment.apps "nginx-deployment" deleted
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl get pod -n linux39
No resources found in linux39 namespace.
用ReplicationController创建新的资源
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl apply -f rc.yml
replicationcontroller/ng-rc created
root@master-1:/opt/k8s-data/yaml/linux39/case1# kubectl get pod -n linux39
NAME READY STATUS RESTARTS AGE
ng-rc-4tp5p 1/1 Running 0 17s
ng-rc-j7tfx 1/1 Running 0 17s
Rc,Rs和Deployment
•ReplicationController:副本控制器(selector= 或者!=)(等于或者不等于)
•ReplicaSet:副本控制集,和副本控制器的区别是:对选择器的支持(selector还支持innotin)
•Deployment:比rs更高一级的控制器,除了有rs的功能之外,还有很多高级功能,,比如说最重要的:滚动升级、回滚等
https://kubernetes.io/zh/docs/concepts/workloads/controllers/deployment/
•Why:pod重启之后ip就变了,pod之间直接访问会有问题
•What:解耦了服务和应用。简化服务的调用
•How:声明一个service对象
一般常用的有两种:
•k8s集群内的service:selector指定pod,自动创建Endpoints
•k8s集群外的service:手动创建Endpoints,指定外部服务的ip,端口和协议
kube-proxy和service的关系:
kube-proxy——————> k8s-apiserver
watch
kube-proxy监听着k8s-apiserver,一旦service资源发生变化(调k8s-api修改service信息),kube-proxy就会生成对应的负载调度的调整,这样就保证service的最新状态。
kube-proxy有三种调度模型:
•userspace:k8s 1.1之前 )(淘汰)
•iptables:k8s1.10之前 (还能用)
•ipvs:k8s 1.11之后,如果没有开启ipvs,则自动降级为iptables
root@master-1:/opt/k8s-data/yaml/linux39/case2# pwd
/opt/k8s-data/yaml/linux39/case2
root@master-1:/opt/k8s-data/yaml/linux39/case2# ll
total 3916
drwxr-xr-x 2 root root 4096 Apr 1 21:11 ./
drwxr-xr-x 8 root root 4096 Apr 1 21:08 ../
-rw-r--r-- 1 root root 542 Mar 30 18:33 1-deploy_node.yml
-rw-r--r-- 1 root root 214 Mar 30 18:33 2-svc_service.yml
-rw-r--r-- 1 root root 233 Mar 30 18:33 3-svc_NodePort.yml
-rw-r--r-- 1 root root 3983872 Mar 30 18:33 busybox-online.tar.gz
-rw-r--r-- 1 root root 277 Mar 30 18:33 busybox.yaml
root@master-1:/opt/k8s-data/yaml/linux39/case2#
root@master-1:/opt/k8s-data/yaml/linux39/case2# vim 1-deploy_node.yml
root@master-1:/opt/k8s-data/yaml/linux39/case2# vim 1-deploy_node.yml
#apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
namespace: linux39
spec:
replicas: 1
selector:
#matchLabels: #rs or deployment
# app: ng-deploy3-80
matchExpressions:
- {key: app, operator: In, values: [ng-deploy-80,ng-rs-81]}
template:
metadata:
labels:
app: ng-deploy-80
spec:
containers:
- name: ng-deploy-80
image: nginx:1.17.5
ports:
- containerPort: 80
#nodeSelector:
# env: group1
root@master-1:/opt/k8s-data/yaml/linux39/case2# kubectl apply -f 1-deploy_node.yml
deployment.apps/nginx-deployment created
root@master-1:/opt/k8s-data/yaml/linux39/case2# kubectl get pod -n linux39
NAME READY STATUS RESTARTS AGE
nginx-deployment-85ff9fcf5b-b77fp 1/1 Running 0 105s
root@master-1:/opt/k8s-data/yaml/linux39/case2# pwd
/opt/k8s-data/yaml/linux39/case2
root@master-1:/opt/k8s-data/yaml/linux39/case2# vim 2-svc_service.yml
apiVersion: v1
kind: Service
metadata:
name: ng-deploy-80
namespace: linux39
spec:
ports:
- name: http
port: 80
targetPort: 80
protocol: TCP
type: ClusterIP
selector:
app: ng-deploy-80
root@master-1:/opt/k8s-data/yaml/linux39/case2# kubectl apply -f 2-svc_service.yml
service/ng-deploy-80 created
root@master-1:~# kubectl get svc -n linux39 #获取linux39的svc集群地址
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
ng-deploy-80 ClusterIP 192.168.15.201 <none> 80/TCP 3m45s
进入到pod服务器
root@master-1:/opt/k8s-data/yaml/linux39/case2# kubectl get pod
NAME READY STATUS RESTARTS AGE
net-test1-5fcc69db59-jz944 1/1 Running 1 3d6h
net-test1-5fcc69db59-wzlmg 1/1 Running 2 3d6h
net-test1-5fcc69db59-xthfd 1/1 Running 2 3d6h
nginx-deployment-574b87c764-9m59f 1/1 Running 1 2d
tomcat-deployment-7cd955f48c-lthk2 1/1 Running 1 2d
root@master-1:/opt/k8s-data/yaml/linux39/case2# kubectl exec -it net-test1-5fcc69db59-xthfd sh
/ # root@master-1:/opt/k8s-data/yaml/linux39/case2#
/ # apk add curl
fetch http://dl-cdn.alpinelinux.org/alpine/v3.11/main/x86_64/APKINDEX.tar.gz
fetch http://dl-cdn.alpinelinux.org/alpine/v3.11/community/x86_64/APKINDEX.tar.gz
(1/4) Installing ca-certificates (20191127-r1)
(2/4) Installing nghttp2-libs (1.40.0-r0)
(3/4) Installing libcurl (7.67.0-r0)
(4/4) Installing curl (7.67.0-r0)
Executing busybox-1.31.1-r9.trigger
Executing ca-certificates-20191127-r1.trigger
OK: 7 MiB in 18 packages
/ #
/ # curl 192.168.15.201 #访问svc集权地址 看是否能够联通
<!DOCTYPE html>
<html>
<head>
<title>Welcome to nginx!</title>
<style>
。。。。。。
/ #
/ # ping ng-deploy-80 #ping一下service名称 不通
ping: bad address 'ng-deploy-80'
root@master-1:/opt/k8s-data/yaml/linux39/case2# docker pull busybox
root@master-1:/opt/k8s-data/yaml/linux39/case2# docker images
busybox latest 83aa35aa1c79 3 weeks ago 1.22MB
root@master-1:/opt/k8s-data/yaml/linux39/case2# docker tag 83aa35aa1c79 harbor.linux39.com/baseimages/busybox
root@master-1:/opt/k8s-data/yaml/linux39/case2# docker push harbor.linux39.com/baseimages/busybox
root@master-1:/opt/k8s-data/yaml/linux39/case2# vim busybox.yaml
apiVersion: v1
kind: Pod
metadata:
name: busybox
namespace: linux39 #default namespace的DNS
spec:
containers:
- image: harbor.linux39.com/baseimages/busybox
command:
- sleep
- "3600"
imagePullPolicy: Always
name: busybox
restartPolicy: Always
root@master-1:/opt/k8s-data/yaml/linux39/case2# kubectl apply -f busybox.yaml
pod/busybox created
root@master-1:/opt/k8s-data/yaml/linux39/case2# kubectl get pod -n linux39
NAME READY STATUS RESTARTS AGE
busybox 1/1 Running 0 35s
nginx-deployment-85ff9fcf5b-b77fp 1/1 Running 0 25m
测试在同一个namespace中能够ping通
这里进入到busybox的pod中进行测试:进行ping之前在
root@master-1:/opt/k8s-data/yaml/linux39/case2# kubectl exec -it busybox sh -n linux39
/ #
/ # ping ng-deploy-80 #访问service名称
PING ng-deploy-80 (192.168.15.201): 56 data bytes #虽然ping不通但是能解析DNS 也说明能够访问
^C
--- ng-deploy-80 ping statistics ---
26 packets transmitted, 0 packets received, 100% packet loss
/ # wget ng-deploy-80
Connecting to ng-deploy-80 (192.168.15.201:80)
saving to 'index.html'
index.html 100% |*********************************************************************| 612 0:00:00 ETA
'index.html' saved
/ # cat index.html
<!DOCTYPE html>
<html>
<head>
<title>Welcome to nginx!</title>
<style>
结论:在同一个namespace中 可以直接通过service的名称进行访问 在yaml文件中直接指定service-name即可
可以实现微服务对外不访问
root@master-1:/opt/k8s-data/yaml/linux39/case2# vim 3-svc_NodePort.yml
apiVersion: v1
kind: Service
metadata:
name: ng-deploy-80
namespace: linux39
spec:
ports:
- name: http
port: 81
targetPort: 80 #pod中的服务端口 一定要写对
nodePort: 30012 #宿主机暴露端口
protocol: TCP
type: NodePort
selector:
app: ng-deploy-80
root@master-1:/opt/k8s-data/yaml/linux39/case2# kubectl apply -f 3-svc_NodePort.yml
service/ng-deploy-80 configured
30012这个自定义端口在K8S集群中每一个宿主机都会监听的一个端口,只要有这个端口就能通过这个端口访问到service地址进而service端口转发到内部的pod节点
#ss -tnl
容器中的文件在磁盘上是临时存放的,这给容器中运行的特殊应用程序带来一些问题。 首先,当容器崩溃时,kubelet 将重新启动容器,容器中的文件将会丢失——因为容器会以干净的状态重建。 其次,当在一个 Pod 中同时运行多个容器时,常常需要在这些容器之间共享文件。 Kubernetes 抽象出 Volume 对象来解决这两个问题。
数据和镜像解耦,以及容器间的数据共享
k8s抽象出的一个对象,用来保存数据,做存储用
常用的几种卷:
emptyDir:本地临时卷
hostPath:本地卷
nfs等:共享卷
configmap: 配置文件
https://kubernetes.io/zh/docs/concepts/storage/volumes/#emptydir # emptyDir
当Pod 被分配给节点时,首先创建emptyDir卷,并且只要该Pod 在该节点上运行,该卷就会存在。正如卷的名字所述,它最初是空的。Pod 中的容器可以读取和写入emptyDir卷中的相同文件,尽管该卷可以挂载到每个容器中的相同或不同路径上。当出于任何原因从节点中删除Pod 时,emptyDir中的数据将被永久删除。
Pod 示例
apiVersion: v1
kind: Pod
metadata:
name: test-pd
spec:
containers:
- image: k8s.gcr.io/test-webserver
name: test-container
volumeMounts:
- mountPath: /cache
name: cache-volume
volumes:
- name: cache-volume
emptyDir: {}
root@master-1:/opt/k8s-data/yaml/linux39/case3# pwd
/opt/k8s-data/yaml/linux39/case3
root@master-1:/opt/k8s-data/yaml/linux39/case3# vim deploy_empty.yml
#apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
namespace: linux39
spec:
replicas: 1
selector:
matchLabels: #rs or deployment
app: ng-deploy-80
template:
metadata:
labels:
app: ng-deploy-80
spec:
containers:
- name: ng-deploy-80
image: nginx
ports:
- containerPort: 80
volumeMounts:
- mountPath: /cache
name: cache-volume
volumes:
- name: cache-volume
emptyDir: {}
root@master-1:/opt/k8s-data/yaml/linux39/case3# kubectl apply -f deploy_empty.yml
deployment.apps/nginx-deployment created
root@master-1:/opt/k8s-data/yaml/linux39/case3# kubectl get pod -n linux39
NAME READY STATUS RESTARTS AGE
nginx-deployment-7cc86d98d5-8gbcb 1/1 Running 0 62s
root@master-1:/opt/k8s-data/yaml/linux39/case3# kubectl exec -it nginx-deployment-7cc86d98d5-8gbcb bash -n linux39
root@nginx-deployment-7cc86d98d5-8gbcb:/# cd /cache/
root@nginx-deployment-7cc86d98d5-8gbcb:/cache# echo 112233 > linux39.txt
root@nginx-deployment-7cc86d98d5-8gbcb:/cache# exit
exit
root@master-1:/opt/k8s-data/yaml/linux39/case3#
root@master-1:/opt/k8s-data/yaml/linux39/case3# kubectl get pod -n linux39 -o wide #查看创建的数据在哪一个节点 发现在node-3中
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
nginx-deployment-7cc86d98d5-8gbcb 1/1 Running 0 11m 10.10.5.19 node-3 <none> <none>
在node-3中查找数据的存储目录
root@Node-3:~# find / -name linux39.txt
/var/lib/kubelet/pods/014f1689-ca48-4f1b-b955-9381f9148dbf/volumes/kubernetes.io~empty-dir/cache-volume/linux39.txt
^C
root@Node-3:~# cat /var/lib/kubelet/pods/014f1689-ca48-4f1b-b955-9381f9148dbf/volumes/kubernetes.io~empty-dir/cache-volume/linux39.txt
112233
上面的路径是固定的。但是pod的编号ID(014f1689-ca48-4f1b-b955-9381f9148dbf)不是 这里可以用 * 进行匹配
emptyDir的数据在pod被删除的同时 数据也会被删除清空
https://kubernetes.io/zh/docs/concepts/storage/volumes/#hostpath#hostPath
hostPath 卷能将主机节点文件系统上的文件或目录挂载到您的 Pod 中。 虽然这不是大多数 Pod 需要的,但是它为一些应用程序提供了强大的逃生舱。
hostPath卷将主机节点的文件系统中的文件或目录挂载到集群中,pod删除的时候,卷不会被删除
#apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment-2
spec:
replicas: 1
selector:
matchLabels:
app: ng-deploy-80
template:
metadata:
labels:
app: ng-deploy-80
spec:
containers:
- name: ng-deploy-80
image: nginx
ports:
- containerPort: 80
volumeMounts:
- mountPath: /data/mysql
name: data-volume #和下面volumes的挂载名称要一致
volumes:
- name: data-volume #定义挂载的名称
hostPath: #指定使用什么类型 什么样子的卷
path: /data/mysql
root@master-1:/opt/k8s-data/yaml/linux39/case4# kubectl apply -f deploy_hostPath.yml
deployment.apps/nginx-deployment-2 created
root@master-1:/opt/k8s-data/yaml/linux39/case4# kubectl get pod
NAME READY STATUS RESTARTS AGE
net-test1-5fcc69db59-jz944 1/1 Running 1 4d6h
net-test1-5fcc69db59-wzlmg 1/1 Running 2 4d6h
net-test1-5fcc69db59-xthfd 1/1 Running 2 4d6h
nginx-deployment-2-7944748bc4-xpbln 1/1 Running 0 34s
nginx-deployment-574b87c764-9m59f 1/1 Running 1 3d
tomcat-deployment-7cd955f48c-lthk2 1/1 Running 1 3d
root@master-1:/opt/k8s-data/yaml/linux39/case4# kubectl get pod -o wide #查看在哪一个主机中 在node-3中
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
net-test1-5fcc69db59-jz944 1/1 Running 1 4d4h 10.10.3.3 node-1 <none> <none>
net-test1-5fcc69db59-wzlmg 1/1 Running 2 4d4h 10.10.4.9 node-2 <none> <none>
net-test1-5fcc69db59-xthfd 1/1 Running 2 4d4h 10.10.5.8 node-3 <none> <none>
nginx-deployment-2-7944748bc4-xpbln 1/1 Running 0 <invalid> 10.10.5.20 node-3 <none> <none>
nginx-deployment-574b87c764-9m59f 1/1 Running 1 2d22h 10.10.5.9 node-3 <none> <none>
tomcat-deployment-7cd955f48c-lthk2 1/1 Running 1 2d22h 10.10.4.7 node-2 <none> <none>
可以去node-3主机中查看是否自动创建了一个/data/mysql的目录
root@master-1:/opt/k8s-data/yaml/linux39/case4# kubectl exec -it nginx-deployment-2-66d68c95d9-46z6b bash
root@nginx-deployment-2-66d68c95d9-46z6b:/# cd /data/
root@nginx-deployment-2-66d68c95d9-46z6b:/data# mkdir logs
root@nginx-deployment-2-66d68c95d9-46z6b:/data# echo likai > logs/nginx.logs
root@Node-3中
root@Node-3:/data# cd mysql/
root@Node-3:/data/mysql# ll
total 12
drwxr-xr-x 3 root root 4096 Apr 2 23:10 ./
drwxr-xr-x 4 root root 4096 Apr 2 22:47 ../
drwxr-xr-x 2 root root 4096 Apr 2 23:11 logs/
root@Node-3:/data/mysql# cat logs/nginx.logs #这份文件宿主机和pod容器就一份 同修改同删除
likai
验证:在pod被删除时候,之前的数据是否被删除
root@master-1:/opt/k8s-data/yaml/linux39/case4# kubectl delete -f deploy_hostPath.yml
deployment.apps "nginx-deployment-2" deleted
root@Node-3:/data/mysql# cat logs/nginx.logs
likai
hostPath卷将主机节点的文件系统中的文件或目录挂载到集群中,pod删除的时候,卷不会被删除
nfs:
nfs 卷能将 NFS (网络文件系统) 挂载到您的 Pod 中。 不像 emptyDir 那样会在删除 Pod 的同时也会被删除,nfs 卷的内容在删除 Pod 时会被保存,卷只是被卸载掉了。 这意味着 nfs 卷可以被预先填充数据,并且这些数据可以在 Pod 之间”传递”。
•nfs卷允许将现有的NFS(网络文件系统)共享挂载到容器中。不像emptyDir,当删除Pod 时,nfs卷的内容被保留,卷仅仅是被卸载。这意味着NFS 卷可以预填充数据,并且可以在pod 之间“切换”数据。NFS 可以被多个写入者同时挂载。
警告:
在您使用 NFS 卷之前,必须运行自己的 NFS 服务器并将目标 share 导出备用。
这里实验复用HA-service1的机器:172.20.10.22
root@HA-server1:~# apt install nfs-server -y
root@HA-server1:~# mkdir /data/k8sdata -p
root@HA-server1:~# vim /etc/exports
/data/k8sdata *(rw,no_root_squash)
root@HA-server1:~# systemctl restart nfs-server.service
root@HA-server1:~# systemctl enable nfs-server.service
在node节点上面查看共享出来的挂载卷。如果看不到说明配置有问题 后面实验也挂不上
root@Node-3:~# apt install nfs-common -y
root@Node-3:~# showmount -e 172.20.10.22
Export list for 172.20.10.22:
/data/k8sdata *
在node节点的宿主机挂载:
root@Node-3:~# mount -t nfs 172.20.10.22:/data/k8sdata /mnt #共享文件夹挂载到/mnt目录中
实验:
root@master-1:/opt/k8s-data/yaml/linux39/case5# pwd
/opt/k8s-data/yaml/linux39/case5
root@master-1:/opt/k8s-data/yaml/linux39/case5# ll
total 16
drwxr-xr-x 2 root root 4096 Apr 2 23:54 ./
drwxr-xr-x 8 root root 4096 Apr 1 21:08 ../
-rw-r--r-- 1 root root 804 Mar 30 18:33 deploy_nfs2.yml
-rw-r--r-- 1 root root 978 Apr 2 23:54 deploy_nfs.yml
root@master-1:/opt/k8s-data/yaml/linux39/case5# vim deploy_nfs.yml
#apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
spec:
replicas: 1
selector:
matchLabels:
app: ng-deploy-80
template:
metadata:
labels:
app: ng-deploy-80
spec:
containers:
- name: ng-deploy-80
image: nginx
ports:
- containerPort: 80
volumeMounts:
- mountPath: /usr/share/nginx/html/mysite #把nfs的/data/k8sdata挂载到当前目录
name: my-nfs-volume
volumes:
- name: my-nfs-volume
nfs:
server: 172.20.10.22 #nfs服务器地址
path: /data/k8sdata
---
apiVersion: v1
kind: Service
metadata:
name: ng-deploy-80
spec:
ports:
- name: http
port: 81
targetPort: 80
nodePort: 30011 #对外暴露访问端口
protocol: TCP
type: NodePort
selector:
app: ng-deploy-80
root@master-1:/opt/k8s-data/yaml/linux39/case5# kubectl apply -f deploy_nfs.yml
deployment.apps/nginx-deployment-3 created
service/ng-deploy-80 created
root@master-1:/opt/k8s-data/yaml/linux39/case5# kubectl get pod
NAME READY STATUS RESTARTS AGE
net-test1-5fcc69db59-jz944 1/1 Running 1 4d7h
net-test1-5fcc69db59-wzlmg 1/1 Running 2 4d7h
net-test1-5fcc69db59-xthfd 1/1 Running 2 4d7h
nginx-deployment-3-587f55c665-jxjt2 1/1 Running 0 29s
nginx-deployment-574b87c764-9m59f 1/1 Running 1 3d1h
tomcat-deployment-7cd955f48c-lthk2 1/1 Running 1 3d1h
root@master-1:/opt/k8s-data/yaml/linux39/case5# kubectl exec -it nginx-deployment-3-587f55c665-jxjt2 bash
root@nginx-deployment-3-587f55c665-jxjt2:/# df -Th
Filesystem Type Size Used Avail Use% Mounted on
overlay overlay 92G 4.0G 83G 5% /
tmpfs tmpfs 64M 0 64M 0% /dev
tmpfs tmpfs 953M 0 953M 0% /sys/fs/cgroup
/dev/sda1 ext4 92G 4.0G 83G 5% /etc/hosts
shm tmpfs 64M 0 64M 0% /dev/shm
tmpfs tmpfs 953M 12K 953M 1% /run/secrets/kubernetes.io/serviceaccount
172.20.10.22:/data/k8sdata nfs4 46G 52M 44G 1% /usr/share/nginx/html/mysite
tmpfs tmpfs 953M 0 953M 0% /proc/acpi
tmpfs tmpfs 953M 0 953M 0% /proc/scsi
tmpfs tmpfs 953M 0 953M 0% /sys/firmware
root@HA-server1:/data/k8sdata# vim linux39.html
root@HA-server1:/data/k8sdata# cat linux39.html
linux39 test page
root@master-1:/opt/k8s-data/yaml/linux39/case5# vim deploy_nfs2.yml
#apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment-site2
spec:
replicas: 1
selector:
matchLabels:
app: ng-deploy-82
template:
metadata:
labels:
app: ng-deploy-82
spec:
containers:
- name: ng-deploy-82
image: nginx
ports:
- containerPort: 80
volumeMounts:
- mountPath: /usr/share/nginx/html/mysite
name: my-nfs-volume
volumes:
- name: my-nfs-volume
nfs:
server: 172.20.10.22
path: /data/k8sdata
---
apiVersion: v1
kind: Service
metadata:
name: ng-deploy-82
spec:
ports:
- name: http
port: 80
targetPort: 80
nodePort: 30032 #对外暴露访问端口
protocol: TCP
type: NodePort
selector:
app: ng-deploy-82
root@master-1:/opt/k8s-data/yaml/linux39/case5# kubectl apply -f deploy_nfs2.yml
deployment.apps/nginx-deployment-site2 created
service/ng-deploy-81 created
root@master-1:/opt/k8s-data/yaml/linux39/case5# kubectl get pod
NAME READY STATUS RESTARTS AGE
net-test1-5fcc69db59-jz944 1/1 Running 1 4d8h
net-test1-5fcc69db59-wzlmg 1/1 Running 2 4d8h
net-test1-5fcc69db59-xthfd 1/1 Running 2 4d8h
nginx-deployment-574b87c764-9m59f 1/1 Running 1 3d2h
nginx-deployment-site2-659498cf9c-8cth6 1/1 Running 0 11s
tomcat-deployment-7cd955f48c-lthk2 1/1 Running 1 3d2h
root@master-1:/opt/k8s-data/yaml/linux39/case5# kubectl exec -it nginx-deployment-site2-659498cf9c-8cth6 bash
root@nginx-deployment-site2-659498cf9c-8cth6:/# df -TH
Filesystem Type Size Used Avail Use% Mounted on
overlay overlay 98G 4.3G 89G 5% /
tmpfs tmpfs 68M 0 68M 0% /dev
tmpfs tmpfs 1.0G 0 1.0G 0% /sys/fs/cgroup
/dev/sda1 ext4 98G 4.3G 89G 5% /etc/hosts
shm tmpfs 68M 0 68M 0% /dev/shm
172.20.10.22:/data/k8sdata nfs4 49G 55M 47G 1% /usr/share/nginx/html/mysite
tmpfs tmpfs 1.0G 13k 1.0G 1% /run/secrets/kubernetes.io/serviceaccount
tmpfs tmpfs 1.0G 0 1.0G 0% /proc/acpi
tmpfs tmpfs 1.0G 0 1.0G 0% /proc/scsi
tmpfs tmpfs 1.0G 0 1.0G 0% /sys/firmware
在一个pod里面同时挂载多个NFS服务,实现pod里面有多个数据源,类似服务的多个站点数据区分
root@HA-server1:/data/k8sdata# mkdir /data/linux39
root@HA-server1:/data/k8sdata# vim /etc/exports #共享多个nfs
/data/k8sdata *(rw,no_root_squash)
/data/linux39 *(rw,no_root_squash)
root@HA-server1:/data/k8sdata# systemctl restart nfs-server.service
node节点上查看是否共享成功
root@Node-3:~# showmount -e 172.20.10.22
Export list for 172.20.10.22:
/data/linux39 *
/data/k8sdata *
#apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
spec:
replicas: 1
selector:
matchLabels:
app: ng-deploy-80
template:
metadata:
labels:
app: ng-deploy-80
spec:
containers:
- name: ng-deploy-80
image: nginx
ports:
- containerPort: 80
volumeMounts:
- mountPath: /usr/share/nginx/html/mysite #对应/data/k8sdata目录挂载
name: my-nfs-volume #区分挂载哪个nfs
- mountPath: /data/nginx/html #对应 /data/linux39目录挂载
name: linux39-nfs-volume #区分挂载哪个nfs
volumes:
- name: my-nfs-volume
nfs:
server: 172.20.10.22
path: /data/k8sdata
- name: linux39-nfs-volume
nfs:
server: 172.20.10.22
path: /data/linux39
---
apiVersion: v1
kind: Service
metadata:
name: ng-deploy-80
spec:
ports:
- name: http
port: 81
targetPort: 80
nodePort: 30016
protocol: TCP
root@master-1:/opt/k8s-data/yaml/linux39/case5# kubectl apply -f deploy_nfs.yml
deployment.apps/nginx-deployment created
service/ng-deploy-80 created
oot@master-1:/opt/k8s-data/yaml/linux39/case5# kubectl exec -it nginx-deployment-79bf555474-tvgx5 bash
root@nginx-deployment-79bf555474-tvgx5:/# df -TH
Filesystem Type Size Used Avail Use% Mounted on
overlay overlay 98G 4.2G 89G 5% /
tmpfs tmpfs 68M 0 68M 0% /dev
tmpfs tmpfs 1.0G 0 1.0G 0% /sys/fs/cgroup
/dev/sda1 ext4 98G 4.2G 89G 5% /etc/hosts
shm tmpfs 68M 0 68M 0% /dev/shm
172.20.10.22:/data/linux39 nfs4 49G 55M 47G 1% /data/nginx/html
172.20.10.22:/data/k8sdata nfs4 49G 55M 47G 1% /usr/share/nginx/html/mysite
tmpfs tmpfs 1.0G 13k 1.0G 1% /run/secrets/kubernetes.io/serviceaccount
tmpfs tmpfs 1.0G 0 1.0G 0% /proc/acpi
tmpfs tmpfs 1.0G 0 1.0G 0% /proc/scsi
tmpfs tmpfs 1.0G 0 1.0G 0% /sys/firmware
NFS服务挂载的时候,不仅仅给pod节点pod网段共享目录的权限,也要给宿主机网段权限,不然挂载报错:
授权范围得注意 而且不是用mount去挂载
或者:
root@HA-server1:/data/k8sdata# vim /etc/exports
/data/k8sdata 10.10.0.0/16 172.20.10.0/24(rw,no_root_squash) #用空格隔开
/data/linux39 10.10.0.0/16 172.20.10.0/24(rw,no_root_squash)
https://kubernetes.io/zh/docs/concepts/storage/volumes/#configmap # configmap
configmap资源提供了向 Pod 注入配置数据的方法。 ConfigMap 对象中存储的数据可以被 configMap 类型的卷引用,然后被应用到 Pod 中运行的容器化应用。
配置信息大部分放到镜像里面 如果同一些配置信息给多个pod复用 可以用configmap
root@master-1:/opt/k8s-data/yaml/linux39/case6# vim deploy_configmap.yml
apiVersion: v1
kind: ConfigMap #类型是configmap
metadata:
name: nginx-config #通过这个名称来调用
data:
default: | # default一个key的名称 下面为定义的服务内容
server {
listen 80;
server_name www.mysite.com;
index index.html;
location / {
root /data/nginx/html;
if (!-e $request_filename) {
rewrite ^/(.*) /index.html last;
}
}
}
---
#apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
spec:
replicas: 1
selector:
matchLabels:
app: ng-deploy-80
template:
metadata:
labels:
app: ng-deploy-80
spec:
containers:
- name: ng-deploy-80
image: nginx
ports:
- containerPort: 80
volumeMounts:
- mountPath: /data/nginx/html
name: nginx-static-dir
- name: nginx-config #调用nginx-config 这个的类型是 configMap
mountPath: /etc/nginx/conf.d
volumes:
- name: nginx-static-dir
hostPath:
path: /data/nginx/linux39
- name: nginx-config
configMap:
name: nginx-config
items:
- key: default #key 调用最前面的default
path: mysite.conf #挂载容器的路径 结合起来就是 /etc/nginx/conf.d/mysite.conf
---
apiVersion: v1
kind: Service
metadata:
name: ng-deploy-80
spec:
ports:
- name: http
port: 81
targetPort: 80
nodePort: 30019 #对外暴露访问端口
protocol: TCP
type: NodePort
selector:
app: ng-deploy-80
root@master-1:/opt/k8s-data/yaml/linux39/case6# kubectl apply -f deploy_configmap.yml
configmap/nginx-config created
deployment.apps/nginx-deployment created
service/ng-deploy-80 created
root@master-1:/opt/k8s-data/yaml/linux39/case6# kubectl get pod
NAME READY STATUS RESTARTS AGE
net-test1-5fcc69db59-jz944 1/1 Running 1 4d16h
net-test1-5fcc69db59-wzlmg 1/1 Running 2 4d16h
net-test1-5fcc69db59-xthfd 1/1 Running 2 4d16h
nginx-deployment-8c449b55f-c5pkn 1/1 Running 0 13s
tomcat-deployment-7cd955f48c-lthk2 1/1 Running 1 3d10h
root@master-1:/opt/k8s-data/yaml/linux39/case6# kubectl get service
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kubernetes ClusterIP 192.168.0.1 <none> 443/TCP 4d18h
magedu-nginx-service NodePort 192.168.9.132 <none> 80:30004/TCP 3d12h
magedu-tomcat-service NodePort 192.168.14.155 <none> 80:31849/TCP 3d10h
ng-deploy-80 NodePort 192.168.3.122 <none> 81:30019/TCP 24s
ng-deploy-81 NodePort 192.168.9.29 <none> 80:30015/TCP 8h
root@master-1:/opt/k8s-data/yaml/linux39/case6# kubectl exec -it nginx-deployment-8c449b55f-c5pkn bash
root@nginx-deployment-8c449b55f-c5pkn:/# cat /etc/nginx/conf.d/mysite.conf #查看配置信息
server {
listen 80;
server_name www.mysite.com;
index index.html;
location / {
root /data/nginx/html;
if (!-e $request_filename) {
rewrite ^/(.*) /index.html last;
}
}
}
在node3中创建首页文件,看是否能够调用configmap
root@Node-3:~# cd /data/nginx/linux39/
root@Node-3:/data/nginx/linux39# vim index.html
root@Node-3:/data/nginx/linux39# cat index.html
configMap test page
root@Node-3:/data/nginx/linux39#
https://kubernetes.io/zh/docs/concepts/workloads/controllers/daemonset/
DaemonSet 确保全部(或者某些)节点上运行一个 Pod 的副本。当有节点加入集群时, 也会为他们新增一个 Pod 。当有节点从集群移除时,这些 Pod 也会被回收。删除 DaemonSet 将会删除它创建的所有 Pod。
DaemonSet会在当前k8s集群中的所有node创建相同的node,主要用于在所有node执行相同的操作的场景
1.日志收集
2.Prometheus
3.flannel
root@master-1:/opt/k8s-data/yaml/linux39# vim Daemonset.yml
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: fluentd-elasticsearch
namespace: kube-system
labels:
k8s-app: fluentd-logging
spec:
selector:
matchLabels:
name: fluentd-elasticsearch
template:
metadata:
labels:
name: fluentd-elasticsearch
spec:
tolerations:
# this toleration is to have the daemonset runnable on master nodes
# remove it if your masters can't run pods
- key: node-role.kubernetes.io/master
effect: NoSchedule
containers:
- name: fluentd-elasticsearch
image: quay.io/fluentd_elasticsearch/fluentd:v2.5.2
resources:
limits:
memory: 200Mi
requests:
cpu: 100m
memory: 200Mi
volumeMounts:
- name: varlog
mountPath: /var/log
- name: varlibdockercontainers
mountPath: /var/lib/docker/containers
readOnly: true
terminationGracePeriodSeconds: 30
volumes:
- name: varlog
hostPath:
path: /var/log #把/var/log挂载到pod里面
- name: varlibdockercontainers
hostPath:
path: /var/lib/docker/containers #把/var/lib/docker/containers挂载到pod里面
root@master-1:/opt/k8s-data/yaml/linux39# kubectl apply -f Daemonset.yml
daemonset.apps/fluentd-elasticsearch created
root@master-1:/opt/k8s-data/yaml/linux39# kubectl get pod -n kube-system
NAME READY STATUS RESTARTS AGE
coredns-7f9c544f75-dd7gc 1/1 Running 4 4d13h
coredns-7f9c544f75-z5pds 1/1 Running 0 4d13h
etcd-master-1 1/1 Running 26 4d19h
etcd-master-2 1/1 Running 24 4d18h
etcd-master-3 1/1 Running 20 4d18h
fluentd-elasticsearch-26jsw 0/1 ContainerCreating 0 29s #正在创建
fluentd-elasticsearch-8b2bl 0/1 ContainerCreating 0 29s
fluentd-elasticsearch-gx6c4 0/1 ContainerCreating 0 29s
fluentd-elasticsearch-hb4hc 0/1 ContainerCreating 0 29s
fluentd-elasticsearch-hpjwd 0/1 ContainerCreating 0 29s
fluentd-elasticsearch-qttwk 0/1 ContainerCreating 0 29s
可以看到集群中所有的master和所有的node节点中都创建了相同的一个pod 可以用于相同资源的获取调用。