十二 K8S细粒度权限控制

作者: 負笈在线 | 来源:发表于2022-05-18 15:05 被阅读0次

(一) RBAC

一个K8S集群并不只有管理员在使用，如果是一个开发或者一个测试，就不能有太高的权限，预防出错。此时就要通过K8S一个机制RBAC对权限经行细粒度划分，例如张三，可设置只能在namespaceA进行操作，不能在其他命名空间操作。
官网：https://kubernetes.io/zh/docs/reference/access-authn-authz/rbac/

1.4种资源

ClusterRole：可以配置一些权限，允许对整个集群做你想做的
ClusterRoleBinding：可以把ClusterRole配置的权限，授权给指定的“人”，让他可以对整个集群做他想做的
Role：只能允许对该Namespace做你想做的
RoleBinding：只能让指定的“人”对该Namespace做他想做的
Role和ClusterRole

kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  namespace: default
  name: pod-reader
rules:
- apiGroups: [""] # "" indicates the core API group
  resources: ["pods"]
  verbs: ["get", "watch", "list"]

备注
kind：定义资源类型为Role
API Version：定义该资源的API版本，建议使用v1版本，因为其它版本如beta版本在Kubernetes1.22+将被彻底启用
metadata：元数据定义
namespace：因为Role是作用单个Namespace下的，具有命名空间隔离，所以需要制定Namespace，不指定则为default
name：Role的名称
rules：定义具体的权限，切片类型，可以配置多个
API Groups：包含该资源的apiGroup名称，比如extension
resources：定义对哪些资源进行授权，切片类型，可以定义多个，比如pods、service等
verbs：定义可以执行的操作，切片类型，可以定义多个，比如create、delete、list、get、watch、deletecollection等

RoleBinding和ClusterRoleBinding

kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: read-pods
  namespace: default
subjects:
- kind: User
  name: jane # Name is case sensitive
  apiGroup: rbac.authorization.k8s.io
roleRef:
  kind: Role
  name: pod-reader
  apiGroup: rbac.authorization.k8s.io

roleRef：绑定的类别
kind：指定权限来源，可以是Role或ClusterRole
name：Role或ClusterRole的名字
apiGroup：API 组名
subjects：配置被绑定对象，可以配置多个
kind：绑定对象的类别，当前为User，还可以是Group、ServiceAccount
name：绑定对象名称

2.Role和RoleBinding的使用

Role示例：允许读取在API 组下的 “Pods”：

rules:
- apiGroups: [""]
  # 在 HTTP 层面，用来访问 Pod 的资源的名称为 "pods"
  resources: ["pods"]
  verbs: ["get", "list", "watch"]

允许读/写在 “extensions” 和 “apps” API 组中的 Deployment（在 HTTP 层面，对应 URL 中资源部分为 “deployments”）：

rules:
- apiGroups: ["extensions", "apps"]
  resources: ["deployments"]
  verbs: ["get", "list", "watch", "create", "update", "patch", "delete"]

允许读取核心 API 组中的 “pods” 和读/写 “batch” 或 “extensions” API 组中的 “jobs”：

rules:
- apiGroups: [""]
  resources: ["pods"]
  verbs: ["get", "list", "watch"]
- apiGroups: ["batch", "extensions"]
  resources: ["jobs"]
  verbs: ["get", "list", "watch", "create", "update", "patch", "delete"]

对于名称为 alice@example.com 的用户：

subjects:
- kind: User
  name: "alice@example.com"
  apiGroup: rbac.authorization.k8s.io

对于名称为 frontend-admins 的用户组：

subjects:
- kind: Group
  name: "frontend-admins"
  apiGroup: rbac.authorization.k8s.io

RoleBinding示例：对于名称为 alice@example.com 的用户：

subjects:
- kind: User
  name: "alice@example.com"
  apiGroup: rbac.authorization.k8s.io

对于任何名称空间中的 “qa” 组中所有的服务账户：

subjects:
- kind: Group
  name: system:serviceaccounts:qa
  apiGroup: rbac.authorization.k8s.io

对于所有已经过认证的用户：

subjects:
- kind: Group
  name: system:authenticated
  apiGroup: rbac.authorization.k8s.io

对于所有用户：

subjects:
- kind: Group
  name: system:authenticated
  apiGroup: rbac.authorization.k8s.io
- kind: Group
  name: system:unauthenticated
  apiGroup: rbac.authorization.k8s.io

3.ClusterRole和ClusterRoleBinding的使用

默认 ClusterRole和默认 ClusterRoleBinding 一些默认的 ClusterRole 不是以前缀 system: 开头的。这些是面向用户的角色。它们包括超级用户（Super-User）角色（cluster-admin）、使用 ClusterRoleBinding 在集群范围内完成授权的角色（cluster-status）、以及使用 RoleBinding 在特定名字空间中授予的角色（admin、edit、view）。面向用户的 ClusterRole 使用 ClusterRole 聚合以允许管理员在这些 ClusterRole 上添加用于定制资源的规则。如果想要添加规则到 admin、edit 或者 view，可以创建带有以下一个或多个标签的 ClusterRole：

4.聚合ClusterRole

假设有2个ClusterRole，ClusterRoleA和ClusterRoleB,ClusterRoleA设置了rule并打上了标签，ClusterRoleB就可以引用A的标签，ClusterRoleB就会自动补上ClusterRoleA的rule.

kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: monitoring
aggregationRule:
clusterRoleSelectors:
- matchLabels:
rbac.example.com/aggregate-to-monitoring: "true"
rules: []

kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: monitoring-endpoints
labels:
rbac.example.com/aggregate-to-monitoring: "true"  #打上标签
# These rules will be added to the "monitoring" role.
rules:
- apiGroups: [""]
resources: ["services", "endpoints", "pods"]
verbs: ["get", "list", "watch"]

示例:

[root@k8s-master01 ~]# vim a-ClusterRole.yaml
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: test-aggregation
aggregationRule:
  clusterRoleSelectors:
  - matchLabels:
      rbac.example.com/aggregate-to-test-aggregation: "true"
rules: []

[root@k8s-master01 ~]# kubectl create -f a-ClusterRole.yaml
[root@k8s-master01 ~]# kubectl get -f a-ClusterRole.yaml -oyaml | grep rule -A 3 #创建查看a-ClusterRole，发现rule是空
      f:rules: {}
    manager: kubectl-create
    operation: Update
    time: "2021-12-04T09:29:51Z"
--
rules: null

验证：创建sa，并查看sa创建的secret，获得token

[root@k8s-master01 ~]# kubectl create sa test-aggregation
serviceaccount/test-aggregation created

[root@k8s-master01 ~]# kubectl get secret
NAME                           TYPE                                  DATA   AGE
default-token-c5kj5            kubernetes.io/service-account-token   3      12d
test-aggregation-token-l6v25   kubernetes.io/service-account-token   3      3s

[root@k8s-master01 ~]# kubectl describe secret test-aggregation-token-l6v25   #查看toekn
...
Data
====
ca.crt:     1066 bytes
namespace:  7 bytes
token:      eyJhbGciOiJSUzI1NiIsImtpZCI6IlVrWjJjSlVHM09qU1laUnJpM1ZJZEVONDF3M1hRRzVkNFRKdTFjTEZXODQifQ.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.Yl92rD0KHkwSLg-Oq8meSAnVeXdHkcOjBprURSj1UFDRzj1KpBqaoPNO0zTao0FIFni2hAKxg-pG6lzPXdO2bCBRxB8rha41JYqmIEvU7UvgQXxXGr6my80f5lZHo4_AD9y0O5pJAqio4fwOqOgIk8jP7zG7me9VZNbn4ygt2mi2fSYkcNxmb2-Zj7_jzBndYP_VfgtFesaX0GHWmMeN_agsGtYlyf7cBNBebGhmmFBSx-VR-tWUhi_L6ArCC6dFKm1vcYFmDaVZQ3CZ2-Df21J0UYLwjG0tzJEk8oLD638PRTtvHCSExacbeatfO5ivoNf1_XRSEik7Tu5I9rOoaADf21J0UYLwjG0tzJEk8oLD638PRTtvHCSExacbeatfO5ivoNf1_XRSEik7Tu5I9rOoaA

创建一个名称叫test-aggregation的clusterrolebinding，把clusterrole：test-aggregation授权给SA:default命名空间下的test-aggregation

[root@k8s-master01 ~]# kubectl create clusterrolebinding test-aggregation --clusterrole=test-aggregation  --serviceaccount=default:test-aggregation
clusterrolebinding.rbac.authorization.k8s.io/test-aggregation created

登录测试,发现并没有权限，只能登录

创建b-ClusterRole，使其聚合a-ClusterRole

[root@k8s-master01 ~]# vim b-ClusterRole.yaml
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: b-aggregation
  labels:
    rbac.example.com/aggregate-to-test-aggregation: "true"   #标签，使其和a-ClusterRole一直才能聚合
# These rules will be added to the "monitoring" role.
rules:
- apiGroups: [""]
  resources: ["services", "endpoints", "pods","namespaces"]  #分配权限，加上命名空间svc等权限
  verbs: ["get", "list", "watch"]

[root@k8s-master01 ~]# kubectl create -f b-ClusterRole.yaml   #
clusterrole.rbac.authorization.k8s.io/b-aggregation created

再次验证，发现可以查看命名空间和svc等监控

(二) RBAC实践**

问题：
1.创建一个名为deployment-clusterrole的clusterrole
a)该clusterrole只允许创建Deployment、Daemonset、Statefulset的create操作
2.在名字为app-team1的namespace下创建一个名为cicd-token的serviceAccount，并且将上一步创建clusterrole的权限绑定到该serviceAccount
实操：
创建namespace和serviceAccount

[root@k8s-master01 ~]# kubectl create ns app-team1
namespace/app-team1 created
[root@k8s-master01 ~]# kubectl create sa cicd-token -n app-team1
serviceaccount/cicd-token created

创建名为deployment-clusterrole的clusterrole

[root@k8s-master01 ~]# vim dp-clusterrole.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
 # "namespace" omitted since ClusterRoles are not namespaced
 name: deployment-clusterrole
rules:
- apiGroups: ["extensions", "apps"]
 # 1.17以前要用extensions
 # at the HTTP level, the name of the resource for accessing Secret
 # objects is "secrets"
 resources: ["deployments","statefulsets","daemonsets"]
 verbs: ["create"]
 # 赋予"deployments","statefulsets","daemonsets"的创建权限
[root@k8s-master01 ~]# kubectl create -f dp-clusterrole.yaml
[root@k8s-master01 ~]# kubectl get clusterrole deployment-clusterrole -oyaml | grep rule -A 7 #查看
...
rules:
- apiGroups:
 - extensions
 - apps
 resources:
 - deployments
 - statefulsets
 - daemonsets

绑定权限并查看

[root@k8s-master01 ~]# kubectl create rolebinding deployment-rolebinding --clusterrole=deployment-clusterrole --serviceaccount=app-team1:cicd-token -n app-team1
[root@k8s-master01 ~]# kubectl get rolebindings.rbac.authorization.k8s.io -n app-team1 -oyaml #查看

编辑一份deployment模板

[root@k8s-master01 ~]# cat deployment-cicd-token.yaml 
apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx
  namespace: app-team1
spec:
  progressDeadlineSeconds: 600
  replicas: 1
  revisionHistoryLimit: 10
  selector:
    matchLabels:
      app: nginx
  strategy:
    rollingUpdate:
      maxSurge: 25%
      maxUnavailable: 25%
    type: RollingUpdate
  template:
    metadata:
      creationTimestamp: null
      labels:
        app: nginx
    spec:
      containers:
      - image: nginx
        imagePullPolicy: Always
        name: nginx
        resources: {}
        terminationMessagePath: /dev/termination-log
        terminationMessagePolicy: File
      - image: redis
        imagePullPolicy: Always
        name: redis
      restartPolicy: Always

验证：通过sa创建的secret的token登录dashboard，选择右上+,选择app-team1参试创建yaml，发下最终有权限创建。

[root@k8s-master01 ~]# kubectl get secrets -n app-team1  #查看secrets名称
NAME                     TYPE                                  DATA   AGE
cicd-token-token-kmtcd   kubernetes.io/service-account-token   3      34m
default-token-sqnjn      kubernetes.io/service-account-token   3      35m

[root@k8s-master01 ~]# kubectl describe secrets cicd-token-token-kmtcd -n app-team1  #查看token
...
Data
====
ca.crt:     1066 bytes
namespace:  9 bytes
token:      eyJhbGciOiJSUzI1NiIsImtpZCI6IlVrWjJjSlVHM09qU1laUnJpM1ZJZEVONDF3M1hRRzVkNFRKdTFjTEZXODQifQ.eyJpc3MiOiJrdWJlcm5ldGVzL3NlcnZpY2VhY2NvdW50Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9uYW1lc3BhY2UiOiJhcHAtdGVhbTEiLCJrdWJlcm5ldGVzLmlvL3NlcnZpY2VhY2NvdW50L3NlY3JldC5uYW1lIjoiY2ljZC10b2tlbi10b2tlbi1rbXRjZCIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VydmljZS1hY2NvdW50Lm5hbWUiOiJjaWNkLXRva2VuIiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9zZXJ2aWNlLWFjY291bnQudWlkIjoiOWEzMDg0MjQtZWQ2OS00MjkwLWI4MjEtY2I5YzJlODQxN2Q4Iiwic3ViIjoic3lzdGVtOnNlcnZpY2VhY2NvdW50OmFwcC10ZWFtMTpjaWNkLXRva2VuIn0.hVYAuxRu_LZkbiDCp0Fw_J8_2DpEGD2Veh9dqG9hjhHBmItEcjU2WhKfy-9iQsyD-xunBmwf4cxZEkBp3k3_r4pgoancg5Yu-rTkgnsoTqZhKB36CDwq_W1P9ZHlQ9Qj2sh3Uf2VJx9B_5CWCqKfFyONKab8AYqhdeyj7GqgZmsVU1GBULpYmGkx9GbSd5wssuCy2UG7xwV3mRdAa6QKgx5tywx7cqtKGeWn-E2IoG4VdtgMzt-MmEtUMmurgCsK4lGuaDlK3Je2nGTAAl8uHK6SUspvhQG0m4fgLrpvtIuYFXlfnWFdINZqMcY3X3mu9Y794iaUMUz4a6iKljfcdw

通过token登录dashboard

最后查看deployment，已创建

[root@k8s-master01 ~]# kubectl get deployments.apps -n app-team1 -owide  
NAME READY UP-TO-DATE AVAILABLE AGE CONTAINERS IMAGES SELECTOR
nginx 0/1 0 0 2m35s nginx,redis nginx,redis app=nginx

(三) RBAC企业实战

企业中的权限划分：

如上三图，我们可以用RBAC进行权限控制，但是在企业中有很多需求场景。正常授权，配置会非常多，这边可以把通用的权限单独给一个ClusterRole，然后再对每个用户授权（上图二）我们可以建立单独的命名空间，把SA用户专门放入里面，通用权限可以通过ClusterRoleBinding给此命名空间授权，然后此命名空间所有用户就有了通用的权限，部分单独的权限给单独的用户授权。
示例需求: 1.用户dotbalo可以查看default、kube-system下Pod的日志 2.用户dukuan可以在default下的Pod中执行命令，并且可以删除Pod
解答: 1.创建管理用户的命名空间kube-users

[root@k8s-master01 ~]# kubectl create ns kube-users
namespace/kube-users created

2.根据需求先创建2个用户dotbalo，dukuan（sa,通过Sa创建的secret的token管理节点）

[root@k8s-master01 ~]# kubectl create sa dotablo -n kube-users
serviceaccount/dotablo created
[root@k8s-master01 ~]# kubectl create sa dukuan -n kube-users
serviceaccount/dukuan created

3.根据需求总共有4中权限分别是只读命名空间，删除日志，执行pod命名，查看日志，然后创建4种权限的ClusterRole

[root@k8s-master01 ~]# vim namespace-readonly.yaml   #只读查看命名空间权限
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: namespace-readonly
rules:
- apiGroups:
  - ""
  resources:
  - namespaces
  verbs:
  - get
  - list
  - watch
- apiGroups:
  - metrics.k8s.io
  resources:
  - pods
  verbs:
  - get
  - list
  - watch

[root@k8s-master01 ~]# vim delete-pod.yaml   #删除pod的权限
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: pod-delete
rules:
- apiGroups:
  - ""
  resources:
  - pods
  verbs:
  - get
  - list
  - delete

[root@k8s-master01 ~]# vim exec-pod.yaml  #执行Pod的权限
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: pod-exec
rules:
- apiGroups:
  - ""
  resources:
  - pods
  verbs:
  - get
  - list
- apiGroups:
  - ""
  resources:
  - pods/exec
  verbs:
  - create

[root@k8s-master01 ~]# vim log-pod.yaml   #查看log日志的权限
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: pod-log
rules:
- apiGroups:
  - ""
  resources:
  - pods
  - pods/log
  verbs:
  - get
  - list
  - watch

[root@k8s-master01 ~]# kubectl create -f namespace-readonly.yaml   #创建4种ClusterRole
clusterrole.rbac.authorization.k8s.io/namespace-readonly created
[root@k8s-master01 ~]# kubectl create -f delete-pod.yaml 
clusterrole.rbac.authorization.k8s.io/pod-delete created
[root@k8s-master01 ~]# kubectl create -f log-pod.yaml 
clusterrole.rbac.authorization.k8s.io/pod-log created
[root@k8s-master01 ~]# kubectl create -f exec-pod.yaml 
clusterrole.rbac.authorization.k8s.io/pod-exec created

4.绑定全局命名空间查看权限（clusterrolebinding）

# kubectl create clusterrolebinding namespace-readonly --clusterrole=namespace-readonly --serviceaccount=system:serviceaccounts:kube-users

5.绑定用户dotbalo两个命名空间default、kube-system的查看pod日志的权限（rolebinding）

# kubectl create rolebinding dotbalo-pod-log \
--clusterrole=pod-log --serviceaccount=kube-users:dotbalo --namespace=kube-system
# kubectl create rolebinding dotbalo-pod-log \
--clusterrole=pod-log --serviceaccount=kube-users:dotbalo --namespace=default

6.绑定用户dukuan在deefault中执行pod命令权限和删除Pod权限

# kubectl create rolebinding dukuan-pod-exec \
--clusterrole=pod-exec --serviceaccount=kube-users:dukuan --namespace=default
# kubectl create rolebinding dukuan-pod-delete \
--clusterrole=pod-delete --serviceaccount=kube-users:dukuan --namespace=default

(四) Kubernetes多集群图形化管理工具Ratel

1.Kubernetes多集群图形化管理工具Ratel介绍&使用

2.图形化管理Kubernetes多租户权限

十二 K8S细粒度权限控制

(一) RBAC

1.4种资源

2.Role和RoleBinding的使用

3.ClusterRole和ClusterRoleBinding的使用

4.聚合ClusterRole

(二) RBAC实践**

(三) RBAC企业实战

(四) Kubernetes多集群图形化管理工具Ratel

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十二 K8S细粒度权限控制

(一) RBAC

1.4种资源

2.Role和RoleBinding的使用

3.ClusterRole和ClusterRoleBinding的使用

4.聚合ClusterRole

(二) RBAC实践**

(****三) RBAC企业实战

(四) Kubernetes多集群图形化管理工具Ratel

相关文章

网友评论

延伸阅读

深度阅读

栏目导航

热点阅读

云原生

(三) RBAC企业实战