Kubernetes 中审计策略--事件处理

一、审计日志的策略

1、日志记录阶段

kube-apiserver 是负责接收及相应用户请求的一个组件,每一个请求都会有几个阶段,每个阶段都有对应的日志,当前支持的阶段有:

  • RequestReceived - apiserver 在接收到请求后且在将该请求下发之前会生成对应的审计日志。
  • ResponseStarted - 在响应 header 发送后并在响应 body 发送前生成日志。这个阶段仅为长时间运行的请求生成(例如 watch)。
  • ResponseComplete - 当响应 body 发送完并且不再发送数据。
  • Panic - 当有 panic 发生时生成。

也就是说对 apiserver 的每一个请求理论上会有三个阶段的审计日志生成。

2、日志记录级别

当前支持的日志记录级别有:

  • None - 不记录日志。
  • Metadata - 只记录 Request 的一些 metadata (例如 user, timestamp, resource, verb 等),但不记录 Request 或 Response 的body。
  • Request - 记录 Request 的 metadata 和 body。
  • RequestResponse - 最全记录方式,会记录所有的 metadata、Request 和 Response 的 body。

3、日志记录策略

在记录日志的时候尽量只记录所需要的信息,不需要的日志尽可能不记录,避免造成系统资源的浪费。

  • 一个请求不要重复记录,每个请求有三个阶段,只记录其中需要的阶段
  • 不要记录所有的资源,不要记录一个资源的所有子资源
  • 系统的请求不需要记录,kubelet、kube-proxy、kube-scheduler、kube-controller-manager 等对 kube-apiserver 的请求不需要记录
  • 对一些认证信息(secerts、configmaps、token 等)的 body 不记录

审计记录最初产生于 kube-apiserver 内部。每个请求在不同执行阶段都会生成审计事件;这些审计事件会根据特定策略 被预处理并写入后端。策略确定要记录的内容和用来存储记录的后端。 当

你可以使用 --audit-policy-file 标志将包含策略的文件传递给 kube-apiserver。 如果不设置该标志,则不记录事件。 注意 rules 字段 必须 在审计策略文件中提供。没有(0)规则的策略将被视为非法配置。

k8s 审计日志的一个示例:

{
  "kind": "EventList",
  "apiVersion": "audit.k8s.io/v1beta1",
  "Items": [
    {
      "Level": "Request",
      "AuditID": "793e7ae2-5ca7-4ad3-a632-19708d2f8265",
      "Stage": "RequestReceived",
      "RequestURI": "/api/v1/namespaces/default/pods/test-pre-sf-de7cc-0",
      "Verb": "get",
      "User": {
        "Username": "system:unsecured",
        "UID": "",
        "Groups": [
          "system:masters",
          "system:authenticated"
        ],
        "Extra": null
      },
      "ImpersonatedUser": null,
      "SourceIPs": [
        "192.168.1.11"
      ],
      "UserAgent": "kube-scheduler/v1.12.2 (linux/amd64) kubernetes/73f3294/scheduler",
      "ObjectRef": {
        "Resource": "pods",
        "Namespace": "default",
        "Name": "test-pre-sf-de7cc-0",
        "UID": "",
        "APIGroup": "",
        "APIVersion": "v1",
        "ResourceVersion": "",
        "Subresource": ""
      },
      "ResponseStatus": null,
      "RequestObject": null,
      "ResponseObject": null,
      "RequestReceivedTimestamp": "2019-01-11T06:51:43.528703Z",
      "StageTimestamp": "2019-01-11T06:51:43.528703Z",
      "Annotations": null
    }
    ]
}

二、启用审计日志

当前的审计日志支持两种收集方式:保存为日志文件和调用自定义的 webhook,在 v1.13 中还支持动态的 webhook。

1、将审计日志以 json 格式保存到本地文件

apiserver 配置文件的 KUBE_API_ARGS 中需要添加如下参数:

--audit-policy-file=/etc/kubernetes/audit-policy.yaml --audit-log-path=/var/log/kube-audit --audit-log-format=json

日志保存到本地后再通过 fluentd 等其他组件进行收集。
还有其他几个选项可以指定保留审计日志文件的最大天数、文件的最大数量、文件的大小等。

2、将审计日志打到后端指定的 webhook

--audit-policy-file=/etc/kubernetes/audit-policy.yaml --audit-webhook-config-file=/etc/kubernetes/audit-webhook-kubeconfig

webhook 配置文件实际上是一个 kubeconfig,apiserver 会将审计日志发送 到指定的 webhook 后,webhook 接收到日志后可以再分发到 kafka 或其他组件进行收集。

 audit-webhook-kubeconfig 示例:
apiVersion: v1
clusters:
- cluster:
    server: http://127.0.0.1:8081/audit/webhook
  name: metric
contexts:
- context:
    cluster: metric
    user: ""
  name: default-context
current-context: default-context
kind: Config
preferences: {}
users: []

前面提到过,apiserver 的每一个请求会记录三个阶段的审计日志,但是在实际中并不是需要所有的审计日志,官方也说明了启用审计日志会增加 apiserver 对内存的使用量。

audit-policy.yaml 配置示例:

apiVersion: audit.k8s.io/v1 # This is required.
kind: Policy
# Don't generate audit events for all requests in RequestReceived stage.
omitStages:
  - "RequestReceived"
rules:
  # Log pod changes at RequestResponse level
  - level: RequestResponse
    resources:
    - group: ""
      # Resource "pods" doesn't match requests to any subresource of pods,
      # which is consistent with the RBAC policy.
      resources: ["pods"]
  # Log "pods/log", "pods/status" at Metadata level
  - level: Metadata
    resources:
    - group: ""
      resources: ["pods/log", "pods/status"]

  # Don't log requests to a configmap called "controller-leader"
  - level: None
    resources:
    - group: ""
      resources: ["configmaps"]
      resourceNames: ["controller-leader"]

  # Don't log watch requests by the "system:kube-proxy" on endpoints or services
  - level: None
    users: ["system:kube-proxy"]
    verbs: ["watch"]
    resources:
    - group: "" # core API group
      resources: ["endpoints", "services"]

  # Don't log authenticated requests to certain non-resource URL paths.
  - level: None
    userGroups: ["system:authenticated"]
    nonResourceURLs:
    - "/api*" # Wildcard matching.
    - "/version"

  # Log the request body of configmap changes in kube-system.
  - level: Request
    resources:
    - group: "" # core API group
      resources: ["configmaps"]
    # This rule only applies to resources in the "kube-system" namespace.
    # The empty string "" can be used to select non-namespaced resources.
    namespaces: ["kube-system"]

  # Log configmap and secret changes in all other namespaces at the Metadata level.
  - level: Metadata
    resources:
    - group: "" # core API group
      resources: ["secrets", "configmaps"]

  # Log all other resources in core and extensions at the Request level.
  - level: Request
    resources:
    - group: "" # core API group
    - group: "extensions" # Version of group should NOT be included.

  # A catch-all rule to log all other requests at the Metadata level.
  - level: Metadata
    # Long-running requests like watches that fall under this rule will not
    # generate an audit event in RequestReceived.
    omitStages:
      - "RequestReceived"

你可以使用最低限度的审计策略文件在 Metadata 级别记录所有请求:

# 在 Metadata 级别为所有请求生成日志
apiVersion: audit.k8s.io/v1beta1
kind: Policy
rules:
- level: Metadata

 kubernetes 启用了审计策略

我们可以使用 Webhooks 将审核日志发送到文件或远程 Web API。

在本文中,我们将强制 kube api-server 将审核日志发送到文件。

K8sMeetup

在 Kubernetes 中启用审计策略(对于审计日志文件)

  1. 创建审计策略 YAML 文件:前往 Kubernetes 集群,并使用以下规则创建 audit-policy.yaml:
apiVersion: audit.k8s.io/v1
kind: Policy
rules: 
  # Log the request body of configmap changes in kube-system.
  - level: Request
    resources:
    - group: "" # core API group
      resources: ["configmaps"]
    namespaces: ["kube-system"]

  # Log configmap and secret changes in all other namespaces at the Metadata level.
  - level: Metadata
    resources:
    - group: "" # core API group
      resources: ["secrets", "configmaps"]

  # A catch-all rule to log all other requests at the Metadata level.
  - level: Metadata
    omitStages:
      - "RequestReceived"

更新 kube api-server 清单文件:(kubeadm安装方式)

/etc/kubernetes/manifests/kube-apiserver.yaml
apiVersion: v1
kind: Pod
metadata:
  annotations:
    kubeadm.kubernetes.io/kube-apiserver.advertise-address.endpoint: 10.150.90.242:6443
  creationTimestamp: null
  labels:
    component: kube-apiserver
    tier: control-plane
  name: kube-apiserver
  namespace: kube-system
spec:
  containers:
  - command:
    - kube-apiserver
    - --advertise-address=10.150.11.111
    - --allow-privileged=true
    - --authorization-mode=Node,RBAC
    - --client-ca-file=/etc/kubernetes/pki/ca.crt
    - --enable-admission-plugins=NodeRestriction
    - --enable-bootstrap-token-auth=true
    - --etcd-cafile=/etc/kubernetes/pki/etcd/ca.crt
    - --etcd-certfile=/etc/kubernetes/pki/apiserver-etcd-client.crt
    - --etcd-keyfile=/etc/kubernetes/pki/apiserver-etcd-client.key
    - --etcd-servers=https://127.0.0.1:2379
    - --kubelet-client-certificate=/etc/kubernetes/pki/apiserver-kubelet-client.crt
    - --kubelet-client-key=/etc/kubernetes/pki/apiserver-kubelet-client.key
    - --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname
    - --proxy-client-cert-file=/etc/kubernetes/pki/front-proxy-client.crt
    - --proxy-client-key-file=/etc/kubernetes/pki/front-proxy-client.key
    - --requestheader-allowed-names=front-proxy-client
    - --requestheader-client-ca-file=/etc/kubernetes/pki/front-proxy-ca.crt
    - --requestheader-extra-headers-prefix=X-Remote-Extra-
    - --requestheader-group-headers=X-Remote-Group
    - --requestheader-username-headers=X-Remote-User
    - --secure-port=6443
    - --service-account-key-file=/etc/kubernetes/pki/sa.pub
    - --service-cluster-ip-range=10.96.0.0/12
    - --tls-cert-file=/etc/kubernetes/pki/apiserver.crt
    - --tls-private-key-file=/etc/kubernetes/pki/apiserver.key
    - --audit-policy-file=/etc/kubernetes/audit-policy.yaml
    - --audit-log-path=/var/log/kubernetes/audit/audit.log
    image: registry.aliyuncs.com/google_containers/kube-apiserver:v1.20.0
    imagePullPolicy: IfNotPresent
    livenessProbe:
      failureThreshold: 8
      httpGet:
        host: 10.150.90.242
        path: /healthz
        port: 6443
        scheme: HTTPS
      initialDelaySeconds: 15
      timeoutSeconds: 15
    name: kube-apiserver
    resources:
      requests:
        cpu: 250m
    volumeMounts:
    - mountPath: /etc/ssl/certs
      name: ca-certs
      readOnly: true
    - mountPath: /etc/pki
      name: etc-pki
      readOnly: true
    - mountPath: /etc/kubernetes/pki
      name: k8s-certs
      readOnly: true
    - mountPath: /etc/kubernetes/audit-policy.yaml
      name: audit
      readOnly: true
    - mountPath: /var/log/kubernetes/audit/
      name: audit-log
      readOnly: false
  hostNetwork: true
  priorityClassName: system-cluster-critical
  volumes:
  - hostPath:
      path: /etc/ssl/certs
      type: DirectoryOrCreate
    name: ca-certs
  - hostPath:
      path: /etc/pki
      type: DirectoryOrCreate
    name: etc-pki
  - hostPath:
      path: /etc/kubernetes/pki
      type: DirectoryOrCreate
    name: k8s-certs
  - name: audit
    hostPath:
      path: /etc/kubernetes/audit-policy.yaml
      type: File

  - name: audit-log
    hostPath:
      path: /var/log/kubernetes/audit/
      type: DirectoryOrCreate
status: {}

重启kube api-server 清单文件:(kubeadm安装方式)

systemctl restart kubelet

参考:

https://www.kubernetes.org.cn/1031.html

https://www.kubernetes.org.cn/1090.html

https://www.kubernetes.org.cn/1195.html

https://kubernetes.io/zh/docs/tasks/debug-application-cluster/audit/

https://kubernetes.io/zh/docs/reference/command-line-tools-reference/kube-apiserver/

https://kubernetes.io/zh/docs/reference/config-api/apiserver-audit.v1/#audit-k8s-io-v1-Event

 https://www.kubernetes.org.cn/2611.html?spm=a2c6h.12873639.0.0.616c3b5fuDXKll

https://developer.aliyun.com/article/686982

posted @ 2022-01-13 15:30  fat_girl_spring  阅读(330)  评论(0编辑  收藏  举报