n9e categraf k8s监控配置 -cadvisor

1、创建用户角色权限

bash 复制代码
vi  z-categraf-monitor-rbac.yaml
bash 复制代码
apiVersion: v1
kind: ServiceAccount
metadata:
  name: z-categraf-monitor
  namespace: z-monitor
  labels:
    app: categraf
    purpose: cadvisor-monitor
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: z-categraf-monitor-clusterrole
  labels:
    app: categraf
    purpose: cadvisor-monitor
rules:
  - nonResourceURLs:
      - "/metrics/cadvisor"
      - "/stats/summary"
      - "/pods"
      - "/nodes/proxy/metrics/cadvisor"
    verbs: ["get"]
  - apiGroups: [""]
    resources:
      - "nodes"
      - "nodes/metrics"
      - "nodes/stats"
      - "nodes/proxy"
    verbs: ["get", "list", "watch"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: z-categraf-monitor-clusterrolebinding
  labels:
    app: categraf
    purpose: cadvisor-monitor
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: z-categraf-monitor-clusterrole
subjects:
  - kind: ServiceAccount
    name: z-categraf-monitor
    namespace: z-monitor
bash 复制代码
kubectl apply -f z-categraf-monitor-rbac.yaml

2、获取token

bash 复制代码
# 提取Token
SECRET_NAME=$(kubectl get sa z-categraf-monitor -n z-monitor -o jsonpath='{.secrets[0].name}')
VALID_TOKEN=$(kubectl get secret $SECRET_NAME -n z-monitor -o jsonpath='{.data.token}' | base64 -d)

#  将Token写入文件
echo "$VALID_TOKEN" > /data/zz/z-categraf-monitor.token

3、每个节点配置 categraf/conf/input.cadvisor/cim-pord-cadvisor.toml

bash 复制代码
vi  cim-pord-cadvisor.toml
bash 复制代码
# # collect interval
interval = 15

[[instances]]
url = "https://127.0.0.1:10250"
type = "kubelet"

bearer_token_string = "eyxxxxx"
ignore_label_keys = ["id","name", "container_label*"]
insecure_skip_verify = true
use_tls = true
container_exclude = ["^POD$"]
# ignore_label_keys = ["id","name", "container_label*"]
## choose_label_keys = ["id"]

timeout = "15s"# # collect interval
 
相关推荐
jonyleek10 小时前
JVS数字底座私有化部署实践:Spring Cloud + K8S 实现文档平台开箱即用
elasticsearch·kubernetes·私有化部署·springcloud·minio·jvs企业文档·文档治理
阿里云云原生11 小时前
欢迎报名丨Alibaba Cloud AgentCore 八城巡回沙龙上海首站开启
云原生
阿里云云原生12 小时前
AgentTeams Dashboard:统一管理团队、项目与资产
云原生·agent
千桐科技12 小时前
qModel算法模型平台功能解析:从源码到 Docker 镜像,部署能自动完成哪些工作?
运维·docker·容器·qmodel
阿里云云原生12 小时前
HiRoute:Jev 模型智能路由实践
云原生
阿里云云原生13 小时前
云栖实录丨面向 AgenticOps 的开源建设:采集标准化、统一语义建模与能力评测
云原生·开源
cubestudio13 小时前
云原生分布式训练怎么调度才不浪费算力?CubeStudio 分布式训练与加速架构解析(CRD+Operator / gang 调度 / 亲和反亲和 / GPU 利用率 / 共享 GPU)
人工智能·云原生·gpu
mengge.cloud14 小时前
1019Namespace ,Contexts ,Kubernetes Pod
运维·服务器·网络·云原生·容器·kubernetes·云计算
阿里云云原生14 小时前
从单点探索到规模化运营:滔搏体育的企业级多智能体实践
云原生
flytalei15 小时前
从 Docker Compose 到 K3s:逐浪博客 MySQL 数据迁移实战与一致性验证
mysql·docker·容器