Serverless 容器内日志采集最佳实践

    一、概述

    本文主要介绍观测云对 Serverless 容器内日志采集的最佳实践，通过观测云 CRD+DataKit Operator 注入 logfwd sidecar 的方式实现采集，方案主要特点如下：

    • 集中管理采集配置：支持监听 Kubernetes ClusterLoggingConfig CRD，并暴露匹配结果供 logfwd sidecar 轮询获取（sidecar 默认每 60 秒向 Operator 发起 HTTP 请求，logfwd 需 ≥ 1.86.0）。
    • 热更新 & 精细匹配：CRD selector（Namespace/Pod/Label/Container）随改随生效，无需重建 Workload。

    二、前置条件

    • Kubernetes 集群版本 1.16+
    • 安装 DataKit 并开启 logfwdserver 采集器，例如默认监听端口是 9533
    • DataKit service 需要开放 9533 端口，使得其他 Pod 能访问 datakit-service.datakit.svc:9533
    • DataKit-Operator v1.7.0 以及以上版本
    • 集群管理员权限（用于注册 CRD）

    三、采集流程

    1. 注册 Kubernetes CRD

    • 使用以下 YAML 注册 ClusterLoggingConfig CRD：
    apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
  name: clusterloggingconfigs.logging.datakits.io
  labels:
    app: datakit-logging-config
    version: v1alpha1
spec:
  group: logging.datakits.io
  versions:
    - name: v1alpha1
      served: true
      storage: true
      schema:
        openAPIV3Schema:
          type: object
          properties:
            apiVersion:
              type: string
            kind:
              type: string
            metadata:
              type: object
            spec:
              type: object
              required:
                - selector
              properties:
                selector:
                  type: object
                  properties:
                    namespaceRegex:
                      type: string
                    podRegex:
                      type: string
                    podLabelSelector:
                      type: string
                    containerRegex:
                      type: string
                podTargetLabels:
                  type: array
                  items:
                    type: string
                configs:
                  type: array
                  items:
                    type: object
                    required:
                      - source
                      - type
                    properties:
                      source:
                        type: string
                      type:
                        type: string
                      disable:
                        type: boolean
                      path:
                        type: string
                      multiline_match:
                        type: string
                      pipeline:
                        type: string
                      storage_index:
                        type: string
                      tags:
                        type: object
                        additionalProperties:
                          type: string
  scope: Cluster
  names:
    plural: clusterloggingconfigs
    singular: clusterloggingconfig
    kind: ClusterLoggingConfig
    shortNames:
      - logging
    • 创建 CRD 资源，自动应用采集配置
    kubectl apply -f clusterloggingconfig-crd.yaml
    • 验证 CRD 注册
    kubectl get crd clusterloggingconfigs.logging.datakits.io

    2. 安装配置 DataKit-Operator

    • 安装 DataKit-Operator v1.7.0 及以上版本，可通过命令 kubectl apply -f datakit-operator.yaml 安装最新的 datakit-operator.yaml 即可带上必要权限，或参考下列最小示例：
    apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: datakit-operator
rules:
- apiGroups: ["logging.datakits.io"]
  resources: ["clusterloggingconfigs"]
  verbs: ["get", "list", "watch"]

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: datakit-operator
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: datakit-operator
subjects:
- kind: ServiceAccount
  name: datakit-operator
  namespace: datakit

---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: datakit-operator
  namespace: datakit

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: datakit-operator
  namespace: datakit
  labels:
    app: datakit-operator
spec:
  replicas: 1  # Do not change the ReplicaSet number!
  selector:
     matchLabels:
       app: datakit-operator
  template:
    metadata:
      labels:
        app: datakit-operator
    spec:
      serviceAccountName: datakit-operator
      containers:
      - name: operator
        # other..
    • 如下图，在 DataKit-Operator 配置中设置 logfwds 数组，主要配置 namespace_selectors/label_selectors 匹配规则和 log_volume_paths 挂载目录字段，namespace_selectors 和 label_selectors 为且的关系。

    3. DataKit Deployment 部署

    • 在超级节点集群安装部署 Deployment 类型的 DataKit，主要注意资源类型，副本，logfwdserver 采集器开关，以及 Deployment 的更新策略修改，如下：
    apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: datakit
rules:
- apiGroups: ["rbac.authorization.k8s.io"]
  resources: ["clusterroles"]
  verbs: ["get", "list", "watch"]
- apiGroups: [""]
  resources: ["nodes", "nodes/stats", "nodes/metrics", "namespaces", "pods", "pods/log", "events", "services", "endpoints", "persistentvolumes", "persistentvolumeclaims", "pods/exec"]
  verbs: ["get", "list", "watch"]
- apiGroups: ["apps"]
  resources: ["deployments", "daemonsets", "statefulsets", "replicasets"]
  verbs: ["get", "list", "watch"]
- apiGroups: ["batch"]
  resources: ["jobs", "cronjobs"]
  verbs: [ "get", "list", "watch"]
- apiGroups: ["monitoring.coreos.com"]
  resources: ["podmonitors", "servicemonitors"]
  verbs: ["get", "list", "watch"]
- apiGroups: ["logging.datakits.io"]
  resources: ["clusterloggingconfigs"]
  verbs: ["get", "list", "watch"]
- apiGroups: ["metrics.k8s.io"]
  resources: ["pods", "nodes"]
  verbs: ["get", "list"]
- nonResourceURLs: ["/metrics"]
  verbs: ["get"]

---

apiVersion: v1
kind: ServiceAccount
metadata:
  name: datakit
  namespace: datakit

---

apiVersion: v1
kind: Service
metadata:
  name: datakit-service
  namespace: datakit
spec:
  selector:
    app: daemonset-datakit
  ports:
    - name: svc-http-port
      protocol: TCP # for HTTP apis and some collector(inputs) HTTP server, such as DDTrace
      port: 9529
      targetPort: http-port
    - name: svc-statsd-port
      protocol: UDP
      port: 8125
      targetPort: statsd-port
    - name: svc-otel-grpc-port
      protocol: TCP
      port: 4317
      targetPort: otel-grpc-port
    - name: svc-logfwd-port
      protocol: TCP
      port: 9533
      targetPort: logfwd-port

---

apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: datakit
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: datakit
subjects:
- kind: ServiceAccount
  name: datakit
  namespace: datakit

---

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app: daemonset-datakit
  name: datakit
  namespace: datakit
spec:
  replicas: 1
  revisionHistoryLimit: 10
  selector:
    matchLabels:
      app: daemonset-datakit
  template:
    metadata:
      labels:
        app: daemonset-datakit
    spec:
      hostNetwork: true
      dnsPolicy: ClusterFirstWithHostNet
      containers:
      - env:
        - name: POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name

        - name: ENV_K8S_NODE_IP
          valueFrom:
            fieldRef:
              apiVersion: v1
              fieldPath: status.hostIP

        - name: ENV_K8S_NODE_NAME
          valueFrom:
            fieldRef:
              apiVersion: v1
              fieldPath: spec.nodeName

        #- name: ENV_K8S_CLUSTER_NODE_NAME
        #  value: cluster_a_$(ENV_K8S_NODE_NAME)

        - name: ENV_DATAWAY
          value: https://openway.guance.com?token=tkn_3a0052c9f6d3498c8ce9ca0988fd9c82 # Fill your real Dataway server and(or) workspace token
        - name: ENV_CLUSTER_NAME_K8S
          value: lyr-test
        - name: ENV_GLOBAL_HOST_TAGS
          value: host=__datakit_hostname,host_ip=__datakit_ip
        - name: ENV_GLOBAL_ELECTION_TAGS # Default not set
          value: ""
        - name: ENV_DEFAULT_ENABLED_INPUTS
          value: statsd,dk,cpu,disk,diskio,mem,swap,system,hostobject,net,host_processes,container,kubernetesprometheus,logfwdserver,ddtrace
        - name: ENV_ENABLE_ELECTION
          value: enable
        - name: ENV_HTTP_LISTEN
          value: 0.0.0.0:9529
        - name: HOST_PROC
          value: /rootfs/proc
        - name: HOST_SYS
          value: /rootfs/sys
        - name: HOST_ETC
          value: /rootfs/etc
        - name: HOST_VAR
          value: /rootfs/var
        - name: HOST_RUN
          value: /rootfs/run
        - name: HOST_DEV
          value: /rootfs/dev
        - name: HOST_ROOT
          value: /rootfs
        image: pubrepo.guance.com/datakit/datakit:1.86.2
        imagePullPolicy: IfNotPresent
        name: datakit
        ports:
        - containerPort: 9529
          hostPort: 9529
          name: http-port
          protocol: TCP
        - containerPort: 8125
          hostPort: 8125
          name: statsd-port
          protocol: UDP
        - containerPort: 4317
          hostPort: 4317
          name: otel-grpc-port
          protocol: TCP
        - containerPort: 9533
          hostPort: 9533
          name: logfwd-port
          protocol: TCP
        resources:
          requests:
            cpu: "200m"
            memory: "128Mi"
          limits:
            cpu: "2000m"
            memory: "4Gi"
        securityContext:
          privileged: true
        volumeMounts:
        - mountPath: /usr/local/datakit/cache
          name: cache
          readOnly: false
        - mountPath: /rootfs
          name: rootfs
          mountPropagation: HostToContainer
        - mountPath: /var/run
          name: run
          mountPropagation: HostToContainer
        - mountPath: /sys/kernel/debug
          name: debugfs
        - mountPath: /var/lib/containerd/container_logs
          name: container-logs
          mountPropagation: HostToContainer
      hostIPC: true
      hostPID: true
      restartPolicy: Always
      serviceAccount: datakit
      serviceAccountName: datakit
      tolerations:
      - operator: Exists
      volumes:
      - configMap:
          name: datakit-conf
        name: datakit-conf
      # - name: hellopythond
      #   configMap:
      #     name: python-scripts
      - hostPath:
          path: /
        name: rootfs
      - hostPath:
          path: /var/run
        name: run
      - hostPath:
          path: /sys/kernel/debug
        name: debugfs
      - hostPath:
          path: /root/datakit_cache
        name: cache
      - hostPath:
          path: /var/lib/containerd/container_logs
        name: container-logs
      # # ---iploc-start
      #- emptyDir: {}
      #  name: datakit-ipdb
      # # ---iploc-end
  strategy:
    rollingUpdate:
      maxUnavailable: 1
    type: RollingUpdate
    • 安装部署执行
    kubectl apply -f datakit.yaml

    4. 创建日志 CRD 采集配置

    apiVersion: logging.datakits.io/v1alpha1
kind: ClusterLoggingConfig
metadata:
  name: demo-logs
spec:
  selector:
    namespaceRegex: "^(default)$"
    podRegex: "^(deploy.*)$"
    podLabelSelector: "app=demo"

  podTargetLabels:
    - app
    - version
    - enviroment

  configs:
    - source: "demo-file"
      type: "file"
      path: "/data/logs/server/server.log"
      tags:
        log_type: "server"
        component: "springboot-server"
    • 应用配置
    kubectl apply -f logging-config.yaml

    5. 查看日志上报（首次需重启业务）

    • 在 DataKit 容器内，通过“datakit monitor”命令查看日志上报：

    • 容器内日志如下图，数据成功上报到观测云，在观测云控制台筛选相关 source 为"demo-file"即可查看，并可以查看到 CRD 配置的相关字段展示：

    用数字化手段保障系统稳定，从这里开始！

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