第 7 章 转发遥测数据

流程

1. 为 OpenTelemetry Collector 创建服务帐户。

   ServiceAccount 示例

   apiVersion: v1
   kind: ServiceAccount
   metadata:
     name: otel-collector-deployment

2. 为服务帐户创建集群角色。

   ClusterRole 示例

   apiVersion: rbac.authorization.k8s.io/v1
   kind: ClusterRole
   metadata:
     name: otel-collector
   rules:
   - apiGroups: [""]
     resources: ["pods", "namespaces",]
     verbs: ["get", "watch", "list"] 1
   - apiGroups: ["apps"]
     resources: ["replicasets"]
     verbs: ["get", "watch", "list"] 2
   - apiGroups: ["config.openshift.io"]
     resources: ["infrastructures", "infrastructures/status"]
     verbs: ["get", "watch", "list"] 3

   1

   本例使用 Kubernetes Attributes Processor，这需要 pod 和命名空间 资源的这些权限。

   2

   另外，由于 Kubernetes Attributes Processor，replicasets 资源还需要这些权限。

   3

   本例也使用 Resource Detection Processor，这需要基础架构和 状态 资源的这些权限。

3. 将集群角色绑定到服务帐户。

   ClusterRoleBinding 示例

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

4. 创建 YAML 文件以定义 OpenTelemetryCollector 自定义资源(CR)。

   OpenTelemetryCollector 示例

   apiVersion: opentelemetry.io/v1beta1
   kind: OpenTelemetryCollector
   metadata:
     name: otel
   spec:
     mode: deployment
     serviceAccount: otel-collector-deployment
     config:
       receivers:
         jaeger:
           protocols:
             grpc: {}
             thrift_binary: {}
             thrift_compact: {}
             thrift_http: {}
         opencensus: {}
         otlp:
           protocols:
             grpc: {}
             http: {}
         zipkin: {}
       processors:
         batch: {}
         k8sattributes: {}
         memory_limiter:
           check_interval: 1s
           limit_percentage: 50
           spike_limit_percentage: 30
         resourcedetection:
           detectors: [openshift]
       exporters:
         otlp:
           endpoint: "tempo-simplest-distributor:4317" 1
           tls:
             insecure: true
       service:
         pipelines:
           traces:
             receivers: [jaeger, opencensus, otlp, zipkin] 2
             processors: [memory_limiter, k8sattributes, resourcedetection, batch]
             exporters: [otlp]

   1

   Collector exporter 配置为导出 OTLP 并指向 Tempo 经销商端点 "tempo-simplest-distributor:4317" （在这个示例中已创建）。

   2

   Collector 使用 Jaeger trace 的接收器配置，OpenCensus 跟踪通过 OpenCensus 协议、Zipkin 跟踪在 Zipkin 协议上，并通过 gRPC 协议进行 OTLP 跟踪。