如何在客户端和服务器端正确使用OpenTelemetry导出器和OpenTelemetry收集器？

Question

所以我复制了这四个配置文件

• docker-compose.html" target="_blank">yml（在我的应用程序中，我删除了generators part和prometheus，因为我目前正在运行这些程序）
• otel-agent-config.yaml
• otel-collector-config.yaml
• .env

到我的应用程序。

同样基于Open-Telemetry/OpenTelemetry-JS Repo中的这两个演示：

• Web演示中的跟踪
• 节点中的跟踪-GRPC演示

我想出了我的版本（抱歉有点长，真的很难设置一个最低工作版本，由于缺少文档）：

.env

OTELCOL_IMG=otel/opentelemetry-collector-dev:latest
OTELCOL_ARGS=

Docker-compose.yml

version: '3.7'
services:
  # Jaeger
  jaeger-all-in-one:
    image: jaegertracing/all-in-one:latest
    ports:
      - "16686:16686"
      - "14268"
      - "14250"

  # Zipkin
  zipkin-all-in-one:
    image: openzipkin/zipkin:latest
    ports:
      - "9411:9411"

  # Collector
  otel-collector:
    image: ${OTELCOL_IMG}
    command: ["--config=/etc/otel-collector-config.yaml", "${OTELCOL_ARGS}"]
    volumes:
      - ./otel-collector-config.yaml:/etc/otel-collector-config.yaml
    ports:
      - "1888:1888"   # pprof extension
      - "8888:8888"   # Prometheus metrics exposed by the collector
      - "8889:8889"   # Prometheus exporter metrics
      - "13133:13133" # health_check extension
      - "55678"       # OpenCensus receiver
      - "55680:55679" # zpages extension
    depends_on:
      - jaeger-all-in-one
      - zipkin-all-in-one

  # Agent
  otel-agent:
    image: ${OTELCOL_IMG}
    command: ["--config=/etc/otel-agent-config.yaml", "${OTELCOL_ARGS}"]
    volumes:
      - ./otel-agent-config.yaml:/etc/otel-agent-config.yaml
    ports:
      - "1777:1777"   # pprof extension
      - "8887:8888"   # Prometheus metrics exposed by the agent
      - "14268"       # Jaeger receiver
      - "55678"       # OpenCensus receiver
      - "55679:55679" # zpages extension
      - "13133"       # health_check
    depends_on:
      - otel-collector

receivers:
  opencensus:
  zipkin:
    endpoint: :9411
  jaeger:
    protocols:
      thrift_http:

exporters:
  opencensus:
    endpoint: "otel-collector:55678"
    insecure: true
  logging:
    loglevel: debug

processors:
  batch:
  queued_retry:

extensions:
  pprof:
    endpoint: :1777
  zpages:
    endpoint: :55679
  health_check:

service:
  extensions: [health_check, pprof, zpages]
  pipelines:
    traces:
      receivers: [opencensus, jaeger, zipkin]
      processors: [batch, queued_retry]
      exporters: [opencensus, logging]
    metrics:
      receivers: [opencensus]
      processors: [batch]
      exporters: [logging,opencensus]

receivers:
  opencensus:

exporters:
  prometheus:
    endpoint: "0.0.0.0:8889"
    namespace: promexample
    const_labels:
      label1: value1
  logging:

  zipkin:
    endpoint: "http://zipkin-all-in-one:9411/api/v2/spans"
    format: proto

  jaeger:
    endpoint: jaeger-all-in-one:14250
    insecure: true

processors:
  batch:
  queued_retry:

extensions:
  health_check:
  pprof:
    endpoint: :1888
  zpages:
    endpoint: :55679

service:
  extensions: [pprof, zpages, health_check]
  pipelines:
    traces:
      receivers: [opencensus]
      processors: [batch, queued_retry]
      exporters: [logging, zipkin, jaeger]
    metrics:
      receivers: [opencensus]
      processors: [batch]
      exporters: [logging]

而我的ConsolespanExporter在web客户端和Express.js服务器中都可以工作。

然而，我在客户端和服务器端都尝试了这个OpenTelemetry导出器代码，但仍然存在连接OpenTelemetry收集器的问题。

请看我关于代码内部URL的评论

import { CollectorTraceExporter } from '@opentelemetry/exporter-collector';

// ...
tracerProvider.addSpanProcessor(new SimpleSpanProcessor(new ConsoleSpanExporter()));
tracerProvider.addSpanProcessor(
  new SimpleSpanProcessor(
    new CollectorTraceExporter({
      serviceName: 'my-service',
      // url: 'http://localhost:55680/v1/trace', // Return error 404.
      // url: 'http://localhost:55681/v1/trace', // No response, not exists.
      // url: 'http://localhost:14268/v1/trace', // No response, not exists.
    })
  )
);

知道吗？谢谢

Answer 1

您尝试的演示使用的是旧的配置和opencensus，应该用otlp接收器替换。说到这里，这是一个工作示例https://github.com/open-telemetry/opentelemetry-js/tree/master/examples/collector-exporter-node/docker，所以我要从这里复制文件：

Docker-compose.yaml

version: "3"
services:
  # Collector
  collector:
    image: otel/opentelemetry-collector:latest
    command: ["--config=/conf/collector-config.yaml", "--log-level=DEBUG"]
    volumes:
      - ./collector-config.yaml:/conf/collector-config.yaml
    ports:
      - "9464:9464"
      - "55680:55680"
      - "55681:55681"
    depends_on:
      - zipkin-all-in-one

  # Zipkin
  zipkin-all-in-one:
    image: openzipkin/zipkin:latest
    ports:
      - "9411:9411"

  # Prometheus
  prometheus:
    container_name: prometheus
    image: prom/prometheus:latest
    volumes:
      - ./prometheus.yaml:/etc/prometheus/prometheus.yml
    ports:
      - "9090:9090"

收集器-config.yaml

receivers:
  otlp:
    protocols:
      grpc:
      http:

exporters:
  zipkin:
    endpoint: "http://zipkin-all-in-one:9411/api/v2/spans"
  prometheus:
    endpoint: "0.0.0.0:9464"

processors:
  batch:
  queued_retry:

service:
  pipelines:
    traces:
      receivers: [otlp]
      exporters: [zipkin]
      processors: [batch, queued_retry]
    metrics:
      receivers: [otlp]
      exporters: [prometheus]
      processors: [batch, queued_retry]

普罗米修斯

global:
  scrape_interval: 15s # Default is every 1 minute.

scrape_configs:
  - job_name: 'collector'
    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.
    static_configs:
      - targets: ['collector:9464']

这在opentelemetry-js Ver中应该可以很好地工作。0.10.2

跟踪的默认端口为55680，度量的默认端口为55681