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

Question

我正在尝试让 OpenTelemetry 导出器与 OpenTelemetry 收集器一起工作。

我找到了这个 OpenTelemetry collector demo。

所以我复制了这四个配置文件

docker-compose.yml（在我的应用程序中，我删除了我目前遇到问题的生成器部分和普罗米修斯运行）
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：

我想出了我的版本（抱歉有点久，由于缺少文档，很难设置最低工作版本）：

.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

酒店代理-config.yaml

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]

otel-collector-config.yaml

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]

运行docker-compose up -d后，可以打开Jaeger(http://localhost:16686)和ZipkinUI(http://localhost:9411)

我的 ConsoleSpanExporter 可以在网络客户端和 Express.js 服务器上运行。

但是，我在客户端和服务器中都尝试了这个 OpenTelemetry 导出器代码，我仍然无法连接 OpenTelemetry 收集器。

请在代码中查看我关于 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.
    })
  )
);

有什么想法吗？谢谢

Answer 1

您尝试的演示使用的是较旧的配置和 opencensus，应将其替换为 otlp 接收器。话虽如此，这是一个有效的例子 https://github.com/open-telemetry/opentelemetry-js/tree/master/examples/collector-exporter-node/docker 所以我从那里复制文件：

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"

collector-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]

prometheus.yaml

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']

这应该适用于 opentelemetry-js 版本。 0.10.2

跟踪的默认端口是 55680，指标的默认端口是 55681

我之前发布的 link - 你总能在那里找到最新的工作示例： https://github.com/open-telemetry/opentelemetry-js/tree/master/examples/collector-exporter-node 对于网络示例，您可以使用相同的 docker 并在此处查看所有工作示例： https://github.com/open-telemetry/opentelemetry-js/tree/master/examples/tracer-web/

Answer 2

非常感谢@BObecny 的帮助！这是@BObecny 回答的补充。

因为我对Jaeger 的集成比较感兴趣。所以这是设置所有 Jaeger、Zipkin、Prometheus 的配置。现在它适用于前端和后端。

首先前端和后端都使用相同的导出器代码：

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

new SimpleSpanProcessor(
  new CollectorTraceExporter({
    serviceName: 'my-service',
  })
)

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:
      - jaeger-all-in-one
      - zipkin-all-in-one

  # 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"

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

collector-config.yaml

receivers:
  otlp:
    protocols:
      grpc:
      http:

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

prometheus.yaml

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']

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

How to correctly use OpenTelemetry exporter with OpenTelemetry collector in client and server?

javascript

docker

zipkin

jaeger

open-telemetry