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

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

我正在尝试使OpenTelemetry导出器与OpenTelemetry收集器一起使用。

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(在我的应用中,我删除了当前正在运行的问题的生成器部分和prometheus)
  • otel-agent-config.yaml
  • otel-collector-config.yaml
  • .env

到我的应用。

还基于open-telemetry / opentelemetry-js存储库中的这两个演示:

我想出了我的版本(很抱歉,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

otel-agent-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,我可以打开Jaeger(http:// localhost:16686)和Zipkin UI(http:// localhost:9411)。

我的ConsoleSpanExporter在Web客户端和Express.js服务器中均可工作。

但是,我在客户端和服务器上都尝试过此OpenTelemetry导出程序代码,但在连接OpenTelemetry收集器时仍然遇到问题。

请在代码中查看我对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',not exists.
    })
  )
);

有什么主意吗?谢谢

解决方法

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

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']

这在opentelemetry-js ver中应该可以正常工作。 0.10.2

跟踪的默认端口为55680,度量标准的默认端口为55681

我之前发布的链接-您将始终在这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/

,

非常感谢@BObecny的帮助!这是@BObecny答案的补充。

由于我对与Jaeger集成更感兴趣。因此,这是与所有Jaeger,Zipkin,Prometheus一起设置的配置。现在它既可以在前端也可以在后端使用。

首先,前端和后端都使用相同的导出程序代码:

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]

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']

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