Prometheus（在 Docker 容器中）无法在主机上抓取目标

Prometheus 在 docker 容器内运行（版本 18.09.2，内部版本 6247962, docker-compose.xml如下）并且抓取目标已打开localhost:8000它是由 Python 3 脚本创建的。

失败的抓取目标获得的错误（localhost:9090/targets) is

Get http://127.0.0.1:8000/metrics http://127.0.0.1:8000/metrics：拨打 tcp 127.0.0.1:8000: getsockopt: 连接被拒绝

问题：为什么docker容器中的Prometheus无法抓取主机（Mac OS X）上运行的目标？我们如何让在 docker 容器中运行的 Prometheus 能够抓取主机上运行的目标？

失败的尝试：尝试更换docker-compose.yml

networks: 
  - back-tier
  - front-tier

with

network_mode: "host"

但是我们无法访问 Prometheus 管理页面localhost:9090.

无法从类似问题中找到解决方案

• 收到错误“获取 http://localhost:9443/metrics: 拨打 tcp 127.0.0.1:9443: 连接: 连接被拒绝” https://stackoverflow.com/questions/54397463/getting-error-get-http-localhost9443-metrics-dial-tcp-127-0-0-19443-conne

docker-compose.yml

version: '3.3'

networks:
  front-tier:
  back-tier:

services:

  prometheus:
    image: prom/prometheus:v2.1.0
    volumes:
      - ./prometheus/prometheus:/etc/prometheus/
      - ./prometheus/prometheus_data:/prometheus
    command:
      - '--config.file=/etc/prometheus/prometheus.yml'
      - '--storage.tsdb.path=/prometheus'
      - '--web.console.libraries=/usr/share/prometheus/console_libraries'
      - '--web.console.templates=/usr/share/prometheus/consoles'
    ports:
      - 9090:9090
    networks:
      - back-tier
    restart: always


  grafana:
    image: grafana/grafana
    user: "104"
    depends_on:
      - prometheus
    ports:
      - 3000:3000
    volumes:
      - ./grafana/grafana_data:/var/lib/grafana
      - ./grafana/provisioning/:/etc/grafana/provisioning/
    env_file:
      - ./grafana/config.monitoring
    networks:
      - back-tier
      - front-tier
    restart: always

普罗米修斯.yml

global:
scrape_interval:     15s 
evaluation_interval: 15s 

external_labels:
    monitor: 'my-project'

- job_name: 'prometheus'

    scrape_interval: 5s

    static_configs:
        - targets: ['localhost:9090']


- job_name: 'rigs-portal'

    scrape_interval: 5s

    static_configs:
        - targets: ['127.0.0.1:8000']

输出为http://localhost:8000/metrics

# HELP python_gc_objects_collected_total Objects collected during gc
# TYPE python_gc_objects_collected_total counter
python_gc_objects_collected_total{generation="0"} 65.0
python_gc_objects_collected_total{generation="1"} 281.0
python_gc_objects_collected_total{generation="2"} 0.0
# HELP python_gc_objects_uncollectable_total Uncollectable object found during GC
# TYPE python_gc_objects_uncollectable_total counter
python_gc_objects_uncollectable_total{generation="0"} 0.0
python_gc_objects_uncollectable_total{generation="1"} 0.0
python_gc_objects_uncollectable_total{generation="2"} 0.0
# HELP python_gc_collections_total Number of times this generation was collected
# TYPE python_gc_collections_total counter
python_gc_collections_total{generation="0"} 37.0
python_gc_collections_total{generation="1"} 3.0
python_gc_collections_total{generation="2"} 0.0
# HELP python_info Python platform information
# TYPE python_info gauge
python_info{implementation="CPython",major="3",minor="7",patchlevel="3",version="3.7.3"} 1.0
# HELP request_processing_seconds Time spend processing request
# TYPE request_processing_seconds summary
request_processing_seconds_count 2545.0
request_processing_seconds_sum 1290.4869346540017
# TYPE request_processing_seconds_created gauge
request_processing_seconds_created 1.562364777766845e+09
# HELP my_inprorgress_requests CPU Load
# TYPE my_inprorgress_requests gauge
my_inprorgress_requests 65.0

Python3脚本

from prometheus_client import start_http_server, Summary, Gauge
import random
import time

# Create a metric to track time spent and requests made
REQUEST_TIME = Summary("request_processing_seconds", 'Time spend processing request')

@REQUEST_TIME.time()
def process_request(t):
    time.sleep(t)

if __name__ == "__main__":
    start_http_server(8000)
    g = Gauge('my_inprorgress_requests', 'CPU Load')
    g.set(65)

    while True:
        process_request(random.random())

虽然不是很常见的用例..您确实可以从容器连接到主机。

From https://docs.docker.com/docker-for-mac/networking/ https://docs.docker.com/docker-for-mac/networking/

我想从容器连接到主机上的服务

主机的 IP 地址正在变化（如果没有网络，则没有 IP 地址） 使用权）。从 18.03 开始​​，我们建议连接到 特殊 DNS 名称主机.docker.内部，这解决了内部 主机使用的IP地址。这是为了发展目的，并将 无法在 Docker Desktop 之外的生产环境中工作 苹果。