使用Prometheus×Grafana来监控fluentd的进程【process-exporter】

2 年 ago

韵, 科

2 minutes

我想使用Prometheus进行进程监控

在使用Prometheus时，似乎主流的做法是使用每个应用程序专用的exporter。

我們將使用在第三方出口商中列出的process-exporter。

因为想要确认操作是否正确，所以在本地执行。

准备

准备以下事项


- config
    - grafana
        - grafana.env(雛型として用意してるだけ) 
    - process-exporter
        - config.yml
    - prometheus
        - prometheus.yml
    - fluentd-data
- docker-compose.yml

# [server]
# GF_SERVER_DOMAIN=localhost
# GF_SERVER_HTTP_PORT=3000
# GF_SERVER_PROTOCOL=http

process_names:
    - name: "{{.Comm}}"
      comm:
      - fluentd

global:
  scrape_interval:     15s
  evaluation_interval: 15s
  external_labels:
      monitor: 'codelab-monitor'

rule_files:
#   - "/var/app/prometheus/alert.rules"

scrape_configs:
  - job_name: 'prometheus'
    static_configs:
      - targets: 
        - 'localhost:9090'

  - job_name: 'node-exporter'
    static_configs:
      - targets:
        - '[host or ip address]:9100'

  - job_name: 'process-exporter'
    static_configs:
      - targets:
        - '[host or ip address]:9256'

[主机或IP地址]用于指定除本地主机以外的IP地址或主机名分配给自己的计算机。

version: '3'
services:
  prometheus:
    image: prom/prometheus
    container_name: prometheus
    volumes:
      - ./config/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml
    ports:
      - 9090:9090

  grafana:
    image: grafana/grafana
    container_name: grafana
    ports:
      - 3000:3000
    env_file:
      - ./config/grafana/grafana.env

  node-exporter:
    image: quay.io/prometheus/node-exporter
    container_name: node-exporter
    ports:
      - 9100:9100
    volumes:
      - /proc:/host/proc
      - /sys:/host/sys
      - /:/rootfs

  process-exporter:
    image: ncabatoff/process-exporter
    container_name: process-exporter
    ports:
        - 9256:9256
    volumes:
      - /proc:/host/proc
      - ./config/process-exporter:/config
    command: >
      --procfs /host/proc
      -config.path /config/config.yml

  fluentd:
    image: fluent/fluentd
    container_name: fluentd
    ports:
      - 24224:24224
    volumes: 
      - ./fluentd-data:/fluentd/log