Docker 环境部署 Prometheus

1.部署规范目录

mkdir -pv /data/project/prometheus/{conf,data}
cd  /data/project/prometheus/

# /data/project/prometheus/conf  # 配置文件目录
# /data/project/prometheus/conf  # 数据存储目录

2.配置文件

文件: /data/project/prometheus/conf/prometheus.yml

# my global config
global:
  scrape_interval:     15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# Alertmanager configuration
alerting:
  alertmanagers:
  - static_configs:
    - targets:
      # - alertmanager:9093

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
  - job_name: 'prometheus'

    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.

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

3.启动服务

文件: start.sh

#!/bin/bash
#author: linuxhub.cn

configure_file=/data/project/prometheus/conf
prometheus_data=/data/project/prometheus/data

chown -R 65534:65534 ${configure_file}
chown -R 65534:65534 ${prometheus_data}

docker run -d \
--name prometheus \
--restart=always \
-p 9090:9090 \
-v ${configure_file}:/etc/prometheus \
-v ${prometheus_data}:/prometheus/data \
linuxhub/prometheus:v2.11.2 \
--config.file=/etc/prometheus/prometheus.yml \
--storage.tsdb.path=/prometheus/data \
--web.enable-lifecycle

4.停止服务

docker stop prometheus && docker rm prometheus

5.热加载配置文件

curl -X POST http://localhost:9090/-/reload

6.访问验证

http://{ip}:9090

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