Docker部署

1. 在Docker部署之前，首先要确保拥有Docker环境，具体安装可以参考文档6.2.3.3章节
2. 拉取prometheus最新镜像
   ~~~shell
   [root@JD prometheus]# docker pull prom/prometheus
   ~~~
   

3. 启动docker容器并挂载配置文件，配置文件上一章节二进制部署正好有，可以直接使用
   注意：⚠️ 若二进制章节部署后，需要执行systemctl stop prometheus.service关闭服务，否则会造成端口冲突，或者docker的端口映射改为 -p 9091:9090 也可
   ~~~shell
   [root@JD prometheus]# docker run --name prometheus -d -p 9090:9090 -v /data/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml -v /data/prometheus/rules:/etc/prometheus/rules prom/prometheus --config.file=/etc/prometheus/prometheus.yml --web.enable-lifecycle
   ~~~

4. 访问系统 http://服务器ip:9090，注意防火墙或安全组开发端口。
   
5. 由于上一章节配置文件已经搞定，本章节无需再配置
   
   

6. 若没有操作过二进制部署，可以通过下面的文本手动创建配置文件 prometheus.yml
   ~~~yaml

   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:
# 这里改为服务器ip以及分配的端口号
- targets: ['11x.xx.xx.7:9090']

~~~