Docker 部署 Prometheus

Docker 部署 Prometheus

1、安装Prometheus

创建持久化路径

mkdir -p /data/prometheus/config
mkdir -p /data/prometheus/data
mkdir -p /data/prometheus/rules

docker run -d \
-u root \
--restart=always \
--name prometheus \
-p 9090:9090 \
-v /etc/localtime:/etc/localtime \
-v /data/prometheus/config/prometheus.yml:/etc/prometheus/prometheus.yml \
-v /data/prometheus/data:/prometheus \
-v /data/prometheus/rules:/usr/local/prometheus/rules \
prom/prometheus \
--storage.tsdb.retention.time=100d \
--config.file=/etc/prometheus/prometheus.yml

将对应的rules 文件上传到 /data/prometheus/rules下

修改Prometheus.yml文件

# 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: ['192.168.31.210:9093']  #修改为实际alertmanagers地址
          # - alertmanager:9093

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"
  - "/usr/local/prometheus/rules/*.yml"  #修改为容器内 rules 地址

# 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: ["192.168.31.210:9090"] #修改为实际prometheus地址
    
  - job_name: public_linux
    static_configs:
      - targets: ['192.168.31.204:9100','192.168.31.205:9100','192.168.31.206:9100','192.168.31.207:9100','192.168.31.208:9100','192.168.31.209:9100']

  - job_name: Dev_linux
    static_configs:
      - targets: ['192.168.31.211:9100','192.168.31.212:9100','192.168.31.213:9100','192.168.31.214:9100','192.168.31.216:9100','192.168.31.217:9100','192.168.31.218:9100','192.168.31.219:9100','192.168.31.220:9100','192.168.31.221:9100','192.168.31.222:9100','192.168.31.223:9100','192.168.31.224:9100','192.168.31.225:9100','192.168.31.226:9100','192.168.31.227:9100']

2、安装grafana

创建持久化目录

mkdir  /data/grafana-storage  
chmod 777 -R /data/grafana-storage

启动grafana

docker run -d \
 -p 3000:3000 \
 --name=grafana \
 -v /data/grafana-storage:/var/lib/grafana \
 -v /etc/localtime:/etc/localtime \
 grafana/grafana

导入监控模板

3、安装 alertmanager

创建持久化目录

mkdir -p /data/alertmanager/

启动alertmanager

docker run -d \
--name alertmanager \
-p 9093:9093 \
-v /data/alertmanager/alertmanager.yml:/etc/alertmanager/alertmanager.yml \
-v /etc/localtime:/etc/localtime \
prom/alertmanager \
--config.file=/etc/alertmanager/alertmanager.yml