Prometheus监控系列二 | Docker容器化部署实战

Prometheus监控系列二 | Docker容器化部署实战

1 部署 Docker 服务

curl https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo -o /etc/yum.repos.d/docker.repo
yum list docker-ce --showduplicates | sort -r    # 显示所有版本
yum install -y docker-ce-20.10.5    # 指定 docker 版本
systemctl start docker    # 启动 docker 服务
systemctl status docker    # 查看 docker 服务状态
systemctl enable docker    # 设置 docker 开机自启动

2 部署 Prometheus 服务

创建 mon 用户，创建目录：

groupadd -g 2000 mon
useradd -u 2000 -g mon mon
mkdir -p /home/mon/prometheus/{
   
   etc,data,rules}

创建配置文件：

vim /home/mon/prometheus/etc/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']

启动容器服务：

docker pull prom/prometheus
cd /home/mon/
chown mon. -R prometheus
docker run -d --user root -p 9090:9090 --name prometheus \
    -v /home/mon/prometheus/etc/prometheus.yml:/etc/prometheus/prometheus.yml \
    -v /home/mon/prometheus/rules:/etc/prometheus/rules \
    -v /home/mon/prometheus/data:/data/prometheus \
    prom/prometheus \
    --config.file="/etc/prometheus/prometheus.yml" \
    --storage.tsdb.path="/data/prometheus" \
    --web.listen-address="0.0.0.0:9090"

3 部署 Grafana 服务

创建数据目录：

mkdir -p /home/mon/grafana/plugins

安装插件：下载Grafana插件

tar zxf /tmp/grafana-plugins.tar.gz -C /home/mon/grafana/plugins/
chown -R mon. /home/mon/grafana
chmod 777 -R /home/mon/grafana

启动容器服务：

docker pull grafana/grafana:latest
docker run -d -p 3000:3000 -v /home/mon/grafana:/var/lib/grafana --name=grafana grafana/grafana:latest

4 配置 Grafana 对接 Prometheus

访问 http://ip:3000，初始账号密码为 admin/admin，会要求更改密码。

按照如下截图顺序配置 Prometheus Dashboard：

5 部署 Node_Exporter 服务

我以监控一台阿里云ECS为例。

安装配置Node_Exporter：

curl https://github.com/prometheus/node_exporter/releases/download/v1.1.1/node_exporter-1.1.1.linux-amd64.tar.gz > /opt/node_exporter-1.1.1.linux-amd64.tar.gz
cd /opt
tar zxf node_exporter-1.1.1.linux-amd64.tar.gz
mv node_exporter-1.1.1.linux-amd64 node_exporter

配置服务启动脚本：

vim /usr/lib/systemd/system/node_exporter.service

[Unit]
Description=node_exporter service
 
[Service]
User=root
ExecStart=/opt/node_exporter/node_exporter
 
TimeoutStopSec=10
Restart=on-failure
RestartSec=5
 
[Install]
WantedBy=multi-user.target

systemctl daemon-reload
systemctl start node_exporter
systemctl status node_exporter
systemctl enable node_exporter

在这台ECS服务器的Nginx下配置反向代理：

vim /opt/nginx/conf/conf.d/blog.conf

    # prometheus monitor node exporter
    location /node/service {
   
   
        proxy_pass   http://127.0.0.1:9100/metrics;
        proxy_set_header Host $http_host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }

/opt/nginx/sbin/nginx -s reload

在Prometheus服务器端修改 配置文件：

vim /home/mon/prometheus/etc/prometheus.yml
        
  - job_name: 'node-service'
    static_configs:
    - targets: ['blog.iuskye.com']