配置Prometheus
（wegt下载压缩包，解压并重命名prometheus，文件放于/data/prometheus即可）
配置 service方法(文件放于 /etc/systemd/system/prometheus.service)：
[Unit]
Description=Prometheus Server
Documentation=https://prometheus.io/docs/introduction/overview/
After=network-online.target
[Service]
Type=simple
User=prometheus
Group=prometheus
ExecStart=/data/prometheus/prometheus/prometheus \
--config.file=/data/prometheus/prometheus/prometheus.yml \
--storage.tsdb.path=/data/prometheus/prometheus/data \
--storage.tsdb.retention.time=60d \
--web.enable-lifecycle
Restart=on-failure
[Install]
WantedBy=multi-user.target授权给用户 prometheus
# 创建用户 -M 不创建源目录 -s 指定 shell
useradd -M -s /usr/sbin/nologin prometheus
# 赋权
chown prometheus:prometheus -R /data/prometheus启动运行并检查状态
# 启动
systemctl start prometheus.service
# 检查
systemctl status prometheus.service
# 开启自启动
systemctl enable prometheus.service
# 修改单元文件，重新加载systemd配置
sudo systemctl daemon-reload
# 检查日志方法
journalctl -u prometheus.service -f重新加载 prometheus
# -X 指定 POST 请求
curl -X POST http://localhost:9090/-/reload 访问web地址9090：
# ip:9090 访问
prometheus http://xxx.xxx.xxx.xxx:9090
监控指标 http://xxx.xxx.xxx.xxx:9090/metrics
配置 alertmanager
配置文件
[Unit]
Description=Alert Manager
Wants=network-online.target
After=network-online.target
[Service]
Type=simple
User=prometheus
Group=prometheus
ExecStart=/data/prometheus/alertmanager/alertmanager \
--config.file=/data/prometheus/alertmanager/alertmanager.yml \
--storage.path=/data/prometheus/prometheus/data \
Restart=always
[Install]
WantedBy=multi-user.target访问：web端口9093
配置alert服务器告警提示：
root@pass:~# cat /data/prometheus/prometheus/alert.yml
groups:
- name: Prometheus alert
rules:
- alert: 服务告警
expr: up == 0
for: 30s
labels:
severity: critical
annotations:
instance: "{{ $labels.instance }}"
description: "{{ $labels.job }} 服务器"访问web检查：
检查yml文件配置方法promtool工具：
root@pass:~# cd /data/prometheus/prometheus/
root@pass:/data/prometheus/prometheus# ./promtool check config prometheus.yml
Checking prometheus.yml
SUCCESS: 1 rule files found
SUCCESS: prometheus.yml is valid prometheus config file syntax
Checking alert.yml
SUCCESS: 1 rules found配置grafana
下载地址：Download Grafana | Grafana Labs
配置service文件：
[Unit]
Description=Grafana server
Documentation=http://docs.grafana.org
[Service]
Type=simple
User=prometheus
Group=prometheus
Restart=on-failure
ExecStart= /data/prometheus/grafana/bin/grafana-server \
--config=/data/prometheus/grafana/conf/defaults.ini \
--homepath=/data/prometheus/grafana
[Install]
WantedBy=multi-user.target访问web端口3000：（默认账号及密码admin/admin）
配置node_exporter
下载地址同Prometheus
配置service文件：
[Unit]
Description=node_exporter
Documentation=http://prometheus.io/
After=network.target
[Service]
User=prometheus
Group=prometheus
Restart=on-failure
ExecStart= /data/prometheus/node_exporter/node_exporter
[Install]
WantedBy=multi-user.target访问web端口9100
最后注意记得配置时将需要的配置到Prometheus.yml中：
# 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:
- localhost:9093
# - alertmanager:9093
# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
- "alert.yml"
# - "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"]
- job_name: "node-exporter"
scrape_interval: 15s
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.
static_configs:
- targets: ["localhost:9090"]
labels:
instance: Prometheus服务器web页面展示
手动创建仪表板：官方地址 Grafana dashboards | Grafana Labs
复制需要的ID ，然后导入到granafa图表中即可
第一步：
第二步：
第三步：
展示结果：
