[增加中文版]🔹 Node Information - 更美观的 Grafana 性能监控面板 (Prometheus + Node Exporter) & Grafana 安装教程

@Bene #86
现在我的 /etc/prometheus/prometheus.yml 内容是这样的，应该如何改呢？

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"]
        labels:
          instance: '实例1'
      - targets: ["localhost:9100"]
        labels:
          instance: '实例2'

@fscarmen #91

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"]

  - job_name: "node_exporter"
    scrape_interval: 10s
	
    static_configs:
      - targets: ["localhost:9100"]
        labels:
          instance: '本机'
      - targets: ["1.2.3.4(其他机器的IP):9100"]
        labels:
          instance: '其他机器'

@JohnsonRan #90

这个命令是让 nodeExporter 只读取 br-lan 的数据了，而且我面板的网速部分基本限定了 eth.* / ens.* 之类的网卡，不会接触 br-lan 的数据

需要重新编辑，加上 br-lan

感觉有点吃内存

@adouta #94

测试加了20个探针，服务端大概增加了350MB内存，供参考

@Bene 再次感谢楼主！

哪位大能录个搭建视频，上传油管，绝逼有播放

@Bene #92 我已经按你的配置文件改了，并重启了 prometheus，仍然未行，请大佬看看哪里漏了？

# 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"]
        labels:
          instance: '实例1'

  - job_name: "node_exporter"
    scrape_interval: 10s
    static_configs:
      - targets: ["localhost:9100"]
        labels:
          instance: '本机'

@fscarmen #97

试试删掉 9090 的 label，这里都不需要 label 的

      - targets: ["localhost:9090"]
        labels:
          instance: '实例1'

我现在是两台机器，但只显示1台的呢？使用哪里有问题？在服务端是能获取客户端的数据

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"]
        labels:
          instance: '实例1'

  - job_name: "node_exporter"
    scrape_interval: 10s
    static_configs:
      - targets: ["localhost:9100"]
        labels:
          instance: '本机'
      - targets: ["140.245.48.51:30400"]
        labels:
          instance: 'nat鸡'
```![描述](https://img.imgdd.com/f210f3.1bc7656d-8ade-4f67-af4b-f68a29369cff.png)

@fscarmen #73 这个主要是看你的数据源来自哪里，如果你都是用Prometheus采集的，那么在grafana上会自动跟新在Prometheus上采集到的数据，通过instance实例变量去切换当前展示的数据的实例对象。