安装 Prometheus 指标存储观测 dubbo /windows_exporter指标 windows 版本其他系统换个语法思路一样

下载 Prometheus

访问Prometheus

Targets 发现服务

dubbo%20%E6%8C%87%E6%A0%87%E5%B0%B1%E5%87%BA%E6%9D%A5%E4%BA%86-toc" style="margin-left:80px;"> 对应的 dubbo 指标就出来了

Dubbo脚手架生成个最简单的项目

导入 Prometheus 相关包

或者使用这个包即可

启动后就自动上报指标了

Windows_exporter or node_exporter

端口 9182

windows_exporter-toc" style="margin-left:80px;">Prometheus 配置 windows_exporter

Targets 自动就出来了

Windows 系统的指标就出来了

配个指标都就出来了

下载 Prometheus

清华大学开源镜像站

清华大学开源软件镜像站 | Tsinghua Open Source Mirror

根目录下直接启动即可无其他操作

访问Prometheus

http://localhost:9090/ 访问 Prometheus

Targets 发现服务

dubbo%20%E6%8C%87%E6%A0%87%E5%B0%B1%E5%87%BA%E6%9D%A5%E4%BA%86" style="margin-left:0;"> 对应的 dubbo 指标就出来了

选择指标后选择graph 或 table 就可以看报告内容了

Dubbo脚手架生成个最简单的项目

Initializer Dubbo

导入 Prometheus 相关包

<dependency>
    <groupId>org.apache.dubbo</groupId>
    <artifactId>dubbo-metrics-prometheus</artifactId>
</dependency>
<dependency>
    <groupId>io.micrometer</groupId>
    <artifactId>micrometer-core</artifactId>
</dependency>
<dependency>
    <groupId>io.micrometer</groupId>
    <artifactId>micrometer-registry-prometheus</artifactId>
</dependency>

或者使用这个包即可

<dependency>
    <groupId>org.apache.dubbo</groupId>
    <artifactId>dubbo-spring-boot-observability-starter</artifactId>
    <version>3.2.0</version>
</dependency>

启动后就自动上报指标了

Windows_exporter or node_exporter

下载

GitHub - prometheus-community/windows_exporter： Prometheus exporter for Windows machines

Releases · prometheus-community/windows_exporter (github.com)

下载下来直接启动即可

端口 9182

windows_exporter" style="margin-left:0;">Prometheus 配置 windows_exporter

# 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"
  #- win_alert_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: "dubbo-p"
    static_configs:
      - targets: ["localhost:8101","localhost:20880","localhost:22222"]
  - job_name: "windows-exporter"
    static_configs:
      - targets: ["localhost:9182"]