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What kind of metrics are captured by Prometheus

Prometheus can capture a wide range of metrics, not only from applications but also from the system itself, including metrics related to memory, CPU, disk I/O, network usage, and more. Here’s a more detailed breakdown of what Prometheus can capture:

1. Application Metrics

These are metrics that you expose from your applications. Examples include:

To capture these metrics, you need to instrument your application using one of the Prometheus client libraries (e.g., for Go, Java, Python, Node.js, etc.).

2. System Metrics

Prometheus can capture various system-level metrics using exporters. An exporter is a service that exposes metrics in a format that Prometheus can scrape.

Common Exporters:

Example Metrics from Node Exporter:

Example: Setting Up Node Exporter

To capture system metrics, you can use the Node Exporter. Here’s how to set it up and configure Prometheus to scrape metrics from it:

  1. Download and Run Node Exporter:

    wget https://github.com/prometheus/node_exporter/releases/download/v1.2.2/node_exporter-1.2.2.linux-amd64.tar.gz
    tar xvfz node_exporter-1.2.2.linux-amd64.tar.gz
    cd node_exporter-1.2.2.linux-amd64
    ./node_exporter
    
  2. Update Prometheus Configuration: Add the Node Exporter target to your prometheus.yml:

    global:
      scrape_interval: 15s
    
    scrape_configs:
      - job_name: 'prometheus'
        static_configs:
          - targets: ['localhost:9090']
    
      - job_name: 'node-exporter'
        static_configs:
          - targets: ['localhost:9100']
    
  3. Restart Prometheus to apply the new configuration:

    docker-compose restart prometheus
    
  4. Access Node Exporter Metrics: Open your browser and go to http://localhost:9100/metrics to see the metrics exposed by the Node Exporter.

Visualization and Alerting

To visualize these metrics and set up alerts, you can integrate Prometheus with Grafana and Alertmanager:

Published on: Jul 08, 2024, 05:12 AM  
 

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