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Prometheus Node Exporter project preview

Prometheus Node Exporter

Hardware and OS metrics exporter for *NIX kernels, written in Go.

LicenseApache-2.0
GitHub stars11.5k
Last commit1 weeks ago
Tags5 topics
Prometheus ExporterDevops InfrastructureKernel TelemetryHardware MetricsGolang
Overview

Why consider Prometheus Node Exporter?

Prometheus Node Exporter is the official Prometheus exporter for hardware and OS metrics exposed by *NIX kernels. Written in Go, it gathers CPU load, memory utilization, disk IOPS, network socket statistics, and filesystem wear for Prometheus scraping.

Guided learning

Learn Prometheus Node Exporter by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Prometheus Node Exporter

Node Exporter exposes hundreds of deep Linux kernel metric counters over standard HTTP endpoints for Prometheus scrapers.

Running with Docker

bash
1docker run -d \
2 --name node-exporter \
3 --net="host" \
4 --pid="host" \
5 quay.io/prometheus/node-exporter:latest

Prometheus Node Exporter is licensed under the Apache License Version 2.0.

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Prometheus Node Exporter FAQs

Prometheus Node Exporter is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Prometheus Node Exporter is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Prometheus Node Exporter is listed as an alternative to Datadog Agent. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.