🔥
HotRepo
netdata — Self-host The fastest path to AI-powered full stack observability, even for lean teams.
📦
netdata

netdata — Self-host The fastest path to AI-powered full stack observability, even for lean teams.

The fastest path to AI-powered full stack observability, even for lean teams.

80.4k🍴 6.6kGo📜 gpl-3.0#ai#alerting#cncf#data-visualization

netdata

The fastest path to AI-powered full stack observability, even for lean teams.

80,187 stars on GitHub · 🍴 6,578 forks · 📜 License: gpl-3.0 · 💻 Language: Go

What is netdata?

Real-time infrastructure monitoring usually demands heavy agents, complex scraping setups, and expensive SaaS bills. You can bypass those bottlenecks entirely with an ultra-lightweight, zero-configuration agent that delivers per-second observability and automated anomaly detection

Topics: the project is tagged with popular topics:

  • 🏷️ ai
  • 🏷️ alerting
  • 🏷️ cncf
  • 🏷️ data-visualization
  • 🏷️ database
  • 🏷️ devops
  • 🏷️ docker
  • 🏷️ grafana
  • 🏷️ influxdb
  • 🏷️ kubernetes

📸 Screenshots

Netdata

CII Best Practices

Energy Efficiency

Energy efficiency

Quick install

See the README for detailed install instructions. Most projects support Docker — if the repo has a Dockerfile, use:

git clone https://github.com/netdata/netdata.git
cd netdata
docker build -t netdata .
docker run -d -p 8080:8080 netdata

Minimum system requirements

Component Recommended
RAM 4096 MB
CPU 2 vCPU
Disk 50 GB SSD
OS Ubuntu 22.04 LTS / Debian 12
Docker 24.0+

⚡ Deploy fast on VSIS

Use the VSIS VPS Standard 4GB RAM / 2 vCPU / 50GB SSD (~150k/tháng) plan from VSIS.NET — high-speed VN-based VPS, 24/7 support, ideal for running netdata smoothly.

🎯 Benefits:

  • One-command docker compose up -d deploy in 2 minutes
  • Dedicated IPv4, root access, unmetered domestic bandwidth
  • Daily snapshot backup
  • Free install assistance from the VSIS team

👉 See matching VPS plans at vsis.net

Resources


Article compiled from GitHub data on 15/08/2026. Star/fork counts may have changed — see live numbers via the GitHub link.