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See every metric of your server in real time, every second

Netdata is a free agent you install on your server that shows its health every second, with no manual alert setup.

01netdata/netdata 81kGo

It's a watcher program that collects your server's stats — CPU, memory, disks, network — every second and learns on its own what's normal for each one.

When it helps

Useful if your app runs on your own server or a VPS (virtual private server) and you want to spot problems before users do. Skip it if your site is on managed hosting with no server access.

Pros

  • Free agent, no subscription, for monitoring a single server
  • Collects metrics every second with zero manual alert setup
  • Learns what's normal per metric instead of one shared threshold
  • Independent test found it the most CPU- and memory-efficient tool

Cons

  • Viewing several servers at once needs signing up for Netdata Cloud
  • Netdata Cloud's advanced features aren't open source

How to set it up — step by step

  1. 1Open your AI agent (Claude Code, Codex) in the project folder tied to your server or VPS.
  2. 2Send the agent the text from the block below.
  3. 3Grant server access if the agent asks for it.
  4. 4Wait while the agent installs Netdata via the official Linux installer or Docker image.
  5. 5Open the dashboard at port 19999 (http://your-server-address:19999) and check metrics update every second.
  6. 6Turn on the 'AR' anomaly-detection toggle on the dashboard and watch it flag unusual behavior.

Text for your agent

Copy this and send it to your agent — Claude Code, Codex, any of them:

Set up Netdata on my server following its README (https://github.com/netdata/netdata) — the official one-line Linux installer or the Docker image, ask me for server access if you need it, and open the dashboard on port 19999 with the anomaly detection 'AR' toggle switched on.

A lightweight background agent: it installs on the server itself, not your laptop, no GPU needed — an independent benchmark found it lighter on memory and CPU than comparable tools for monitoring Docker.

Open on GitHub