c0m4r

c0m4r / kula

Public

Lightweight, self-contained Linux® server monitoring tool

go golang linux linux-monitoring linux-server
75
0
100% credibility
Found Mar 07, 2026 at 76 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

Kula is a lightweight self-contained tool for monitoring Linux servers with real-time metrics shown in a web dashboard or terminal interface.

How It Works

1
🔍 Discover Kula

You hear about Kula, a simple tool that watches your computer's health like a friendly guardian.

2
📥 Get it ready

Download the easy file that works right away on your Linux computer.

3
🚀 Start watching

Run Kula and instantly see your computer's heartbeat come to life.

4
Pick your view
🌐
Web dashboard

Open your browser for interactive charts that zoom and glow.

⌨️
Text screen

Stay in the terminal for a quick, no-fuss overview.

5
⚙️ Make it yours

Adjust how much history to keep or add a password if sharing.

6
🔄 Run always

Set it to watch quietly in the background like a night watchman.

😊 Healthy server

Relax knowing CPU, memory, network, and disks are always in view, safe and smooth.

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Star Growth

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AI-Generated Review

What is kula?

Kula is a lightweight, self-contained Linux server monitoring tool built in Go that scrapes metrics like CPU per core, network throughput, disk I/O, memory, swap, load, processes, and system stats directly from /proc and /sys every second. It stores data in tiered ring-buffers with fixed disk usage—no databases or deps required—and delivers real-time views via a WebSocket-powered Chart.js dashboard or terminal TUI. Drop the single 8MB binary on any amd64/ARM/RISC-V server, run `./kula serve`, and monitor at http://localhost:8080.

Why is it gaining traction?

Unlike heavyweight GitHub staples like Prometheus or Netdata that demand Docker and storage sprawl, Kula deploys instantly with zero config, predictable ~450MB disk caps, and optional Argon2 auth. The interactive dashboard zooms graphs, pauses live streams on hover, and aggregates data on-the-fly, echoing lightweight-chart vibes but for servers. TUI fallback and sandboxing seal it for quick VPS or homelab spins.

Who should use this?

Sysadmins firewatching low-spec VMs or Raspberry Pi clusters needing instant metrics without infra bloat. DevOps folks in air-gapped setups dodging Grafana's dependencies. Homelab tinkerers tracking entropy, clock sync, or self-process overhead during experiments.

Verdict

Solid pick for lightweight self-contained monitoring—75 stars and full test suites show promise, though 1.0% credibility score means it's early; treat as beta for prod. Pairs well as a GitHub lightweight alternative to bloated tools.

(187 words)

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