mpiorowski

mpiorowski / k10s

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A fast, concurrent, and highly functional multi-cluster Kubernetes terminal dashboard.

10
0
100% credibility
Found Mar 06, 2026 at 10 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

k10s is a terminal-based interactive dashboard for viewing and monitoring health metrics, alerts, workloads, and logs across multiple Kubernetes clusters simultaneously.

How It Works

1
🔍 Discover k10s

You learn about a handy terminal tool that lets you watch over multiple groups of servers all at once from a single screen.

2
📥 Get the tool

You download it quickly and put it somewhere your computer can easily find and run it.

3
🚀 Start it up

Open your terminal window and launch k10s, and it remembers your choices for next time.

4
✅ Pick your groups

Choose which server groups from your saved list to monitor side by side on the screen.

5
📊 See the big picture

A colorful grid pops up showing health stats, usage levels, problem alerts, and quick summaries for every group.

6
🔍 Dive deeper

Press a number to zoom into one group fullscreen, or switch on logs to hunt for errors and warnings.

🎉 Stay in control

Everything refreshes smoothly on its own, so you oversee all your servers effortlessly without switching windows.

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Star Growth

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AI-Generated Review

What is k10s?

k10s is a Go-powered terminal dashboard for monitoring multiple Kubernetes clusters side-by-side in one window, pulling aggregated health metrics, pod statuses, warnings, and filtered logs without tmux panes. Built with Bubble Tea for a responsive TUI, it auto-grids panels by terminal size, supports focus mode on clusters 1-9, and persists your selections. Run `k10s` or `k10s --contexts dev,prod` to start, with proactive alerts for OOMs, restarts, and events.

Why is it gaining traction?

It stands out with native multi-cluster support and fast concurrent polling—slow clusters never freeze the UI—plus unified logs with error/warn filters across deployments. Dynamic layouts, strict sections to avoid shifts during incidents, and chronological tailing with highlighting beat juggling single-cluster tools like k9s. Developers dig the snappy feel for quick cross-cluster glances.

Who should use this?

Platform engineers overseeing dev/staging/prod fleets. SREs on-call triaging incidents across environments. Teams running 3+ clusters needing aggregated views without context-switching.

Verdict

Early alpha with 10 stars and 1.0% credibility—solid README and install, but light on tests and maturity; tweak configs at `~/.config/k10s`. Try it for fast concurrent multi-cluster monitoring if k9s feels limiting.

(178 words)

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