> For the complete documentation index, see [llms.txt](https://docs.gotempest.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.gotempest.app/productivity/tempest-monitoring.md).

# Tempest Monitoring

**Tempest Monitoring** turns any SSH session into a live system dashboard: CPU, memory, disk, and network gauges update in real time inside the same tab where you're working — no Grafana, no Prometheus, no agent install required. It's a quick "is this box healthy?" answer for any Linux server you can SSH into.

<figure><img src="/files/0v1Kk7RWiqrOSxf4Pvoi" alt=""><figcaption></figcaption></figure>

## Enable monitoring

> Monitoring is part of **Tempest Pro**.

1. Open the connection's **Edit** form.
2. Toggle **Monitoring** on.
3. Save and reconnect.

<figure><img src="/files/wkyNzJFPOW8VYcqmq7DC" alt="" width="375"><figcaption><p>Monitoring option in Edit form</p></figcaption></figure>

Gauges appear above the terminal once a successful sample is collected.

## What runs on your server

> Tempest never sends your monitoring data anywhere — it's parsed locally and shown only in your tab.

Tempest periodically runs three standard Unix commands and parses the output:

* `top -b -n1` — first 5 lines, for CPU and memory
* `df` — for disk usage
* `cat /proc/net/dev` — for network I/O

These are read-only, available on virtually every Linux distribution, and require no special privileges. No agent, no daemon, no kernel module.

## Compatibility

* **Linux**: full support (any distro with `top` and `/proc/net/dev`).
* **macOS / BSD**: partial — CPU/memory work; some disk/network parsing differs.
* **Windows servers**: not supported (no `/proc/net/dev`).

## Privacy

See [How Tempest Protects Your Privacy](/account-and-privacy/how-tempest-protect-your-privacy.md) for the full data-handling story. Monitoring samples never leave your device.

## See also

* [Tempest AI Assistant](/productivity/tempest-ai-assistant.md) — ask the AI to investigate when a gauge spikes
* [Kubernetes Profiles](/productivity/kubernetes-profiles.md) — pair monitoring with `kubectl top`
