68 lines
2.4 KiB
Markdown
68 lines
2.4 KiB
Markdown
# Examples
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There are a million ways to use ntfy, but here are some inspirations. I try to collect
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<a href="https://github.com/binwiederhier/ntfy/tree/main/examples">examples on GitHub</a>, so be sure to check
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those out, too.
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## A long process is done: backups, copying data, pipelines, ...
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I started adding notifications pretty much all of my scripts. Typically, I just chain the <tt>curl</tt> call
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directly to the command I'm running. The following example will either send <i>Laptop backup succeeded</i>
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or ⚠️ <i>Laptop backup failed</i> directly to my phone:
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```
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rsync -a root@laptop /backups/laptop \
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&& zfs snapshot ... \
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&& curl -H prio:low -d "Laptop backup succeeded" ntfy.sh/backups \
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|| curl -H tags:warning -H prio:high -d "Laptop backup failed" ntfy.sh/backups
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```
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## Server-sent messages in your web app
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Just as you can [subscribe to topics in the Web UI](subscribe/web.md), you can use ntfy in your own
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web application. Check out the <a href="/example.html">live example</a> or just look the source of this page.
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## Notify on SSH login
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Years ago my home server was broken into. That shook me hard, so every time someone logs into any machine that I
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own, I now message myself. Here's an example of how to use <a href="https://en.wikipedia.org/wiki/Linux_PAM">PAM</a>
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to notify yourself on SSH login.
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=== "/etc/pam.d/sshd"
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```
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# at the end of the file
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session optional pam_exec.so /usr/bin/ntfy-ssh-login.sh
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```
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=== "/usr/bin/ntfy-ssh-login.sh"
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```bash
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#!/bin/bash
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if [ "${PAM_TYPE}" = "open_session" ]; then
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curl \
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-H prio:high \
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-H tags:warning \
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-d "SSH login: ${PAM_USER} from ${PAM_RHOST}" \
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ntfy.sh/alerts
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fi
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```
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## Collect data from multiple machines
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The other day I was running tasks on 20 servers, and I wanted to collect the interim results
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as a CSV in one place. Each of the servers was publishing to a topic as the results completed (`publish-result.sh`),
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and I had one central collector to grab the results as they came in (`collect-results.sh`).
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It looked something like this:
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=== "collect-results.sh"
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```bash
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while read result; do
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[ -n "$result" ] && echo "$result" >> results.csv
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done < <(stdbuf -i0 -o0 curl -s ntfy.sh/results/raw)
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```
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=== "publish-result.sh"
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```bash
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// This script was run on each of the 20 servers. It was doing heavy processing ...
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// Publish script results
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curl -d "$(hostname),$count,$time" ntfy.sh/results
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```
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