ahmedezat_katteb

@ahmedezat_katteb@lemmy.world

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⁨Comment⁩ on ⁨Tasks app recommendation with notifications?⁩ ⁨⁨16⁩ ⁨hours⁩ ago⁩:
If you’d rather keep Vikunja as the backend and web UI, it has a CalDAV endpoint, so you can point DAVx5 at it and use Tasks.org or jtx Board on Android for the reminders themselves. That gets you native Android notifications without email, and you keep the web interface for planning. Vikunja’s CalDAV side is less mature than its web UI, though, so test whether due dates and reminders come across the way you expect before moving everything over.

For notifications that aren’t tied to a task app (say, “remind me when X happens” from a script or Home Assistant), ntfy is the simplest self-hosted push to Android, as mentioned above.
⁨Comment⁩ on ⁨Connect turntables to HomePods⁩ ⁨⁨16⁩ ⁨hours⁩ ago⁩:
Nice find. One thing to check before buying parts: the README says it works with line-level sources through a USB audio adapter. Most turntables output phono level, so unless yours has a built-in preamp (look for a PHONO/LINE switch on the back), you’ll need a phono preamp between the deck and the USB adapter. Without it the signal is very quiet and has no RIAA equalisation, so it sounds thin.

Also, AirPlay buffers for a couple of seconds, which is fine for listening, but you’ll notice the delay if you’re standing next to the speakers while dropping the needle. The automatic start/stop on signal detection is the clever part for a turntable.
⁨Comment⁩ on ⁨How Many Users Can a 1 vCPU / 2 GB RAM Server Actually Handle?⁩ ⁨⁨17⁩ ⁨hours⁩ ago⁩:
The most useful number you can get is from your own stack: put your actual app on the box and hit it with k6 or wrk using a realistic mix of pages, and watch memory rather than CPU. On 2 GB the failure mode is almost always RAM: too many PHP-FPM/worker processes plus a database on default buffers, then swap thrashing and the OOM killer, long before the single core is the limit.

What buys the most headroom on boxes this size:
- cap the worker count (pm.max_children or the equivalent) to what actually fits in RAM
- size the DB buffer pool deliberately instead of leaving defaults
- zram for bursts
- serve anything static or cacheable straight from nginx so it never touches the app
And rate-limit or block the obvious scrapers. As someone said above, bot traffic is often the real load.
⁨Comment⁩ on ⁨Old laptop with non-funtional display... What do I turn it into⁩ ⁨⁨17⁩ ⁨hours⁩ ago⁩:
If you end up running it headless (game streaming host, Jellyfin/Immich worker, whatever), two small things save a lot of hassle:
- Get an HDMI dummy plug (a “display emulator”, a few euros). With no internal panel detected and nothing on HDMI, the GPU often has no proper display to render to, and Sunshine/Steam streaming in particular wants a “real” display to capture at the resolution you pick.
- Check the BIOS for a “power on after AC loss” / “auto power on” option. Plenty of laptops don’t have it, but if yours does, it comes back on its own after an outage like a proper server. Otherwise Wake-on-LAN from one of your mini PCs is the fallback.
And since storage is your bottleneck right now, open it up and see if there’s a second M.2 slot. Some of these chassis have one, and then it could hold some data while also taking the Immich/Paperless ML jobs on the 3050Ti.