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Podman Quadlets with Podman Desktop

(podman-desktop.io)
180 points teleforce | 1 comments | 14 Apr 25 17:16 UTC | HN request time: 0.209s | source
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orthoxerox ◴[14 Apr 25 20:20 UTC] No.43685880[source]▶
What is the killer feature that will make me want to switch from Docker Compose to Podman Quadlets?
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eriksjolund ◴[14 Apr 25 20:32 UTC] No.43685992[source]▶
Podman quadlet supports "Socket activation of containers" https://github.com/containers/podman/blob/main/docs/tutorial... This allows you to run a network server with `Network=none` (--network=none). If the server would be compromised, the intruder would not have the privileges to use the compromised server as a spam bot. There are other advantages, such as support for preserved source IP address and better performance when running a container with rootless Podman + Pasta in a custom network.
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anonfordays ◴[14 Apr 25 23:49 UTC] No.43687533[source]▶
What's old is new again. That's effectively how inetd worked circa 1986. The inetd daemon had some serious security vulnerabilities so the world move away from using "socket activated daemons" to having always listening services (performance reasons as well).
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rendaw ◴[15 Apr 25 06:05 UTC] No.43689460[source]▶
I never understood the use case for socket activation - is someone really running a web server that mixed workloads, long periods with no network traffic you'd rather prioritize something else, and a web server that's so resource intensive when not handling events it makes sense to stop it? Maybe desktop computers?

The security aspect is something new to me and I'm not sure if that applies to inetd/systemd socket services or if it's specifically a container thing.

Does anyone have more info on use cases for this?

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1. piaste ◴[15 Apr 25 07:30 UTC] No.43689968[source]▶
A public facing web server, I doubt it. But for a private one it can make a lot of sense - you are probably only using N services at a time, where N is the number of users.

As for what can be so resource intensive that it's worth to wait for startup time instead of running everything at the same time - a bunch of specialized LLMs is the obvious example. Or maybe you're a hobbyist cramming a hundred services into a tiny computer.