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Best way to dockerize a static website? (lemmy.ml)

submitted 8 months ago by [email protected] to c/[email protected]

52 comments fedilink hide all child comments

I'm currently researching the best method for running a static website from Docker.

The site consists of one single HTML file, a bunch of CSS files, and a few JS files. On server-side nothing needs to be preprocessed. The website uses JS to request some JSON files, though. Handling of the files is doing via client-side JS, the server only need to - serve the files.

The website is intended to be used as selfhosted web application and is quite niche so there won't be much load and not many concurrent users.

I boiled it down to the following options:

BusyBox in a selfmade Docker container, manually running httpd or The smallest Docker image ...
php:latest (ignoring the fact, that the built-in webserver is meant for development and not for production)
Nginx serving the files (but this)

For all of the variants I found information online. From the options I found I actually prefer the BusyBox route because it seems the cleanest with the least amount of overhead (I just need to serve the files, the rest is done on the client).

Do you have any other ideas? How do you host static content?

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[–] [email protected] 1 points 8 months ago (1 children)

I care about anything. RAM usage, file size, etc. I'm a minimalist when it comes to software. Use as less of all resources as possible. After once writing a router in Python I thought I could do this in Lua, too, but never actually tried. Maybe this would be a nice weekend project?

Even if Nginx is the way to go, I currently experiment with SWS which was suggested here. Technical aspects aside: The software is actively developed and the maintainer provides Docker images on their own (easy for Deploying a container based on that) and a package for my distribution (easy for development testing).

[–] [email protected] 1 points 6 months ago

Well op look at it this way...

A single 50mb nginx docker image can be used multiple times for multiple docker containers.