caddy-docker-proxy VS Searx

https://github.com/lucaslorentz/caddy-docker-proxy

It handles the routing to multiple dockerized projects on one server, by scanning docker compose files for labels and automatically setting up the required caddy configuration.

My go to is always this instead:

https://github.com/lucaslorentz/caddy-docker-proxy

Single label to a docker container and with correct DNS you’ll have an automatically managed certificate right away.

I have had a great experience with using this: https://github.com/lucaslorentz/caddy-docker-proxy

It combines caddy with docker-compose labels, making it super easy to spin up new projects that can immediately be exposed.

If you want a slightly heavier but more robust solution, caddy-docker-proxy[0] is a plugin that listens to the Docker socket and automatically updates the Caddy configuration based on Docker labels you add to containers.

I.e. it makes Caddy act a bit more like Traefik. Most of the time, you'll just add the label `caddy.reverse_proxy={{upstreams http 8080}}` to your containers and the plugin will regenerate Caddy's configuration whenever the container is modified.

[0] https://github.com/lucaslorentz/caddy-docker-proxy

I disagree, Caddy works great in Docker. See https://caddyserver.com/docs/running#docker-compose, and CDP is a project that autoconfigures Caddy from labels https://github.com/lucaslorentz/caddy-docker-proxy. Regarding plugins, it's super simple to write a Dockerfile to add plugins, we ship a builder image variant that can be used to compile in any plugins you want.

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This way, Caddy will buffer the request and give 30 seconds for your new service to get online when you're deploying a new version.

Ideally, during deployment of a new version the new version should go live and healthy before caddy starts using it (and kills the old container). I've looked at https://github.com/Wowu/docker-rollout and https://github.com/lucaslorentz/caddy-docker-proxy but haven't had time to prioritize it yet.

And if you're using Docker then you can use Caddy Docker Proxy to configure Caddy directly in your Docker compose files:

Docker labels support is available via a plugin https://github.com/lucaslorentz/caddy-docker-proxy

Or caddy-docker-proxy: https://github.com/lucaslorentz/caddy-docker-proxy

- zwave-js-ui (manages the zwave based smart home devices I have...about 20 or so)

My router/firewall is a separate devices running OPNsense.

I run all the services with docker-compose. The server itself is a bit of a snowflake but all the critical parts of the services are in their respective docker directories so backup is a snap (aside from postgres which has a separate backup process).

Currently I'm working on documenting a recovery procedure for Vaultwarden from our Backblaze backups so that in the event something happens to me my wife will be able to recover the Vaultwarden instance and our passwords. That's a fun exercise in documentation and simplifying the process.

Snapcast has really been a dream for multi-room audio setup. It presents a Spotify Connect device to anyone on my wifi. It has a separate stream which comes from whatever is being played on MPD and it is easily configured to play audio from whichever of those two streams is actively playing music...so I don't have to manually switch between them.

Caddy has been great for organizing everything and ensuring each service has HTTPS. I understand Traefik is somewhat more purpose built for doing this with a bunch of containers but I haven't had a need to switch.

I do use https://github.com/lucaslorentz/caddy-docker-proxy for letting the containers themselves describe their respective domains and mapping.

I do have a VPS and use it for the occasional site that needs to be more reliable than my home internet (which itself is quite reliable but I'm not counting 9s there). More and more I find I'm comfortable putting random static sites on my machine at home, though.

I think searx was largely built by a single person.

https://github.com/searx/searx

RSS-Bridge has a Google search adapter. You can also fake it with Searx (which offers RSS feeds of search results).

I've recently wondered how effective local models were at chaining together thoughts as proposed in https://ofir.io/self-ask.pdf. Turns out they are indeed capable of doing so while also creating reasonable chains of thoughts that are easily as good as OpenAI's models. To make it completely free to run I used SearX running inside a Docker container with a second model curating the search results for the main model to get answers from the web.

Here's SearX

You can also supplement it with Searx's RSS feeds

It actually helps people be more private and secure while searching the web for search results. If you heard of searx, it is an alternative to it.

https://github.com/searx/searx