nakama VS Lean and Mean Docker containers

nakama: https://github.com/heroiclabs/nakama

To add more detail on the recent work on the ZHeap storage engine. We (Heroic Labs) sponsored work for the Cybertec team to bring it up to date with latest improvements and changes with Postgres' pluggable storage engine:

you can do that, but for what platform? html5? windows? android?, the most easiest way is use firestore a service from firebase (offer a free tier), it is the easiest way not the better, other way is use a service like nakama that is more professional and something in the middle can be mmm pocketbase or supabase.

I recommend the backend solution called Nakama since you’re using Godot: https://heroiclabs.com/

You could create all this yourself, or you can use existing solutions which handle all this (and much more I didn't mention). One that I'm aware of that works with Godot is Nakama. They have a paid hosting option, or you can host the application yourself.

I read using nakama server for this is convinient. https://heroiclabs.com/

Does anyone have recommendations on what to use? I've done a bit of research and found https://heroiclabs.com/. It's a bit unclear to me if it actually supports server side state because it talks about 'hosts' a bit, but I think it does...and it seems like you can host it yourself to avoid the $600 a MONTH! pricetag. But any other recommendations? Has anyone used heroic before?

You might be interested in Nakama server from https://heroiclabs.com/

Depending on how much effort you want to put in to this, you might consider something like Nakama: https://github.com/heroiclabs/nakama

There have been mentions of Normcore, Fish-Net, and Nakama as well.

And if you want to make the container quickly secure without bloats, maybe give this a try https://github.com/slimtoolkit/slim

Slim.ai presents the data in a more user friendly way than many of the other tools in this post. On top of its open source SlimToolkit for identifying the contents of an image, Slim.ai uses Trivy for vulnerability scanning.

What about https://github.com/slimtoolkit/slim?

A last practice that I do not use at all and which may interest you is to use slim toolkit to keep only the useful elements in your final image.

Anyone tried using https://github.com/docker-slim/docker-slim To minify an image?..

Distroless images are better left for people with serious need for lightweight images and good Linux knowledge because they require lot of planning with the build so that they stay light and work. If you need lighter images but docker isn't your main tool and you can't afford to take hours and hours of practicing different build strategies you can check docker-slim (https://dockersl.im/). With this tool you can easily size down the images.

Maybe this would help in that regard: https://github.com/docker-slim/docker-slim