for-linux VS coolify

Software Version Description Docker Engine Version 20.10.10-ce+ or higher For installation instructions, see https://docs.docker.com/engine/installation/ Docker Compose docker-compose (v1.18.0+) or docker compose v2 (docker-compose-plugin) For installation instructions, see https://docs.docker.com/compose/install/ OpenSSL Latest is preferred Used to generate certificate and keys for Harbor

Install the Docker CLI.

Reading the GitHub issue about this is somewhat entertaining: https://github.com/docker/for-linux/issues/690

People are getting hacked a lot because of this, and docker doesn't seem to care all that much.

Docker: A tool for building, running, and managing Docker containers

possibly useful: https://github.com/docker/for-linux/issues/690 (Docker bypasses ufw firewall rules)

Sure - I work in an environment where I have to be on the VPN to access Snowflake. I also have to use Windows. The easiest dev environment for that is to install WSL2 and do the development in Ubuntu therein. However, the way that WSL2 manages Ubuntu is through some Windows host processes instead of the daemons that typically are used when you run Ubuntu. You can search around and find various reports about this - it manifests as "Cannot connect to the docker daemon." Here is one example from a quick search. On Windows, the way that you can easily get around that, if your org supports it, is to run Docker Desktop for Windows, which then manages that daemon process. That's all fine and good, but WSL has issues with routing traffic through VPNs for some reason. Again, here is a quick example of the type of things you'll find when you Google about this problem.

For a more universal configuration, setting the ip option in Docker's daemon.json file should tell Docker to only bind to that IP address. It does sound like there may be some bugs with this setting though, so your mileage may vary.

One workaround I've found is: https://github.com/docker/for-linux/issues/1437

Thank you. Your link is probably solution, it looks similar to the post I found before on github (and I was afraid to use it).

This is my first quick try deploying SvelteKit with the open source software Coolify by Andras Bacsai.

With a serverful approach, you can avoid these drawbacks, and the main challenge lies in selecting the platform that aligns with your requirements. Options may include AWS, Render, DigitalOcean, and others. While VPS is also an option, it's generally not recommended due to the significant setup and maintenance overhead involved (logging, monitoring, CI/CD pipelines, etc.). However, you can make your life easier by leveraging tools like Coolify that help managing your VPS.

Heroku and similar providers can simplify the server management issues, but you can use something much better that can combine both cost efficiency and ease of deployment—Coolify:

> VPSs being “easy to manage” is a strong option full of assumptions.

There are definitely many footguns with managing a VPS but I think the threshold to get vaguely competent with a VPS is not really that far off with getting familiar with the average cloud platform - which comes with its own dangers, like the near-total inability to put an upward cap on fees that that person found out with Netlify recently.

Having a $5 VPS and knowing it's never going to cost your more than $5 might balance out a lot of things on the other side for a lot of people.

(And, as a bonus, it comes with the benefit of having a better idea of what is going on on the actual computer which is running your code.)

Platforms like https://coolify.io/ (which I have not tried, but looks interesting) seem to give you some of the abstractions that you get in cloud platforms to save you having to mess with too much low level stuff and become an expert in a billion separate systems.

If you have Debian with automatic updates that does most of the heavy lifting for you. The hardest problem I have is resisting the temptation to just install everything, because the cost to do it is capped at my VPS monthly fee.

So yep, it comes with a lot of assumptions. But so does everything!

https://coolify.io/ might be worth a look

The modern iteration of these tools has taken the developer experience learnings from the Platform as a Service (PaaS) category, and will bring them to your own VM, giving you your own personal PaaS. Example of this include Dokku, Coolify, Caprover, Cloud66 and many more!