nimsearch VS coolify

You are welcome. Thanks are too rarely offered. :-)

You may also be interested in word stemming ( such as used by snowball stemmer in https://github.com/c-blake/nimsearch ) or other NLP techniques, but I don't know how internationalized/multi-lingual that stuff is, but conceptually you might want "series of stemmed words" to be the content fragments of interest.

Similarity scores have many applications. Weights on graph of cancelled downloads ranked by size might be one. :)

Of course, for your specific "truncation" problem, you might also be able to just do an edit distance against the much smaller filenames and compare data prefixes in files or use a SHA256 of a content-based first slice. ( There are edit distance algos in Nim in https://github.com/c-blake/cligen/blob/master/cligen/textUt.... as well as in https://github.com/c-blake/suggest ).

Or, you could do a little program like ndup/sh/ndup to create a "mirrored file tree" of such content-based slices then you could use any true duplicate-file finder (like https://github.com/c-blake/bu/blob/main/dups.nim) on the little signature system to identify duplicates and go from path suffixes in those clusters back to the main filesystem. Of course, a single KV store within one or two files would be more efficient than thousands of tiny files. There are many possibilities.

It's all in the Nim programming language, but if you prefer reading code or running diffs then you might get a vague sense of (some) low level nuts & bolts from: https://github.com/c-blake/nimsearch

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!