bolt VS logpaste

This crate started out as just a way for me to learn how boltdb works, while learning Rust at the same time. But somehow people started finding and using it and seem to like the simple API, so I figured I might as well share it in case someone else finds it useful too. If you want to know more about my motivations and the history of this crate, you can read the release notes on version 0.8.0!

Some example of embeddable database could be genji, badger and boltdb

Designing Data Intensive applications- specifically chapter 3 and 4 which deal with strategies and algorithms for storing and encoding data to be stored on disk and their pros and cons.

Once you read that, I'll suggest reading the source of a simple embedded key-value database, I wouldn't bother with RDBMs as they are complex beasts and contain way more than you need. BoltDB is a good project to read the source of https://github.com/boltdb/bolt, the whole thing is <10k lines of code and is a full blown production grade system with ACID semantics so packs a lot in those 10k and isn't just merely a toy.

Bolt db and Bolt db's author post to go with it.

https://github.com/boltdb/bolt is a ACID B+ tree key-value store

For a single server, SQLite, or boltdb[0]

I've never had to scale horizontally. I develop in Go and you can get very far along with just vertical scaling (aka beefier hardware).

Therefore I can't give concrete examples of a distributed db-as-a-library.

But all that you need is to extend the functions that fetch data to not just fetch from disk but from "peers" as well. For this to work you need servers (instances) to know about each other, and as you add more they also get added to their peers - sort of like a bittorrent network. I don't think it's difficult to do.

SQLite might not be suited for being distributed (although RQlite[1] claims to have done it).

Making a distributed data storage based on boltdb[0] is probably more feasible.

Whatever the case, there's no reason why a data storage engine can't be a library, even if it's distributed.

[0]: https://github.com/boltdb/bolt

[1]: https://github.com/rqlite/rqlite

FWIW, I've used Litestream on Google Cloud Run and never run into issues, but I haven't pushed it much:

https://github.com/mtlynch/logpaste/blob/master/docs/deploym...

Currently, no. I've implemented that functionality recently in my other tool, LogPaste, so it shouldn't be too hard to reproduce here.

My tool is called LogPaste. It allows users to generate shareable URLs for text files. I use it in my open-source KVM over IP device so that users can easily share diagnostic logs with me.

I designed it with self-hosting in mind, so there are instructions for hosting it under Docker, as well as with several free cloud hosting providers. You can even host the data storage part yourself if you use a solution like Minio.

I still use GCP, but I avoid locking myself into their proprietary infrastructure when I'm writing new stuff. I feel like Google is far too cavalier about deprecating services and forcing their customers to do migration work.

It is hard to replace GCP's managed datastores because I really don't want to maintain my own database server (even if it's a managed service that someone else upgrades for me). So I've stuck to Google Cloud Datastore / Firestore, but I've been experimenting a lot with Litestream[0], and I think that might be my go-to choice in the future instead of proprietary managed datastores.

Litestream continuously streams data from a SQLite database to an S3 backend. It means that you can design your app to use SQLite and then sync the database to any S3 provider. I designed a simple pastebin clone on top of Litestream, and I use it in production for my open source KVM over IP. It's worked great so far, though I'm admittedly putting a pretty gentle workload on it (a handful of requests per day).

[0] https://litestream.io/

[1] https://github.com/mtlynch/logpaste