Atlas VS bolt

> I usually have to spend an hour just removing stuff, disabling things and multiple reboots just to trim things down.

All of that is automated now. https://atlasos.net

How is this not clear?

"A modification of Windows, designed for gamers."

"Performance: By Removing unnecessary components, disabling power-saving features, and optimizing services."

"Privacy: By eliminating Microsoft's notorious tracking, pre-installed apps, and bloatware, you can feel confident when using Atlas."

Github link https://github.com/atlas-os/atlas

As a last hope you could backup your windows install and try installing Atlas OS on top, haven't tried it yet on Win11 but it should clear some process and ram for the game to run : https://atlasos.net/ MAKE SURE YOU BACKUP YOUR WINDOWS DISK FIRST. I'd recommand a software that you can launch on a USB stick instead of a program ran from Windows. I used https://www.easeus.com/backup-software/ but many others offer backups and PE USb bootable ISOs

Ok the whole story. My LLG started BSOD after doing a system restore because of a borked Handheld Companion install. So instead of using the recovery image I thought "now would be the perfect time to try out a vanilla Win 11 install and use AtlasOS” to see the difference it makes when it comes to gaming. So I download the drivers and Legion Space from Lenovo, Win 11 ISO, and AtlasOS files and I do think that it gave this beast some claws. It seems twice as fast as before without useless processes running in the background to bog things down. All the useless bloatware is gone and my LLG is running like a well oiled machine. I will run test later to compare but I think I have a winner here.

You can't, Windows >7 is a pain to have on a hard drive and will use 100% of it all the time. If you don't want to get an SSD, your best option is atlasos.net which isn't as good than getting an ssd but better than stock Windows.

AtlasOS turns Windows into a pure gaming OS. It removes all bloatware and system hog.

One modification that had a suprising effect was installing AtlasOS on top of Windows 11 using the AME wizard and Atlas playbook. https://atlasos.net/ - this produced an immediate and noticeable responsiveness improvement across the board. Before AtlasOS the mouse was still too slow even at the fastest setting in Windows. After AtlasOS everything was so much more responsive I had to slow down the mouse slightly because it was now moving so quickly and smoothly. I'm still a little dumbfounded by how good AtlasOS actually seems to be. But it's yet to be seen if whatever was gutted from Windows will cause issues down the line.

Apparently this one is optimized specifically for "AAA game" players and is frequently updated. I'm installing it now https://atlasos.net

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