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Maestro, a Linux compatible kernel written in Rust. (blog.lenot.re)

submitted 10 months ago by Gemini24601 to c/technology

77 comments fedilink hide all child comments

Enter Maestro, a unix-like monolithic kernel that aims to be compatible with Linux in order to ensure wide compatibility. Interestingly, it is written in Rust. It includes Solfége, a boot system and daemon manager, maestro-utils, which is a collection of system utility commands, and blimp, a package manager. According to Luc, it’s creator, the following third-party software has been tested and is working on the OS: musl (C standard library), bash, Some GNU coreutils commands such as ls, cat, mkdir, rm, rmdir, uname, whoami, etc… neofetch (a patched version, since the original neofetch does not know about the OS). If you want to test it out, fire up a VM with at least 1 GB of ram.

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[–] hperrin 84 points 10 months ago* (last edited 10 months ago) (1 children)

Yes, it is inherently safer than C. Unless you write code in an unsafe block, Rust will handle many aspects of memory allocation and management for you, and ensure their safety. It is memory safe and thread safe by default.

C doesn’t have any of these safety checking features, so it would be equivalent to unsafe Rust, but all the time. It lets you do whatever you want with pointers for example, including making them point outside of the memory bounds. In program code, this will cause an illegal memory access exception, but in kernel code, all memory access is legal. Therefore, you could write a driver that accidentally overwrites the kernel’s own code in memory. That would likely cause a kernel panic and bring the whole system down. Whereas, in Rust, you can only do that within an unsafe code block.

[–] wikibot 9 points 10 months ago

Here's the summary for the wikipedia article you mentioned in your comment:

Thread safety is a computer programming concept applicable to multi-threaded code. Thread-safe code only manipulates shared data structures in a manner that ensures that all threads behave properly and fulfill their design specifications without unintended interaction. There are various strategies for making thread-safe data structures.A program may execute code in several threads simultaneously in a shared address space where each of those threads has access to virtually all of the memory of every other thread. Thread safety is a property that allows code to run in multithreaded environments by re-establishing some of the correspondences between the actual flow of control and the text of the program, by means of synchronization.

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