bottlerocket VS rust-analyzer

According to this discussion - starting with Bottlerocket 1.13.0 (Mar 2023) new distributions will default to using Cgroups v2 interface for process organization and enforcing resource limits.

Well, the link I provided references the Bottlerocket docs which explains the control container and the admin container and also how you can configure Bottlerocket via the User Data field when launching it as an AMI. All the information appears to be in the docs

https://github.com/bottlerocket-os/bottlerocket/blob/develop...

On the server-side, there's Bottlerocket OS [1] (Amazon). They use A/B partitions for upgrades, and the idea is that you just run containers for anything non-base. Boot containers are used to do custom configuration at boot, and host-container (or DaemonSet, if you run K8S) is used for long-running services.

[1] https://github.com/bottlerocket-os/bottlerocket

Bottlerocket OS.

To add to the other excellent answers, I would recommend adding Bottlerocket to your reading list: https://github.com/bottlerocket-os/bottlerocket#readme

I'm also aware of (but haven't used) https://github.com/siderolabs/talos#readme

I just realized your question may have implied a desktop os, whereas Bottlerocket, Flatcar, and likely the others in this specific thread are server-side. I don't have much experience with trying to solve that problem on the desktop except for the horror-show that is snap

https://github.com/bottlerocket-os/bottlerocket/issues/2855 soon for bottlerocket, maybe you’ll see Amazon Linux 2023 for eks nodes soon too?

I think open sourcing for free labor is a common misconception. Most corporate led open source projects (eg, https://github.com/bottlerocket-os/bottlerocket from AWS or https://github.com/facebook/relay from Facebook) still require a team of employees.

Bottlerocket might be worth a look. https://github.com/bottlerocket-os/bottlerocket

go build 3.62s user 0.76s system 171% cpu 2.545 total

I was looking forward to parallel front-end[4], but I have not seen any improvement for these small changes.

[1]: https://github.com/rust-lang/rust-analyzer

For example, intelephense can show diagnostics in real time, there is no need to save the file to get new diagnostics. But rust-analyzer, the language server for rust, can only update diagnostics after saving the file.

6. Rust Analyzer

The rust-analyzer readme suggests you go here for support request. But even there, you'll need to provide more details to get useful help.

For example: https://github.com/rust-lang/rust-analyzer/blob/master/docs/...

> If you create an LSP, it will work best in VS Code.

Any editor can work just as well as (or even better than) VS Code.

So, apparently the reason why rust-analyzer, the LSP server for Rust does not have persistent caching is because it would make "optimizing initial passes less important".

All I want to know is: Will it have a build configuration pulldown?

I am not a Rust dev. It surely looks great.

However, from what I understand it seems to supply just a parser separate from the Rust compiler (https://github.com/rust-lang/rust-analyzer/tree/master/crate...) trying to keep up with Rust‘s development. So, in principle, it could have been just another treesitter parser plugin, too.

So, again, the LSP framework does not directly provide any magical benefit over a static parsing framework. All the semantic analysis capabilities stem from a good parser.

rust-analyzer > manual > helix > binary > rustup component add rust-analyzer