mirage VS tracing

Interesting, and thanks.

I didn't know about those. I kind of thought you may have used MirageOS, which I had read about earlier. It is done in OCaml.

https://mirage.io/

Unix system programming in OCaml (2014)

https://ocaml.github.io/ocamlunix/

"MirageOS is a library operating system that constructs unikernels for secure, high-performance network applications across a variety of cloud computing and mobile platforms."

https://mirage.io/

That was/is part of the promise of the whole unikernel thing, no?

https://mirage.io/ or similar could then let you boot your database. That said, it's not really taken off from what I can tell, so I'm guessing there's more to it than that.

MirageOS is not Rust, but in the ballpark!

https://mirage.io/

OCaml MirageOS? https://mirage.io/

MirageOS is a runtime for OCaml to create unikernels. They describe themselves as "library operating system". Probably not quite what you were asking for, but I think it's quite interesting for certain use cases (e.g. running services as standalone unikernels in VMs or embedded devices instead of "traditional" programs on top of a general purpose OS).

The video description is as follows:

In this stream, we peel back the crust on the tracing crate — https://github.com/tokio-rs/tracing/ — and explore its interface, structure, and mechanisms. We talk about spans, events, their attributes and fields, and how to think about them in async code. We also dig into what subscribers are, how they pick up events, and how you can construct your own subscribers through the layer abstraction. For more details about tracing, see https://docs.rs/tracing/latest/tracing/.

> What's been your biggest issues around ergonomics/amenities for OpenTelemetry?

I can't speak generally, but in the Rust ecosystem the various crates don't play well together. Here's one example: <https://github.com/tokio-rs/tracing/issues/2648> There are four crates involved (tracing-attributes, tracing-opentelemetry, opentelemetry, and opentelemetry-datadog) and none of them fit properly into any of the others.

The tracing (logging) mechanism in an asynchronous codebase (tracing).

Tracing is Tokio's alternative for async code.

At a technical level, in Rust, both [tracing]https://crates.io/crates/tracing) and log are entire ecosystems (though for the latter at least there's also third party logging frameworks), and there's at least a bridge from log to tracing.

I am using https://github.com/tokio-rs/tracing for logging purposes in my application. I would like to develop a feature wherein logs should be saved to a database table (via sea-orm). Something similar is this, but it does not solve my needs fully.

I've used the tracing infrastructure with tracing_flame to profile some hot paths in async code: https://github.com/tokio-rs/tracing/tree/master/tracing-flame

Oh nice! IIRC when I checked, it was the Unicode tables that smashed the code size. I recently hit the same issue with the tracing crate, where a crate feature (for env var filtering) pulled in regex and my binary was suddenly 1MB bigger.

I know about tools such as tracing, jaeger or tracy. While having a complete tracing could be a potential solution, these tools don't work with no_std.

tracing by itself only outputs log data, you need to consume them in a subscriber, the tracing-subscriber crate exists for this. (example)