llfio VS tracy

The reference library can be found at https://ned14.github.io/llfio/

Thanks for the suggestions, which I have transposed into https://github.com/ned14/llfio/issues/106

There was an effort to get an afio library accepted into boost in the past. I believe the most current work on that library is happening here nowadays : https://github.com/ned14/llfio I'm not sure if it is considered production-ready or not. But I couldn't see any mention of it in the replies so I figured I would fix that!

It has an implementation: LLFIO

I'm a fan of Interprocess, used it for over a decade. But for mmapping I've switched to LLFIO and recommend it highly. (Plugging so Niall doesn't have to.)

Since that post, I have the reference implementation library very nearly passing its test suite https://github.com/ned14/llfio/pull/89. Once it's done I'll start very slowly writing its proposal paper for WG21 SG4. Should land before this summer.

FYI it doesn't solve quite what you're solving, but I've been careful to ensure https://github.com/ned14/llfio works well on Freestanding and < 64 Kb microcontrollers and I know Victor has been careful to ensure a good subset of std::format could work well on embedded. In other words, the i/o story for embedded C++ may improve greatly in the next few years.

If you want stronger guarantees than iostreams can give you, either use the OS-specific calls or a wrapper of said calls (e.g. https://github.com/ned14/llfio, disclaimer I'm the owner of that). Note that even in LLFIO, there is no concept of "seek to the end" because that's racy so we don't implement that. All you get is atomic append, otherwise you're on your own to coordinate what "end of file" means.

i don't really think there is _anything_ that comes even close to tracy https://github.com/wolfpld/tracy.

on top of this, given google's penchant for dumping projects aka abandonware, this would be an easy pass.

The RemedyBG debugger (https://remedybg.handmade.network/) and the Tracy profiler (https://github.com/wolfpld/tracy) both use Dear ImGui and so far I've only read high praise from people who used those tools compared to the 'established' alternatives.

For tools like this, programmers are also just "normal users", and from the developer side, I'm sure they evaluated various alternatives with all their pros and cons before settling for Dear ImGui.

Not the person you asked, but generally you might want to look at "frame-based" profilers. These are typically used in video games, but the concept is general, and can apply to other applications. The "frame" could also be something like a request or transaction being processed. I like Tracy[1], myself.

Another latency metric that you'll see, often w/respect to web apps and microservices is "P99" and similar. This is the amount of time in which 99% of requests get their response. For a higher percentile, you get a better idea of worst-case performance.

[1] https://github.com/wolfpld/tracy

I've not actually used Superluminal, but I use Tracy for similar reasons. It's free though (and, importantly, open source).

For profiling, you can check tracy.

You could try Tracy

There is no such thing as overengineering in fun projects, so I've also adopted Tracy as profiling solution. Works quite nice and gonna save me plenty of times in the future debugging performance spikes on badly optimized math heavy operations.

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.