console VS delve

tokio-console is a debugger for Rust async programs that use Tokio. To get started, add the console-subscriber crate to your project and add the following line which will initialise the subscriber and allow tokio-console to connect to it:

You could try https://github.com/tokio-rs/console to debug and profile what happens with tokio tasks in your program.

The tokio-console CLI is a fun one. The console-subscriber supports shipping to a console server running elsewhere, apparently. That gives you a window into what's happening now.

Tokio console maybe? https://github.com/tokio-rs/console

If I add "console_subscriber::init()" line as https://github.com/tokio-rs/console recommends, tracing_subscriber cannot be initialized.

I'm building an HTTP load tester called pdc! I have run out of obvious (to me at least) places to look for performance gains. I'm achieving around 45,000 requests per second, per core. Right now I'm using hyper with a separate tokio runtime (in current thread mode) running on each core. So far having runtime on each core/NUMA node has really helped with cache coherency. Any recommendations for profiling beyond tokio console or tokio metrics (Convenient timing amirite!)?

It was just an accident and has been fixed https://github.com/tokio-rs/console/issues/270.

P.S. Tokio [now also has Tokio Console](https://github.com/tokio-rs/console) allowing you to conveniently troubleshoot your tasks if they are causing issues :)

You can opt-in to async runtime such as tokio, and you can use tokio-rs/console for it's top-like metric

At a recent job, we had slightly different containers for local dev; our backend containers (for a Go app) had Air [1] installed for live reloading, plus Delve [2] running inside the container for VS Code's debugger to connect to. We also had a frontend container for local dev, which didn't get deployed as a container, just as static files.

[1] https://github.com/cosmtrek/air

[2] https://github.com/go-delve/delve/

https://github.com/go-delve/delve/releases/tag/v1.21.2 Thanks Derek and the rest of the team for helping us to debug in a normal way!

My employer has a commercial solution for this but Delve does supports `rr` traces natively for this purpose, which gives a complete open-source solution (https://github.com/go-delve/delve/blob/master/Documentation/usage/dlv_replay.md).

delve and related IDE integrations

For time travel debugging in Go:

The Delve debugger for Go supports debugging rr traces: https://github.com/go-delve/delve/blob/master/Documentation/...

Undo (who I work for) maintain a fork that debugs our LiveRecorder recordings: https://docs.undo.io/GoDelve.html

Either rr (https://rr-project.org/) or our UDB debugger (https://undo.io/solutions/products/udb/) can do some time travel debugging of Go programs via GDB's built-in support for Go. I believe its weakness is in support for goroutines, since they don't map well onto its idea of how programs run.

So in my case I use https://github.com/leoluz/nvim-dap-go (which itself calls out to the CLI tool https://github.com/go-delve/delve).

Clone https://github.com/go-delve/delve.git