tower VS workers-rs

This question is partially inspired by this PR which is kinda trying to do the same thing.

dd-trace-layer is a middleware for sending Datadog's trace. It's based on Tower and OpenTelemetry Rust.

I'm pretty sure that GCP's APIs (unlike AWS, which uses Smithy for very genuinely, very good reason) are defined using Protobuf and can be communicated with over gRPC, which means that you don't need to bind via cxx to GCP's C++ APIs. Take a look at this example using Tonic. If you're to use Tonic, you'll also be able to use Tower's middleware (main crate, http-specific) to implement retries, timeouts, tracing, and all the other things you need to be production-ready.

#[derive(Clone)] struct MyMiddleware { inner: S, } impl Service> for MyMiddleware where S: Service, Response = Response> + Clone + Send + 'static, S::Future: Send + 'static, { type Response = S::Response; type Error = S::Error; type Future = BoxFuture<'static, Result>; fn poll_ready(&mut self, cx: &mut Context<'_>) -> Poll> { self.inner.poll_ready(cx) } fn call(&mut self, mut req: Request) -> Self::Future { println!("before"); // best practice is to clone the inner service like this // see https://github.com/tower-rs/tower/issues/547 for details let clone = self.inner.clone(); let mut inner = std::mem::replace(&mut self.inner, clone); Box::pin(async move { let res: Response = inner.call(req).await?; println!("after"); Ok(res) }) } } fn main() { let app = Router::new() .route("/", get(|| async { /* ... */ })) .layer(layer_fn(|inner| MyMiddleware { inner })); }

For this tutorial, we're going to use apalis to run cron jobs in an async context. We will also look at how to decorate our jobs with tower middleware allowing us to unlock features like retries, prometheus, sentry etc

So I have now had a look at Axum and think I will give it a try. In the readme in the repository it says something about tower or tower::Service and tonic, what exactly is that? I do not understand that yet.

Better compatibility with tower ecosystem.

ratpack is idealized in the simplicity of the sinatra (ruby) framework in its goal, and attempts to be an alternative to other async HTTP frameworks such as tower, warp, axum, and tide.

i would browse the standard library, tower, nom, or my own bitvec to see layout and trait/record separation. in particular, std::io and std::net may be of use: io::Read and io::Write are pervasive examples of implementing unixy file-descriptor-like behavior in the type system

We're not there yet. I keep an eye on Tower which looks promising to build on top of. And I keep an eye on MoonZoon (full stack framework, unashamedly opinionated!).

- The speed of the Python interpreter running in WebAssembly

Today, Python cold starts are slower than cold starts for a JavaScript Worker of equivalent size. A basic "Hello World" Worker written in JavaScript has a near zero cold start time, while a Python Worker has a cold start under 1 second.

That's because we still need to load Pyodide into your Worker on-demand when a request comes in. The blog post describes what we're working on to reduce this — making Pyodide already available upfront.

Once a Python Worker has gone through a cold start though, the differences are more on the margins — maybe a handful milliseconds, depending on what happens during the request.

- There is a slight cost (think — microseconds not milliseconds) to crossing the "bridge" between JavaScript and WebAssembly — for example, by performing I/O or async operations. This difference tends to be minimal — generally something measured in microseconds not milliseconds. People with performance sensitive Workers already write them in Rust https://github.com/cloudflare/workers-rs, which also relies on bridging between JavaScript and WebAssembly.

- The Python interpreter that Pyodide provides, that runs in WebAssembly, isn't as fast as the years and years of optimization that have gone into making JavaScript fast in V8. But it's still relatively early days for Pyodide, compared to the JS engine in V8 — there are parts of its code where we think there are big perf gains to be had. We're looking forward to upstreaming performance improvements, and there are WebAssembly proposals that help here too.

Not yet, but we're working on that https://github.com/cloudflare/workers-rs/pull/324

I'm also in the Workers org but I have had a bit of interaction with Rust. There's some Rust in the Workers runtime using lol-html for HTMLRewriter as well as some tooling and there's the full blown workers-rs framework that I work on, but that's about it for the Rust I work on regularly.

I'm an engineer at Cloudflare working on Workers (and a maintainer of workers-rs) and I'd love to help whoever ends up maintaining this get that PR rewriting it in Rust across the line.

GitHub - cloudflare/workers-rs: Write Cloudflare Workers in 100% Rust via WebAssembly

I never said it was, but thankfully nowadays there are plenty of other tools that are fast enough to keep the dev cycle quick. Personally esbuild is my go-to when I need a bundler but I've grown really fond of SWC native api, we used to use it at work for our wasm build tool for our workers-rs framework.

There's actually a rust framework for Workers https://github.com/cloudflare/workers-rs

I'm a maintainer of the of the Cloudflare workers-rs project to allow you to write serverless functions in Rust running as WASM in our V8-based runtime. There's certainly some rough spots (doesn't have complete parity with our default JS runtime apis), but if you're concerned with cold start times and you don't need a full containerized environment I think it's a solid choice.

Most likely, it should, we just haven't had the time to fully implement it or add a library to wrap the FFI. Please let us know you need a feature by opening an issue.

I may be biased, as the original project author, but I’d recommend using Cloudflare Workers https://github.com/cloudflare/workers-rs - totally free their with very generous limits.