wizer VS wrangler-legacy

> once by the wasm runtime to compile the rust-python wasm

I'm not sure what you mean by that. The runtime doesn't compile WASM, it simply executes it.

There are tools for dealing with interpreter runtime overhead this by pre-initalizing the environment like Wizer[0]. ComponentizeJS[1] uses it to pre-initialize the Spidermoney engine it packages to gain fast startup times (and you can then prune the initialization only code with wasm-opt). As techniques like ComponentizeJS are also being applied for a specific set of interpreted files, you can even prune parts of the interpreter that would never be used for that specific program. If you want to go even further you could record specific execution profiles and optimize further by those.

[0]: https://github.com/bytecodealliance/wizer

[1]: https://github.com/bytecodealliance/ComponentizeJS

Edge functions are typically run intermittently, with their runtime stopped to free up resources between runs. Therefore a big factor is startup and shutdown speed. Containers are pretty bad there. Deno is better, and WASM is unbeatable, especially with things like Wizer[0].

[0]https://github.com/bytecodealliance/wizer

I imagine startup cost could be amortized by something like wizer: https://github.com/bytecodealliance/wizer

There are security benefits to running each request in its own instance, as it helps prevent accidental leaking of state between requests. To avoid doing lots of expensive initializations, we have a tool called wizer which lets users run their program's initialization once, create a snapshot, and then use that snapshot to do fast startups that don't rerun the whole initialization each time.

See https://github.com/bytecodealliance/wizer for an implementation of this approach.

It should probably be named "Making JavaScript to startup fast on WebAssembly", since the runtime speed is not really improved by the approach they exposed.

Besides that I think Wizer [1] is both an elegant and a simple solution to speed up startup speed with Wasm.

[1] - https://github.com/bytecodealliance/wizer#using-wizer-as-a-l...

A similar project, for WebAssembly so with limited scope is this: https://github.com/bytecodealliance/wizer. And somehow similar but limited on LLVM IR a colleague worked on this for Cheerp (the compiler used here as backend): https://github.com/leaningtech/cheerp-meta/wiki/Cheerp-PreExecuter.

Recently, as a weekend hobby project, I created a Slack app development framework for Cloudflare Workers and Vercel Edge Functions.

Edge Runtime has become a buzzword in the technology landscape, driving dynamic, low-latency functions in platforms from AWS Lambda@Edge and Cloudflare Workers to Vercel Edge. Emphasizing its importance, Vercel recently changed "experimental-edge" to "edge", signaling official support in their popular Next.js framework.

It seems like the perfect usecase for Cloudflare Workers.

For this tutorial, I’ll use Cloudflare Workers as they’re really fast and easy to set up, but you can use pretty much any other serverless provider with support for JS.

Cloudflare has a wonderful serverless platform called Cloudflare Workers that allows you to write code without worrying about underlying hardware or software. Yesterday, they announced that Workers now have the ability to connect directly over TCP sockets. I want to use this feature to send an APRS packet to CWOP.

Sounds doable with Cloudflare Workers