wizer VS e2core

> 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.

> If one writes Go or Rust, there are much better ways to run them than targeting WASM

wasm has its place, especially for contained workloads that can be wrapped in its strict capability boundaries (think, file-encoding jobs that shouldn't access anything else but said files: https://news.ycombinator.com/item?id=29112713).

> Containers are still the defacto standard.

wasmedge [0], atmo [1], krustlet [2], blueboat [3] and numerous other projects are turning up the heat [4]!

[0] https://github.com/WasmEdge/WasmEdge

[1] https://github.com/suborbital/atmo

[2] https://github.com/krustlet/krustlet

[3] https://github.com/losfair/blueboat

[4] https://news.ycombinator.com/item?id=30155295

One of the first things we've used it for internally is to run one-off isolated tests on WebAssembly modules instead of feeding them through a production Atmo[0] instance. It basically serves as a dumb pipe for feeding data in and out of a Wasm module.

0: https://github.com/suborbital/atmo

Excited to see Atmo on there 🙂 https://github.com/suborbital/atmo

My open source focus for this year is building Atmo, and there is one aspect of the process that I would like to highlight. Since early 2020 I knew roughly what I wanted to build. The specifics of that thing changed over time, but the core idea of a server-side WebAssembly platform was consistent all throughout the year. I didn't write a single line of code for Atmo until late October, even though that was what I wanted to build the entire time. I want to talk about why.

I am also open to any and all contributions from the community. I am more than happy to meet with anyone interested in working alongside me to build these capabilities so that I can help get you started developing Atmo, Vektor, Grav, Hive, and Subo. Developers with no experience working with WebAssembly, distributed systems, web services, or Go are encouraged to join and I will do whatever I can to help you learn what's needed to contribute. Open Source is not just about developing in the open, it's also about helping others learn.

With SUFA systems, multiple ASGs are created, each designated as a capability group. Each capability group is given access to the resources required for the associated function namespace to operate (such as the datastore or secrets), and can then scale independently of one another. Since the application's functions are decoupled entirely from one another, it's possible for some functions to run on the host that receives the request, and functions from particular namespaces to be meshed into other capability groups. A SUFA framework such as Atmo is responsible for handling the meshed communication, completely absorbing the complexity.

The SUFA pattern was designed in concert with Atmo, which is an all-in-one framework upon which SUFA systems can be built. Atmo uses a file known as a 'Directive' to describe all aspects of your application, including how to chain functions to handle requests. You can write your functions using several languages to be run atop Atmo, as it is built to use WebAssembly modules as the unit of compute. Atmo will automatically scale out to handle your application load, and includes all sorts of tooling and built-in best practices to ensure you're getting the best performance and security without needing to write a single line of boilerplate ever again.