llrt VS workerd

Any plans to add support for? https://github.com/awslabs/llrt

It would also be nice to have a V8/deno/bun based edge hosting option that supports the Next.js edge and middleware code splitting. That's the missing piece for most homebrew "edge" setups. Production CDNs like Clouflare and Supabase all offer this.

Vlad Ionescu: Scaling containers on AWS in 2022 GitHub: awslabs/llrt AWS Documentation: Understanding the Lambda execution environment Amazon Science: How AWS's Firecracker virtual machines work Lumigo GitHub: MiddyJS

Its refreshing to see all the various JS engines that are out there for various usecases.

I have been working on providing quickjs with more node compatible API through llrt [1] for embedding into applications for plugins.

[1] https://github.com/awslabs/llrt

AWS has open-sourced its JavaScript runtime, called LLRT (Low Latency Runtime), an experimental, lightweight JavaScript runtime designed to address the growing demand for fast and efficient Serverless applications.

FROM --platform=arm64 busybox WORKDIR /var/task/ COPY app.mjs ./ ADD https://github.com/awslabs/llrt/releases/latest/download/llrt-container-arm64 /usr/bin/llrt RUN chmod +x /usr/bin/llrt ENV LAMBDA_HANDLER "app.handler" CMD [ "llrt" ]

Let’s get the simplest use case out of the way: cases where the cold starts are so fast that it’s not an issue for you. That’s usually the case for function that use runtimes such as C++, Go, Rust, and LLRT. However, you must follow the best practices and optimizations in every runtime to maintain a low impact cold start.

But compared to other runtimes, LLRT is not so good in terms of performance when it comes to dealing with large data processing, Monte Carlo simulations, or performing tasks with a large number of iterations. The AWS team says that it is best suited for working with smaller Serverless functions dedicated to tasks such as data transformation, real-time processing, AWS service integrations, authorization, validation, etc. Visit the GitHub repository of this project to learn more information.

And lastly, lean into your cloud vendor. Stop trying to build a better mouse trap. Advances in technology are happening all the time. The speed of AWS' Lambda has been rapidly improving over the past couple of years with the launch of things like SnapStart and LLRT

WorkerD isn't anywhere near a "cutdown version of Chromium," it is an incredible platform with years of engineering put into it, from some of the people behind very similar and successful products (GAE, Protocol Buffers, to name some).

WorkerD is open source: https://github.com/cloudflare/workerd

I personally am not a fan of Deno because of how it split the Node JS ecosystem, so that is not a benefit in my eyes. Of course, Workers can run Rust.

Nothing you said here necessitates an API difference.

You can't really run the Worker code without modifications somewhere else afaik (unless you're using something like Hono with an adapter). And for most use cases, you're not going to be using Workers without KV, DO, etc.

I've hit a bunch of issues and limitations with Wrangler over the years.

Eg:

https://github.com/cloudflare/workers-sdk/issues/2964

https://github.com/cloudflare/workerd/issues/1897

Workerd is a JavaScript & WebAssembly-based runtime that powers Cloudflare Workers and other related technologies. You can think of it like the Node.js runtime used to execute JavaScript files. Workerd has its differences from Node.js, however, you can self-host it on any machine.

Standards bodies only standardize things after they've been proven to work. You can't standardize a new idea before offering it to the market. It's hard enough to get just one vendor to experiment with an idea (it literally took me years to convince everyone inside Cloudflare that we should build Durable Objects). Getting N competing vendors to agree on it -- before anything has been proven in the market -- is simply not possible.

But the Durable Objects API is not complicated and there's nothing stopping competing platforms from building a compatible product if they want. Much of the implementation is open source, even. In fact, if you build an app on DO but decide you don't want to host it on Cloudflare, you can self-host it on workerd:

https://github.com/cloudflare/workerd

In any case, I welcome this initiative with my open hands and look forward all the cool apps that people will now build with this!

[1] https://pyodide.org/

[2] https://github.com/cloudflare/workerd/blob/main/docs/pyodide...

[3] https://github.com/cloudflare/workerd/pull/1875

For ref:

- https://blog.cloudflare.com/workerd-open-source-workers-runt...

- https://github.com/cloudflare/workerd

workerd

I think this is for people who want to run their own cloudflare workers (sort of) and since nobody wants to run full node for that, they want a small runtime that just executes js/wasm in an isolated way. But I wonder why they don't tell me how I can be sure that this is safe or how it's safe. Surely I can't just trust them and it explicitly mentions that it still has file IO so clearly there is still work I need to do customize the isolation further. But then they don't show any info on that core usecase. But then that's probably because they don't really want you to use this to run it on your own, they are selling you on running things on their edge platform called "Wasmer Edge". So that's probably why this is so light on information.. the motivation isn't to get you to use this yourself, just to use this their hosted edge platform. But then I wonder why I wouldn't just use https://github.com/cloudflare/workerd which is also open source. Surely that is fast enough? If not then it should show some benchmarks?