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https://github.com/miapolis/vercel-wasm-runtime
A template project for building high-performance, portable, and safe serverless functions in Vercel.
https://github.com/miapolis/vercel-wasm-runtime
Last synced: about 1 month ago
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A template project for building high-performance, portable, and safe serverless functions in Vercel.
- Host: GitHub
- URL: https://github.com/miapolis/vercel-wasm-runtime
- Owner: miapolis
- Fork: true (second-state/vercel-wasm-runtime)
- Created: 2023-08-23T19:06:04.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-08-23T19:09:51.000Z (about 1 year ago)
- Last Synced: 2023-08-23T20:39:33.756Z (about 1 year ago)
- Homepage: https://thenewstack.io/rust-and-webassembly-serverless-functions-in-vercel/
- Size: 28.6 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## [Tutorial](https://thenewstack.io/rust-and-webassembly-serverless-functions-in-vercel/) | [Demo for image processing](https://vercel-wasm-runtime.vercel.app/) | [Demo for tensorflow](https://vercel-wasm-runtime-cozpr5z84-wangshishuo1.vercel.app/)
This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app).
This project is aimed to demonstrate how to implement a Serverless Functions working with Webassembly in Vercel. The [main branch](https://github.com/second-state/vercel-wasm-runtime/tree/main) showcases an image processing function, and the [tensorflow branch](https://github.com/second-state/vercel-wasm-runtime/tree/tensorflow) showcases an AI inference function. Both written in simple Rust and runs in the [WasmEdge runtime](https://github.com/WasmEdge/WasmEdge) for WebAssembly.
## Overview
The Serverless Functions endpoint is located at `api/hello.js` to meet the requirement of Vercel, but not to the Next.js. So if you want to develop on you local machine, you should put it into `pages/api/` and make some change.
The only function in `api/hello.js` is grayscaling an image. It receives a png file and pass it as stdin stream to a spawned child process. The child process runs using the [WasmEdge](https://github.com/WasmEdge/WasmEdge) command.
File `api/functions/image-grayscale/src/main.rs` implements the grayscaling logic. You can build it with the Rust `cargo` command with the `-target wasm32-wasi` option to get the `grayscale.wasm` file.
We define [Custom Build](https://vercel.com/docs/runtimes?query=vercel-build#advanced-usage/advanced-node-js-usage/custom-build-step-for-node-js) in `api/pre.sh` to download the [WasmEdge command](https://github.com/WasmEdge/WasmEdge/releases/tag/0.8.1).
![](/vercel-wasmedge-runtime.gif)
## Learn More
A code walk-through for this template project is available in [this tutorial on the TNS](https://thenewstack.io/rust-and-webassembly-serverless-functions-in-vercel/).
To learn more about Next.js, take a look at the following resources:
- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome!
To learn more about Serverless Functions in Vercel, take a look at the following resources:
- [Serverless Functions](https://vercel.com/docs/serverless-functions/introduction) - how to write your Serverless Functions.
- [Runtime](https://vercel.com/docs/runtimes) - the modules that lift Serverless Functions.## Deploy on Vercel
The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/import?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
Check out our [Next.js deployment documentation](https://nextjs.org/docs/deployment) for more details.