Scott and Wes chat with Richard Davison from AWS about LLRT, a new runtime tailored specifically for Lambda. They dive into the benefits of using LLRT, challenges with JavaScript in serverless, and why Rust was chosen for its development.
Show Notes- 00:00 Welcome to Syntax!
- 01:07 Who is Richard Davison?
- 05:11 What is LLRT and what’s the motivation for building it?
- 08:25 AWS Lambda example.
- 11:20 What makes LLRT specifically tailored to Lambda?
- 14:55 Brought to you by Sentry.io.
- 15:22 Node.js in Lambda.
- 16:00 What are some challenges that people have with JavaScript in serverless?
- 17:20 Lambda memory configuration.
- 19:23 Managing cost of compute.
- 21:29 Simpler and faster than Node, Bun, Dino, but not a replacement.
- 22:31 The benchmarks.
- 27:00 Quick.js, the main reason for the performance gains.
- 28:03 The Quick.js engine.
- 30:35 What was the reason behind creating Quick.js?
- 33:46 What made you pick Rust for LLRT?
- 36:34 Abstractions and the value of speed.
- 39:08 The JIT Compiler.
- 42:38 Compile cache.
- 43:27 De-optimizations.
- 44:59 Node.js Compat, what to use and avoid with LLRT.
- 47:52 Will you target with WinterCG spec?
- 50:22 Streams API.
- 52:06 What about WebSockets?
- 53:10 Is this going to be promoted from a labs project?
- 54:49 Sick Picks + Shameless Plugs.
- Richard: QuickJS Engine, JSLinux.
- Richard: Javascript
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