Rewriting in Rust + Being a Learning Machine with AJ Stuyvenberg

Rewriting in Rust + Being a Learning Machine with AJ Stuyvenberg

Author: Software Huddle May 6, 2025 Duration: 1:21:36
Today's guest is AJ Stuyvenberg, a Staff Engineer at Datadog working on their Serverless observability project. He had a great article recently about how they rewrote their AWS Lambda extension in Rust. It's a really interesting look at a big, hard project, from thinking about when it's a good idea to do a rewrite to talking about their focus on performance and reliability above all else and what he thinks about the Rust ecosystem. Beyond that, AJ is just a learning machine, so I got his thoughts on all kinds of software development topics, from underrated AWS services and our favorite databases to the AWS Free Tier and the annoyances of a new AWS account. Finally, AJ dishes out some career advice for curious, ambitious developers.

Every week on Software Huddle, Alex DeBrie and Sean Falconer sit down with a different expert from across the tech landscape. The conversations are less about quick tips and more about substantive discussions, digging into the real challenges and decisions behind building software, launching products, and navigating the industry's constant shifts. You'll hear from practitioners who have been in the trenches, offering perspectives that blend deep technical knowledge with hard-won business and entrepreneurial experience. Alex brings his specialized expertise as the author of The DynamoDB Book and an AWS Data Hero, while Sean contributes a unique viewpoint shaped by over two decades as an engineer, founder, and marketing executive, recognized as a Snowflake Data Superhero. Together, they create a space where complex topics in software development and technology trends become accessible and genuinely engaging. This podcast is for anyone who wants to move beyond surface-level news and understand the "why" behind the tools and strategies shaping our digital world. Tune in for a thoughtful huddle that feels more like a candid conversation between colleagues than a formal interview.
Author: Language: en-us Episodes: 79

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