Learn to Build Reliable and Efficient Software in Rust

Original: https://codingcat.dev/podcast/1-48-learn-to-build-reliable-and-efficient-software-in-rust

▶ Watch on YouTube & Subscribe to CodingCat.dev

**Learn to Build Reliable and Efficient Software in Rust **is a CodingCat.dev podcast episode featuring Chris Biscardi alongside Alex Patterson and Brittney Postma focused on Rust, AWS, Netlify. We sit down and chat about Rust and Chris Biscardi's new Rust workshop, Rust Adventure. 1.48 - Learn to Build Reliable and Efficient Software in Rust: https://codingcat.dev/podcast/1-48-learn-to-build-reliable-and-efficient-software-in-rust Watch the full video breakdown on YouTube or explore the architectural notes, chapters, and official documentation links below.

Questions

1. How would you describe Rust?
   1. Memory Safe
   2. General Purpose
2. What is Learn to build reliable and efficent software in Rust all about? https://www.rustadventure.dev/?ck_subscriber_id=1138053038
3. What Clouds Support Rust for Lambda/Cloud Functions?
   1. Netlify - https://www.netlify.com/blog/2021/10/14/write-netlify-functions-in-rust/
   2. Google Cloud (doesn't appear to support) - https://cloud.google.com/functions/docs/writing
   3. AWS Lambda - https://aws.amazon.com/blogs/opensource/rust-runtime-for-aws-lambda/
4. What is Rust's version of NPM?
   1. Cargo - https://crates.io/
5. Compare Go to Rust Checkout this Discord Article - https://discord.com/blog/why-discord-is-switching-from-go-to-rust

Technical Overview: Learn to Build Reliable and Efficient Software in Rust

1.48 - Learn to Build Reliable and Efficient Software in Rust: https://codingcat.dev/podcast/1-48-learn-to-build-reliable-and-efficient-software-in-rust

When applying the concepts from Learn to Build Reliable and Efficient Software in Rust in a production codebase, teams working with Rust, AWS, Netlify should align their implementation with the The Rust Programming Language Book (Ownership, memory safety, Cargo, and systems programming). Structuring your workflow around repeatable patterns, automated verification, and clear separation of concerns helps prevent regressions as your application scales.

Key Engineering Takeaways

• **Core Topic Focus: **Practical strategies for Rust, AWS, Netlify covered in "Learn to Build Reliable and Efficient Software in Rust" (We sit down and chat about Rust and Chris Biscardi's new Rust workshop, Rust Adventure.).
• **Production Implementation: **Combine the architectural patterns demonstrated in this podcast with the official The Rust Programming Language Book for type safety, performance, and long-term maintainability.
• **Hands-On Video Walkthrough: **Follow along with the live coding demos and discussion on YouTube (Learn to Build Reliable and Efficient Software in Rust) and subscribe to CodingCat.dev on YouTube for weekly deep dives.

Resources, Links & Official Documentation

• *Watch on YouTube: *Learn to Build Reliable and Efficient Software in Rust Full Video (plus Subscribe to CodingCat.dev)
• *Show Pick: *Builder.io (picked by Alex Patterson)
• *Show Pick: *Svelte Summit Fall (picked by Brittney Postma)
• *Show Pick: *Townscaper (picked by Chris Biscardi)
• Chris Biscardi Guest Profile & Episodes on CodingCat.dev
• Chris Biscardi on GitHub
• The Rust Programming Language Book: Ownership, memory safety, Cargo, and systems programming
• AWS Documentation & Builder Center: Cloud architecture, serverless compute, IAM, and managed services
• Netlify Documentation: Jamstack deployments, edge functions, and build automation

Related CodingCat.dev Tutorials & Podcast Episodes

• Angular CLI Deploying: Demonstrating how to quickly deploy using Angular CLI to 6 places. Then how to setup CI/CD in Azure, AWS, and Google Cloud Platform.
• Running the Cloud on Your Desktop with LocalStack: Tired of AWS running in the cloud, how about right on your desktop?
• Building Successful Open Source Projects: I chatted with Brian (aka bdougie) about Hacktoberfest, building OpenSauced, and making successful open-source projects.

Frequently Asked Questions (FAQ)

What are the main takeaways from Learn to Build Reliable and Efficient Software in Rust?

We sit down and chat about Rust and Chris Biscardi's new Rust workshop, Rust Adventure. 1.48 - Learn to Build Reliable and Efficient Software in Rust: https://codingcat.dev/podcast/1-48-learn-to-build-reliable-and-efficient-software-in-rust Throughout this podcast, Chris Biscardi breaks down real-world implementation details for Rust, AWS, Netlify so developers can apply these patterns directly in production.

How do you implement Rust best practices in production?

When adopting Rust and AWS in a production stack, start by validating your configuration against the The Rust Programming Language Book (Ownership, memory safety, Cargo, and systems programming). Focus on incremental adoption, automated testing, and observability so your team can measure performance and developer velocity improvements at each stage.

Where can I watch the full Learn to Build Reliable and Efficient Software in Rust walkthrough and find related code resources?

You can watch the complete video session for Learn to Build Reliable and Efficient Software in Rust on the CodingCat.dev YouTube channel. For a deeper dive into Rust, check out our related guide: Angular CLI Deploying.