Refactoring Rust Lambda Functions + Handling AWS Rate Limit Errors - Episode 172

In this video, I walk you through updating and refactoring Lambda functions using Rust while tackling AWS rate limit errors in a step function. We focus on improving the error-handling mechanisms, including adding retry logic, backoff rates, and error-specific handling to create more robust serverless functions. Additionally, I demonstrate how to optimize Lambda functions by using Dockerized ECR images for more consistent deployments and better developer workflows.

During the session, we explore concepts like:
- Setting up tracing and logging with tracing subscriber.
- Refactoring long functions into manageable components.
- Configuring AWS Step Functions for error handling and retries using exponential backoff.
- Deploying Dockerized Rust Lambdas to AWS Elastic Container Repository (ECR).
- Debugging and testing Lambda outputs in AWS Step Functions.

This video is packed with insights into building scalable and error-tolerant serverless architectures using Rust, AWS Lambda, and step functions. Whether you're a beginner or experienced developer interested in Rust and AWS, there's something here for you. Stick around until the end as I also discuss my ongoing workflow improvements and considerations for tools like AWS CDK versus Pulumi.

🔗 Check out my Twitch channel for more streams: https://www.twitch.tv/saebyn
GitHub: https://github.com/saebyn
Discord: https://discord.gg/N7xfy7PyHs

Видео Refactoring Rust Lambda Functions + Handling AWS Rate Limit Errors - Episode 172 канала saebynVODs