Refactoring Rust Lambda Functions + Handling AWS Rate Limit Errors - Episode 172
6In 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.
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