Project Overview

The project involved migrating an AWS-based serverless web service from Go to Rust to enhance performance, reliability, and maintainability. Initially, the service was developed as a prototype using Go, running as an AWS Lambda function and exposed via AWS API Gateway. It interacted with various AWS services through the AWS SDK for Go, providing essential backend functionality in a serverless environment.

With the transition to Rust, the service was rewritten to leverage Rust’s robust performance characteristics, strong memory safety guarantees, and modern asynchronous programming capabilities. The new implementation utilizes the AWS SDK for Rust to communicate seamlessly with AWS services while employing a custom AWS Lambda handler tailored for Rust’s efficient execution model. Additionally, Tokio, Rust’s premier asynchronous runtime, was incorporated to optimize Async I/O operations, ensuring high throughput and low latency.

This migration resulted in significant performance gains, reducing execution time and resource consumption. Furthermore, Rust’s strict type system and memory safety features improved the service’s reliability by eliminating entire classes of potential runtime errors, such as data races and null pointer dereferences. The enhanced maintainability of the Rust codebase also made it easier to scale and extend the service, providing long-term benefits for development and operational stability.

About the Client

A global leader in e-commerce, cloud computing, and technological innovation, serving millions of customers worldwide. With a vast digital and physical infrastructure, they operate one of the most sophisticated logistics and fulfillment networks. Their commitment to automation, artificial intelligence, and scalable cloud solutions has revolutionized multiple industries, from retail and entertainment to enterprise computing. By continuously innovating and optimizing their operations, they set the standard for efficiency, reliability, and customer-centric solutions on a global scale.