A developer built an API in Go to manage files on Amazon S3, solving a real-world problem by automating image hosting for their blog. This project provided an opportunity to deepen their skills in the AWS ecosystem, focusing on security, automation, and integration. The API handles uploads, bucket management, and streaming downloads.

The project uses Docker for containerization, ensuring consistent operation across different environments. The architecture follows the Clean Architecture principles, separating concerns into distinct layers. Features include single and multiple uploads, paginated listings, and secure access via presigned URLs. They also implemented key technical decisions such as UUID v7 for file names and streaming for download functionality.

Key technical highlights include structured logging and a timeout middleware for resilience. Furthermore, the project uses dependency injection, facilitating modularity and easy testing. The developer also integrated GitHub Actions for CI, running tests on every push. This approach ensures code quality and reduces the risk of regressions, keeping the main branch stable.

To ensure security, the developer centralized configuration and employed IAM Roles. They also used semantic errors and implemented robust testing. The project's codebase is available on GitHub, offering a practical example of building a production-ready API for S3 file management with Go.