A production-oriented Rust backend service for managing newsletter subscriptions and email delivery, built with async execution, explicit failure handling, and observability in mind.
- Overview
- Features
- Architecture & Design Decisions
- Getting Started
- Operational Considerations
- Acknowledgements
This project implements a production-grade newsletter backend in Rust. It is designed to handle:
- Subscription management
- Confirmation workflows
- Async email delivery
- Observability and logging
- Fault-tolerant, predictable behavior under load
This project prioritizes correctness, explicit failure handling, and predictable performance over rapid iteration.
It is intended to demonstrate how to build robust, production-ready systems in Rust, suitable for real-world workloads.
- Async HTTP APIs for subscription management
- Persistent storage via PostgreSQL
- Background tasks for email delivery
- Structured logging and observability hooks
- Integration and unit tests for critical workflows
- Idempotent operations to prevent duplicate emails
- Async-first design: All IO operations use
tokioasync runtime for scalability. - Application state container: Shared resources (DB pool, configuration) wrapped in
Arcfor safe concurrent access. - Error handling strategy: Explicit
Resulttypes; errors are logged and surfaced to observability system. - Background email delivery: Tasks are scheduled asynchronously, with retry logic for failed sends.
- Idempotency: Subscription endpoints ensure duplicate requests do not result in multiple emails.
- Test strategy: Unit tests for core logic; integration tests for DB and email delivery flows.
- Extensions beyond reference architecture: Added idempotency, retry logic, and observability hooks to simulate real production requirements.
- Rust 1.72+
- PostgreSQL
- Cargo &
rustfmt/clippyfor linting .envfile for configuration (DB URL, email credentials)
git clone https://github.com/yourusername/newsletter-service.git
cd newsletter-service
cargo build
## Acknowledgements
Initial architecture and learning reference inspired by *Zero to Production in Rust* by Luca Palmieri.
All design decisions, implementations, and enhancements beyond the reference were made independently to reinforce understanding and simulate production constraints.