Production-Ready E-Commerce Platform built with Domain-Driven Design and Clean Architecture.
TorabiHoney is a production-ready e-commerce platform designed with Domain-Driven Design principles and Clean Architecture. The project focuses on building reliable and maintainable software through thoughtful architectural decisions, including Domain Events, the Outbox Pattern, background processing services, and a Persian-optimized full-text search system with zero-downtime index updates.
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Started designing the project's architecture and business domains.
Completed the initial implementation of the backend and domain model.
Implemented the multi-channel notification infrastructure and asynchronous processing mechanisms.
Designed and implemented dedicated background processing services for business operations.
Redesigned parts of the domain model to improve maintainability and performance characteristics.
Completed the API layer including validation, versioning, and error handling mechanisms.
Completed the responsive and SEO-optimized frontend implementation.
Migrated the application's database infrastructure from SQL Server to PostgreSQL.
Implemented a Persian-optimized full-text search solution with zero-downtime index updates.
Completed the Docker-based deployment infrastructure.
Performed testing and addressed issues identified during pre-production deployment.
Successfully deployed the project to the production environment.
The primary goal of TorabiHoney was not only to build an e-commerce platform but also to design a maintainable and production-ready software architecture from the beginning. The project emphasizes balancing Domain-Driven Design principles, application performance, infrastructure costs, and long-term maintainability. Throughout its development, several architectural decisions evolved, including redesigning parts of the domain model, migrating from SQL Server to PostgreSQL, adopting a Persian-optimized full-text search solution, and implementing reliable asynchronous processing mechanisms for notifications and background operations.
A multi-channel notification system supporting email, SMS, and in-app messages with delivery tracking, retry capabilities, templates, and asynchronous processing.
A Persian-optimized search solution supporting full-text search, autocomplete, filtering, pagination, sorting, and zero-downtime index updates.
A dedicated background processing infrastructure responsible for notifications, search indexing, discount management, and order lifecycle operations.
A carefully designed domain model focused on maintainability, business requirements, and balancing architectural patterns with performance considerations.
Versioned REST APIs with rate limiting, standardized response models, and comprehensive validation and error handling mechanisms.
A server-side rendered frontend optimized for SEO, metadata generation, and responsive user experiences using modern web technologies.
Designing a domain model that satisfies business requirements while balancing DDD principles, EF Core limitations, application performance, and long-term maintainability required multiple redesign iterations throughout the project.
Ensuring reliable notification delivery across multiple channels introduced challenges around consistency, delivery tracking, retry mechanisms, and coordinating asynchronous operations with persisted data.
Building a Persian-optimized full-text search solution required balancing performance, infrastructure costs, language-specific requirements, and operational simplicity without relying on heavyweight search infrastructures.
Several architectural decisions required carefully balancing software design principles with practical considerations, recognizing when to strictly follow established patterns and when to simplify solutions for maintainability and performance.
The domain model was redesigned multiple times to improve aggregate boundaries, reduce unnecessary database interactions, and better align business requirements with architectural constraints.
A notification delivery mechanism was designed using Domain Events, the Outbox Pattern, and background workers to provide asynchronous processing, delivery tracking, and retry capabilities across multiple notification channels.
A dedicated search strategy was implemented using full-text indexing, search result caching, and zero-downtime index updates to provide efficient Persian language search capabilities while keeping infrastructure requirements modest.
Architectural decisions were continuously evaluated based on maintainability, performance requirements, infrastructure costs, and operational complexity rather than strictly adhering to design patterns in all scenarios.
Successfully designed and deployed a maintainable software architecture based on Domain-Driven Design principles and Clean Architecture for a production environment.
Implemented a reliable background processing infrastructure capable of handling notifications, search indexing operations, and time-based business processes asynchronously.
Designed a search indexing strategy that supports zero-downtime index updates without affecting application availability during reindexing operations.
Reduced infrastructure complexity and costs through architectural decisions such as database migration and selecting a lightweight search solution optimized for project requirements.
The project is organized around business domains and aggregate boundaries to improve maintainability, scalability, and separation of concerns.
Domain Events, background workers, and asynchronous processing mechanisms are used to decouple business operations from time-consuming processes.
The notification subsystem utilizes the Outbox Pattern and dedicated background workers to provide reliable multi-channel notification delivery capabilities.
A dedicated full-text search architecture supports Persian language optimization, search result caching, autocomplete, and zero-downtime index updates.
The application follows Clean Architecture principles to maintain clear boundaries between business logic, infrastructure concerns, and presentation layers.
The application is deployed using Docker and Docker Compose to provide consistent deployment environments and simplify infrastructure management.
Redis is utilized for caching frequently accessed data and improving search performance while reducing unnecessary processing overhead.
Dedicated background services are responsible for notification delivery, search indexing operations, order lifecycle management, and time-based business workflows.
API endpoints are protected using rate limiting strategies alongside authentication and authorization mechanisms to improve reliability and security.
Structured logging mechanisms provide better visibility into application behavior and simplify troubleshooting in production environments.
Founder & Full-Stack Developer
2024 - Present
TorabiHoney
Iran