⚠️ Project Status: PlanningThis project is currently in the architecture and design phase. The implementation will focus on building a high-concurrency ticketing platform capable of handling thousands of simultaneous reservation and purchase requests while ensuring consistency, availability, and fault tolerance.
TicketView is a distributed ticketing platform designed to simulate the architecture behind modern event ticketing systems, where thousands of users may attempt to reserve or purchase the same seats simultaneously. The primary goal is to guarantee data consistency, prevent overselling, and provide low-latency responses under heavy traffic conditions.
The platform will be developed using a microservices architecture, with each service responsible for an isolated business capability such as event management, ticket inventory, reservations, orders, payments, and notifications. This modular approach enables independent deployment, scalability, and maintenance.
To support real-time communication between services, the platform will adopt an Event-Driven Architecture, allowing business events such as ticket reservations, payment confirmations, cancellations, and inventory updates to be processed asynchronously while reducing service coupling.
Given the high-concurrency nature of ticket sales, the system will implement distributed caching to accelerate ticket availability queries and reduce database contention. Concurrency control will be achieved through a combination of optimistic and pessimistic locking, ensuring that only one successful reservation can be made for the same ticket while minimizing race conditions.
The platform will also implement idempotent operations, guaranteeing that repeated requests caused by network failures or client retries never generate duplicated reservations or payments. Asynchronous processing will be used throughout the reservation and purchase workflow to improve throughput and responsiveness during peak traffic.
The architecture will be designed for horizontal scalability, allowing services to automatically scale under increasing demand while maintaining consistent performance. Comprehensive observability will be incorporated through metrics, health checks, logging, and distributed monitoring to provide visibility into system behavior and performance.
Throughout the project, the solution will follow Domain-Driven Design (DDD) and Clean Architecture principles, emphasizing clear domain boundaries, maintainable code, and business-oriented design. The final result will closely resemble the distributed backend architecture used by large-scale ticketing platforms capable of supporting high-demand events and flash-sale scenarios.