ApexGrid

F1 Race Ticket Reservation & Microservices Platform

Java 17Spring Boot 3.2Spring Cloud GatewayPostgreSQLReact 18DockerJWTTailwindCSS

GitHub Repository

↳ Microservices architecture + RBAC + real-time quota system

Engineering Scope

Problem & System Purpose

Production-ready distributed microservices platform featuring 3 independent Spring Boot services (API Gateway, User Service, Race Service) orchestrated via Spring Cloud Gateway. Real-time race ticket inventory synchronized through PostgreSQL database triggers, a 30-minute auto-expiry reservation scheduler, shared RBAC security (USER/ADMIN), Swagger UI, and a full Admin Panel with analytics dashboard via database views.

Specification3 Independent Microservices

Specification< 40ms Gateway Response

Specification100% ACID Seat Locking

Architecture Blueprint

Distributed microservices system designed for high concurrency with zero quota race conditions and centralized JWT gateway validation.

Execution Data Pipeline

01.React 18 Glassmorphic UI Client

02.Spring Cloud Gateway (Centralized Routing & JWT Filter)

03.Microservices (User Service / Race Ticket Service)

04.PostgreSQL DB Triggers & 30-Min Auto-Expiry Scheduler

Subsystem Decomposition

Spring Cloud Gateway

Handles centralized routing, rate limiting, and RBAC token evaluation.

Quota & Race Service

High-concurrency ticket booking engine powered by PostgreSQL triggers for real-time inventory management.

Analytics & Views

Complex PostgreSQL DB views feed real-time sales and reservation metrics to the React Admin Panel.

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