Event Management
v2.1.0

High-Performance Trail Running Ticketing System

This system is specifically engineered to cope with extreme traffic surges when registration opens for international scale trail running events. The primary focus is placed on data integrity, bot prevention, and horizontal scalability. Developed with a microservices architecture to ensure a fair queuing process that is completely secure against automated scripting attacks.

Go
Next.js
Redis
PostgreSQL
Kafka
High-Performance Trail Running Ticketing System
2 Video tersedia ↓
System Details

Partner

Malabar Team

Development

1 month

Last Audit

January 2026

Infrastructure Optimization
Auto-scaling Elasticity in Cloud Environments
Virtual Queuing System (Virtual Waiting Room)
Medical Data & ITRA Points Validation
Race Result Timing System Integration
System Design
Go (Golang) based microservices for high execution speeds
Distributed Locking via Redis to completely prevent double booking
Message Broker (Kafka) for asynchronous payment processing workflows
Edge Protection for layer 7 DDoS attack mitigation
Project Background

The main problem in high-demand ticketing for popular running events is the 'race war', where thousands of runners attempt to register at the exact same second, often resulting in server crashes or overbooking errors.

This system implements a Token Bucket algorithm to throttle incoming requests along with a Redis-based queue to ensure a strictly fair first-come, first-served slot allocation.

From a security research perspective, the system is fully equipped with protection against advanced bots (headless browsers) and maintains participant data integrity via end-to-end encryption on sensitive medical files.

Ulasan Klien

4.9(210 ulasan)

"The server did not drop at all when the high-demand ticket release started. The Redis distributed locking mechanism was completely solid—zero overbooking!"

B

Budi Santoso

Race Director of Malabar Run

"The Virtual Waiting Room queuing system is absolute genius; it kept the database load highly stable even during peak traffic conditions."

S

Siti Rahma

SRE Lead

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