Backend / Scalability

TicketSystem

Reservation architecture for high-load scenarios with a focus on controlled throughput, consistency, and predictable system behavior.

Overview

TicketSystem is an architecture concept designed for reservation workflows under high concurrency. The goal is not maximum request throughput, but stable and consistent behavior under load.

Problem

High demand leads to race conditions, database contention, and inconsistent booking states. Without proper load control, systems tend to overbook, degrade in performance, and become difficult to reason about.

Architecture Approach

Backpressure over Failures

Incoming requests are actively regulated to prevent system overload and maintain stable response behavior under peak conditions.

Deterministic Locking

Critical operations are protected through deterministic locking to avoid conflicting updates and duplicate reservations.

Sync / Async Separation

User-facing interactions remain lightweight, while heavy processing is decoupled and handled asynchronously.

Idempotent Requests

Repeated requests are safe to execute and do not produce inconsistent or duplicated results.

Key Features

Observability is built into the system, enabling detailed analysis of queue depth, latency, throughput, and system behavior under load.

Screenshots & Monitoring

Challenges

The main challenge was balancing throughput, consistency, and system stability. High-load systems must remain predictable and controllable, not just fast.

Learnings

Scalability is not achieved by maximizing parallelism, but by controlling load, ensuring deterministic behavior, and maintaining strong visibility into the system state.