EventStripe

Enterprise-Scale Event Ticketing Platform Architecture

EventStripe Platform

The client required a project-specific platform capable of supporting near-real-time purchases, dynamic pricing logic, and stable operation during unpredictable load peaks typical for large ticket launches.

This case study describes a project-specific SaaS platform implemented for a single client under defined operational conditions. Architectural descriptions and performance characteristics are presented in an abstracted form and may vary depending on workload patterns and deployment environments.

Executive Summary

EventStripe is a high-load event ticketing platform built for extreme traffic spikes, global payment flows, and complex pricing logic. The goal was to deliver a scalable architecture that remains stable under peak demand while keeping releases fast and reliable. The solution combines microservices, Kubernetes autoscaling, full observability, and hardened CI/CD pipelines to absorb traffic surges without downtime and support continuous product iteration.

Challenge

Unlike traditional event websites, EventStripe had to support instant booking, payment orchestration, and fraud monitoring simultaneously — while minimizing service interruptions during peak traffic events. Additionally, the platform required detailed observability to detect operational anomalies with low-latency monitoring and alerting.

Our Approach

We built a microservice-based architecture that separates ticket management, payments, analytics, and user notifications into independent services. The system was deployed in a Kubernetes cluster to enable horizontal scaling during high-load events. Monitoring was handled by ELK stack and Grafana, providing comprehensive visibility into performance metrics. EventStripe Architecture

EventStripe Architecture

Results

  • Stable operation observed under high concurrent user load
  • Low-latency request handling during peak traffic periods
  • Automated scaling and rollback mechanisms implemented
  • Integrated monitoring and anomaly detection workflows
  • Improved operational visibility during high-demand events
EventStripe Results & Performance

Tech Stack

Backend: Java 20 · Spring

Frontend: Next.js

Infrastructure: Docker · Kubernetes

Monitoring: ELK · Grafana

Duration: 12 months

Team: 3 engineers

Why it Matters

This project validated our ability to build enterprise-grade SaaS architectures that remain lightweight and maintainable. The same modular design principles now serve as the foundation for H-Studio's startup infrastructure builds — designed for resilience, maintainability, and controlled failure handling.

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Related Services

Discover our services that contributed to the implementation of this project.

Backend Engineering

Enterprise-grade backend systems, scalable APIs, and microservices architecture for high-performance, scalable SaaS platforms.

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Kubernetes & Cloud Infrastructure Engineering

Production-ready Kubernetes clusters with automatic horizontal scaling, self-healing, and deployments designed to minimize downtime.

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CI/CD Pipelines

Automated CI/CD pipelines with Jenkins for continuous integration, canary deployments, and automatic rollbacks.

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Monitoring, Alerting & Observability

Complete monitoring stacks with ELK Stack, Grafana, and alerting for real-time visibility and anomaly detection.

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System Integrations

Seamless integration with payment providers, external APIs, and internal systems for automated workflows.

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Disclaimer: All results and performance characteristics described in this case study are project-specific observations and do not represent guaranteed outcomes for other systems or environments.

EventStripe: High-Load SaaS Ticketing Platform | H-Studio – DevOps, CI/CD & Kubernetes