Designing for Demand: How We Built a Ticketing Platform for 10K+ Concurrent Users

When we joined the EventStripe project, the goal was clear: build a ticketing platform that could handle massive spikes in user activity — not over time, but instantly.

EventStripe enables event organizers to set up branded event pages, launch ticket sales, and track real-time performance. It had to work flawlessly when thousands of users hit the site within seconds of a release.

The real challenge wasn’t average load — it was the moment of peak demand. For each launch, we expected 8,000–10,000 users to show up in the first minute. Every second of latency risked abandoned carts and lost revenue.

We approached the system architecture with resilience and elasticity in mind:

• Backend built with Java 20 and Spring for robust request handling
• Frontend in Next.js for performance and flexibility
• Docker + Kubernetes for containerized scaling
• Real-time monitoring with Grafana and ELK stack
• CI/CD pipelines via Jenkins for seamless deployment

We also divided the architecture into distinct operational zones — ticketing, payments, admin — each able to scale independently depending on load. This let us prioritize critical traffic (like payments) during spikes.

In load tests and real-world launches, the system remained stable and responsive — even as 9,000+ users flooded in.

This kind of reliability isn't accidental. It takes design, testing, and attention to the smallest details.

We’re proud to have helped EventStripe go live — and stay live — when it mattered most.