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TECH STACK GUIDE

Event Management Tech Stack 2026

Event platforms need to handle ticket sale spikes, real-time check-in, virtual streaming, and post-event analytics — all with the reliability that live events demand.

Event management software is operationally demanding: ticket sales spike in seconds when a popular event goes on sale, check-in systems must work offline when mobile data fails at crowded venues, and hybrid events require simultaneous in-person and virtual stream management. We've built event platforms for conferences, festivals, and corporate events. The architecture must handle concurrency spikes during ticket sales, offline-capable check-in, and real-time attendance tracking without any of these systems blocking each other.

The Stack

🎨

Frontend

Next.js 15 + TypeScript + React Native (check-in)

Next.js for the event pages, ticketing, and organizer dashboard. React Native for the check-in app — it must work offline at venues. SvelteKit excels for the public-facing ticket purchase page where load time directly impacts conversion rate under high traffic. The check-in app needs local QR code validation when cellular is saturated at large venues.

Alternatives
SvelteKit (ticketing page performance)Flutter (check-in app)
⚙️

Backend

NestJS + Node.js + Bull queues + Stripe

NestJS handles event management APIs, ticketing logic, and attendee management. Bull queues manage ticket confirmation emails, PDF generation, and webhook deliveries. Stripe for payment processing — its idempotency keys prevent double-charging during high-traffic ticket sale windows. Go is worth considering for the ticketing purchase path where concurrency handling during sale spikes is critical.

Alternatives
Go (high-concurrency ticketing)Elixir (real-time check-in)
🗄️

Database

PostgreSQL + Redis

PostgreSQL with SELECT FOR UPDATE handles ticket reservation concurrency — preventing overselling requires database-level locking during high-demand ticket sales. Redis caches real-time attendance counts and check-in progress. For global events with simultaneous ticket sales across continents, CockroachDB's distributed transactions prevent overselling without single-region bottlenecks.

Alternatives
MySQLCockroachDB (global scale)
☁️

Infrastructure

AWS (CloudFront + ECS + RDS + SES)

CloudFront absorbs traffic spikes from ticket sale announcements — CDN caching handles 90% of the read traffic. ECS auto-scales the API backend during sale windows. SES delivers ticket confirmation and reminder emails at scale. Pre-scale for known events: if 50,000 people will buy tickets at 10 AM, scale your infrastructure at 9:55 AM.

Alternatives
Vercel + RailwayGoogle Cloud Run

Estimated Development Cost

MVP
$30,000–$70,000
Growth
$70,000–$180,000
Scale
$180,000–$500,000+

Pros & Cons

Advantages

  • PostgreSQL SELECT FOR UPDATE prevents ticket overselling during high-concurrency sale windows
  • Stripe idempotency keys prevent double-charges during network retries on the ticket purchase path
  • Redis real-time attendance tracking powers live check-in dashboards without database polling
  • CloudFront absorbs traffic spikes from event announcements without backend impact
  • Offline-capable React Native check-in app validates QR codes locally without cellular dependency

⚠️ Tradeoffs

  • Ticket sale traffic spikes are extremely bursty — 100x normal traffic for 5 minutes strains most architectures
  • Refund and transfer policies create complex ticket state machine logic
  • Virtual streaming integration (Zoom, YouTube Live, custom WebRTC) adds significant scope
  • Venue WiFi reliability for large-scale check-in operations is notoriously unreliable — offline mode is essential

Frequently Asked Questions

How do we prevent ticket overselling during high-demand sale launches?

Two-phase reservation: first reserve the ticket (Redis atomic DECR on available count), then complete payment within a time window (5 minutes). If payment fails or times out, release the reservation. Use PostgreSQL SELECT FOR UPDATE with NOWAIT for the actual ticket assignment — this prevents race conditions at the database level. Add a virtual queue (Queue-it or custom Redis FIFO) for demand exceeding capacity.

How do we handle QR code check-in offline at large venues?

Sync the attendee list to the check-in device before the event — a SQLite database on the React Native app holds all expected tickets with their QR codes. Mark check-ins locally and sync to the server when connectivity is available. The local QR validation prevents fraudulent entry even when offline. Handle the edge case where an attendee transferred their ticket online after the device synced — flag for human review.

What's the best architecture for hybrid in-person and virtual events?

Treat virtual and in-person attendees as separate ticket types with separate entitlements. Use Mux or Daily.co for the virtual stream with interactive features (Q&A, polls). In-person QR check-in handles physical entry. The event management dashboard shows unified real-time attendance across both formats. Don't try to build virtual streaming yourself — the infrastructure complexity is enormous.

How should we handle event cancellations and mass refunds?

Stripe's batch refund API handles mass refunds, but rate limits mean large events take hours. Queue refunds in Bull with retry logic. Email attendees proactively with the refund timeline. Store the cancellation reason and refund policy applied — you'll need this for dispute management. Pre-build cancellation workflow tooling; discovering you need it during a crisis is too late.

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