3 min readEngineeringNext.jsData

Building a Real-Time Ticket Inventory Pipeline with Next.js

Editorial Team
Editorial Team
Wholesale Tickets Editorial
Modern dashboard showing live ticket inventory updates

Live inventory is the heartbeat of a brokerage. Below is a pragmatic approach to build a resilient, low-latency pipeline on the modern web stack.

Ingestion

  • Use server-side tasks for scheduled fetches from trusted B2B endpoints.
  • Normalize payloads into a common shape: eventId, venueId, section/row/seat, price, deliveryType, TTL.
  • Respect rate limits and implement per-source backoff with circuit breakers.

Normalization

Apply venue maps and consistent seat attributes. Record a provenance trail for each row of data so you can answer “where did this come from?” during disputes.

Serving

  • Use Next.js Route Handlers for low-latency JSON feeds.
  • Cache at the edge with short TTLs; revalidate-on-focus on the client.
  • Stream updates to internal dashboards via websockets or server-sent events.

Observability

Instrument the pipeline with structured logs, per-source latency, error rates, and data freshness. Set alerting thresholds and build a simple on-call playbook.

Security

Protect supplier endpoints and secrets, rotate credentials, and partition access by environment. Log access and validate input strictly to avoid poison data.

Done right, your pipeline becomes a competitive moat: faster decisions, fewer mismatches, and happier buyers.

Published by Wholesale Tickets Editorial

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