A real-time sports data system built to ingest, evaluate, and distribute live match updates across mobile and web—even when providers are delayed, inconsistent, or unreliable.
Live sports platforms depend entirely on third-party data—and that data is rarely consistent. Providers differ in latency, accuracy, and completeness, and performance can change mid-match. Relying on a single provider creates an immediate single point of failure.
The real challenge was not fetching data—it was deciding which data to trust, in real time, under live conditions.
Built a provider-agnostic abstraction layer that ingests multiple sports data APIs in parallel—removing hard dependency on any single source.
Designed a real-time distribution pipeline using Redis Pub/Sub to propagate validated match updates instantly across mobile and web clients.
Implemented live scoring logic to continuously evaluate providers on latency, completeness, and historical reliability—with automatic switching when thresholds were breached.
Single-provider dependency risk
Accuracy and speed of live match updates under load
Uninterrupted service during provider degradation
If your product depends on real-time data, third-party providers, or live operational decisions, we can help you design and own the system end-to-end.
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