Hazelcast and InfoQ Workshop: Architecting Payment Systems for Real-time Performance
Watch NowMost payment systems weren’t built for real-time. They rely on batches, relational state, and tightly coupled cores.
Even “modernized” ones often fail under load—showing latency spikes, stale data, or scaling limits.
In this 90-minute workshop, Hazelcast architects walk through how to design and evolve payment systems to handle real-time transaction volumes at scale. The session uses a live ISO 20022–based reference implementation to show how distributed in-memory data and streaming pipelines remove bottlenecks without sacrificing consistency or operational visibility.
You’ll see how a cache-first, event-driven architecture supports instant settlement, fraud detection, and liquidity management while integrating with existing systems. Topics include balancing streaming and transactional data, coordinating state, and maintaining low latency.
Observability is built in, with Prometheus, Grafana, and SQL over live and static data for real-time insight.
The session ends with an architectural walkthrough linking design patterns to real performance gains.
