The domino effect—where a change in one component triggers a cascade of events across others—is a challenge faced in many domains, from fintech to healthcare and beyond. How can we design systems that handle these cascading reactions while maintaining responsiveness and scalability?

In this session, we’ll explore how Observer Patterns and Reactive Programming (Rx.NET) can be used in .NET to build resilient, event-driven systems. Using fintech as a case study, we’ll demonstrate how to handle real-time market updates, automated trading, and risk monitoring. But the insights you’ll gain apply far beyond fintech—these patterns can transform how you approach reactive design in any domain.

You’ll learn how to:

1. Decouple system components to better manage cascading changes.
2. Handle high-frequency data streams efficiently with Rx.NET.
3. Design scalable, fault-tolerant systems for real-time operations.