Real FinTech Example from My Consulting Career

2 days ago

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The project involved a FinTech company needing compliance (auditability) and scalability for their trading platform.
Event sourcing was chosen for auditability, storing events instead of state to reconstruct past states accurately.
CQRS (Command Query Responsibility Segregation) was implemented to separate read and write operations, improving performance and scalability.
Microservices architecture was adopted for independent scalability and fault tolerance, breaking down the monolith.
Asynchronous messaging enhanced fault tolerance by decoupling services and ensuring message processing despite service downtimes.
Event sourcing was used only in the Transaction-Portfolio Service due to strict compliance needs, while other services used CRUD.
Performance challenges with event replay were mitigated using snapshots and delta replay, reducing calculation times significantly.
CQRS improved report generation and query performance by using denormalized read models and optimized indexes.
Distributed tracing and structured logging were implemented to address debugging complexities in a distributed system.
Lessons learned include the need for better event schema evolution strategies and initial monitoring setups.

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