More Podcasts by InfoQ episodes
Published 16 Feb 2026
Duration: 00:35:19
This podcast outlines the transformation of financial services software architecture to modern, event-driven, and microservices-based models, facilitated by tools like Kafka and AI, while addressing key challenges such as legacy system integration, security, and compliance.
In this episode, Thomas Betts chats with Muzeeb Mohammad about building event-driven microservices for financial systems. The discussion covers some o...
The podcast examines the transition in financial services from traditional monolithic and mainframe systems to more modern, event-driven, and microservices-based architectures. These new architectures leverage tools like Kafka and message queues to enable asynchronous processing, improve service-level agreement (SLA) performance, and support faster deployment cycles by decoupling backend processes. A hybrid strategy is outlined to integrate legacy mainframe systems with emerging distributed technologies, involving the development of a System of Reference that will eventually replace the mainframe as the primary data source. This approach is supported by observability tools and Change Data Capture to maintain data consistency and ease migration.
The discussion also explores the potential of AI in financial services, citing examples such as anomaly detection and dynamic security policies in proof of concept implementations. These applications demonstrate AI's potential to enhance system reliability and customer experience. Security and compliance remain central to modernization efforts, with particular attention given to the handling of personal identifiable (PI) data and adherence to PCI standards. The transformation also involves a cultural shift in engineering practices, with greater emphasis on end-to-end infrastructure and security management responsibilities.
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