Podcast: [Video Podcast] Building Resilient Event-Driven Microservices in Financial Systems with Muzeeb Mohammad

2026-02-16 · Source: InfoQ · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning, Data Science & Analytics · Depth: Intermediate, extended

Summary

Muzeeb Mohammad, a Senior Manager of Software Engineering at JP Morgan Chase, discusses building resilient event-driven microservices for financial systems in a video podcast with Thomas Betts. The discussion, recorded on February 16, 2026, highlights how event-driven architectures, specifically using Kafka, improve scalability and accelerate time to market compared to monolithic systems. Mohammad explains how a hybrid modernization approach allows legacy COBOL mainframe systems to emit events, bridging old and new technologies. Key aspects covered include the importance of observability and traceability with tools like Splunk and Dynatrace, embedding security into engineering workflows, and the cautious adoption of AI for low-risk engineering scenarios like anomaly detection before moving to business-facing use cases. The conversation also touches on the challenges and motivations for modernizing financial infrastructure, emphasizing continuous integration and deployment benefits.

Key takeaway

For CTOs and VPs of Engineering modernizing financial platforms, adopting event-driven microservices is crucial for improving scalability and accelerating feature delivery. Your teams should prioritize a hybrid approach to integrate legacy mainframes by having them emit events, enabling gradual migration and leveraging modern CI/CD pipelines. Focus on robust observability and embedded security practices from the outset to manage complexity and regulatory compliance effectively, while cautiously exploring AI for operational efficiencies.

Key insights

Event-driven microservices enhance scalability and accelerate time to market in financial systems, even with legacy mainframe integration.

Principles

• Decouple systems for independent processing and deployment.
• Embed security directly into engineering workflows.
• Use hybrid modernization to bridge legacy and modern systems.

Method

Implement event streaming (e.g., Kafka) for asynchronous processing. Use MQ layers for mainframe integration, translating COBOL events into Kafka topics. Employ TraceIDs and observability tools like Splunk for end-to-end visibility.

In practice

• Emit events from legacy COBOL systems via MQ.
• Use AI for low-risk anomaly detection in SRE.
• Implement environment as code for platform-level security.

Topics

• Event-Driven Microservices
• Financial Systems Modernization
• AI in Financial Services
• Observability & Security

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Software Engineer, AI Architect, Machine Learning Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by InfoQ.