From Transactions to Events: Real-Time Integration with Confluent Platform on IBM Z and LinuxONE

Project and Program: Application Development, CICS

Tags: Proceedings, 2026, SHARE Pittsburgh 2026

IBM Z systems process some of the world's most critical business transactions, yet many organizations still rely on batch-driven integration patterns that can delay access to valuable business data. Event streaming is changing this model by enabling applications, analytics platforms, AI services, and cloud-native workloads to consume business events as they occur. This session introduces event streaming concepts and demonstrates how Confluent Platform on IBM Z and LinuxONE can help organizations build real-time architectures while keeping core business processing close to the systems that generate the data. Attendees will learn how event streams can be created from z/OS applications and data sources, how Apache Kafka and Confluent Platform provide a scalable event backbone, and how IBM Z can participate as both a producer and consumer of business events. Through practical architecture examples, we will explore common use cases including real-time transaction processing, application modernization, hybrid cloud integration, data distribution, and AI-driven event processing. We will also discuss deployment considerations, security, resilience, and the advantages of running event streaming infrastructure on IBM Z and LinuxONE. Whether you are a z/OS architect, system programmer, application developer, or integration specialist, this session will provide a practical introduction to event-driven architectures and show how event streaming can unlock new value from existing IBM Z investments.

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