Presentation
From Transactions to Events: Real-Time Integration with Confluent Platform on IBM Z and LinuxONE
Contributor
Event Type
Technical Session
CICS
Intermediate
TimeTuesday, August 183:45pm - 4:45pm EDT
LocationRoom 319
DescriptionIBM 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.
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.
Contributor
STSM for Z Integration