91644: Sharing Information From IMS Transactions With Hybrid Cloud Applications in Real-Time Using IBM zDIH
Project and Program:
Hybrid Cloud,
Application Development,
IMS
Tags:
Proceedings,
SHARE DC 2025,
2025
Every enterprise organisations are in the journey of modernisation and digital
transformation. Hybrid cloud is the solution embraced by most organisations to
place best fit workload in the right platform. Sharing real-time information
from core systems of record which are typically processed by transaction
managers such as IMS with cloud applications is critical in this modernisation
and transformation journey for the increased agility and business
transformation. Also, increased volume of inquiry traffic resulting from digital
transformation & modernisation initiatives can cause unpredictability for core
systems to process critical transactions running on the system. An optimised
Command Query Responsibility Separation (CQRS) is required for enterprise to
handle such situations. IBM Z Digital Integration Hub (zDIH) is a product
offering that addresses these requirements and delivers overall optimization
through: (1) efficient, low-latency mechanisms for integrating core system of
record (2) flexible, low-code/ no code zDIH Developer Kit toauto-generate
integration applications and (3) a standards based approach for java based
in-memory caches supporting all standard interfaces such as REST, SQL and
event-driven architectures such as Kafka. In this session, we will talk about
how IBM zDIH can be leveraged to share the information from IMS transactions
with hybrid cloud applications in real-time, ensuring the ordering of the
transactions which enables hybrid cloud applications to consume the information
as in the source of truth, without impacting the critical transactions on the
core systems. We will also show a live demo of how the integration of IMS
application with IBM zDIH provides realtime information for hybrid cloud
applications to consume through REST, SQL interfaces and streaming the zDIH
cache information in realtime to Kafka, MongoDB or JDBC compliant databases.
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