IDUG EMEA 2026

Become a Db2 Pacemaker Expert in Just 4 Hours — Across All Major Clouds and learn how Db2 supports the High Availability needs of many customers today. Db2 v11.5.5.0 saw the general availability of High Availability with Pacemaker on the Linux platform, providing a newer, Cloud-ready alternative to the TSA implementation. Newer releases have added support for AWS, Azure, Google Cloud, and IBM Cloud environments.
This - will give you hands-on experience for managing a Db2 HADR with Pacemaker Cluster on AWS, Microsoft Azure, Google Cloud, or IBM Cloud. The session will cover the Cloud-specific implementation of Fencing mechanisms and Virtual IP (VIP) addresses across different cloud platforms. Key topics include: Implementation of Route 53 for DNS-based VIP management, Setup of Disk Fencing, Qdevice (Quorum Device) for enhanced split-brain prevention.

Many Db2 environments still depend on inherited, legacy home-grown housekeeping processes, increasing cost, risk and instability. This session shares a customer journey that modernized REORG strategy using data-driven principles and operational criteria. We discuss organizational challenges, architectural decisions, and unexpected outcomes, offering guidance for a more sustainable and scalable Db2 housekeeping model.

High availability and disaster recovery capabilities are essential for safeguarding mission-critical Db2 environments. Yet for many beginners, the variety of available technologies including backup and recovery strategies, clustering solutions, replication tools, and multi-cloud architecture can feel overwhelming. This session provides a clear, approachable introduction to the full Db2 High availability and disaster recovery landscape, based on real-world experiences. We will walk through the fundamentals of Db2 backup and recovery, explain how Db2 HADR works and when it’s the right choice, and demystify clustering frameworks such as Pacemaker and PowerHA. You will also learn where pureScale fits into HA planning, how Q Replication and CDC support active-active or near real-time availability, and how modern cloud and multi-cloud deployment models are reshaping resiliency design. Whether you’re new to Db2 or looking to strengthen your foundational knowledge, this session will give you t

Integrating Db2 for z/OS with non-mainframe processes is easy if you learn how to use Db2 with scripting languages, particularly exploiting Db2 client capabilities and ZOWE. This presentation explains how to do this, and shows some classic use cases in database administration and DevOps.

This session will be about bridging existing legacy programs with "modern"interfaces, such as the Unix shell and Ansible. Next-generation mainframers are typically well-versed in Unix shells and scripting, largely due to Linux's dominance in the server market. But how does this apply to traditional mainframe tools? That is what we want to show you.

Enterprise database migrations are often slowed to a crawl by their reliance on flat files. Large volumes of data must be written to disk, moved across networks, and reloaded using traditional utilities—a process that is time‑consuming, storage‑intensive, and error-prone. In migrating a legacy Oracle environment on AWS RDS to a modern, containerized Db2 platform running on OpenShift, it became clear that a fundamentally different approach was needed—one that removes the disk from the equation altogether.
This session presents a high‑performance, zero‑disk migration approach that streams data directly from the Oracle source into Db2. It walks through how to set up Db2 Federation and automate nickname creation to establish a direct data pipeline. Rather than relying on conventional SQL processing, the approach feeds a federated cursor straight into the Db2 LOAD mechanism, allowing data to be written directly into target tables with maximum efficiency.
To make this solution practical at

Db2 LUW provides the capability to create partitioned tables which have a number of useful benefits. However, a current downside to the implementation on LUW is that there is no automatic built-in functionality to add partitions when needed or manage the process of adding, detaching and deleting partitions. In particular, for Production environments that require stability and availability without interruption, robust and auditable management of partitions is a critical and invaluable requirement.
In this session I will provide an overview of the design and implementation of a bespoke Unix based solution used in a high volume 24/7 transactional and warehouse database application. The presentation will include an explanation of the requirements to manage table partitions in a Production environment and will include high level diagrams of the process flow to manage the partitions; the logic to identify required partitions/timestamps to manipulate, the required commands to make changes,

This session presents a comprehensive approach to database backup and recovery using Snapshot Backup technology integrated with Cloud infrastructure. The solution leverages the Db2 ACS Scripted interface to automate backup operations on Linux systems, enabling efficient data protection strategies for enterprise databases.
The implementation utilizes Linux LVM (Logical Volume Manager) to create consistent point-in-time snapshots of database volumes, ensuring data integrity during backup operations.
By combining snapshot-based backup techniques with cloud object storage capabilities, this approach delivers a robust disaster recovery solution that minimizes backup windows, reduces storage costs, and enhances data availability. The scripted automation through Db2 ACS interface ensures consistent, repeatable backup procedures while maintaining operational efficiency in Linux environments.
This methodology addresses critical requirements for modern database management, including rapid recov