IDUG EMEA 2026

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

Db2 upgrades can look straightforward in your favourite manual, but real-world environments often tell a different story. In this session, we share practical user experiences and lessons learned from two recent Db2 upgrade projects that we undertook – moving from Db2 v11.1 to v11.5 on Windows, and from Db2 v11.5 to v12.1.3 on Linux. These upgrades involved very different setups, including single versus multiple instances, standalone databases versus HADR clusters, and the contrasting challenges between Windows and Linux platforms. We will walk through the expected and unexpected issues we encountered, highlight pitfalls not clearly documented in the manuals, and explain the workarounds and strategies that allowed us to complete the upgrades successfully.

There are several flavors of compression in Db2 for z/OS.
You can reduce the space required for a table by using data compression. Compressing the data in a table space can significantly reduce the amount of disk space that is needed to store data and can help improve buffer pool performance.
You can also compress your indexes to significantly reduce the physical space requirements for most indexes.
You can also reduce the size of data in a LOB table space to ensure that the LOB table space and its associated base table space remain available for inserting data.
In this presentation you will learn the different algorithms used for compression in Db2, comparing the cost and benefit of each of them. You will learn how to measure the effect of compression, the space savings but also the effect on applications and utility processing and of course the recent changes in the latest versions and function levels of Db2 for z/OS.

OpenTelemetry is becoming a standard for observability,but what does it mean for Db2? This introductory session shows how metrics and traces help you understand what’s really happening in your Db2 workloads. Learn how SQL activity can be exposed as meaningful metrics, and how distributed traces can follow transactions end-to-end into Db2.We focus on practical outcomes: where time is spent, where bottlenecks occur, and whether issues originate in Db2 or upstream systems. Designed for DBAs and performance specialists, this session gives you a clear starting point to understand what these signals really mean, and how to begin using them in your day-to-day work.

Recovery is only as good as the backup that fuels it. While "taking an Image Copy" is a daily routine for every DBA, understanding the internal mechanics of that process is critical for modern data resilience. In this session, we go beyond the syntax to explore the physics of Db2 data protection.We will dissect the copy process showing how the choice of backup type directly dictates recovery performance.