IDUG NA 2026

Hear from the lab leadership on the latest shipped + announced Db2 content, and our perspective and vision for the future. We'll cover key enhancements in the latest modpacks (12.1.4 / 12.1.5) and give you a sneak peak at what's coming in 12.1.6 and beyond.

Learn about the latest developments in Db2 ecosystem coming out of the Labs. A refresher on whats been delivered already. A deep dive into the most recently released mod packs. And catch a sneak peak at our future plans.

In this session, we'll go back to basics and look at SQL-PL, Db2's built in server-side application logic. We'll take a look at the code constructs and how to leverage in stored procedures, user defined functions and triggers. We'll also look at more complex scenarios like code for a Data Partitioning Feature (DPF) environment. The majority of this session will be looking at and executing source code.

This session will cover the new features in Db2 12.1 security, covering 12.1.3, 12.1.4 and 12.1.5. Attend to hear about new auditing capabilities, including audit to cloud object storage, and directly to CSV files. You will also learn about new JWT authentication enhancements features online key retrieval. 12.1.5 sees the completion of the reduce file permission feature started in 12.1.2 that really locks down a Db2 instance. You will also hear about new Quantum Safe Crypto support in TLS.

Amazon RDS for Db2 addresses growing demand for Db2 cloud migration by delivering a fully managed service with push-button deployment — provision a production-ready Db2 instance in minutes, not days. Automated patching, backups, scaling, and failover eliminate undifferentiated heavy lifting. This deep dive covers RDS for Db2 through the Well-Architected Framework: Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization. Attendees learn how a managed service reduces admin burden, improves uptime, and frees teams to focus on innovation. Leave with a blueprint for modernizing Db2.
Self-managed Db2 means manual patching, complex HA, and rising costs. Amazon RDS for Db2 fixes that — deploy production-ready Db2 in minutes with a fully managed service.This deep dive covers RDS for Db2 through the Well-Architected Framework: Operational Excellence (automated patching, backups, monitoring), Security (encryption, IAM, VPC), Reliability (Multi-AZ, cross-region DR), Performance Efficiency (right-sizing, storage tuning), and Cost Optimization (Reserved Instances, TCO savings vs. self-managed).Live demos and customer patterns show how to provision, secure, and optimize RDS for Db2 for production. Migrating from Linux or AIX? Optimizing an existing deployment? Leave with a well-architected blueprint for Db2 as a managed service on AWS.

Discover how Db2’s new DiskANN‑powered vector index delivers fast, scalable similarity search while integrating seamlessly into existing database workflows. We’ll walk through expected performance gains using AWS benchmark results and share practical tuning strategies to help you get the most out of vector search in Db2.

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 recovery time objectives (RTO), minimal recovery point objectives (RPO), and compliance with data retention policies through cloud-based archival strategies.

In this session we will show you how application building with a serverless database gives you superpowers. Serverless databases are built for the AI Era handling the workloads of the future and turning you into a 10X Engineer. We will show you how to develop applications for Db2 from prompt to production and demonstrate how a serverless database tackles AI and Machine driven workloads all while reducing cost and effort. Join us for this groundbreaking session and experience the future of Db2 SaaS services!

Db2 now has a complete AI application stack — Vector Storage, Vector Similarity Search, Vector Index, and LLM Integration. Once you know what this stack can do, the natural next question is: what can you build with it? That is exactly what this session addresses. Drawing on industry research and global enterprise adoption data, we examine AI use cases that organisations have already deployed at scale and validated in production. For each, we explain the business problem it solves, how Db2's AI stack maps to the solution, and what implementation looks like — using data most Db2 customers already have. Business leaders will leave with a clear, evidence-backed starting point for AI investment. Developers and architects will leave with a concrete path from proven use case to working implementation. The stack is ready. The use cases are proven. Come find out which ones to build next.