Db2

Reactive to Proactive: A More Confident Approach to IBM i Monitoring

Businesses trust IBM i to support the applications and workflows that process their invoices, operate their warehouses, dispatch their shipments, and most important of all, serve their customers. IBM i is the high point for reliability for any business application, but even the most reliable environments need visibility to be properly secured, maintained, and monitored. […]

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Fortra

Creating a Containerized Application on Z: A Step-by-Step Guide

In this edition of 'The IBM Z Experience,' Joe Gulla extends a banking application consisting of CICS transactions and data in Db2 databases

Why Your Enterprise Data Isn’t Good Enough for AI, With Craig Mullins

Craig Mullins, author of "The Cost of Good Enough Data: Why Modern Architectures Fail at Scale," goes on IT Social Hour to explain how AI is changing data management standards

Automation Isn’t Accountability: Why the DBA Still Owns the Outcome on IBM Z

While there is real value in automation and much promise in AI, human expertise will still be required—because humans will still be accountable, Craig Mullins observes

Future-Proofing IBM i – The New Path to Modernization and Long-Term Durability

Long-term utility and durability form the bedrock of IBM i systems in today’s enterprise landscape. These platforms have powered mission-critical operations for decades, delivering unmatched reliability and scalability. Yet, as business demands evolve, modernization – rather than outright replacement – remains key to utilizing its full potential. This modernization approach follows incremental, low-disruption sprints that […]

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Integrative Systems

Governing Agentic AI: The Mainframe DBA as the Architect of Autonomous Data Workflows

Craig Mullins explains how mainframe DBA is becoming the link between autonomous systems and data integrity

Using a Metric Database to Populate Dashboards for IBM i

Rick Flagler explains how to create a database to contain metrics for dashboard reporting—for the sake of performance, simplicity and flexibility

AI Agents for IBM i: A Comprehensive Introduction

In this installment of IBM's "AI With IBM i" series, IBM AI specialists Adam Shedivy and Devansh Kumar explain how LLMs can be enhanced with knowledge, tools and memory to take real actions

How the DBA’s Role Transforms in the Hybrid Cloud Era

Craig Mullins looks at the shifting environment facing DBAs, who are now tasked with navigating an increasingly interconnected digital landscape

Life After IBM Db2 Web Query for i: Finding an Alternative

Following the end of support for the business intelligence platform, IBM i consultant Rick Flagler answers the question, "What do we do now?"