Modernization is more than simply switching from a green screen to a GUI. To have a truly modern IBM i data center, you must consider all areas of IT from your software and applications to your hardware and devices to the processes that support the whole operation. This guides helps you modernize your IBM i from the ground up.

This guide explores the limitations of legacy AS400 schedulers, identifies the signs that it’s time for a change, and points to the benefits of automated operations using modern workload automation software built for IBM i.

The AIX Community Survey, now in its fifth consecutive year, goes in-depth with IT teams to gain a unique perspective into how this platform is being used today and how teams envision using it in the future. Over the years, the respondents of the survey have expanded to include a variety of industries, geographies, and titles within IT. More than 100 IT professionals in North America, EMEA, and APAC participated in this year’s survey, and this input enables all of us to understand the role of AIX with new clarity.

This guide teaches you how to handle IBM i message management, including the fastest and more accurate ways to monitor for messages, filter critical messages, and escalate messages to members of your team as needed.

Robot systems management solutions can improve processes and enhance the return on investment for new technologies running in modern IBM i environments. Find out how.

Systems management is an absolute necessity to ensure that businesses survive and thrive. Read this guide to learn the top ten automation tips for peace of mind.

Data growth projections are simply too big to ignore. It’s essential that IT teams move away from reactive approaches and adopt a sustainable data storage management strategy. This guide is a great resource to get you started.

With organizations collecting more customer, transactional, and relational data than ever before, data volumes are beginning to expand past their system’s processing capacity. But big data doesn’t have to be alarming. Go beyond the hype and conquer your IBM i data.

Bad data is common throughout many organizations—and the costs can be far-reaching. This white paper explores the common causes of inaccurate and incomplete business data, as well as how businesses can identify and mitigate these problems.