Resources

Guide

A Single Pane of Glass for Multi-Platform Systems Management

Bring disparate systems, platforms, devices, and applications together in one place and on one screen to make systems management easier and create a consistent and common methodology to varying departments within the IT infrastructure. Combining Halcyon’s Enterprise Console, Operations Center Suite, and Network Server Suite can provide a single pane of glass for managing your IT environment. See how here.
Guide

Robot in Modern IBM i Environments

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.
Guide

How to Handle Explosive IBM i Storage Growth

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.
Article

IBM on IASP for PowerHA Implementations

You’ve heard about IASP technology many times over the years, but you’ve been ignoring it, haven’t you? Steve Finnes confirms that it’s past time we “get to know it, understand it, and not be afraid of it.”
Article

All About Alert Intelligence

Thanks to intelligent filtering, the Alert Intelligence feature included in IBM i Server Suite improves the quality of IBM i alerts while reducing the quantity, providing increased application availability and system uptime.
Article

Robot and FlashCopy

Last month, Chuck Stupca (retired IBMer) and Chuck Losinski (Fortra) presented a webinar discussing FlashCopy for IBM i . Based on the attendance, it looks like this is a very important topic for many of you so I wanted to explain how FlashCopy ties to Robot products.
Article

Robot Best Practices

Wondering about best practices for automating your IBM i processes with Robot systems management solutions? Take a look at this list and get off to a good start.
Article

Is the i Ready for the Three Vs of Big Data?

The three Vs of big data are volume, velocity, and variety, but in order derive value from big data, IT departments need tools to store massive amounts of data (volume) and make sure it is always available for quick analysis (velocity).