Resources

Guide
Guide

Going Beyond the GUI

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.
IBM i Automation
Monitoring
Realize ROI with Robot
Blog
Blog

Realize ROI with Robot

By Tom Huntington on Sun, 03/28/2021
Robot has a reputation for providing high-quality systems management software and backing it up with great support. These additional benefits can help you justify the cost of automation at your company.
IBM i Automation
Monitoring
Blog
Blog

Database Transaction Log Management

Mon, 03/06/2017
Don't let database transaction logs weigh you down. Find out how to preserve data integrity and consume less disk space.
Automation
IBM i Business Intelligence
Blog
Blog

How DR Compliance Requirements Impact HA Decisions

By Tom Huntington on Wed, 03/01/2017
Disaster recovery requirements are part of the geographic and industry regulations that affect our organizations. Having the right solutions in place can help to avoid penalties and make audits go smoothly. Read on to create a complete compliance toolkit.
Automation
Compliance
On-Demand Webinar
On-Demand Webinar

Quick and Easy IBM i Disk Space Management

By Chuck Losinski
Studies show that the amount of data stored worldwide will grow by 4,300% within 7 years. 80% of that growth is on enterprise servers like your IBM i. If you want to be prepared to manage that kind of big data, watch this webinar!
Automation
Article
Article

Robot Best Practices

By Tom Huntington on Mon, 06/27/2016
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.
Automation
Monitoring
Article
Article

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

By Tom Huntington on Mon, 06/27/2016
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).
Automation