Resources

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!

Article

Continuous Performance Data—Without Big Overhead

By Chuck Losinski on Tue, 08/30/2016

There are two sides to every Robot Network. It offers centralized control of the Robot software running on your IBM i partitions as well as performance monitoring and exception-based management across your environment.

Blog

User Interfaces: GUI vs. WUI

By Tom Huntington on Tue, 08/16/2016

You might be asking yourself, “What’s a WUI?” At Robot, WUI stands for web user interface, and we think it has some big benefits that are giving the GUI a run for its money.

Blog

Who's Afraid of IASPs?

By Tom Huntington on Tue, 08/16/2016

As IASP technology continues to grow, so will its uses for high availability (HA) and backups. The result of that will be shrinking hardware costs and complexity and increased redundancy.

Article

What’s New in the Robot NETWORK Web Interface?

By Chuck Losinski on Tue, 08/16/2016

Just when you were getting used to the GUI, Robot NETWORK gives its web interface a boost that makes managing your performance and Robot product metrics even easier.

Article

Robot and FlashCopy

By Tom Huntington on Tue, 08/16/2016

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

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.

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).

Case Study

For Centralized Data Processing, KeHE Relies on Fortra

As the nation’s leading distributor of natural, organic, specialty, ethnic, and gourmet food products, KeHE Distributors has helped thousands of retailers—from the smallest independent stores to the largest supermarket chains—meet the constantly growing demand for products that help people to live well. John Kinnaird is the National Operating Center Manager responsible for supporting both hardware...