Resources

Blog

What is Hyperautomation?

For many organizations, what were once islands of automation are converging. And they’re realizing there’s even more labor in their organizations that can be automated. But to bring it all together, they need a craftier strategy to make it happen. Enter hyperautomation . What started as the latest industry buzzword, has become a critical discipline to add to your digital transformation strategy....
Blog

Automation vs Hyperautomation: Learn the Differences

Gartner forecast a $600 billion global market in 2022 for technology that powers hyperautomation. Without a doubt, hyperautomation has quickly moved from an industry buzzword to the way companies of all sizes approach automation. Surveys from the technology research and consulting firm show that a majority of CEOs and two-thirds of boards of directors are demanding operational excellence and...
Datasheet

Fortra's Security & Automation Portfolios

Today’s IT environment is filled with the challenges of securing infrastructure despite lean resources and a mounting list of projects. Fortra strives to be your trusted partner as you simplify your strategy, consolidate your technology stack, and harden security across all aspects of your environment. Fortra offers a comprehensive approach to security and automation that reduces the costly...
Blog

Database Transaction Log Management

Don't let database transaction logs weigh you down. Find out how to preserve data integrity and consume less disk space.
On-Demand Webinar

Quick and Easy IBM i Disk Space Management

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

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).