Top News

Terma Software Returns to ASAP University After Significantly Improving Workload Management for the IBM Workload Scheduler Community

March 25, 2019 Published by Jim Anderson

Terma Software is excited to announce its return as a subject matter expert at ASAP University, an annual conference of IBM Workload Scheduler (IWS) users. Before Terma Software released their workload analytics solution for IWS last year, the IWS customer base lacked visibility into complex, multi-vendor and multi-platform workload environments. Fortunately, Terma’s AIOps platform has been able to address this pain point for IWS users, thanks to its single-pane-of-glass view across job schedulers and distributed and mainframe environments.

Read More

The Challenge with Outsourcing IT Operations and Workload Automation

March 14, 2018 Published by Jim Anderson

Many organizations outsource the operations of their IT Operations for various reasons, including lowering operating costs, improving service, and freeing up resources to address more strategic needs in the organization. While many organizations claim to meet the goals of their outsourcing arrangements as a whole, typically several areas within operations don’t meet expectations. One specific area where I’ve seen this happen, more often than not, is in the area of workload automation, particularly in the areas of monitoring and reporting.

Read More

Why IT Analytics Matter to Workload Automation

February 5, 2018 Published by Jim Anderson

...While virtually every area of your business and most areas of IT are embracing analytics, the area of workload automation does not. Some use historical run data to develop trends using a spreadsheet approach, however, this is only an after-the-fact band-aid that can tell you that you have already failed or that you might somewhere eventually fail. It cannot point out specific future problem areas or provide you with accurate predictions for processing times and capacity utilization. With analytics, problem resolution for long running or failed processing is much easier; it can reduce meantime to repair by up to 99%, and limits the amount of human capital required to diagnose the problem. Workload Analytics can also help developers and engineers build better workload processes and redesign current processes for more efficiency and higher reliability...

Read More