Morgan Oats

When trying to get approval for the right solution, it’s important to be able to show how you will get a good return on investment.

Root cause analysis for z Systems can be a confusing and timely process. With the right approach, more time is spent resolving the problem than finding it.

By applying artificial intelligence to IT operations in the performance and capacity discipline, problems are easier to understand, resolve, predict, and prevent.

Real-time z/OS performance monitors are often advertised as the top tier of performance management, but real-time alerts do not contain the intelligence needed to prevent disruptions in the first place.

Intelligent reporting on mainframe applications is very helpful to understand application performance and behavior on the mainframe, and how the applications are using your systems.

As 2018 nears its close, I wanted to reflect on the world of RMF/SMF performance analysis and provide an ode to the topics that resonated most within the industry.

For z/OS performance management, a stormy holiday season can mean excessive application downtime, lost revenue, customer frustration, and more.

A look back at SHARE St. Louis with links to all of the presentations and sessions we hosted.

Why is ensuring application availability and cost optimization on z/OS so difficult? The problem isn’t a lack of data. The challenge is in creating insights from RMF & SMF.

As the complexity of Information Technology has accelerated, one reaction has been to apply machine intelligence solutions (AIOps) to IT operations and performance management. Here are six use cases.