Ironstream for Splunk® Data Model for Mainframe

Data Model for Mainframe Best Practices when Using Ironstream for Splunk

The IBM mainframe is a mature computing environment. This business machine first appeared in the 1960s and has evolved over the decades into a rock-solid, powerful, and feature-rich platform ready for the latest technologies like Cloud, Mobile and DevOps. It is going to play a crucial role in developing areas like Blockchain, Artificial Intelligence (AI), & Machine Learning (ML).

Alongside these great technologies, a mainframe can also generate activity logs that record what is happening with both hardware and software resources. This information can be used to discover a wealth of information from status, to trends, to fault diagnosis – things that can be of vital importance for monitoring the health of business-critical systems.

On the face of it this sounds great. However, this log information can be complex. It requires a degree of mainframe knowledge and some consolidation of information to realize meaningful results. Users, especially those less familiar with the mainframe, can often struggle to make sense of this valuable resource.

Data model for mainframe – complete view of IT Operations

Precisely’s Ironstream Data Model for Mainframe was developed to help Splunk users – typically not mainframe experts – better understand these logs and how to integrate them with other data for a more complete view of their IT Operations.

Acting as an “intelligent lens” over existing indexed data, the data model’s categorized, ready-to-use and calculated fields make it easy for companies to quickly get real results from their mainframe metrics in Splunk.

Mainframes Underpin Critical Business Systems and Services

Today, large organizations use mainframes as key platforms for processing huge volumes of data, fulfilling trillions of transactions per day and hosting vast amounts of valuable business data.  These computing environments can be complex and keeping tabs on what is or is not occurring, and when, can be a challenge – especially when important services must be performed and available 24/7.

Download this technical white paper to learn more about how to:

• Use built-in Splunk tooling to get up and running quickly
• Broaden access to more team members without the need for deep mainframe knowledge
• Get results faster and realize valuable ROI sooner