Precisely has released a new technical white paper, Ironstream for Splunk® Data Model for Mainframe, which is now available for download.
The IBM mainframe is a mature computing environment. This business machine first appeared in the 1960’s 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.
When working with mainframe metrics in Splunk, it can be challenging to transition from raw to real results. Not everyone is a mainframe subject matter expert and not everyone is an in-depth Splunk user. Finding someone who can take a deep dive into both worlds is very rare.
Precisely’s Ironstream Data Model for Mainframe was developed to help Splunk users – who are 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.
Read our new white paper, Ironstream for Splunk® Data Model for Mainframe, to learn more about how you can:
- 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
