Do You Realize How Much You Can Learn (about almost anything) from RMF & SMF Data?

We in the mainframe community know that our platform produces an incredibly extensive set of metrics, far superior to any other platform. But have you considered the learning potential that could be unleashed if you had easy access and visibility into the multitude of types of data across the broad scope of z/OS infrastructure?

Imagine how much you could learn if you could explore the metrics produced by technologies that are outside your previous areas of expertise using a common intuitive user interface used across the entire mainframe platform (as opposed to the siloed tooling that is prevalent today). Consider the insights you could rapidly gain about how your environment is actually operating when based on findings from the current view you could dynamically “zoom in” on a specific subset of the data to focus your analysis. And if that line of analysis proved unfruitful, immediately begin investigating a different hypothesis by selecting another metric by which to drill into the data.

To help illustrate these points, this webinar will introduce visibility into metrics selected from numerous areas across the z/OS infrastructure, including some metrics that are less well known (crypto activity utilization (70.2); global and local lock and enqueue serialization (72.5, 77) ), others that have historically not been the focus of in-house developed reporting (XCF (74.2); zEDC hardware compression (74.9); MQ (115); TCP/IP (119.7) ), and some for which the sheer volume of data has made traditional approaches to analysis based on catalogs of static reports very challenging (Db2 (101); CICS (110.1) ).

Join this webinar to gain a vision for how rapidly you could leverage easy visibility into RMF and SMF data to expand your understanding of how the z/OS ecosystem operates, and to renew the passion that led you to enter the disciplines of performance analysis or infrastructure support in the first place.

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