The mainframe produces a set of metrics far superior to any other platform. Unfortunately, there are significant barriers to unleashing the learning value of this SMF data, including legacy solutions that require writing new SAS programs to process the metrics unique to each infrastructure component.

Consider 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 and how quickly you could learn if you could easily explore the metrics produced by technologies that are outside your previous areas of expertise.

To help illustrate these points, this session will demonstrate visibility into metrics selected from numerous areas across the z/OS infrastructure, including:

  • Less well-known metrics such as crypto activity utilization (70.2) and global and local lock and enqueue serialization (72.5, 77)
  • Metrics that have historically not been the focus of in-house developed reporting such as XCF (74.2); zEDC hardware compression (74.9); MQ (115); TCP/IP (119.7)
  • And metrics for which the sheer volume of data has made traditional analysis very challenging such as Db2 (101) and CICS (110.1)

Watch this zAcademy session 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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