Deriving Insights From New XCF Path Usage Metrics

4:00 - 5:00 PM EDT | Room: Hanover C
Presenters: Todd Havekost & Frank Kyne

XCF Transport Class Simplification functionality was implemented in z/OS 2.4, with an objective to eliminate the need for manually managed transport classes at most sites. This new functionality has been generally well-received and effective in accomplishing its objective of minimizing the XCF customization activity required by systems programmers.

In this session Frank and Todd will:

• Explain why you might need to make changes to your current setup
• Explore these new XCF path usage metrics
• Explain the XCF concepts behind the metrics
• Discuss ways to interpret the metrics to optimize your XCF configuration

Attendees of this session can expect to come away with a better understanding of how XCF operates in general, tips about how to optimize their environment for the new paradigm, and information about what can be learned from the new Path Usage metrics.

Mainframe Performance: An Observability Shootout

9:15 - 10:15 AM EDT | Room: Hanover D
Presenter: John Baker

During this session, leaders from Broadcom, IBM, Rocket, IntelliMagic, and BMC will show how they have raised the level of observability into the mainframe!!

Collaborate and solve problems faster with unified SMF analysis

1:15 - 2:15 PM EDT | Room: Piedmont
Presenters: Todd Havekost & Brent Philips

SMF data has the potential to provide great insights into the operation of components across the z/OS platform, but infrastructure teams face many challenges seeking to maximize the value they derive from that data so that they can deliver high levels of availability and performance. One key challenge is reporting software that is unique to each technology and challenging to learn. As a result, only the technical experts in each area are proficient in using their siloed tooling and interpreting their data. This creates significant barriers to collaboration and cross-team problem solving and learning.

This session will explore how SMF data analysis becomes far more effective when analysts have shared integrated visibility into many types of SMF data produced by components across the z/OS platform. Many real-life scenarios will be presented where findings provided by multiple data types combine to create actionable insights not available or apparent from individual data sources.