94076: PSP: Collaborate and solve problems faster with unified SMF analysis
Project and Program:
SHARE-wide Events,
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SHARE Atlanta 2023
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.
Examples where analysis is enhanced by seeing the "big picture" from combined
data types may include: "¢ WLM service class goals (RMF 72.3) and CICS
transaction (SMF 110.1) "¢ Dataset performance (SMF 42.6) and Db2 buffers pools
and databases (SMF 100/102) "¢ Address space (SMF 30) and Db2 accounting (SMF
101) "¢ CICS transaction (SMF 110.1) and Db2 accounting (SMF 101) "¢ z/OS large
frames (RMF 71) and Db2 buffer pools (SMF 100) "¢ MQ accounting (SMF 116) and
CICS transaction (SMF 110.1) "¢ XCF activity (RMF 74.2) and "almost everyone" "¢
Coupling Facility (RMF 74.4) and Db2 & others This session will expand your
awareness of ways your analysis can benefit from combining insights across z/OS
data types. And you can also expect to grow your understanding of disciplines
outside your area of specialization and how to leverage that knowledge to
improve your overall operation.
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