BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:16011104T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010311T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CLASS:PUBLIC CREATED:20190617T195159Z DESCRIPTION:Session Description: We in the mainframe community know that ou r platform produces an incredibly extensive set of metrics\, far superior to any other platform\, but have you considered the learning potential tha t could be unleashed if you had easy access and visibility into the multit ude of types of data across the broad scope of z/OS infrastructure?\n \nIm agine how much you could learn if you could explore the metrics produced b y technologies that are outside your previous areas of expertise using a c ommon intuitive user interface used across the entire mainframe platform ( as opposed to the siloed tooling that is prevalent today). Consider the in sights you could rapidly gain about how your environment is actually opera ting when based on findings from the current view you could dynamically "z oom in" on a specific subset of the data to focus your analysis. And if th at line of analysis proved unfruitful\, immediately begin investigating a different hypothesis by selecting another metric by which to drill into th e data.\n \nTo help illustrate these points\, this session will introduce visibility into metrics selected from numerous areas across the z/OS infra structure\, including some metrics that are less well known (crypto activi ty utilization (70.2)\; global and local lock and enqueue serialization (7 2.5\, 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 report s very challenging (Db2 (101)\; CICS (110.1) ). \n \nCome to this session to gain a vision for how rapidly you could leverage easy visibility into R MF and SMF data to expand your understanding of how the z/OS ecosystem ope rates\, and to renew the passion that led you to enter the disciplines of performance analysis or infrastructure support in the first place. \n \ nLocation: Room 315-316\n \nSpeaker: Brent Phillips\, Todd Havekost\n \n DTEND;TZID="Eastern Standard Time":20190806T151500 DTSTAMP:20190617T195159Z DTSTART;TZID="Eastern Standard Time":20190806T141500 LAST-MODIFIED:20190617T195159Z LOCATION:Room 315-316 PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-us:VSP: Do You Realize How Much and How Quickly You Can Learn (about almost anything) from RMF and SMF Data? TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000B06E223C1825D501000000000000000 010000000D878787007785444A2B2F884382EC07E X-ALT-DESC;FMTTYPE=text/html:
Session Description: We in the mainframe commun
ity know that our platform produces an incredibly extensive set of metrics
\, far superior to any other platform\, but have you considered the learni
ng 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 infras
tructure?
Imagine how much you could learn if you could explore the
metrics produced by technologies that are outside your previous areas of e
xpertise using a common intuitive user interface used across the entire ma
inframe 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 co
uld dynamically "\;zoom in"\; on a specific subset of the data to
focus your analysis. And if that line of analysis proved unfruitful\, imme
diately begin investigating a different hypothesis by selecting another me
tric by which to drill into the data.
To help illustrate these point
s\, this session will introduce visibility into metrics selected from nume
rous areas across the z/OS infrastructure\, including some metrics that ar
e less well known (crypto activity utilization (70.2)\; global and local l
ock and enqueue serialization (72.5\, 77) )\, others that have historicall
y not been the focus of in-house developed reporting (XCF (74.2)\; zEDC hardware compression (74.9)\; MQ (115)\; TCP/IP (1
19.7) )\, and some for which the sheer volume of data has made traditional
approaches to analysis based on catalogs of static reports very challengi
ng (Db2 (101)\; CICS (110.1) ).
Come to this session to gain a visi
on for how rapidly you could leverage easy visibility into RMF and SMF dat
a 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 an
alysis or infrastructure support in the first place. \; \; \;
Location: Room 315-316
Speaker: Brent Phillips\, Todd Havekost
< o:p> \;