cma 2.1 roadshow 2015_11
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© Copyright IBM Corporation 2015Technical University/Symposia materials may not be repro!ce in "hole or in part "itho!t the prior "ritten permission o# IBM$
Capacity Management
Analytics V2.1
November 19, 2015
%aime &naya ' (anaya)!s$ibm$com
Technical *##ering Manager ' &nalyticsSol!tions #or + Systems
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© Copyright IBM Corporation 2015
Agenda
IBM Capacity Management &nalytics ,CM&-
*vervie"
.hat is CM&
.hats ne" in CM& 2$1
Installer
Systems Management *ptimi+ation
roblem &nalysis
3eal Time &nomaly 4etection
Capacity lanning an orecasting
So#t"are Cost &nalysis
&pplication &nalytics
3eso!rces an 4irection
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Te !"siness o# $%T& is N' (i##erent)
Sales
Mar6eting
C!stomer Service
inance
*perations
ro!ct4evelopment
7!man3eso!rces
&ct on c!stomer insights inreal time
Sell the right pro!ct to theright c!stomer at the right
time
*ptimi+e c!stomer callsprevent ch!rn
Increase cross sell
*ptimi+e sta##ing mi89re!ce employee t!rnover
.or6 on scenarios toalign evelopment
reso!rces
IT
4rive gro"th an pro#it thro!ghreso!rce alllocation
comply "ith con#ience
Manage rollinge8penses
7ave real time visibilityinto stoc6 levels
rovie iscovery an
planning tools to re!ceerror:prone spreasheet "or6
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© Copyright IBM Corporation 2015
*at is Capacity Management+
(e#inition #rom %T% -%T %n#rastr"ct"re ibrary
V/ Capacity Management consiers all reso!rces re;!ire to eliver the IT service9
an plans #or short9 mei!m an long term b!siness re;!irements$
Capacity Management aims to ens!re that the capacity o# IT services an the IT
in#rastr!ct!re is able to eliver the agree service level targets in a cost e##ective
an timely manner$
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© Copyright IBM Corporation 2015
USE CASES
AIX
Servers
DISCOVER | FORECAST | OPTIMIZE
System
&ministrator Capacity lanner
IT Manager
Windows
Linux Servers
z Ss!e"s
DATA CE#TER
ManageSoftware
Costs
Managecapacity ofthe entire
Data Center
SupportLOB
/applicationChargeback
DetermineFuture
CapacityReuirement
s
Capacity Management Analytics
Capacity Management &nalytics ,CM&-
Detect !ransaction"nomalies
Z So$!w%re Midd&ew%re S!%'(
Te %T Analytics lat#orm #or Cost e##ective, optimal "se o# %T %n#rastr"ct"re
capacity Today, tomorro, beyond
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© Copyright IBM Corporation 2015
Capacity Management Analytics V2.1
CMA Platform
CMA Solution
Cognos BI SPSS
DB2
CPLEX
TDS for z/OS
Systems
Management
O!timization
Soft"are Cost
Analysis
Ca!a#ity
Planning an$
%ore#asting
Pro&lem
I$entifi#ation
A!!li#ation
Analyti#s
IBM DB2
Analyti#s
A##elerator
'ser
Define$
3eport Templates
SSSMoel
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Capacity Management Analytics V2.1
CMA Platform
Cognos BI SPSS
DB2
CPLEX
TDS for z/OS
IBDB2
Analyti#s M
A##elerator
SSSMoel
CMA Solution
Systems
Management
O!timization
Soft"are Cost
Analysis
Ca!a#ity
Planning an$
%ore#asting
Pro&lem
I$entifi#ation
A!!li#ation
Analyti#s 'ser
Define$
3eport Templates
'ptional
%!M (!2 Analytics
Accelerator,
4ramatically accelerate
the analysis o# yo!r
ata center !sage
per#ormance ata
Cognos !"siness %ntelligenceprovies the range o# analysis
capabilities necessary #or optimi+ing
+<nterprise
CMA 3ol"tion
!"ilt4in epertise via reports andmodels to spee !p time to val!e
6"lly c"stomi7able toaccommoate yo!r speci#icenvironment
333 Modeler it 3coring
Adapter can help yo! !se preictive
analytics to #orecast #!t!re re;!irements an
moel e8pecte "or6loa behavior$333 3coring Adapter #or (!2 #or
78'3 provies real:time anomaly etectionTivoli (ecision 3"pport #or 78'3 enables some ata collection an parsing
#or the sol!tion an b!ils the base
"areho!se in 4B2 #or +/*SC: optimi7ation st"dio provies
capabilities to optimi+e the !se o# IT reso!rces by
pro!cing a best possible con#ig!ration9 action
plan9 or sche!le o# reso!rces$
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CMA Solution
Capacity Management Analytics V2.1
CMA Platform
Cognos BI SPSS
DB2
CPLEX
TDS for z/OS
Systems
Management
O!timization
Soft"are Cost
Analysis
Ca!a#ity
Planning an$
%ore#asting
Pro&lem
I$entifi#ation
A!!li#ation
Analyti#s 'ser
Define$
3eport Templates
SSSMoel
Multiplatform
PIDs:D11AYLL (Lic+12m
S&S)
&
D11AZLL (S&S)
z/S PIDs:
!"#$%MA (Lic+12m S&S)
&
!"#$%AA' (S&S)
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CMA %(s ; CMA v2.1 #or 78'3 vs CMA #or (istrib"ted
%!M Capacity Management Analytics on 78'3, V2.1
&nno!ncement =etter U3= > https>//ibm$bi+/B?t#;
Shop@ pro!ctA ro!ct Ienti#ication !mber / rogram !mber > 5<9=4CMA
A S!bscription an S!pport I4 n!mber > 5<9=4AA>
Incl!e pro!cts IIBM Tivoli 4ecision S!pport #or +/*S D1$E$2
IBM Cognos B!siness Intelligence #or 78'3 D10$2$2
IBM SSS Moeler Fol "ith Scoring &apter #or + SystemsG D1H$0
Moeler9 Collaboration an 4eployment Services9 Scoring &apter #or 4B2 +/*S IBM I=*F C=<? *ptimi+ation St!io D12$$2
IBM Capacity Management &nalytics Sol!tions Jit D2$1
re re?sA IBM 4B2 +/*S D10 or D11 ,re;!ire "/ I4&&-A
IBM Tivoli 4ecision S!pport #or +/*S D1$E$2
re re?s
A IBM 4B2 +/*S D10 or D11 ,re;!ire "/ I4&&-
%!M Capacity Management Analytics V2.1
&nno!ncement =etter U3= > https>//ibm$bi+/B?t#g
assport &vantage pro!ct
A
ro!ct rogram n!mber > 5>254M>2 A IBM Capacity Management &nalytics DU =icense K S. S!bscription S!pport 12 Months > (11A@
A IBM Capacity Management &nalytics DU &nn!al S. S!bscription S!pport 3ene"al > 0%!9
Incl!e pro!cts IBM Cognos B!siness Intelligence D10$2$2
IBM SSS Moeler Fol D1H$0
Moeler9 Collaboration an 4eployment Services
IBM I=*F C=<? *ptimi+ation St!io D12$$2
IBM Capacity Management &nalytics Sol!tions Jit D2$1
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+1L+1L
!DS#$%&'&(
)"cti$e*
!DS#$%&'&(
)stan+by*
DRD" ,rotocol
ecommended CMAple deployment
#/OS #/OS
Co!pling
#acility
A Con#ig"ration
<ngines> 2Cs9 2+IIs
Memory> L2FIFA Cognos ' 1FA 4B2 ' EFA T4S+ ' 2F ,10 conc!rrent (obs-A Sa#ety b!##er ' F
T(37 Con#ig"ration
B!##er Si+e> 200M ' 00M
Commit &#ter 25000 recors
Tables artitione by 3ange
MDSNSOST<MNI4
3o" =evel =oc6ing> 43=SOS$43==*F4&T&S<TS
Tablespaces> on:logge9 =oc6ing> &O
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Content
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store
Cl"stering
Cognos> &ctive/&ctive SSS> &ctive/Stanby T4S+> &ctive/Stanby
Modeler 3erver
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Threa 7igh/=o" &##inity> 2:E
Tomcat>
ma8ThreasR150
minSpareThreasRQ
Modeler Client#Linu-
CPLEX
Cognos6rameorB
Manager
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© Copyright IBM Corporation 2015
(ata sed in CMA 3ol"tion eports, 6orecasting and 'ptimi7ation
MF
MF
Table TABLESP
Vol Description Reports
0
0
KPMZ!"B#$T%
MVSPMLPAR%
MVSPMS&STEM%
MVSPMLPARMS'T
DRLSKZ!(
DRLSMP)
DRLSMP*
DRLSMP)A
%i+,
-ol./
e
lo
Ke1 Per2or/ance
#nicators on
aress space
RMF Processor
Acti-it1
Application Anal1tics
CEC4LPAR 'tili5ation6
5Ser-er6 SCA
MVSPMPA8#$8% DRLSMP(( Pa+in+ Acti-it1 5Ser-er Monitorin+
Das,boar
( MVSPM8"ALACT%
MVSPM9"RKL"AD(%
DRLSMP3
DRLSMP3:
,i+, RMF 9or;loa
Acti-it1 < Stora+e
9LM reports
3 MVSPMC%A$$EL% DRLSMP07 ,i+, RMF C,annel Pat,
Acti-it1
5Ser-er Monitorin+
Das,boar
) MVSPMDEV#CE% DRLSMP ,i+,
= MVSPMVSCSAS>A% DRLSMP(? RMF Virt.al
Stora+e an #4"
Stora+e reports
? MVSPMPR"DTMVSPMPR"T#$TT
DRLSMPBDRLSMP)C
lo Pro.ct MS'.tili5ation
SCA
0) @P"PERAT#$8S&S@#
@P A6966Z6 @# %6T
DRL lo Distrib.te
s1ste/s C#M
a+ents
Distrib.te s1ste/s
0 C#CSTTRA$T DRLSC'0 ,i+, C#CS statistics C#CS Ano/al1
Detection
? TCPTCPSERVP"RT% DRLSTCP0 ,i+, $etor; Reportlet
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© Copyright IBM Corporation 2015
C,.
M,S
Memory
Storage0
LM
1etwork
Vision 3marter (ata Center Management
Application
Analytics
Cost
Analysis
Anomaly
Detection
EnterpriseCapacity
Management,
Planning
and Optimization
Foundation
Ease of Use
CMA 1.1 1.!
7 3ystems
(istrib"ted 3ystems ManagementA =in!8 #or System +A =in!8 on 8EA &I?A .ino"s on 8E
CP"E# optimized "PA$
Policy %&eig't( settings Over/Under Share Weight Dynamic/Selectable Capacity
(CPU/MIPS) formla! @1L rame"or6 Mgr Mapping "ll ID## Compatibility
Applications Analytics)A CPU and M*P+ UsageA zO+ and Distri-uted +ystems
3egistere ro!ct
S!mmary .or6space
CICS Transaction &nomaly 4etection
Moels Batch Scoring
+<nterprise M=C I=& s!b:capacity
MSU/cost analysis ro!ct cost/MSU #orecasting
ro!ct cost optimi+ation recommenation <nterprise S!mmary 4ashboar
Cognos .or6space <nterprise/4ata Center Monitoring
4ashboar er#ormance
<nhance Installation Improve an consistent UI
Improve moeling #or better
acc!racy
CMA !.1
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© Copyright IBM Corporation 2015
M"lti4lat#orm %nstaller
A*vervie"A FUI to Install an con#ig!re CM& Sol!tion Jit on .ino"s9 +lin!89 +/*S
A Scope
A 4o plat#orm component to component con#ig!ration
A Create CM& atabase
A 4eploy #eat!re ob(ects
A 3!n #eat!re streams
A <asy to organi+e/manage CM& Sol!tion
A Migration
A 3estrictions
A Installer m!st be co:locate "ith Cognos
A &!tomatic con#ig!ration only #or components co:locate "ith installer
A ee to #tp con#ig!ration ob(ects i# cross plat#orm
A CM& prere;!isite sho!l be reay be#ore installation
A ee man!al steps #or s!bse;!ence installation
A Migration not #!lly a!tomate an only #or atabase ob(ects
A Silent install on +/*S ,no FUI- a#ter SM/e installation
A CM& lat#orm component installation not yet s!pporte
Installer
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M"lti4lat#orm %nstaller ; 6eat"re basedInstaller
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M"lti4lat#orm %nstaller ; A"tomatic Con#ig"rationInstaller
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%!M Capacity Management Analytics
A <8ec!tives an managers ' level ashboars
A <n:to:en vie" o# yo!r enterprise lanscape> main#rame &4 istrib!te
A 3ole:base c!stomi+e vie"s to analy+e9 vis!ali+e an ma6e in#orme ecisions$
uestion) Do you 'a/e !02 /isi-ility on your enterprise capacity3
Systems
Management
O!timization
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(istrib"ted Components
A =in!8 #or System +A CU Usage reportA Memory Usage report
A =in!8 #or System ?
A CU Usage reportA Memory Usage report
A &I?A CU Usage reportA Memory Usage report
A .ino"s
A CU Usage reportA Memory Usage report
A <nterprise 4ashboar "or6spaceA Sho"s high level in#ormation #or all the
s!pporte servers across the enterprise$
Systems
Management
O!timization
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3ystems Management and 'ptimi7ation
MIPS Used – zServer/LPAR level (calculation methods)
Systems
Management
O!timization
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3ystems Management and 'ptimi7ation
MIPS Used – LPAR Level by LM Im!ortance
Systems
Management
O!timization
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A System + Integrate In#ormation rocessor ,+II-
System + &pplication &ssist rocessor ,+&&-
A Specialty processors have lo"er har"are
ac;!isition costs an +IIs +&&s ont impact
so#t"are pricing base on capacity
Systems
Management
O!timization
uestion) Are you getting t'e
most out of your z**P engines3
%!M Capacity Management Analytics
A rescriptive recommenation o#
=&3 olicy$
A &naly+e "hether !tili+ation is
over/!ner yo!r g!arantee share
A .hat:i# analysis o# i##erent target
eman "or6loa to ma6e best
!se o# available capacity$
uestion) Are you getting t'e most
out of your mainframe 3
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A *eigt 'ptimi7ation 3cope and estrictions
A *vervie"
A rescribe more e##ective =&3 policy ,"eight val!es- optimi+e #or the eman
"or6loa : "or6 that m!st r!n on the =&3 base on priority ,importance levels-
A Scope
A Inp!t ata can be 2:5 ays ,oes not nee to be contin!o!s- "hich best
represent the pea6 an competing eman "or6loas among =&3s
A S!pports optimi+ation o# m!ltiple ate perios ,one si+e oes not #it all-A 3es!lts sho"n in report ,CU>=&3 .eight *ptimi+ation 3!n 3es!lt-$
A Use other CM& reports to etermine the inp!t in#ormation to o the optimi+ation
,CU>MIS Use 'Service Class erio =evel9 CU>MIS Use '=&3 =evel by .=M
Importance9 CU>*ver/Uner Share .eight ' CC by =&3-
A 3estrictions
A *nly s!pport certain process type ,C9 +II9 +&&9 I=-
A Importance level !se #or =&3 "ith +/*S only ' c!stomer s!pplie V eman
"or6loa !se #or all other =&3s
A The total "eight percentage o# =&3s is 100V : m!st loo6 at all e#ine =&3s
Systems
Management
O!timization
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Ss!e"s M%n%)e"en! %nd O*!i"iz%!ionLPAR ei"ht #!timization Run Result
Systems
Management
O!timization
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Ss!e"s M%n%)e"en! %nd O*!i"iz%!ion#ver/Under Shared ei"ht – $P$ by LPAR
Systems
Management
O!timization
Determine a(aila&le ")ite s!a#e &y #om!aring target *$eman$+ "or,loa$ against total "or,loa$-
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%!M Capacity Management Analytics
Start "it) a to!.$o"n
&ig !i#ture (ie"
T)en $rill $o"n
to greater $etail to
i$entify !otential
#a!a#ity !ro&lem
Perform sim!le a$ )o#
analysis to !re$i#t!otential issues &efore
t)ey im!a#t t)e &usiness
* e e B A g g r e g a t i o n
1 0 M i n " t e A g g r e g a t i o n
Pro&lem
I$entifi#ation
uestion) Can you 4uic5ly identify 6'ere pro-lem mig't 'appen3
3eal Time
Scoring
SM ata
Dete#t !otential !ro&lems &efore t)ey
)a!!en an$ ta,e a#tion to !re(ent t)em
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Near eal4Time Anomaly (etection
#or C%C3 transactoins
Pro&lem
I$entifi#ation!ased on transaction C "tili7ation and elapsed time
Mo$el Ty!es
A C)ain
A Linear
A 0eural 0et"or,
Mo$el Ty!es
A i%orest
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%!M Capacity Management Analytics
Dynamically select your standard
formula for capacity planning or compare between formulas to find the one
that best fits your requirements.
CMA uses predictive analytics to )el!
organizations use t)eir $ata to ma,e &etter
$e#isions &y $ra"ing relia&le $ata.$ri(en
#on#lusions &ase$ on !ast an$ #urrent
e(ents-
Future capacity re1uirements #an
&e fore#aste$ to )el! ensure t)at
suffi#ient #a!a#ity is a(aila&le ")en t)e
&usiness nee$s it-
Ca!a#ity
Planning an$
%ore#asting
uestion) &ould * 'a/e enoug' capacity to 'andle my -usiness gro6t' in
t'e net t'ree mont's3
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Ansers cost ?"estions s"c as
A o" mu#) MS' is #onsume$ in LPA34s5an$ ")ere is t)e &illa&le !ea,6 7)i#)!ro$u#ts #ontri&ute to t)e !ea, an$ &y)o" mu#) MS'6
A o" mu#) s)oul$ &e &ille$ on t)e ")olez ma#)ine 4CEC5 for SC3T #y#les6 or
ot)er $ate ranges6
A 7)at is t)e total &illa&le MS' an$ #ost forall z ma#)ines in an enter!rise6
Better manage z/OS software costs
dentify where and when wor!loads need to be ad"usted Determine when additional capacity is required
Soft"are Cost
Analysis
%!M Capacity Management Analytics
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3o#tare Cost Analysis ; Tree 3cenarios
Optimized) Sgge!t alternative$P#% / prodct configration! to
ta&e advantage of 'hite !pace and
redce billable MSU 'here po!!ible
'bserved Trac6 pro!ct MSU !sage ancosts at =&3 an Server level9 ienti#ying
pea6 intervals an trac6ing Q ho!r rolling
average ,Q73&-$
6orecasted reict #!t!re MSU
an cost !sage base on
#or"ar !tili+ation moel$
Soft"are Cost
Analysis
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3o#tare Cost Analysis 3"mmary
#bserved
Soft"are Cost
Analysis
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3o#tare Cost Analysis 3"mmary
%orecast
Soft"are Cost
Analysis
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3o#tare Cost Analysis 3"mmary
%orecast &&
Soft"are Cost
Analysis
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3o#tare Cost Analysis
#bserved LPAR MSU Utilization
Soft"are Cost
Analysis
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3o#tare Cost Analysis
Product MSU and Price
Soft"are Cost
Analysis
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3o#tare Cost Analysis 3"mmary
'# Product MSU and Price
Soft"are Cost
Analysis
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3o#tare Cost Analysis 3"mmary
'# Product Matri*
Soft"are Cost
Analysis
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© Copyright IBM Corporation 2015
Dealt *arning
A Moving .or6loas is not so simpleW
A There are o#ten application epenencies
hien #rom pro!cts li6e CM&
A e$g$ CICS transaction a##initiesA CM& allo"s !sers to speci#y "hich
pro!cts m!st be 6ept on same =&3
A Traitional methos #or re!cing
MIS are still importantA e$g$ application t!ning9 SP= optimi+ation
Soft"are Cost
Analysis
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3o#tare Cost Analysis ; Additional Notes
A 4oes *T replace SC3T
A Uses the same ata same r!les
A ees the SC3T *EX listings
A ricing Str!ct!res S!pporteA M=C
A I=&> <8ec!tion Base9 3e#erence Base9 +*S Base
A I.
A FSS
A =icense Charges S!pporte
A &.=C9 &<.=C9 M.=C9 D.=C9 <.=C9 +&=C9A DU<0019 DU<00H9 DU<0209
A Monetary Dal!e
A orecasting MSUs at the =&3 ro!ct level
A =oo6ing into *ptimi+ations 3ecommenations
Soft"are Cost
Analysis
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LE
e +no, ,hat you(r a!!lications) did last summer
- and this summer
- and ho, much
- and ,here
A!!li#ation Analyti#s
Application Analytics
*vervie"
A rovies the ability to trac69 preict an improve !tili+ation o# e8isting server reso!rces ,CU- by e#ineapplications or lines o# b!siness$
May help "ith eveloping a charge bac6 process
Scope
A 7ierarchical an le8ible mapping to either 3eport Classes or %obnames !nctions o# &pplication that r!n in an environment
A Mapping occ!rs !ring report e8ec!tion9 not harene in the ata
A Utility ,stream- provie to etermine transaction capt!re ratio #or CICS an IMS
3estrictions
A &ss!mes istrib!te server r!ns a single application
A 4oes not sho" application sprea across istrib!te an main#rame
A orecasting available only at application #!nction level
li i
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Application AnalyticsA!!li#ation
Analyti#s
Ans,ers .uestions such asA o" mu#) MIPS $o your a!!li#ations #onsume6A o" $o t)ey #om!are mont) to mont)6A 7)i#) a!!li#ations are gro"ing6 o" mu#) s)oul$ I #)arge &a#,6
A li i
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Application Analytics 6orecastingA!!li#ation
Analyti#s
Ans,ers .uestions such asA o" mu#) future #a!a#ity is re1uire$ for an a!!li#ation6
A li ti
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Application Analytics
MIPS Used by A!!lications in an LPAR by day
A!!li#ation
Analyti#s
A li ti A l tiA li ti
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Application Analytics
A!!lication Summary $PU usa"e
A!!li#ation
Analyti#s
A!!li#ation
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Application Analytics
0istributed $PU Usa"e
A!!li#ation
Analyti#s
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3esour#es
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%!M Capacity Management Analytics 4 3ervices E d"cation
F"icB 3"ccess 3ervices
To ens!re #ast time:to:val!e an lo"er ris69 enables c!stomers to ;!ic6ly an e##icientlyeploy the sol!tion "ith IBM proven practices$ <8perience IBM specialists "or6 closely "iththe c!stomer to install an tailor the CM& sol!tion$
C"stomi7ed eport Creation 3ervices
Beyon the CM& P!ic6 .in Implementation service an training options9 IBM also o##erscomprehensive c!stomi+ation services #or aitional reporting an preictive analyticsre;!irements !ni;!e to yo!r c!stomers nees$
d"cation
IBM o##ers a variety o# training options ranging #rom instr!ctor:le to sel#:pace virt!al classesto s!it yo!r nees an b!get$ This incl!es training on Cognos B!siness Intelligence #orintro!ctory an avance reporting s6ills an SSS #or preictive moeling$
7ighly
3ecommene
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d"cation 3ervices
ecommended 333 and Cognos !"siness %ntelligence -!aseline Training #or 1 ser
333 Modeler -G days ; 3el# aced Virt"al Co"rse
• Intro!ction to IBM SSS Moeler an 4ata Mining ,v15- : 0<00Q> 2 ays• &vance 4ata reparation !sing IBM SSS Moeler ,v15- ' 0<05Q> 1 ay• Cl!stering an &ssociation Moeling "ith IBM SSS Moeler ,v15- ' 0<0Q2> 1 ay
Cognos !"siness %ntelligence -10 days 4 3el# aced Virt"al Co"rse
• IBM Cognos rame"or6 Manager> 4esign Metaata Moels ,v10$2- ' %2252> 5 ays• IBM Cognos 3eport St!io> &!thor ro#essional 3eports !namentals ,v10$2- ' %225E> L
ays• IBM Cognos 3eport St!io> &!thor ro#essional 3eports &vance ,v10$2- ' %225X> 2 ays
NoteA &itional Sel# ace Dirt!al Co!rse cost per !ser aitionalA BI Training can be ta6en base !pon !ser role> &ministrator9 3eport .riter9 etc
Tivoli (ecision 3"pport -Hnoledge Trans#er 3ession
A Intro!ction an InstallationA =og Collector an the 3eportsA 4atabase *vervie"A Component 4etails an &vance Topics
Q
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QH
7 E & 8
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