cma 2.1 roadshow 2015_11

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© Copyright IBM Corporation 2015 Technical 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 ' &nalytics Sol!tions #or + Systems

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7/23/2019 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

7/23/2019 CMA 2.1 Roadshow 2015_11

http://slidepdf.com/reader/full/cma-21-roadshow-201511 2/48

© 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$

7/23/2019 CMA 2.1 Roadshow 2015_11

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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

7/23/2019 CMA 2.1 Roadshow 2015_11

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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

7/23/2019 CMA 2.1 Roadshow 2015_11

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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$

7/23/2019 CMA 2.1 Roadshow 2015_11

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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)

7/23/2019 CMA 2.1 Roadshow 2015_11

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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

7/23/2019 CMA 2.1 Roadshow 2015_11

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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

CM& 4.

(!2 V11 (!2 V11

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store

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Cognos 10.2.2        

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Cl"stering

Cognos> &ctive/&ctive SSS> &ctive/Stanby T4S+> &ctive/Stanby

Modeler 3erver 

Cognos Con#ig"ration

Cognos Qbit

4PM %DM> 20QEMB

3eport rocesses> E

Threa 7igh/=o" &##inity> 2:E

Tomcat>

  ma8ThreasR150

minSpareThreasRQ

Modeler Client#Linu-

CPLEX

Cognos6rameorB

Manager 

7/23/2019 CMA 2.1 Roadshow 2015_11

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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+,

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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

7/23/2019 CMA 2.1 Roadshow 2015_11

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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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© Copyright IBM Corporation 2015

M"lti4lat#orm %nstaller ; 6eat"re basedInstaller

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© Copyright IBM Corporation 2015

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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© Copyright IBM Corporation 2015

(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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© Copyright IBM Corporation 2015

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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© Copyright IBM Corporation 2015

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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© Copyright IBM Corporation 2015

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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QQ

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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