Infomercial: IBM's New Capacity Planning Tools

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25 Νοε 2013 (πριν από 3 χρόνια και 11 μήνες)

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© 2010 IBM Corporation

Business Analytics on System
z



Capacity Management
Solution


Dave Jeffries
-

WW
Business Analytics on System z

© 2010 IBM Corporation

Business Analytics

Agenda



Introduction



The Solution



The Value



Questions/Next Steps

© 2010 IBM Corporation

Business Analytics

3

What is your capability to plan?


We have a firm grasp on our growth projections and use a tool to manage and monitor our
existing capacity & growth.



We have a reasonable idea of our growth and yet believe we could do more. We are using a
vendor

s tool to monitor our current situation but would like to be better prepared.



We are concerned about our current future capacity planning methodology as we intend to
grow our use of the mainframe and need better guidance and predictability.



We are using SAS/MXG and are looking for a replacement at a lower cost and with newer
function.



We don

t use any tools/automation and feel we should.

© 2010 IBM Corporation

Business Analytics

4

Changing your vision


The IBM solution is intended to create a better vision for the

enterprise customer including the ability to predict where you will be or

might go if you had different scenarios to test.



It is intended to match as many of the existing SAS/MXG functions and features as possible in
Release 1 and will be enhanced over time.



Rather than compare feature for feature, think in terms of what you will be able to do over time
with less cost and greater flexibility.



The IBM solution is not intended to be a full SAS replacement option; that will require
significantly more resources and services though it can be done if you so desire.

** Internal Use Only **

© 2010 IBM Corporation

Business Analytics

Introduction


Customer X is seeking an alternative to its current capacity management solution.


An alternative solution should:



Meet or exceed the capabilities of the current environment.



Provide a cost effective approach.



Be extensible and grow in accordance with Customer X’s IT & Business Strategy




© 2010 IBM Corporation

Business Analytics

Customer X Capacity Management Today

Syst
e
m
Z
zO
S
SMF

So
u
rce
s
SAS
C
o
mp
o
n
e
n
t
s
MXG

U
t
i
l
i
t
i
e
s
MXG
-D
a
t
a

Pre
p
a
ra
t
i
o
n
SAS
D
a
t
a

Se
t
SAS-Ba
se
SAS-R
e
p
o
rt
i
n
g
U
se
r
SMF

So
u
rce
s
SMF

D
ASD
R
MF
R
AC
F
Other
MXG

F
i
l
t
e
r
MXG

Pa
rse
r
SMF

T
APE
CA
-
MICS

© 2010 IBM Corporation

Business Analytics

Agenda



Introduction



The Solution



The Value



Questions/Next Steps

© 2010 IBM Corporation

Business Analytics

IBM Capacity Management for System z


Effective cost control and management


Determine & monitor production capacity


System utilization


Operating System & sub systems


Monitor application usage


Charge backs


Maintain service level agreements



Predictable planning for growth


What if scenario modeling


Impact of


Application standardization


Server consolidation


Upgrade predictability


Incremental application growth


Facilitate orderly growth



Support emerging trends


Enterprise Cloud Computing


Predict the impacts of User On
-
boarding


Business Analytics solution management




© 2010 IBM Corporation

Business Analytics

Capacity Management Solution


More Detail


IBM solution involves four parts:


An extractor to read, parse, and rationalize the SMF data to replace SAS/MXG (MICS)


A repository to hold the normalized data to replace SAS data sets


A

reporting engine to replace the current SAS programmed reports.


Simulation and analytics engines
to (1) optimize performance level and (2) understand
causal factors impacting performance at the
application level
.


Those parts will be satisfied as follows:


Tivoli Decision Support for system Z (TDSz)
will read, normalize, and store the data


DB2 on zOS (DB2)
will serve as the repository for the data


Cognos 10 Business Intelligence
, (C10BI), reporting engine will be the reporting platform


SPSS Statistics and Modeler
will perform predictive analytics at the application level and
integrate with Cognos 10 BI.


Pre
-
built standard reports


Solution package will include all the pieces necessary to build a reporting infrastructure
across the managed environment


Optional:


Services to install, configure and build additional reports


Migrate the customer from the current solution and preserve existing information

© 2010 IBM Corporation

Business Analytics

IBM Capacity

Management for


System z

SPSS Statistics 19

Predictive analytics
& Modeling

IBM Cognos 10

On
-
demand Reporting

System z

HIstorical

Data
Conversions

Forecasting
Reports

Capacity
Management
Reports

Support
Emerging
Trends

Predictable
Planning for
Growth

Effective Cost
Control and
Management


Tivoli Decision Support z/OS

DB2 z/OS

Industry leading
solutions

Leading edge
infrastructure

The services to
get started right
away

Complete
Investment
Protection

z/OS System
Utilization


Monthly
Processor
Utilization


Linux for System z

z/OS

© 2010 IBM Corporation

Business Analytics

Customer X Capacity Management Proposed Solution

Syst
e
m
Z
zL
i
n
u
x
zO
S
D
B2
SPSS
St
a
t
i
st
i
cs
D
B2
St
a
t
s-
An
a
l
yt
i
cs
St
a
t
s-
R
e
p
o
rt
i
n
g
U
se
r
D
B2

D
a
t
a

Pre
p
a
ra
t
i
o
n
T
D
Sz
T
D
Sz
F
i
l
t
e
r
T
D
Sz
Pa
rse
r
T
D
Sz
D
a
t
a

Pre
p
a
ra
t
i
o
n
SMF

So
u
rce
s
SMF

So
u
rce
s
SMF

D
ASD
R
MF
R
AC
F
Other
SMF

T
APE
C
o
g
n
o
s
R
e
p
o
rt
i
n
g
R
e
p
o
rt
i
n
g

&
An
a
l
ysi
s
Cubing
SPSS

Predictive
Analytics

© 2010 IBM Corporation

Business Analytics

User/customer
receives email
notification of new
report

Robust and flexible reporting giving greater reporting insight.

© 2010 IBM Corporation

Business Analytics

Multiple prompts to allow
User/Customer to select what
information they want to display

© 2010 IBM Corporation

Business Analytics

Information is interactive and
Users/Customers can drill down by
clicking on a data element

© 2010 IBM Corporation

Business Analytics

Clicking on the MVSB gauge has
opened a tabular report providing
more information on that particular
system

© 2010 IBM Corporation

Business Analytics

Business Analytics


Extending the Capacity Management
solution


Providing Extended Insight and value
with:


Integrate Cognos Real Time
Monitoring


Providing the ability to stream real
time DB2 and SPSS data into live
dashboards


Feeds into budgeting with:


Expand your chargeback
capabilities with Tivoli Usage and
Accounting Manager


Providing integrated report on
chargeback


Simplified Stack deliverable with:


IBM Smart Analytics System 9600
pre
-
built hardware and software
stack


Extend predictive analytics to other
areas of the business:


Customer Sentiment


Fraud and Risk

Syst
e
m
Z
zO
S
C
a
p
a
ci
t
y
Pl
a
n
n
i
n
g
zL
i
n
u
x
D
B2
D
B2
D
B2

D
a
t
a

Pre
p
a
ra
t
i
o
n
T
D
Sz
T
D
Sz
F
i
l
t
e
r
T
D
Sz
Pa
rse
r
T
D
Sz
D
a
t
a

Pre
p
a
ra
t
i
o
n
An
a
l
yt
i
cs
a
n
d

R
e
p
o
rt
i
n
g

Se
rvi
ce
s
SPSS
St
a
t
i
st
i
cs
Se
rve
r
St
a
t
s-
An
a
l
yt
i
cs
St
a
t
s-
R
e
p
o
rt
i
n
g
Cognos
C
o
g
n
o
s
BI
z/
VM
SPSS Predictive Analytics

© 2010 IBM Corporation

Business Analytics

Agenda



Introduction



The Solution



The Value



Questions/Next Steps

© 2010 IBM Corporation

Business Analytics

The Solution Value to Customer X


Lower Total Cost of Ownership for Capacity Management



Leveraging products and capacity you may already have


More Flexible Reporting and Analytical Environment



Using standardized, compliant and secure tools


Leverage Predictive/Forecasting Analytics for Deeper Insight and More
Optimal Planning.



Gain better insight of your resources



Plan for the future based on historical performance



Understand the what
-
if scenarios as your business grows



Manage SLAs more closely



Balance workload based on business targets

© 2010 IBM Corporation

Business Analytics

1
9

What

s in it for you…


Greater insight and predictability



Lower cost



Standard IBM software with wide range of applicability beyond
capacity planning


DB2 for z/OS


Tivoli Decision Support


Cognos


SPSS



Input into future enhancements from IBM

© 2010 IBM Corporation

Business Analytics

2
0

Evaluation
-

Action plan


Demonstration to you and your team



Executive presentation



TCO analysis



Proposal



Proof of Concept


© 2010 IBM Corporation

Business Analytics

Agenda



Introduction



The Solution



The Value



Questions/Next Steps

© 2010 IBM Corporation

Business Analytics

2
2

22

Typical Utilization for Servers

Windows: 5
-
10% Unix: 10
-
20%
System z: 85
-
100%


System z can help
reduce

your floor space
up to
75%
-
85%

in the data center

System z

can lower your total cost of ownership, requiring
as little as 30%

of the power of a distributed server farm running equivalent workloads

The cost of storage is typically
three times more

in
distributed environments

For additional information please
contact
zcognos@us.ibm.com