System z

Transcript System z

Business Analytics

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.

Business Analytics

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 **

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.

Business Analytics

Customer X Capacity Management Today

System Z

SMF Sources SMF Sources zOS MXG Utilities SAS Components

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

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

z/OS System Utilization Monthly Processor Utilization

Leading edge infrastructure The services to get started right away Industry leading solutions Complete Investment Protection

Effective Cost Control and Management Predictable Planning for Growth Support Emerging Trends Capacity Management Reports Forecasting Reports HIstorical Data Conversions IBM Cognos 10 On-demand Reporting SPSS Statistics 19 Predictive analytics & Modeling Tivoli Decision Support z/OS DB2 z/OS

Linux for System z

System z

z/OS

Business Analytics

Customer X Capacity Management Proposed Solution

System Z zLinux

SPSS

SPSS Statistics zOS SMF Sources SMF Sources DB2

Stats Reporting TDSz Parser RACF RMF SMF DASD TDSz Filter DB2 Data Preparation DB2 Stats Analytics

Cognos Reporting

Other SMF TAPE TDSz Data Preparation

TDSz

Business Analytics

Robust and flexible reporting giving greater reporting insight.

Business Analytics

Business Analytics – Extending the Capacity Management solution  Providing Extended Insight and value

System Z zLinux

with: –

Integrate Cognos Real Time

Analytics and Reporting Services Cognos

Monitoring

• Providing the ability to stream real time DB2 and SPSS data into live dashboards Stats Analytics Stats Reporting Cognos BI Capacity Planning

z/VM zOS DB2

 Feeds into budgeting with: –

Expand your chargeback capabilities with Tivoli Usage and Accounting Manager

• Providing integrated report on chargeback TDSz Parser TDSz Filter DB2 Data Preparation DB2  Simplified Stack deliverable with: –

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

TDSz Data Preparation

TDSz

 Extend predictive analytics to other areas of the business: –

Customer Sentiment

–

Fraud and Risk

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

1 9

Business Analytics

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

2 0

Business Analytics

Evaluation - Action plan



Demonstration to you and your team



Executive presentation



TCO analysis



Proposal



Proof of Concept

Business Analytics

2 2

Business Analytics

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

For additional information please contact [email protected]

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