Manage your IT Resources with IBM Capacity Management Analytics (CMA)

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1 Manage your IT Resources with IBM Capacity Management Analytics (CMA) New England Users Group (NEDB2UG) Meeting Sturbridge, Massachusetts, USA, November 19, 2015 Milan Babiak Technical Sales Professional Analytics and z Systems Evangelist

2 Agenda 1. What is Capacity Management? 2. IBM Capacity Management Analytics (CMA) Solution 3. Advanced IT Data Analytics - Use Cases 4. CMA Components - DB2, Tivoli, SPSS, CPLEX, Cognos 5. SUMMARY

3 Acknowledgements IBM Capacity Management Analytics Teams in Silicon Valley Laboratories San Jose, California, and China IBM Tivoli Teams in Australia and United Kingdom IBM SPSS Teams in Chicago, IL, US IBM Cognos Teams in Ottawa, ON, Canada... and many others who worked tireless hours to create this powerful solution!

4 Presenting to YOU today: Milan Babiak Technical Sales Professional Analytics and z Systems Evangelist Master of Computer Science from Slovak Technical University in Bratislava, Majored in Computer Systems & Architectures in 1991 Specialties: Solutions Architecture, Analytics on z Systems, Presentations, Motivational Speaking Interests & Passions Family. swimming, cycling, hiking, running. Find me on: LinkedIn: Twitter: https://twitter.com/babiakmilan SLOVAKIA CANADA

5 1: What is Capacity Management?

6 An Enterprise needs: Customer Service Human Resources Operations Product Development Work on scenarios to align development resources IT Sales Marketing Finance Provide discovery and planning tools to reduce error-prone spreadsheet Manage rolling work expenses Effective Operations both for Systems of Records and Systems of Engagement for IT and Lines Of Businesses

7 What is Capacity Management? A process that helps to: Optimize resource utilization Ensure application availability Consolidate and reduce costs Deliver agreed service level targets CMA helps you to meet the SLA CMA = Capacity Management Analytics SLA = Service Level Agreement... and with advanced IT Data Analytics, you can better understand and optimize your workload (chargeback scenarios), what-if scenarios, problem identification, and much more...

8 How to do Capacity Management? Collect & store IT data from various data sources Prepare the data for analysis: Extract, Transform & Load (ETL) Analyze the past events Predict future trends Visualize the data

9 2: IBM Capacity Management Analytics (CMA) Solution

10 IBM Capacity Management Analytics (CMA) Solution Overview Provides cost effective analysis of IT Infrastructure usage, service objectives, resource utilization, system tuning, accounting, cost recovery, & more A single, integrated cost-effective solution Manage z Systems & distributed data center System management Problem identification and resolution Capacity forecasting and monitoring Software Cost Analysis Manage complete time horizons Jump-start time to value & ease of implementation Historical reporting of past performance Forecasting future requirements Real-time anomaly detection Built on IBM s ease-of-use analytics Includes prepackaged, interactive reports Optional services and education

11 3: Advanced IT Data Analytics - Use Cases

12 CMA Use Cases Overview Capacity Planner Manage capacity of the entire Data Center Determine Future Capacity Requirements Manage Software Costs Support LOB /application Chargeback Detect Transaction Anomalies System Administrator IT Manager DISCOVER FORECAST OPTIMIZE Capacity Management Analytics (CMA) DATA CENTER Linux Servers AIX Servers z Systems Windows Servers z Software Middleware Stack

13 CMA Use Case - DISCOVER: Unified View of the past Analyze events across the whole enterprise

14 CMA Use Case - DISCOVER: Advanced Analysis 1 Are you getting the most out of your mainframe? What-if analysis: Relocation to ziip/zaap Engines

15 CMA Use Case - DISCOVER: Advanced Analysis 2 Monitor how well the specified LPAR Policy is working

16 CMA Use Case - DISCOVER: Problem Identification 1 Identify anomalies

17 CMA Use Case - DISCOVER: Problem Identification 2 Based on transaction CPU utilization and elapsed time, find out which CICS transaction is anomalous Use the result to tune or fix problem

18 CMA Use Case - FORECAST: Prediction Story Predict trends

19 CMA Use Case - OPTIMIZE: Application Workload 1 How much MIPS do your applications consume? Which applications are growing? How much should I charge back?

20 CMA Use Case - OPTIMIZE: Application Workload 2 MIPS Used by Applications in an LPAR by day/week/month How do they compare from period to period?

21 CMA Use Case - OPTIMIZE: Software Costs Analysis, Observed Track product MSU usage and costs at LPAR and Server level, identifying peak intervals and tracking 4 hour rolling average (4HRA)

22 CMA Use Case - OPTIMIZE: Software Costs Analysis, MSU Forecast Predict future MSU and cost usage based on forward utilization model

23 CMA Use Case - OPTIMIZE: Software Costs Analysis, $ Forecast Suggest alternative LPAR / product configurations to take advantage of white space and reduce billable MSU where possible

24 CMA Platform Overview IDAA Linux on z Tivoli: Data Collection, ETL SPSS and Cognos: ETL, Analysis & Forecasting Systems of Records Systems of Engagement CMA = Integrated Solution Bundle: Tivoli, SPSS, Cognos, CPLEX

25 4.1: CMA Components in detail DB2 & Tivoli Decision Support (TDSz)

26 Tivoli Decision Support for z/os Architecture Administration Dialog Product Event Logs Log Log collector Collector DB2 Reporting Dialog 3270 Tabular / Graphical Base Product Tivoli Common Reporting System Performance Distributed AS/400 CICS IMS Network (SNA) Tivoli Enterprise Portal Optional Features (not included with Base)

27 4.2: CMA Components in detail SPSS

28 IBM SPSS Predictive Analytics Optimized decisions made possible by pervasive, predictive, real-time decisions at the point of impact Predictive Customer Analytics Acquire Grow Retain Predictive Operational Analytics Manage Maintain Maximize Predictive Threat & Fraud Analytics Monitor Detect Control Statistics Modeler Collaboration and Deployment Services IBM Research Etc

29 4.3: CMA Components in detail Cognos

30 Cognos Business Intelligence (BI) Cognos BI is a solution platform providing easy to use web-browser based analysis, visualization and reporting of data on an enterprise, high performing and scalable services based architecture. Key attributes: Intuitive web based report authoring, consumption and collaboration Consistent user experience on any device desktop & mobile Online & offline analysis Trusted source of data Support large variety of data sources, from other vendors

31 Cognos Look & Feel Pixel perfect reporting Advanced Filtering Workspace with intuitive navigation Easy to use design studios Mobile Analytics online/offline

32 Cognos Architecture

33 4.4: CMA Query Performance Improvement: IDAA

34 IBM DB2 Analytics Accelerator for z/os A workload optimized, appliance add-on to DB2 for z/os that enables the integration of analytic insights into operational processes to drive business critical analytics & exceptional business value. SPEED Dramatically improve query response up to 2000X faster to support time-sensitive decisions Right-time. Low latency. Trusted. Accurate. SAVINGS Minimize data proliferation Lower the cost of storing and managing historical data Free up compute resources SIMPLICITY Simplify infrastructure, reduce ETL and data movement off-platform Non-disruptive installation SECURITY Safeguard valuable data under the control and security of DB2 for z/os Protected. Secured. Governed.

35 IBM Capacity Management Analytics - Resources Capacity Management Analytics IBM - Tivoli Decision Support for z/os SPSS Predictive Analytics Solutions SPSS Modeler DB2 Analytics Accelerator for z/os IBM - Cognos Business Intelligence 35

36 5: SUMMARY 1. What is Capacity Management? 2. IBM Capacity Management Analytics (CMA) Solution 3. Advanced IT Data Analytics - Use Cases 4. CMA Components DB2, Tivoli, SPSS, CPLEX, Cognos

37

38 Copyright IBM Corporation 2015 All rights reserved. The information contained in these materials is provided for informational purposes only, and is provided AS IS without warranty of any kind, express or implied. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, these materials. Nothing contained in these materials is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. References in these materials to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities referenced in these materials may change at any timeat IBM s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. IBM, the IBM logo, Cognos, the Cognos logo, and other IBM products and services are trademarks of the International Business Machines Corporation, in the United States, other countries or both. Other company, product, or service names may be trademarks or service marks of others.

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