IBM Capacity Management Analytics
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This document provides an overview of IBM Capacity Management Analytics (CMA). CMA is a solution that helps customers manage capacity across their IT infrastructure through features like systems management and optimization, software cost analysis, capacity planning and forecasting, and problem identification. The document outlines the various components and uses cases of CMA and how it can help customers optimize resources, manage costs, plan future capacity needs, and identify potential problems.
IBM Capacity Management Analytics
- 1. © Copyright IBM Corporation 2015 Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. Capacity Management Analytics V2.1 October 2015 Ann Dowling – adowling@us.ibm.com Offering Manager – IBM Capacity Management Analytics
- 2. © Copyright IBM Corporation 2015 Agenda IBM Capacity Management Analytics (CMA) Overview What is CMA? Product What’s new CMA Application Features Resources
- 3. Get your (customers’) hands dirty Invite your customers to test drive CMA Hands-On-Lab Session #2113 Wednesday, October 28th at 2:00 PM - 5:00 PM 2 We drink our own Champagne Invite your customers to learn how IBM uses CMA: Session #2486 Wednesday, October 28th, 10:30 AM-11:30 AM Mandalay Bay North Convention Center Level - Islander H We’ll see you at Insight! Expo Advanced Analytics Zone & z Systems Zone 1. Enterprise Analytics for IT & Business Ped 2. Lightning Talks @AA Zone Engagement Centers: Mon, Oct. 26, 3:30pm Tue, Oct. 27, 11:30am
- 4. CMA Built on IBM’s ease-of-use analytics solution Pixel perfect reportingA workspace with greater power, intuitive navigation & cleaner look Seamlessly shift to more advanced analysis interaction Communicate your analysis using Microsoft Office Analytics on the go with Mobile devices and disconnected interaction Advanced Filtering
- 5. © Copyright IBM Corporation 2015 What is Capacity Management? Definition from ITIL (IT Infrastructure Library) V3: Capacity Management considers all resources required to deliver the IT service, and plans for short, medium and long term business requirements. Capacity Management aims to ensure that the capacity of IT services and the IT infrastructure is able to deliver the agreed service level targets in a cost effective and timely manner.
- 6. © Copyright IBM Corporation 2015 USE CASES AIX Servers DISCOVER | FORECAST | OPTIMIZE System AdministratorCapacity Planner IT Manager Windows Linux Servers z Systems DATA CENTER Manage Software Costs Manage capacity of the entire Data Center Support LOB /application Chargeback Determine Future Capacity Requirements Capacity Management Analytics 5 Capacity Management Analytics (CMA) Detect Transaction Anomalies Z Software Middleware Stack
- 7. © Copyright IBM Corporation 2015 Capacity Management Analytics V2.1 CMA Platform CMA Solution Cognos BI SPSS DB2 CPLEX TDS for z/OS Systems Management & Optimization Software Cost Analysis Capacity Planning and Forecasting Problem Identification Application Analytics IBM DB2 Analytics Accelerator IBM Confidential until Sept 1, 2015 User Defined Report Templates SPSS Model
- 8. © Copyright IBM Corporation 2015 CMA Solution Capacity Management Analytics V2.1 CMA Platform Cognos BI SPSS DB2 CPLEX TDS for z/OS Systems Management & Optimization Software Cost Analysis Capacity Planning and Forecasting Problem Identification Application Analytics IBM Confidential until Sept 1, 2015 User Defined Report Templates SPSS Model Multiplatform PIDs: D11AYLL (Lic+12m S&S) & D11AZLL (S&S) z/OS PIDs: 5698-CMA (Lic+12m S&S) & 5698-AA7 (S&S)
- 9. z13z13 TDSz v1.8.2 (Active) TDSz v1.8.2 (standby) DRDA Protocol Recommended CMAplex deployment z/OS z/OS Coupling facility LPAR Configuration: Engines: 2CPs, 2zIIPs Memory: 32GIG • Cognos – 16G • DB2 – 8G • TDSz – 2G (~10 concurrent jobs) • Safety buffer – 6G TDSz Configuration: Buffer Size: 200M – 600M Commit After 25000 records Tables Partitioned by Range MVS_SYSTEM_ID Row Level Locking: DRLSYS.DRLLOGDATASETS Tablespaces: Non-logged, Locking: ANY CMA DW DB2 V11 DB2 V11 CMA DW Content store DQM Engine Cognos 10.2.2 dispatcher Content Manager (ACTIVE) Content Manager (standby) DQM Engine Cognos 10.2. dispatcher Content store Clustering Cognos: Active/Active SPSS: Active/Standby TDSz: Active/Standby Modeler Server Cognos Configuration: Cognos 64bit DQM JVM: 2048MB Report Processes: 8 Thread High/Low Affinity: 2-8 Tomcat: maxThreads="150“ minSpareThreads="4" Modeler Client zLinux CPLEX Cognos Framework Manager
- 10. © Copyright IBM Corporation 2015 Data Used in CMA Solution Reports, Forecasting and Optimization SMF RMF Table TABLESP ACE Vol Description Reports 30 70 KPMZ_JOB_INT_H MVSPM_LPAR_H MVSPM_SYSTEM_H MVSPM_LPAR_MSU_T DRLSKZJ2 DRLSMP4 DRLSMP6 DRLSMP4A High volum e low Key Performance Indicators on address space RMF Processor Activity Application Analytics CEC/LPAR Utilization, zServer, SCA 71 MVSPM_PAGING_H DRLSMP22 Paging Activity zServer Monitoring Dashboard 72 MVSPM_GOAL_ACT_H MVSPM_WORKLOAD2_H DRLSMP3 DRLSMP35 high RMF Workload Activity & Storage WLM reports 73 MVSPM_CHANNEL_H DRLSMP07 high RMF Channel Path Activity zServer Monitoring Dashboard 74 MVSPM_DEVICE_H DRLSMP11 high 78 MVSPM_VS_CSASQA_H DRLSMP29 RMF Virtual Storage and I/O Storage reports 89 MVSPM_PROD_T MVSPM_PROT_INT_T DRLSMPB DRLSMP4C low Product MSU utilization SCA 104 $P_OPERATING_SYS_$I $P = A,W,X,Z, $I = H,T DRL low Distributed systems – CIM agents Distributed systems 110 CICS_T_TRAN_T DRLSCU01 high CICS statistics CICS Anomaly Detection 119 TCP_TCPSERV_PORT_H DRLSTCP0 high Network Reportlet
- 11. IBM Capacity Management Analytics • Executives and managers – level dashboards • End-to-end view of your enterprise landscape: mainframe AND distributed • Role-based customized views to analyze, visualize and make informed decisions. Question: Do you have 24x7 visibility on your enterprise capacity? Systems Management & Optimization
- 12. © Copyright IBM Corporation 2015 • System z Integrated Information Processor (zIIP) & System z Application Assist Processor (zAAP) • Specialty processors have lower hardware acquisition costs and zIIP’s & zAAP’s don’t impact software pricing based on capacity Systems Management & Optimization Question: Are you getting the most out of your zIIP engines? IBM Capacity Management Analytics • Prescriptive recommendation of LPAR Policy. • Monitor how well the specified LPAR Policy is working Question: Are you getting the most out of your mainframe ?
- 13. © Copyright IBM Corporation 2015 LPAR Weight Optimization • Overview • Prescribe more effective LPAR policy (weight values) optimized for the “demand” workload - work that must run on the LPAR based on priority (importance levels) • Scope • Input data can be 2-5 days (does not need to be continuous) which best represent the peak and competing “demand” workloads among LPARs • Supports optimization of multiple date periods (one size does not fit all) • Results shown in report (CPU:LPAR Weight Optimization Run Result). • Use other CMA reports to determine the input information to do the optimization (CPU:MIPS Used –Service Class Period Level, CPU:MIPS Used –LPAR Level by WLM Importance, CPU:Over/Under Share Weight – CPC by LPAR) • Restrictions • Only support certain process type (CP, zIIP, zAAP, IFL) • Importance level used for LPAR with z/OS only – customer supplied % “demand” workload used for all other LPARs • The total weight percentage of LPARs is 100% which skews result Because of unknown workloads on the LPAR Systems Management & Optimization
- 14. © Copyright IBM Corporation 2015 Distributed Components • Linux for System z • CPU Usage report • Memory Usage report • Linux for System X • CPU Usage report • Memory Usage report • AIX • CPU Usage report • Memory Usage report • Windows • CPU Usage report • Memory Usage report • Enterprise Dashboard workspace • Shows high level information for all the supported servers across the enterprise. Systems Management & Optimization
- 15. © Copyright IBM Corporation 2015 Windows – CPU Usage 14
- 16. © Copyright IBM Corporation 2015 WINDOWS – Memory Usage 15
- 17. IBM Capacity Management Analytics Start with a top-down, big picture view Then drill down to greater detail to identify potential capacity problem Perform simple ad hoc analysis to predict potential issues before they impact the business WeekAggregation 10MinuteAggregation Problem Identification Question: Can you quickly identify where problem might happen? Real Time Scoring SMF data Detect potential problems before they happen and take action to prevent them
- 18. © Copyright IBM Corporation 2015 Near real-time Anomaly Detection Provides anomaly detection analysis on CICS transaction data. Helps customer find out which CICS transaction is anomaly. And customer can use our result to tuning or fix problem of their production environment. 17 Based on transaction CPU utilization and elapsed time Problem Identification
- 19. IBM 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 help organizations use their data to make better decisions by drawing reliable, data-driven conclusions based on past and current events. Future capacity requirements can be forecasted to help ensure that sufficient capacity is available when the business needs it. Capacity Planning and Forecasting Question: Would I have enough capacity to handle my business growth in the next three months?
- 20. Answers cost questions such as: • How much MSU is consumed in LPAR(s) and where is the billable peak? Which products contribute to the peak and by how much MSU? • How much should be billed on the whole z machine (CEC) for SCRT cycles? or other date ranges? • What is the total billable MSU and cost for all z machines in an enterprise? Better manage z/OS software costs Identify where and when workloads need to be adjusted Determine when additional capacity is required Software Cost Analysis IBM Capacity Management Analytics
- 21. Software Cost Analysis – Three Scenarios Optimized: Suggest alternative LPAR / product configurations to take advantage of white space and reduce billable MSU where possible. Observed: Track product MSU usage and costs at LPAR and Server level, identifying peak intervals and tracking 4 hour rolling average (4HRA). Forecasted: Predict future MSU and cost usage based on forward utilization model. Software Cost Analysis
- 22. © Copyright IBM Corporation 2015 Health Warning •Moving Workloads is not so simple… • There are often application dependencies hidden from products like CMA • e.g. CICS transaction affinities •CMA allows users to specify which products must be kept on same LPAR •Traditional methods for reducing MIPS are still important • e.g. application tuning, SQL optimization Software Cost Analysis
- 23. © Copyright IBM Corporation 2015 Software Cost Analysis – Additional Notes • Does NOT replace SCRT • Uses the same data & same rules • Needs the SCRT NO89 listings • Pricing Structures Supported • MLC • IPLA: Execution Based, Reference Based, zOS Based • IWP • GSSP • License Charges Supported • AWLC, AEWLC, MWLC, VWLC, EWLC, zNALC, • VUE001, VUE007, VUE020, • Monetary Value • Forecasting MSUs at the LPAR & Product level • Looking into Optimizations & Recommendations Software Cost Analysis
- 24. 23 We know what you(r applications) did last summer … and this summer … and how much … and where Application Analytics Application Analytics Overview • Provides the ability to track, predict and improve utilization of existing server resources (CPU) by defined applications or lines of business. May help with developing a charge back process Scope • Hierarchical and Flexible mapping to either to Report Classes or Jobnames Functions of Application that run in an environment • Mapping occurs during report execution, not hardened in the data • Utility (stream) provided to determine transaction capture ratio for CICS and IMS Restrictions • Assumes distributed server runs a single application • Does not show application spread across distributed and mainframe • Forecasting available only at application function level
- 25. Application Analytics Application Analytics Answers questions such as: • How much MIPS do your applications consume? • How do they compare month to month? • Which applications are growing? How much should I charge back?
- 26. Application Analytics MIPS Used by Applications in an LPAR by day Application Analytics
- 27. Application Analytics Application Summary CPU usage Application Analytics
- 28. 27 Resources
- 29. IBM Capacity Management Analytics - Services & Education Quick Win Services To ensure fast time-to-value and lower risk, enables customers to quickly and efficiently deploy the solution with IBM proven practices. Experienced IBM specialists work closely with the customer to install and tailor the CMA solution. Customized Report Creation Services Beyond the CMA Quick Win Implementation service and training options, IBM also offers comprehensive customization services for additional reporting and predictive analytics requirements unique to your customers needs. Education IBM offers a variety of training options ranging from instructor-led to self-paced virtual classes to suit your needs and budget. This includes training on Cognos Business Intelligence for introductory and advanced reporting skills and SPSS for predictive modeling. Highly Recommended
- 30. Education Services Recommended SPSS and Cognos Business Intelligence (Baseline Training for 1 User) SPSS Modeler (4 days – Self Paced Virtual Course) • Introduction to IBM SPSS Modeler and Data Mining (v15) - 0E004: 2 days • Advanced Data Preparation using IBM SPSS Modeler (v15) – 0E054: 1 day • Clustering and Association Modeling with IBM SPSS Modeler (v15) – 0E042: 1 day Cognos Business Intelligence (10 days - Self Paced Virtual Course) • IBM Cognos Framework Manager: Design Metadata Models (v10.2) – J2252: 5 days • IBM Cognos Report Studio: Author Professional Reports Fundamentals (v10.2) – J2258: 3 days • IBM Cognos Report Studio: Author Professional Reports Advanced (v10.2) – J2259: 2 days Note: • Additional Self Paced Virtual Course cost per user additional • BI Training can be taken based upon user role: Administrator, Report Writer, etc Tivoli Decision Support (Knowledge Transfer Session) • Introduction and Installation • Log Collector and the Reports • Database Overview • Component Details and Advanced Topics 29
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- 32. © Copyright IBM Corporation 2010 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 time at 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.