5063 - IT Operations Analytics Bridging Business and IT
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This document provides an overview of an IT operations analytics session at Interconnect 2016. It begins by outlining the objectives and key topics to be covered in session NZS-5063 on bridging business and IT using IT operations analytics. These include collecting and organizing infrastructure data to provide business-relevant insights. It then lists several related breakout and lab sessions on topics like capacity management analytics, mainframe optimization, and use cases. The document encourages attendees to visit the IBM booth to learn more about Capacity Management Analytics and lists contact information for CMA sales representatives. In closing, it advertises two customer feedback roundtables on common analytics platforms and using System z for cloud computing.
5063 - IT Operations Analytics Bridging Business and IT
- 1. IT Operations Analytics = Bridging Business and IT Session #5063
- 2. Objectives The ability to meet customer demands now and in the future is a critical function in any business. Being caught by surprise by spikes in IT demand from the business could mean you are not just leaving money on the table, but also not meeting your customers' needs. See how to collect, organize and convert infrastructure data into business-relevant information, and how solutions from IBM can help you to: 1. Describe and understand current state; 2. Predict future trends and growth; and 3. Provide prescriptive optimization recommendations to address gap analysis or anomaly detection "what-if" scenarios. The insight you gain will allow you to better handle the business dynamics of the applications that consume IT infrastructure resources. 1
- 3. IT Operations Analytics Business Analytics Analytics based on corporate data to gain insights for business initiatives. - customer buying patterns - using tool such as SPSS, Cognos Operational Analytics Analytics as part of transaction processing, aka OLTAP – OnLine Transactional and Analytics Processing. - Fraud detection on a banking transaction - IDAA usage with z/OS IT Operations Analytics Analytics against machine data to make IT systems smarter, and IT teams more efficient 2
- 4. Search & Analyze: Quickly search and analyze large volumes of data from a single search bar Perform log and performance analysis while searching Correlate messages from multiple logs for end-to-end problem diagnosis Predict: Pro-Active Outage Avoidance Predict problems before they occur Optimize: Improve performance across IT Infrastructure IBM is focused on managing end-to-end analytics for improved performance and workload management 3 IBM Analytics solutions for z Systems Predict IBM zAware zOI Proactive Outage Avoidance Search & Analyze IBM Operations Analytics for z Systems Faster Problem Resolution Optimize IBM Capacity Management Analytics (CMA) Optimized Performance 3
- 5. The Capacity Management domain addresses three levels of maturity. Business Capacity Management (BCM): This sub-process is responsible for ensuring that the impacts of future business requirements for IT services upon IT infrastructure resources are considered, planned, and implemented in a timely fashion Service Capacity Management (SCM): This sub-process is the management of the performance of the IT services (applications) used by the customers. It is responsible for ensuring that the service performance is monitored, measured and reported; and meets business requirements and agreements Component Capacity Management (CCM): This sub-process is the management of the performance, utilization, and capacity of individual IT infrastructure components possessing finite resources ITIL® refers to these three levels as Capacity Management sub-processes. Capacity Management is included in ITIL® process framework. 4
- 6. 5 Elements of Demand Management a main source of business demand used by Capacity Management to develop capacity forecasts and solutions. Excerpted from “Service economics” chapter of itSMF publication for ITIL® V3 core documents, 2008-12-15. Conceptual View Business processes are the primary source of demand for services. Patterns of business activity (PBA) influence the demand patterns seen by the service providers (Figure5.23) It is very important to study the customer’s business to identify, analyse and codify such patterns to provide sufficient basis for Capacity Management. Visualize the customer’s business activity and plans in terms of the demand for supporting services 5
- 7. 6 …and…add ITIL V3 Service Strategy Demand Management for ‘sense and respond’ alignment with client Business Transformation ITIL® Demand Management Key Activities: • Establish Demand Management framework • Value and classify business demands • Consolidate business demand patterns and forecasts • Forecast service demand • Identify and plan demand management initiatives • Assess and report demand management outcomes • Evaluate demand management performance Capacity Management translates business demand through to the component level.
- 8. 7 Several tasks in the Demand Management process need to be driven by Capacity Management to obtain improved capacity requirements and forecasts. Demand Mgmt. Process Activity Demand Mgmt. Process Task Relationship with Capacity Management Note: This is a minimal subset to provide input to Capacity Management Value and Classify Business Demands Identify and Analyze Business Demand Streams and Demand Work with business areas to gather business demand information, analyze types of demand in business terms and obtain trend of the demand - For customers of IT, internal and external Forecast Service Demand Create Business Demand Forecasts Work with business areas to create forecasts of business demand for major business areas Assess & Report Demand Mgt. Identify Service Demand Baselines Determine existing baselines for service demand for given business areas Forecast Service Demand Translate Service Demand to Service Consumption Units Convert service demand into service consumption units for the business areas Forecast Service Demand Translate Business Demands to Service Demands Take business demand data and results and identify demand for specific IT services Forecast Service Demand Create Service Demand Forecasts Take the Service Demands and create forecast for the required IT services (input to “Model and Size Capacity Requirements” and “Produce and Maintain Capacity Plan”
- 9. The Analytics Maturity Model also has three levels of progression. Analytics is a means to an end: But its value comes from the decisions it enables It is OK to start with reporting But think about the decisions you want to enable Data Insight Action DecideAnalyze Predictive Analytics • What will happen? Descriptive Analytics • What has happened? Prescriptive Analytics • What should we do? Business Value 8 SEARCH & ANALYZE
- 10. AIX Servers DISCOVER | FORECAST | OPTIMIZE (DESCRIPTIVE | PREDICTIVE | PRESCRIPTIVE) Application ArchitectChief Architect IT Manager Windows Linux Servers z Systems DATA CENTER Capacity Management Analytics (CMA) Z Software Middleware Stack Capacity Management Domain Expert Modules Systems Management & Optimization Software Cost Analysis Capacity Planning and Forecasting Problem Identification Application Analytics System Administrator Capacity Planner CMA provides modular built-in expertise for the capacity management domain that turns machine/infrastructure data to actionable insight. 9
- 11. Several significant new capabilities were announced with CMA v2.1 covered in Session #5068: . CMA Platform CMA Solution Kit Modules Cognos BI DB2 CPLEX TDS for z/OS Modeling & Optimization Systems Management & Optimization Software Cost Analysis Capacity Planning and Forecasting Problem Identification Application Analytics IBM DB2 Analytics Accelerator User Defined Extensible Report Templates SPSS Model Data Collection, Scheduling & Automation Reporting & Visualization SPSS 10
- 12. 11 CMA’s five modules of provide built-in expertise to enable progression of both Capacity Management and Analytics Insight. IT Analytics can be used to tap into the rich set of readily available infrastructure data coupled with application metrics …and with business metrics …to progress from Descriptive to Predictive to Prescriptive INSIGHT & ACTION! CapacityManagementMaturity BUSINESS (byIndustry) C-Suite&IT Managers Personas SERVICE: Applications Developers, Application Architects COMPONENT: Infrastructure CapacityPlanners, InfrastructureArchitects DESCRIPTIVE PREDICTIVE PRESCRIPTIVE Capacity Analytics Insight & Action 11
- 13. Question: Are you getting the most out of your zIIP engines? • 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 IBM Capacity Management Analytics Question: Are you getting the most out of your mainframe? • Prescriptive recommendation of LPAR Policy • Analyze whether utilization is over/under your guaranteed share • What-if analysis of different target demand workload to make best use of available capacity. Systems Management & Optimization
- 14. Systems Management and Optimization LPAR Weight Optimization Run Result Systems Management & Optimization 13
- 15. Systems Management and Optimization Over/Under Shared Weight – CPC by LPAR Systems Management & Optimization Determine available white space by comparing target “demand” workload against total workload. 14
- 16. 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? 15
- 17. Forecasting – SPSS Time Series Modelling Capacity Planning and Forecasting 16
- 18. 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 17
- 19. 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 18
- 20. 4-part series on “Exploring Analytics to Enable the Business and Service Value of Capacity Planning” • Part 1 - Introduction to Analytics for Capacity Planning – Published in the Computer Measurement Group Journal => CMG Journal Issue 134, Summer 2013 • Part 2 - Analytics and the Capacity Management Information System (CMIS) – Published in => CMG Journal Issue 136, Spring 2014 • Part 3 - Analytics Techniques in Capacity Management: Forecasting and Modeling – Published in => CMG Journal Issue 137, Winter 2015 • Part 4 – Visualization Target for Spring or Summer 2016 Co-Author Acknowledgments Ann Dowling, Senior Offering Manager – CMA, Analytics Solutions, IBM - adowling@us.ibm.com Beth Rudden, STSM, Optimized Services, IBM - brudden@us.ibm.com Clea Zolotow, Distinguished Engineer, Global Technology Services, IBM - zolo@us.ibm.com Maris van Sprang, Analytics Architect, Global Business Services, IBM - m.vansprang@nl.ibm.com
- 21. IBM Capacity Management Analytics @ Interconnect 2016 IBM Capacity Management Analytics on turns machine data to actionable insight and provides built‐in expertise in capacity management. ------------------------------------------------------------------------- Meet us at Interconnect 2016 NZS‐5068 : Introduction to Capacity Management Analytics Session Type : Breakout Session Date/Time : Mon, 22‐Feb, 04:30 PM‐05:30 PM Venue : Mandalay Bay SOUTH Room : Mandalay Ballroom B ------------------------------------------------------------------------- NZS‐5063 : IT Operations Analytics = Bridging Business and IT Session Type : Breakout Session Date/Time : Thu, 25‐Feb, 10:30 AM‐11:15 AM Venue : Mandalay Bay SOUTH Room : Mandalay Ballroom B ‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐ NZS‐5807: Explore IT Analytics Use Cases with IBM Capacity Management Analytics Session Type: Scheduled LAB Date/Time: Wed, 24‐Feb, 08:30 AM Venue: Room: CMA: IBM’s ease-of-use analytics solution • A workspace with greater power, intuitive navigation and cleaner look • Pixel perfect reporting • Advanced Filtering • Seamlessly shift to more advanced analysis interaction • Communicate your analysis using Microsoft Office • Analytics on the go with Mobile devices and disconnected interaction What’s new with IBM CMA V2.1? • Application Analytics • LPAR Weight Optimization • Software Cost Analysis • Anomaly Detection for CICS • Dynamic Capacity Formulas • System Management • Capacity Planning and Forecasting To learn more about IBM Capacity Management Analytics, visit us at: http://www-03.ibm.com/software/products/en/capacity-management-analytics 20
- 22. www.analyticszone.com CMA Contacts Alvin Cho - acho@us.ibm.com Ann Dowling - adowling@us.ibm.com Anita g Jebaraj -ajebara@us.ibm.com Hsin-wei Tsao - htsao@us.ibm.com Jaime Anaya - janaya@us.ibm.com Todd Evans - toddevan@us.ibm.com CMA Technical Sales NA Tech Sales Analytic on z System Technical Sales Mgr Ben DeVivo ‐ bdevivo@us.ibm.com Client Technical Professional Avard Hart ‐ avardh@us.ibm.com Rajeev Kamath ‐ rvkamath@us.ibm.com Milan Babiak ‐ Milan.Babiak@ca.ibm.com Technical Sales Specialists Norman Hollander – znorman@us.ibm.com Dennis Moore – admoore@us.ibm.com NA Technical Solution Architects Technical Solution Architect, Business Analytics Michael Schapira ‐ michael.schapira@us.ibm.com UKI: Melanie Chilvers ‐ Melanie.Chilvers@uk.ibm.com Jurgen Hoogerboord ‐ jurgen.hoogerboord@uk.ibm.com Michael Lowe ‐ michael.lowe@uk.ibm.com Germany: Patrick Unger ‐ patrick.unger@de.ibm.com Spain: Santiago Cantero Fernandez ‐ santi.cantero@es.ibm.com LATAM Analytic on z System Technical Sales Mgr Aroldo Y Yai ‐ aroldo@br.ibm.com Client Technical Professional Anderson da Silva Sforcini ‐ andersonss@br.ibm.com Carolina Leonor Golia ‐ cgolia@ar.ibm.com Fernando Arellano ‐ farellano@mx1.ibm.com 21
- 23. 22 ITOA Sessions Session number Title Speakers 3957 Batch Job / Scheduling Analytics using IOAz Sundaraveul Shanmugam, IBM Albee Jhoney, IBM 4440 A Look Into How IBM zAware Improves Availability Chris Brooker, IBM Anuja Deedwaniya, IBM 4463 IBM zAware Client Experience Chris Brooker, IBM Anuja Deedwaniya, IBM 4532 Bringing Real-time SMF Data to Life with ITOA for z Systems Alan Place, IBM & Barry Klutz, IBM 4561 IBM Operations Analytics for z Systems Client Experience Barry Klutz, IBM 5063 IT Operations Analytics = Bridging Business and IT Ann Dowling, IBM 5068 Introduction to Capacity Management Analytics Ann Dowling, IBM
- 24. 23 Customer Feedback Roundtables • 6318 Common IT Operations Analytics Platform – In this roundtable session we will discuss the current state and the roadmap of IBM IT Operations Analytics platform. Are you putting IT Ops Analytics to work for you, allowing your staff to work faster and smarter and manage your environment better? Discuss how the must- have IT Ops Analytics tools will save you money and enhance your credibility (as regards SLAs) by cutting the mean time to repair significantly. We'll discuss how to look at your data through Insight Packs while permitting machine intelligence to assist in facilitating your environment. • 6319 Roundtable: IBM System z, built for cloud – In this roundtable, we will discuss how your needs are changing as pressure to adopt cloud service models increase. The focus will include, how to offer traditional System z services in a platform as a service, or software as a service model. How to enable end users to request resources in a self-service manner. What options are available to enable z/OS resources to participate in a hybrid cloud application. Provide feedback on what cloud scenarios for IBM System z are being considered in your organization, and what challenges exist that could be removed to make this transition less difficult. • 6326 z Software Monitoring/Automation Futures – In this roundtable, we will discuss your needs in the Service Management Suite for z/OS that includes comprehensive OMEGAMON monitoring and System Automation for z/OS capabilities. The focus will include IBM Service Management Unite, the suite's new web user interface that integrates performance monitoring, automation and log analysis, simplifying problem identification, problem isolation and service restoration. We want to hear your opinions about how Unite should be enhanced in the future. What kind of workloads need to be managed? Are there essential functions you need to lower your operational risk or manage IT costs? How should z Systems strategies such as mobile, DevOps, cloud or API management be factoring into our solution?
- 25. Thank You Your Feedback is Important! Access the InterConnect 2016 Conference Attendee Portal to complete your session surveys from your smartphone, laptop or conference kiosk.